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Location: Remote Automattic , the company behind WordPress.com , Jetpack , WooCommerce , Tumblr and more, is seeking a talented attorney to support our product, privacy, and regulatory work. We’re looking for a versatile lawyer who gets things done with minimum friction, makes the complex seem simple, and can provide actionable advice to help business teams launch great products for our vibrant community of users. You’ll advise product, engineering, and marketing teams to launch new products that delight our users; untangle the complex web of global regulations that apply to Automattic’s business; and protect free expression and the open web. Responsibilities: Advise product, engineering, and trust & safety teams on implementation of a broad assortment of regulations and industry standards, with a focus on content safety, consumer protection, intellectual property, privacy, and data security. Familiarity with laws like DSA, the UK and Australian Online Safety Acts, EU AI Act, and worldwide age-assurance laws is a major plus. Provide product counseling on a wide array of products relating to web hosting, site creation, content publication, ecommerce, social media, and more, using a business-forward approach that puts our customers at the center of your analysis. Provide subject matter expertise on data protection and privacy laws, such as GDPR and CCPA, advise on consent frameworks for digital marketing and advertising, and build scalable processes for documenting compliance. Track and prepare for upcoming regulations, and participate in industry groups around the globe, representing Automattic before regulators and advocating for Automattic’s interests before government agencies and officials. Work with trust & safety teams to develop and oversee policies championing freedom of expression and user safety while complying with applicable laws. Design processes and workflows that enable the legal team to effectively scale compliance in a manner that meets the increase in regulatory and privacy requirements. Requirements: JD from a US accredited law school with 5+ years of relevant experience (or an exception EU-based attorney) Familiarity with the industries, concepts, and business models relevant to Automattic’s products (e.g., open source, user-generated content, web hosting, social media, ecommerce, and digital advertising) and the product, privacy, and regulatory requirements that apply to them. Humble and eager teammate who is also able to function independently and work in an asynchronous environment, with a willingness and ability to stretch into new areas like litigation or IP if needed. Be comfortable in the grey areas, and have the ability to provide recommendations and offer clear thinking even with imperfect information. We are hiring at either the Counsel or Senior Counsel level, and we encourage candidates across both levels to apply. Title, compensation, and the scope of independent ownership over the matters described above will reflect the experience and qualifications a candidate brings to the role. Compensation and Benefits We are currently prioritizing candidates who reside in the United States or Europe. Salary range: $180,000 - $300,000 USD. Please note that salary ranges are global, regardless of location, and we pay in local currency. We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated. This isn’t your typical work-from-home job; we are a fully-remote company with an open vacation policy. Read more about our compensation philosophy. To see a full list of benefits by country, consult our Benefits Page . And check out these links to learn more about How We Hire and What We Expect from Ourselves . #LI-DNI About Automattic Now in our 20th year , we’re the people behind WordPress.com , WooCommerce , Beeper , Tumblr , Simplenote , Jetpack , Longreads , Day One , PocketCasts , and more. We believe in making the web a better place. We’re a distributed company with more than 1500 Automatticians in nearly every corner of the globe, speaking over a hundred different languages. Enriched by this diversity, we’re united by a singular mission: to democratize publishing, commerce, and messaging so anyone with a story can tell it, anyone with a product can sell it, and everyone can manage their communications from a single source. In short, we help maintain a balance in society, creating and continually refining powerful tools people can use to compete fairly—regardless of income, gender, politics, language, or where they live in the world. We believe in Open Source , and the vast majority of our work is available under the GPL . Automattic is a Most Loved Company , an Equal Opportunity employer, and Disability Confident Committed . ( Here’s what that might mean for you .) If you need accommodations during the application or interview process, please fill out this form . We are committed to ensuring an accessible hiring process for all candidates. Learn more about our Employee Resource Groups . You can track your application status and more at MyGreenhouse . To learn about how we handle your data, please review our Job Applicant & Candidate Privacy Notice and our Privacy Policy . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. View the “Know Your Rights: Workplace Discrimination is Illegal” poster here . Automattic participates in the E-Verify program in certain locations, as required by law .

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Procurement Operations is the front door for buying at Anthropic. We sit inside Finance Operations and own the path from “I need to buy something” to a signed agreement, an accurate purchase order, and clean spend data at month-end. We are hiring a Procurement Operations Business Partner to own that path for our research organizations and the special programs that spawn out of it. This portfolio behaves differently from the rest of the company in that it purchases goods and services from highly-specialized vendors and new programs regularly appear with real purchasing needs before any process exists for them. You will be the person who makes all of that feel simple to the researchers and program leads who depend on it, and reliable to the Finance stakeholders behind it. This is a high-volume role with an accounting core. You ensure every purchase in the portfolio is coded, dated, received, and accrued correctly, so research spend is right in the books every month. Expect a steady queue of requests, work orders, and change orders, and expect to be the person Accounting trusts on all of it. We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native procurement operations function looks like, including how AI changes intake, document review, vendor coordination, and requester support. Responsibilities Own the purchasing path for R&D Manage a high volume of purchase requests, work orders, and change orders each month across research teams and programs, keeping speed and accuracy high at the same time. Serve as the primary procurement partner for Anthropic's research teams and special programs, guiding requesters from initial request to signed agreement and issued purchase order. Review every purchase request in your portfolio for the things that matter downstream: the right vendor record and contracting entity, complete commercial documents, correct spend categorization and service dates, and the approvals the purchase actually needs. Determine what each request requires before it can move, whether that is a statement of work, an order form, an amendment, a security or privacy review, or a third party risk assessment, and route it to the right reviewers the first time. Launch and track contract review with Legal, keep it moving, and confirm the executed agreement supports the purchase order before it is issued. Structure purchase orders so they match how the vendor bills (fixed fee, milestone, per-unit, or usage in arrears) and how Accounting needs to see the spend, with the right GL account, cost center, and service period on every line. Manage change orders, renewals, and closures over the life of each agreement. Act as the dedicated operations partner for our research services vendor portfolio, where engagements are structured as master agreements with frequent work orders and scope changes, and where speed and documentation discipline both matter. Handle the mechanics that come with hardware, equipment, and lab purchasing, including multi line quotes, lead times, shipping and receiving, and asset handoffs. Financial completeness & accuracy Code every purchase order correctly at creation, including GL account, spend category, cost center, and service period, and understand how each choice lands in the financials (expense vs. prepaid, capitalized equipment vs. operating spend). Work the hard cases with Accounting: services that span periods, partially delivered milestones, per-unit work billed in arrears, credits and true-ups, and work orders amended mid-month. Own the open purchase order book: receipts recorded against actual delivery, periodic reviews, stale line cleanup, coding corrections, and timely closures, so PO, receipt, and invoice agree. Serve as the first line reviewer for month end accruals on your portfolio, gathering estimates from vendors and budget owners for variable spend and confirming or correcting proposed amounts so Accounting can close on time. Partner with Accounts Payable to resolve invoice holds, PO mismatches, and receiving questions so vendors are paid on time and spend lands where it belongs. Support audit and reporting requests that touch your portfolio, including commitment schedules and control evidence, with data you can stand behind. Stand up new programs Be the first procurement call when a new research program or initiative spins up. Scope what they will buy and how often, agree a right sized path with Legal, Security, and Finance, and have it working before volume arrives. Run a regular pipeline check in with your highest velocity teams so upcoming purchases are visible early and nothing urgent arrives as a surprise. Translate procurement, legal, security, and finance requirements into plain language for researchers and engineers, and carry their operating reality back to those teams so controls fit the work. Be the front door Be visible and responsive in your teams' Slack channels and office hours; answer routine purchasing questions quickly and escalate real blockers with context. Apply purchasing policy consistently and explain the why, including approval thresholds, signature authority, and when an exception is and is not available. Continuous improvement Maintain the playbooks, intake guidance, and standard operating procedures for your portfolio so the path is repeatable and does not live in one person's head. Identify manual steps, repeat questions, and failure points and fix them, including where Claude and workflow automation with AI can take work off requesters and the team. Minimum qualifications Proven track record of owning a high-volume purchasing portfolio end-to-end in procure-to-pay and intake platform. Solid working knowledge of accrual accounting as it applies to purchasing: accruals and reversals, service period and cutoff, prepaid vs. expense, and GL and cost center coding. You can explain how a purchase order becomes an entry in the general ledger. Experience supporting outsourced or managed service vendors at scale, where scope and volume move month to month and the contracts, purchase orders, and invoices have to keep up with each other. Working knowledge of how contract review, security and privacy review, and financial controls fit together in a purchase, and the judgment to know when to push a request through and when to slow it down. Preferred qualifications 5-7+ years of procurement operations, purchasing, or vendor operations, including time supporting a research, engineering, hardware, or outsourced services organization. Experience as the embedded procurement partner for a hyper scaling data operations, ML, RL, and lab environments Time at a hypergrowth technology company scaling procurement operations for outsourced or vendor delivered work. Background in accounting, accounts payable, or a month-end close process, including experience with three-way match Sourced human data, data labeling, annotation, or evaluation vendors (or comparable BPO and outsourced operations) with a point of view on where that market is heading Direct experience with Zip, Workday Financials, and Ironclad. Prior ownership of month end accrual review or open PO reconciliation for a large, variable spend portfolio Experience designing tiered intake or approval frameworks that sped up low risk purchases without weakening controls. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion has a very successful "land and expand" business model; our customers start using Notion for free, upgrade over time as they expand their teams, and embrace increasingly sophisticated use cases. Often, these users and champions are different than the person who has enterprise purchasing authority. The Demand Generation team serves as a dot-connecter across sales, marketing, and operation teams to identify, engage, and convert decision makers at our target mid market and enterprise companies. In this role, you will partner with demand generation teammates and sales stakeholders to ideate and execute in-person events, designed to help open, accelerate, and close business. As a Field Marketing Manager, you will own and execute field events that are Notion-hosted, third party, co-partnered, and ancillary to third party events. This strategic position focuses on driving pipeline that meaningfully contribute to Notion's bottom line.   This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Delight Notion customers and prospects, with a guest-first approach to creating field events and experiences that bring the Notion brand and product to life. - Own end-to-end planning, execution, and measurement of field programs to support our AMER Sales team - encompassing executive experiences, large-format educational events, trade shows, and co-sponsored activations with partners. - Manage all event logistics, production, venue sourcing, budget tracking, marketing campaigns, sales enablement, content development, and audience acquisition. - Leverage quantitative and qualitative insights to make recommendations on how we invest in field events to drive incremental business impact. - Partner closely with Sales and broader Marketing team to align events and audiences to objectives for top accounts and craft tailored programs that nurture those accounts - Partner with our Operation and BizTech teams to manage and better utilize our go-to-market systems SKILLS YOU'LL NEED TO BRING: - 8-12+ years of related marketing experience. - You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results. - You're a creative problem-solver who doesn't wait for a perfect playbook. You've built field events from scratch, and you're energized by figuring out what works in new territory. - You have a bias for action and experimentation. You'd rather test and learn than wait for consensus, and you know how to balance scrappiness with strategic thinking. - You're a strong cross-functional collaborator. You know how to work with sales, ops, and creative teams — and you can align people around a shared goal without needing authority to do it. - You're pipeline-obsessed. You understand how your programs connect to revenue and can speak credibly about pipeline contribution, not just top-of-funnel metrics. NICE TO HAVES: - Experience in a fast-paced, B2B tech environment - You're a Notion user and understand our value to businesses - Salesforce, Marketo experience Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $175,000-$200,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: United States (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. We’re hiring a Senior Communications Officer, Media & Public Affairs to lead how GiveWell’s work is represented in the media and in public conversations. You will set our strategy, build trusted relationships with journalists and other influential voices, pursue opportunities that increase understanding of GiveWell’s work, and lead our external response in fast-moving situations. This role will lead a small and growing team. This is one of three new communications leadership roles, alongside a Senior Communications Officer, Strategic Communications and a Senior Communications Officer, Editorial & Production . About the role Both our research and impact are expanding . Last year, we directed more than $400 million to highly cost-effective programs that save and improve lives. This year, we expect our grantmaking to approach, and possibly exceed, $1 billion. To build toward the communications capacity this next stage requires, we are rapidly expanding our team. The three Senior Communications Officers will work together on many projects to support GiveWell’s communications needs, while working closely with other leaders across our organization. Each leader will own their function, but much of the work that matters most—like team strategies, major initiatives, partnership campaigns, and how we present the organization as a whole—will involve all three. We will expect this group to set shared priorities and work closely together to achieve the team’s goals. In this hands-on leadership position, you’ll own how and where GiveWell engages in media and public conversations, with end-to-end responsibility for this emerging function. You’ll set its strategy, hire and develop its people, build its systems, and personally own its hardest and most consequential work. This is an opportunity to build, not just inherit, an important function at a critical point in GiveWell’s development. You’ll start with a small team and grow it over time. While this role is set at the Senior Communications Officer level, we may consider hiring an exceptional candidate as a Communications Director—with greater expectations, responsibilities, and compensation. What You'll Do As Senior Communications Officer, Media & Public Affairs, you will combine long-term strategy and relationship-building with the ability to respond quickly and exercise sound judgment in sensitive or fast-moving situations. Specific duties will include: Set GiveWell’s strategy across media, thought-leader engagement, online communities, public forums and events, and other earned communications opportunities—including deciding where and when GiveWell should participate and overseeing those engagements. Build and maintain high-trust relationships with journalists, editors, podcast hosts, event organizers, thought leaders, subject-matter experts, and other influential external stakeholders. Identify, develop, and pitch substantive stories, event opportunities, and thought-leadership ideas that extend understanding of GiveWell’s work. Own inbound media engagement, including situations that require rapid responses, close coordination with subject-matter experts, and careful judgment about what GiveWell can responsibly say—and about which responses need escalation. Build and maintain GiveWell’s readiness for sensitive or fast-moving situations, monitor emerging issues in media and public conversations, and lead our external response when needed in partnership with others. Advise GiveWell’s leadership on external opportunities and relationships, and prepare senior leaders and subject-matter experts for interviews, speaking engagements, and other public appearances. Exercise sound judgment about when and how GiveWell should enter public conversations, including evaluating likely value, reputational considerations, and communications risks. Evaluate and help shape public-facing communications partnerships, advising on which opportunities GiveWell should pursue and how we should participate. Serve as a spokesperson for GiveWell in select media interviews, events, and other public forums, communicating our perspective clearly, accurately, and with sound judgment. Work with grantees and other partners on press releases and other media-facing communications involving GiveWell or our shared work. Manage and develop one or two team members initially, and build the relationships, systems, and additional capacity the function will need over time. About You You are skilled at using communications to help people understand complex ideas, build trust, and take action. You are comfortable being accountable for outcomes, making consequential decisions with limited oversight, and knowing which decisions genuinely require escalation. You are energized by intellectually demanding work, and the challenges of creating engaging communications within a careful and precise style. You can engage deeply with GiveWell’s research, and you are comfortable understanding and communicating about data in detail. You have a long track record of getting up to speed quickly on complex subject matter and carefully communicating to a very high standard. You can build a compelling narrative that is entirely factual, representing what is known and unknown without overstating or hedging into vagueness—and you find the idea of working with GiveWell’s exacting communications standards exciting rather than limiting. Your background includes significant experience leading communications in complex, high-stakes environments. This should include 10+ years of experience in media relations, thought leadership, and public engagement. You have deep experience owning that work end to end, not just contributing to it. You’ve remained a hands-on leader who enjoys the work itself, as well as the strategy and systems behind it. You know how journalists, influential voices, events, and other public forums shape how organizations and ideas are understood. You have a demonstrated ability to build meaningful external relationships, identify opportunities worth pursuing, personally represent an organization’s perspective, and navigate public-facing situations in which context is limited, timelines are short, and judgment matters. Much of this should be work you executed yourself, in addition to work you directed. Experience in settings where precision and credibility were at least as important as reach is a strong signal of fit. In addition to demonstrated expertise in the duties listed above, you should have: Exceptional communications judgment, including the ability to understand audience, context, risk, timing, and the underlying substance of a message. Excellent written and verbal communication skills and the ability to quickly make complex ideas clear and compelling without sacrificing rigor or nuance. A track record of building and leading: you have created or substantially rebuilt a team or function—not only run ones you inherited—and you have hired, developed, and managed people. Recent, hands-on excellence at your craft: you can point to work from the past few years that you personally produced or substantially shaped. Experience producing communications that are direct and factual while being engaging and effective with their target audiences—work that succeeds through substance and clarity rather than embellishment. Intellectual curiosity and the ability to engage deeply with GiveWell’s research and ideas, even without prior experience in our giving areas. Experience advising executives or other senior decision-makers directly. Strong alignment with GiveWell’s mission and values, including truth-seeking, transparency, and a commitment to communicating accurately and thoughtfully. We also think these qualities will help you do well in the role and at GiveWell: People who can develop a strong point of view and hold it with confidence, but remain genuinely open to challenge, new information, and better ideas. Self-starters who take ownership, are comfortable creating structure in an evolving environment, and can make thoughtful decisions without always having complete information. People who are proactive and anticipatory, who identify opportunities, risks, bottlenecks, and communications needs before they become obvious. Collaborative leaders who raise the quality of the work around them and build strong relationships across teams. People who coordinate well with peers, resolve dependencies and disagreements, and make shared work clearer rather than more complicated. Key Questions & Information What are some of the reasons I might not like this role? You want to step into a mature function with established systems, rather than build one while you run it. You do best with clear direction and established priorities. We’ll expect you to set most of your own, make most decisions yourself, and reach substantial autonomy within your first six months. You prefer advising on communications to producing and being accountable for them. You want sole ownership of an organization’s overarching communications strategy and brand. At GiveWell, the CEO and executive team owns that direction; you would help shape it and lead your function within it. You want to lead a large team from day one. This team is small today, and much of the most difficult work will be yours to do directly. You find standards of precision and understatement limiting and frustrating. We work extremely hard to only communicate accurately what we know and what we don’t. Can I apply to more than one of the Senior Communications Officer roles? You can, but most people shouldn’t. We’re looking for deep expertise in these areas, and we expect most candidates with required expertise will be a clear fit for a single role. If you’re one of the few with real depth in more than one area, apply to both and tell us why. Otherwise, apply for the role you are most qualified for, and we’ll let you know if we think another role might suit you better. What does this interview process entail? We’ll use a combination of interviews, written exercises, and work trials to assess the qualities described above. We’ll share more specific details if we invite you to move forward to any of the following stages, but our current plan will likely include the following: Application Interview with a member of the Talent Acquisition Team Compensated work trial with a set maximum number of hours Interview with GiveWell's Chief of Staff to the CEO Values interview CEO interview and References Note that you don’t need to submit a cover letter. We rely heavily on your resume and answers to the application questions below when we’re making early decisions. We encourage you to spend time responding to the application questions thoroughly and carefully. Details Team: You’ll report to our Head of Communications, and collaborate closely with the two other Senior Communications Officers. You will lead a small team that you’ll develop over time. Compensation: This role is set at the Senior Communications Officer level. For an exceptional candidate, we may consider hiring at the Communications Director level—with greater expectations, responsibilities, and compensation. NYC or the San Francisco Bay Area: $250,000 All other U.S. locations: $225,000 Location: GiveWell’s staff work primarily remotely within the U.S. and abroad. This position is eligible to work fully remotely. Offices: You are welcome but not required to work from our offices in Oakland, California; Brooklyn, NYC; or London, UK. Please note that office space is limited, and is not guaranteed. International work: For this role, we are able to employ candidates based in the United States, United Kingdom, or Canada. A successful candidate will need to commit to a work schedule that has some overlap with American working hours and the schedules of key coworkers. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Visa Sponsorship: We are not currently able to sponsor visas for this role. Benefits: A few highlights of our benefits offerings: Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year plus an annual summer break 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Start date: We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 430,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell’s Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell’s Work Trial Policy .

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an experienced Corporate Development leader to drive our strategic transactions in life sciences and biotech. Frontier AI is beginning to change how drugs are discovered, developed, and brought to patients, and Anthropic wants to help build that future responsibly. In this role, you will source and execute acquisitions, investments, and strategic partnerships with AI-native life sciences companies, partnering directly with Anthropic's leadership, research, and product teams to shape our strategy in the sector, grounded in Anthropic's strategic priorities. The ideal candidate combines deep life sciences domain knowledge with technical fluency in AI and a record of closing complex transactions. You understand how R&D, clinical, and regulatory workflows actually run, you can tell a durable AI-native business from a thin wrapper, and you can assess a target's science, data, and compliance posture as rigorously as its financials. You care about AI safety and Anthropic's mission to build AI systems that are helpful, harmless, and honest, and you recognize the stakes of applying AI where patient safety and scientific integrity are on the line. Join us in shaping how AI accelerates science and medicine while keeping it safe and beneficial for humanity. This role sits at the intersection of frontier AI research and life sciences, with direct impact on Anthropic's growth in one of its most consequential sectors. Key responsibilities Define and execute Anthropic's corporate development strategy in life sciences, covering acquihires, tuck-in acquisitions, minority investments, and strategic partnerships Build and maintain a target pipeline across AI-native companies in drug discovery, clinical development, regulatory and medical writing, lab automation, and healthcare data infrastructure Lead end-to-end transaction processes, from sourcing through diligence, negotiation, signing, and integration Partner with research, product, engineering, and go-to-market teams to assess the technical, scientific, and commercial value of opportunities Run sector-specific diligence, including scientific and data validation, regulatory posture (FDA, EMA, GxP, 21 CFR Part 11), data privacy (HIPAA, GDPR), quality systems, and IP Assess build/partner/buy tradeoffs and competitive dynamics against incumbents, AI-native entrants, and other frontier AI labs Structure and negotiate complex deals, including earnouts, milestone-based consideration, and licensing arrangements, working closely with legal, finance, and policy teams Build financial models and valuation analyses suited to life sciences businesses, including services-heavy and usage-based revenue models Drive post-transaction integration, with particular attention to retaining scientific and technical talent and maintaining regulated customer commitments Build relationships with founders, life sciences and healthcare VCs, pharma and biotech corporate development teams, and academic research institutions Present strategic recommendations to executive leadership and the board Support Anthropic's partnerships with pharmaceutical companies, CROs, and research organizations Minimum qualifications Have led complex M&A, investment, or partnership transactions from sourcing through close Understand the drug development lifecycle, from discovery through clinical trials, regulatory submission, and commercialization Have strong technical fluency in AI and software, gained as an engineer, product manager, scientist, or technology investor Bring strong analytical and financial modeling skills Can engage credibly with scientists, engineers, executives, and regulators Are comfortable in fast-paced, ambiguous environments with competing priorities Write and speak clearly, and can influence at all levels Have a deep interest in AI safety and Anthropic's mission Preferred qualifications Have 8-12 years of experience across corporate development, investment banking, or investing, with at least 5 years focused on life sciences, biotech, or healthcare technology Hold an advanced degree in the life sciences (PhD, MD, PharmD) or an MBA Have worked at a pharmaceutical company, biotech, CRO, or life sciences software company Have experience with AI/ML applied to biology, chemistry, or clinical operations Bring an established network among life sciences founders, healthcare VCs, and pharma business development leaders Have diligenced or integrated businesses operating under GxP, HIPAA, or similar regulatory regimes Have led post-merger integration or built a new business unit Have experience with cross-border transactions, particularly in the US, EU, and UK life sciences markets The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $325,000 — $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization builds and operates the compute that trains and serves our frontier models. Behind every cluster is a physical supply chain: servers, accelerators, networking equipment, spares, and tooling that have to be received, inspected, secured, tracked, and delivered to the right site at the right time. The Warehousing and Logistics team owns that flow, and this role builds the key capabilities and partnerships to scale these services with velocity. As Warehouse and Logistics Capability Manager, you'll report to our Global Warehousing and Logistics Lead and own the design, and roll-out of key capabilities (selection of in-house or off-the-shelf tooling, process, and data integrity), implementation  and integration with strategic partnerships to achieve global scale. This is a strategic role on a small team, so you'll move between building the tooling, processes, controls, and metrics that let us scale as our hardware footprint grows. You should be comfortable making decisions with incomplete information, communicating clearly with engineers and vendors alike, and holding a high bar for supply chain and logistics capabilities. Key responsibilities Define the key requirements for new capabilities in collaboration with partner teams Own the program management, selection and implementation of tools pertaining to warehouse, inventory, transport management etc., and their integration with internal and external tools Enable expansion to new geographies with the right tools, processes, SOPs and data in conjunction with the operational warehouse managers Conduct RFP where needed and drive tool selection and/or build in line with business requirements Ensure third party vendor tools are fully integrated with Anthropic’s architecture and meet compliance, and regulatory requirements Conduct full testing and effective adoption of new processes and tools, effectively managing risks and timely implementation Develop/enhance reports on operational metrics such as receiving cycle time, inventory accuracy, on-time delivery, and freight cost, and use them to drive continuous improvement Minimum qualifications Experience managing warehouse or logistics operations for physical goods, including receiving, inventory control, and outbound shipping Hands-on experience using and designing warehouse management and inventory management system, and comfort working in spreadsheets to analyze inventory and shipment data Experience managing third-party logistics providers or carriers, including negotiating service levels and holding vendors accountable to them Working knowledge of domestic freight (LTL, FTL, and parcel) and the documentation that goes with it Familiarity with safety and regulatory requirements for shipping and storing IT or electronic equipment, such as hazardous materials rules for lithium batteries Strong written and verbal communication skills, with the ability to coordinate across technical and non-technical teams and external partners Demonstrated ability to build processes from scratch and keep operations running reliably as volume and complexity increase Ability to travel to warehouse and data center sites in the US as needed Preferred qualifications Experience handling data center or enterprise IT hardware, including servers, GPUs or other accelerators, and networking equipment Experience with international freight forwarding, customs brokerage, and export control requirements such as EAR Experience with secure chain-of-custody programs, asset tagging, and data-bearing device sanitization or destruction Experience directly managing warehouse staff or contract labor Familiarity with ERP or procurement systems and how inventory data flows between them and warehouse systems Experience with Agile development and frontier AI tools Experience supporting rapid infrastructure buildouts, whether in cloud, telecom, or another hardware-intensive industry The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Integrity & Compliance (I&C) function is building the systems that let us scale responsibly as our products reach more people, more enterprises, and more regulated industries. Our global compliance program is bespoke, reflecting our unique mission and position as one of the leading AI labs operating on the frontier. Our Regulatory Programs pillar is a key pillar of our overall Integrity & Compliance function and covers a range of compliance domain areas including economic sanctions, US export controls, and regulatory compliance programs stemming from global content and AI regulation. As Sanctions Compliance Lead, you will take day-to-day leadership of Anthropic's sanctions compliance program and support oversight of our export controls program, supporting the Regulatory Programs lead as a senior leader within the function. This is a leadership seat in a domain where the rules governing AI models and compute are still being written, and where sanctions exposure runs through globally accessible APIs, downstream and embedded-partner channels, and rapid geographic expansion. You will own the sanctions program end to end: setting strategy and risk appetite with leadership, continuously assessing risk and driving remediation and program enhancements, governing our screening and enforcement controls, directing regulator-facing matters, and reporting on program health to I&C leadership and the Audit Committee. You will partner closely with our in-house Trade Compliance Counsel on interpretation of applicable law, represent the function with senior stakeholders, and lead and develop trade compliance professionals as the team grows. This is a builder's role at a company that takes integrity seriously and moves fast. You will exercise independent judgment on issues without clear precedent and build durable programs that let Anthropic move quickly while honoring its obligations to regulators, customers, and the public. Key responsibilities Lead Anthropic's sanctions compliance program, including strategy, risk appetite, policy frameworks, and the program roadmap, and keep them current as regulations and the business evolve Represent the sanctions and export controls function with senior leadership and cross-functional partners, and step in for the Regulatory Programs lead across the function as needed Continuously assess sanctions risk across products, channels, and markets, and own the remediation of identified issues and the delivery of program enhancements, in partnership with Legal, Internal Audit, Finance, and first-line teams Direct regulator-facing matters, including voluntary self-disclosures, blocking and reject reports, licensing questions, and responses to regulator or third-party inquiries, in partnership with Trade Compliance Counsel and National Security Legal Govern Anthropic's restricted-party screening and enforcement controls, including list configuration, thresholds, escalation criteria, vendor management, and exception review, in partnership with Regulatory Operations and Safeguards Serve as the senior escalation point for complex sanctions matters surfaced by Safeguards, Threat Intelligence, Go-to-Market, and Finance, and set the standards by which first-line teams disposition and escalate cases Advise business and product teams on sanctions and trade controls implications of commercial and geographic expansion, new products and channels, partnerships, and acquisitions, and translate findings into clear control requirements Support oversight of the export controls program, partnering with the Sanctions & Export Controls Compliance Officer and Trade Compliance Counsel on program priorities, controls, and reporting Prepare and deliver program reporting on health, key risks, and emerging issues for I&C and Legal leadership, the Audit Committee, and other governance forums Monitor sanctions regulatory developments and enforcement actions, assess impact on Anthropic, and drive required program changes Lead, mentor, and develop compliance team members, and help shape the structure of the function as it grows Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Anthropic's discretion, or otherwise applicable with local law Minimum qualifications Substantive, hands-on experience leading an economic sanctions compliance program (OFAC, EU, UK, and other applicable regimes) in a commercial environment, including program design, policy ownership, and risk governance Experience managing voluntary self-disclosures, blocking or reject reports, and other regulator filings end to end, including coordinating counsel, internal stakeholders, and remediation Experience assessing sanctions risk on an ongoing basis and owning the remediation of identified issues and delivery of program enhancements through to closure Experience governing a restricted-party screening program, including list scope, match thresholds, escalation criteria, and screening vendor management A track record of reporting on program health and risk to senior leadership, an audit committee, or a board, and of driving decisions on risk appetite with executives Working knowledge of US export controls (EAR and BIS rules) sufficient to oversee an export controls program and partner effectively with technical subject-matter experts Experience partnering with in-house and outside counsel to interpret trade controls requirements and translating them into practical guidance for product, engineering, operations, and commercial teams Excellent written and verbal communication skills, including drafting policy and preparing materials for senior leadership Preferred qualifications 10+ years of relevant experience in economic sanctions compliance, including several years leading a program or team Experience managing and developing compliance professionals Experience conducting sanctions diligence for acquisitions, vendors, and third parties, including state-ownership and 50 percent rule analysis Experience partnering with trust and safety, enforcement, or threat intelligence teams on account actions and sanctions escalations Exposure to sanctions compliance in software, cloud, fintech, or AI contexts, including globally accessible platforms and downstream access risk Prior experience in a Big 4 or other compliance consulting or advisory professional services firm, or at OFAC or another trade regulator Experience in a hyper-scaling tech company or other fast-paced environment Sound judgment and the ability to make risk-based decisions and move work forward with imperfect information A leadership style characterized by integrity, humility, strategic thinking, and solution-orientation Role-specific policy: For this role, we expect staff to be able to work from either our Washington, DC, San Francisco, or New York City office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Safeguards ML Infra team designs, builds, and operates the production infrastructure that powers Claude's safety systems. We own the critical backend services that ensure safety on the token generation path, and we own the operational work of getting those systems safely into production: standing up safeguards for every new model launch, and deploying new safety classifiers as they ship. Every frontier model release runs through this team – we configure, verify, and roll out safeguards across every platform Claude runs on (1P, AWS Bedrock, GCP Vertex, etc.), and we lead incident response when issues arise. This role sits at the center of that operational work. You'll ensure safeguards are properly configured and deployed for model launches and own the off-cycle deployment of new safety classifiers — canarying changes, verifying that the right safeguards are provably live on the right models, and holding rollback authority when something looks wrong. Every launch should also shrink the checklist, and the manual verifications should evolve into a system that runs itself. You'll turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline. We're looking for engineers with deep experience in production change management at scale — people who have owned deploy pipelines, config management systems, rollout safety, or launch readiness for systems under real production pressure. Familiarity with ML research or transformer architectures is not required — you will learn that on the job. What we prioritize is production judgment: a track record of shipping changes to critical systems safely, and of automating yourself out of the work you did last quarter. What you'll do: Launch captain model releases: stand up, configure, and verify safeguards for every new model, and serve as the safeguards point of contact in the launch room during release windows. Own the off-cycle deployment of new safety classifiers as they ship from research — canarying rollouts, running post-deploy validations, and investigating discrepancies when something looks wrong. Verify that the right safeguards are provably live on the right models across every deployment platform (1P, AWS Bedrock, GCP Vertex, etc.), and detect and eliminate configuration drift between them. Automate yourself out of last quarter's work: turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline. Plan to use Claude aggressively to do this! And be a trailblazer that paves the path for safe agentic operations of safety-critical systems. Build and maintain a safeguards registry with full provenance — what is running in production, on which model, on which platform, and when and by whom it was deployed. Participate in on-call and operational-duty rotations covering service incidents, model provisioning, and time-sensitive research and safety launches. You may be a good fit if you: Have owned production change management at scale — deploy pipelines, config management systems, canary analysis — and have strong opinions about what "verified" means. Have run high-stakes releases: served as a launch captain, incident commander, or release owner for systems where a bad deploy has real consequences, and are energized rather than drained by being in the critical path. Have meaningful on-call experience for production systems, including incident response and postmortem-driven improvements — and a track record of turning (and fixing!) postmortem action items into process and tooling changes. Have a desire to close the gap where nobody has yet raised their hand, even if it requires manually hand-holding processes until automation and tooling can be built. Have hands-on experience deploying and operating on cloud platforms (AWS, GCP) at scale. Are proficient in Python; experience with Rust is a plus but not required. Strong candidates may also have: 8+ years of industry software engineering or site reliability engineering experience. A demonstrated history of reducing operational toil through automation, including transitioning teams from manual deployment processes to self-serve pipelines. Experience running launch or production-readiness review processes across multiple teams. Familiarity with LLM inference systems and the operational characteristics of transformer-based models. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Senior Manager, Infrastructure Lease Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for Anthropic's infrastructure lease portfolio — the leased assets underpinning our recently announced $50bn investment in American computing infrastructure. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing lease portfolio is accounted for and understood across the business. You will own end-to-end accounting for Anthropic's infrastructure lease portfolio, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 842, and help build the processes, controls, and systems that let this function scale. Responsibilities Lead end-to-end accounting for one of Anthropic's AI infrastructure lease portfolio, including monthly close, reconciliations, roll-forwards, and flux analysis Apply technical accounting expertise to complex infrastructure arrangements under ASC 842 (lease classification, measurement, modifications, embedded leases, and reassessments) Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems Design and scale systems, processes, and controls to support a rapidly growing lease portfolio Collaborate with and mentor accounting professionals across the Infrastructure Accounting team Serve as a key point of contact with external auditors on lease accounting matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting Minimum qualifications Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred Possess strong technical accounting knowledge of ASC 842, particularly as applied to infrastructure, data center, or compute-related arrangements Have experience managing a significant lease portfolio in a high-growth environment Demonstrate strong analytical abilities and comfort working with large, complex datasets Have a track record of improving scalable financial processes in fast-moving environments Have experience mentoring and developing accounting professionals Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred qualifications Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure lease structures (including colocation, dark fiber IRUs, and compute / equipment leases) Experience with lease accounting software at scale SQL proficiency for querying and analyzing large infrastructure and accounting datasets Background in Big 4 accounting or advisory services combined with industry experience Experience with complex data center buildouts or hybrid cloud / on-premise environments Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: Remote We are looking for a Senior Solutions Engineer, Federal/Public Sector to join our Solutions Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with civilian, defense, and intelligence community agencies, guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them, often inside classified or air-gapped networks. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept inside a disconnected or classified environment and stepping back to translate a technical win into a business case a federal decision-maker will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the agency back into how Coder builds and sells. WHAT YOU’LL DO - Own the technical relationship with agency prospects through pre-sales, and efficiently manage towards a technical win - Lead or support post-sales relationships and renewals when needed - Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives, including in classified and air-gapped settings - Install Coder on cloud (including GovCloud) and on-prem Kubernetes or VM infrastructure, up to and including air-gapped and disconnected networks - Run proofs-of-concept that prove Coder’s value, including for agentic and LLM-powered development workflows, and accelerate deals - Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their impact on mission delivery - Serve as the agency’s voice, routing insights to Engineering and Product - Log feature requests and issues in our public/private Git repositories - Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation, including within classified networks - Contribute pull requests to Coder’s documentation WHAT WE’RE LOOKING FOR - Active TS/SCI clearance with Polygraph required at time of hire; U.S. citizenship required - Physically based in the DC / Maryland / Virginia (DMV) area, with ability to travel to customer sites as required - Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling, ideally into federal, defense, or intelligence community customers - Experience with AI tooling at both the user level and infrastructure level, including coding agents and assistants (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM), and the ability to speak credibly to how agencies evaluate and adopt them, including in classified environments - Strong customer-facing skills that win trust with technical stakeholders and program offices - Ability to translate technical hurdles into mission value in real time - Understand agentic AI software development use cases and advocate passionately where appropriate - Comfortable leading architecture demos and deep-dive troubleshooting sessions in secure, restricted-access environments - Deep Linux fundamentals and comfort at the command line - 3+ years hands-on with Docker and Kubernetes - Experience with AWS GovCloud, Azure Government, or on-prem/air-gapped Kubernetes deployments - 3+ years with Terraform or comparable infrastructure-as-code tooling - Solid grasp of networking: ingress controllers, proxies, load balancers, and operating within DoD/IC network boundaries - Startup-speed execution, ownership mindset, and a player-coach attitude WHAT SUCCESS LOOKS LIKE - You can walk into an ambiguous agency conversation, diagnose the real technical, security, and mission blockers, and design a proof-of-concept that proves value fast, even inside a classified network. - You translate deep technical fluency, including on agentic and LLM-based development workflows, into a business case that resonates with program managers, security officers, and mission owners alike. - Agencies leave your demos and PoCs with a clear, credible picture of how Coder fits their environment, their developers, and their AI agents, without compromising their security posture. - You are as invested in winning the account the right way as you are in closing the current deal; you spot risks early, whether technical, security, or procedural, and loop in the right people. - Your field experience feeds back into product and marketing, sharpening how Coder demos and sells into the public sector. BONUS TACOS - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Success at both high-growth startups and larger software vendors - Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Codex, or similar autonomous/semi-autonomous dev tools) - Prior military, intelligence community, or federal civilian service background - Experience with FedRAMP, DoD IL4/IL5, or ATO processes - Background in CI/CD, DevOps, or developer-platform products - Experience in platform engineering or developer platform teams - Kubernetes, AWS, or related certifications ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The world's engineers want to get the most out of Claude. At Anthropic, technical instruction already happens everywhere: our Applied AI and Forward Deployed Engineering teams teach customers and partners, and engineers across the company help others learn to build with Claude. Today that instruction is a shared responsibility, delivered alongside people's primary roles. As demand grows, we need to turn that distributed expertise into a dedicated technical instruction function. You will build that function. You will be the first person at Anthropic whose full-time job is technical instruction. You'll spend your first year primarily in the classroom teaching engineers, architects, and other technical practitioners. You'll also build the people, standards, and systems that let Anthropic's technical instruction scale far beyond the people we directly employ. This is a player-coach role. From day one you manage a small bench of instructors. You set the bar for what "ready to teach" means, decide who is cleared to teach a given module in Anthropic's technical programs, and assess facilitators from our training partners against that bar. You're an engineer who teaches and a teacher who has led other teachers. You can build an agent live in front of a skeptical engineer, diagnose what isn't working in a technical lab, and make the material better. You can also watch an experienced instructor teach, tell them their session isn't ready yet, and coach them to get there. You will report to the Head of Technical Enablement. The role is based in San Francisco with some travel expected. Key responsibilities Lead from the front. Teach hands-on sessions to new Applied AI engineers, our field teams, and partner cohorts, in rooms from 12-person labs to 100-person training days. Build the instructor bench. Hire and develop instructors and curriculum developers. Decide contract renewals, and recommend conversions to full-time, against criteria you define. Set the quality bar. Own the observation rubric, dry-run protocol, and cleared-to-teach process for every instructor-led technical session. Scale through train-the-trainer. Set the bar the Lead Technical Instructor's train-the-trainer program teaches to, for internal experts, contract instructors, and partner facilitators. Turn expertise into instruction. Turn internal experts' content into sessions and labs that work in a live room. Enable programs without owning them. Staff other teams' programs with cleared instructors, and own the quality of instruction inside them. Measure and improve. Report learner pass rates per instructor each month, and act on them. Minimum qualifications 8+ years of relevant professional experience across software engineering, solutions engineering, developer advocacy, technical education, or related technical roles. 4+ years of hands-on technical instruction. You have taught engineers live and hands-on, across audience sizes. Production engineering. You have written and shipped production software and engage credibly with experienced engineers on architecture and debugging. Recent hands-on AI development. In your last three years of work, you have built or debugged applications with LLM APIs, agent frameworks, tool use, MCP, or similar. People leadership. You have managed instructors, trainers, developer advocates, or solutions engineers, including hiring and performance management, and kept teaching. Instructor development. You have designed or run a train-the-trainer program, instructor certification, or observation framework. San Francisco location. You are based in San Francisco or willing to relocate with our relocation support, can be in the office every day a program runs, 3 days in a normal week, and can travel 25 to 30 percent. Preferred qualifications A portfolio of sessions you taught and a rubric or certification you designed, shared only if you have the right. Experience building an instruction or developer-education function from scratch. Experience managing a contractor instructor bench, or clearing instructors across regions from recordings or trained observers. Daily use of Claude Code or a comparable agentic coding tool, or building on Claude through Amazon Bedrock, Google Vertex AI, or Microsoft Foundry. Deep enthusiasm for AI and real care about building it responsibly. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s engineers are building some of the most ambitious AI systems and applications in the world. We also help engineers, architects, and technical practitioners across Anthropic, our partners, and our customers learn to build with Claude. Until now, technical instruction has largely been a shared responsibility. We are building a dedicated technical instruction function to make that learning exceptional and ensure that everyone who teaches in Anthropic’s technical programs meets a consistent, high bar. We are looking for a Technical Instructor Lead in New York to help bring that standard to life. About half of your time will be spent delivering ILT hands-on technical instruction in New York and remotely across European time zones. The other half will be spent developing other instructors, running train-the-trainer programs, and improving the quality and consistency of technical instruction across programs. You are an engineer who teaches and a teacher who makes other teachers better. You can build an agent live in front of a skeptical staff engineer, diagnose a broken lab while a room of learners waits, and adapt when a lesson is not landing. You can also watch another instructor teach for ten minutes and identify the one change that will materially improve their next session. This is not primarily an instructional design or classroom facilitation role. You should be comfortable writing code, debugging technical systems, and teaching practitioners who may know more than you do about their particular domain. You will report to the Head of Technical Training. Key responsibilities Deliver hands-on technical instruction across Anthropic’s onboarding, residency, and technical enablement programs, in person in New York and remotely across European time zones. Model excellent technical teaching for audiences ranging from small, interactive labs to 100+ technical practitioners, adapting to different levels of experience and technical depth. Run train-the-trainer programs for internal experts, contract instructors, and training partners, using Anthropic’s practice-teach, feedback, and certification processes. Coach and calibrate instructors through live and recorded observations, actionable feedback, and recommendations on readiness to teach specific content. Partner with technical experts to turn subject matter expertise into effective sessions, labs, exercises, and demonstrations, and improve content based on what happens in the room. Own instructional quality in assigned programs, staffing yourself and cleared instructors into East Coast program calendars and ensuring delivery meets Anthropic’s standards. Use learner and instructor data to identify gaps in instruction and recommend improvements to curriculum, delivery, and instructor development. Help evolve Anthropic’s technical instruction function, bringing your experience from the room into our standards, instructor development practices, and approach to scaling quality. Minimum qualifications 6+ years of relevant professional experience across software engineering, solutions engineering, developer advocacy, technical education, or another technically deep role. 3+ years of hands-on technical instruction, including teaching engineers in live environments both in person and remotely. You know how to make difficult technical concepts click and how to adapt when they do not. Production engineering experience. You have written and shipped production software and can engage credibly with experienced engineers on architecture, implementation, debugging, and technical tradeoffs. Recent hands-on AI development. Within the past three years, you have built or debugged applications using LLM APIs, agents, tool use, MCP, or related technologies. You are comfortable with rapidly changing AI development tools and unfamiliar technical problems. Instructor development experience. You have helped other instructors or technical presenters improve through observation, structured feedback, practice teaching, or train-the-trainer programs. New York City location or willingness to relocate. You will work from our NYC office whenever an instructor-led program is in session there, typically around three days per week. The role includes approximately 25% travel to San Francisco and, over time, Europe. Preferred qualifications Experience designing or operating a train-the-trainer, instructor certification, or observer-calibration program. A portfolio of sessions, labs, or courses you have designed and taught, plus material you created so others could teach it. Experience teaching across time zones or to European audiences, including coaching instructors from recorded sessions. Experience using Claude Code or a comparable agentic coding tool as a significant part of your engineering workflow. Experience building with the Claude Developer Platform through Amazon Bedrock, Google Vertex AI, Microsoft Foundry, or comparable infrastructure. Experience with public speaking, conference workshops, or developer advocacy. Deep enthusiasm for AI and a genuine commitment to building and deploying it responsibly. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI Research Engineer, you will discover what Anthropic's models and products can do, prove it with real customers, and equip the rest of Applied AI to sell and deliver it. You'll embed with product teams to build deep expertise on new capabilities as they develop, and serve as a critical feedback loop carrying field reality back to Product and Research so that what we build next reflects what customers actually need. In collaboration with Sales, Product, and Research teams, you'll sit at the intersection of what we build and how customers adopt it. You'll own the technical<> GTM handshake for model and product launches: testing new models to understand their strengths and limitations, building demos and evals, and helping field teams get ready. When strategic customers hit novel challenges, you'll go hands-on to solve them. And throughout, you'll synthesize what you're learning across customers and products into insights that shape our roadmap, working closely with Product, Engineering, and Research teams to stay calibrated on what's working, what's not, and what matters most. This role is equal parts researcher, field expert, and connective tissue between our customers and the teams that build our products. You'll need the technical depth to push the boundaries of what our models can do, strong communication skills to make complex capabilities clear to diverse audiences, and the instinct to turn what you learn in the field into signal that makes our products better. Responsibilities: Embed with product teams to build deep technical expertise on new products and capabilities as they develop, becoming the field's go-to expert in your domain Own the technical<> GTM handshake for model and product launches-- early testing, field readiness assessments, and ongoing capability education throughout the model lifecycle Build demos, evals, and prototypes that showcase customer-relevant model and product capabilities, and define what good performance looks like in important domains Develop enablement materials like playbooks, training sessions, and reference architectures in partnership with Technical Enablement, so Applied AI teams can effectively position and deliver new capabilities from day one Engage hands-on with strategic customers facing novel technical challenges in your domain, discover solutions, then package learnings into scalable approaches for the broader field Synthesize insights from across customer engagements and work with Product and Research to land them. Identify adoption patterns, common blockers, and capability gaps that should inform our research and product roadmaps Partner with Sales and Applied AI teams to support high-value accounts that need specialized domain knowledge Travel occasionally to customer sites for workshops, implementation support, and research collaboration You may be a good fit if you have: 6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or similar technical role -- ideally with some exposure to customers or end users A track record of going deep on technical problems and then translating what you learned into materials, training, or tools that helped others succeed Strong technical aptitude with strong proficiency in at least one programming language Meaningful experience building with large language models -- whether shipping LLM-powered products, developing agents or workflows, or integrating models into production systems Experience designing evals, building prototypes, or developing technical enablement for complex products The ability to quickly build domain expertise in new product areas and become a credible technical voice on new topics Curiosity about what AI models can actually do -- you enjoy probing the edges of new capabilities and figuring out what use cases just unlocked Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, including exec-level The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions A collaborative, service-oriented mindset – go-to-market at Anthropic is a team sport Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Director, Technical Revenue Accounting to join our Accounting Team. In this role, you will own the company’s most complex ASC 606 technical positions, lead the revenue accounting memo portfolio, and serve as the senior accounting decision-maker for new product revenue recognition treatments, non-standard deal structures, and partnership / marketplace go-to-market initiatives. You will partner directly with Deal Desk, Product, Legal, and Partnership leadership and set the technical revenue policy direction for the company! If you are looking for an opportunity to make a significant impact on the financial infrastructure of an innovative company, come join us in our mission to build cutting-edge, safe AI. Key responsibilities Own the company’s ASC 606 technical accounting memo portfolio — authoring and reviewing position papers on the most complex and judgment-intensive revenue recognition scenarios, including the SSP study Lead the technical revenue assessment for all new product offerings (NPI) and programs, serving as the accounting decision-maker on performance obligation identification, SSP evaluation, and contract modification frameworks, and providing authoritative guidance to Product, Pricing, and GTM cross-functional teams Serve as the senior Revenue Accounting partner to Deal Desk, Sales, and Legal — structuring non-standard deal terms, and providing real-time revenue recognition guidance on the company’s largest and most strategic commercial arrangements Provide technical accounting guidance on partnership and marketplace arrangements for cloud third-party channels, including principal-vs-agent determinations, and revenue-share / co-sell economics Own key accounting processes such as SSP analysis and related allocations, contractual credit amortization, reseller/partner channel incentives and rebates, footnote disclosures etc. Own the revenue contract review framework, including ASC 606 checklists, position papers, and escalation paths, ensuring revenue recognition compliance scales with deal volume Lead technical research initiatives on emerging revenue recognition issues and present recommendations to the Controller Translate complex technical accounting requirements into actionable business guidance for non-accounting stakeholders Review revenue-related month end close journal entries and flux analysis Drive process improvement and revenue system implementation projects, including scoping, design sign-off, and UAT ownership Minimum qualifications Have a track record of authoring technical accounting memos on complex, judgment-intensive revenue arrangements Have strong knowledge of ASC 606 with experience in performance obligation analysis, standalone selling prices, contract modification accounting, considerations payable to a customer, principal versus agent analysis, material rights, and variable consideration treatment Ability to articulate complex accounting positions clearly, and proactively conduct technical accounting research to identify emerging revenue recognition challenges Have hands-on experience with revenue recognition tools (e.g., Workday Financial Management, Zuora RevPro) Have SQL proficiency for querying and analyzing large revenue and contract datasets Have proven ability to lead cross-functional workstreams across Deal Desk, Product, and Partnership teams and drive results Have a demonstrated ability to thrive in fast-paced, ambiguous environments Preferred qualifications Have 14+ years of progressive accounting experience, with extensive expertise in ASC 606 implementation and complex revenue recognition scenarios, including 4+ years in a technical revenue leadership or managerial role A Bachelor's degree in Accounting or Finance; CPA required with demonstrated technical accounting expertise Big 4 technical accounting / national office background combined with industry experience Experience with technical accounting advisory work, including revenue recognition consulting or implementation experience Experience with cloud marketplace, reseller, or channel partnership revenue arrangements Experience working with consumption-based and subscription-based revenue models Knowledge of AI/ML, SaaS and technology sector revenue recognition complexities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Milan, Italy; Biassono, Italy Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. As a Staff Product Engineer at Docebo, you won't just ship features—you will define product direction and solve high-impact, ambiguous technical challenges across our entire ecosystem. Operating at the dynamic intersection of product strategy, full-stack architecture, and AI-accelerated execution, you will design scalable, long-lived systems that power the future of work-based learning. In this pivotal role, you will elevate both our modern tech ecosystem and the engineers around you, turning complex technical possibilities into seamless experiences for millions of learners worldwide. Our Tech-Stack We build modern, scalable, and resilient products. Our ecosystem is diverse, and we believe in leveraging the best tools for the job. Here is a snapshot of our technology stack: - Core Backend: We power our services using PHP, Node.js (TypeScript), and Golang. We are also embracing Serverless architecture, leveraging it specifically for our newest modules and features to ensure maximum scalability and speed of innovation. - Frontend Ecosystem: Angular is our main framework for web applications, though some of our cross-functional teams build components using React. - Mobile Development: We deliver high-quality cross-platform mobile experiences powered entirely by React Native. - Cloud & DevOps: Our entire infrastructure is fully cloud-native and hosted on AWS.     THE DAY-TO-DAY 🛠️ - Architect the Future: Define long-term architectural standards and design resilient systems, leveraging stack. - Lead High-Impact Initiatives: Spearhead complex, end-to-end, cross-functional product initiatives from problem framing straight through to measurable business outcomes. - Shape Product Strategy: Partner closely with Product and Design leaders to influence roadmaps, test assumptions, and ensure technical leverage is built into strategic decisions. - Create AI-Powered Leverage: Institutionalize AI-assisted development practices, standards, and guardrails to help our teams safely ship faster with dramatically higher output. - Elevate Engineering Excellence: Raise the bar across CI/CD, observability, testing, and operational reliability while eliminating systemic bottlenecks across teams. - Connect with Customers & Impact: Engage directly with internal stakeholders and customers to deeply understand pain points, using product analytics tools to design experiments and measure results. - Mentor and Multiply: Coach engineers across disciplines on architecture, product thinking, and AI tools, driving alignment and leading through technical credibility.   YOUR SUPERPOWERS ⚡ - Experience: 10+ years of full-stack software development experience with a proven track record of designing, building, and shipping complex products end-to-end and solving complex production issues. - Language & Tech Agility: Experience working with multi-language backends and frameworks and a readiness to tackle scalability, ADRs, and performance tasks in PHP services without requiring prior PHP proficiency. - AI-Assisted Power: Mastery of AI-assisted development tools (Claude Code, Cursor, Codex, or similar) with a habit of leveraging them daily to supercharge software output. - Analytics & Experimentation Drive: Advanced fluency with product analytics platforms (PostHog, Amplitude, Mixpanel) and comfortable driving experimentation through feature flags and A/B testing. - DevOps & Cloud Proficiency: Advanced experience with CI/CD pipelines, cloud environments (AWS), containerization (Kubernetes), and modern observability practices. - Ambiguity Navigation: Exceptional ability to break down complex, undefined problems into crisp, executable technical plans with clear tradeoffs. - Leadership & Collaboration: Outstanding track record of mentoring engineering talent, communicating directly with customers and stakeholders, and influencing cross-functional teams without direct authority. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.   OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.   OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized. - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future. Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we’re just getting started. Much of this is being built 0→1 right now: you’ll shape both the product and the architecture in a category no one has defined yet. You'll be a technical leader who thinks holistically about the end-to-end researcher experience, partners directly with our internal research team to push model capabilities into production, and carries real ownership over what we ship next. Our north star is accelerating scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. This work supports programs like Anthropic’s AI for Science Program and our rare disease research grants . What you'll do Ship fast against a roadmap you help shape: this is a product in a category no one has defined yet, and the highest-leverage problems are still unclaimed Interface directly with working scientists — academic labs, industry R&D teams, and research institutes — during key conversations, translating what you learn into engineering priorities Partner with product and design to turn how scientists actually work — from hypothesis to analysis to publication — into shipped product Work closely with research to make the models better at science: shaping evals, surfacing failure modes, and feeding what users hit in the real world back into model development You may be a good fit if you Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on Have built AI products and know what it takes to turn model capabilities into applications people actually use Are comfortable working directly with technical domain experts and translating what you learn Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have Background in chemistry, biology, physics, or another science Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive for Digital Native Business based in Seoul, you'll drive the adoption of safe, frontier AI technology across Korea's fastest-moving technology companies. This is a greenfield, new business role: you'll build your territory from the ground up, owning the full sales cycle from first outbound touch to close across Korea's internet platforms, gaming, e-commerce, SaaS, fintech, and media companies. You'll work directly with founders, technical leaders, and product teams to help them build with Anthropic's AI as a core part of their products and operations. Key responsibilities Own and exceed revenue targets by winning net-new logos across Korea's digital native companies, including internet platforms, gaming, e-commerce, SaaS, fintech, and media Build a greenfield territory from scratch: develop your own account list, generate pipeline through self-sourced outbound prospecting, and create repeatable plays for landing new accounts Run fast, consultative sales cycles with founders, CTOs, CPOs, VPs of Engineering, and Heads of AI, positioning Claude as the foundation for AI-powered products and competitive differentiation Land new accounts quickly and set them up for expansion, working closely with technical buyers and developer teams who evaluate hands-on Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to win technical evaluations and accelerate time to production for customers building on our models Preferred qualifications 8+ years of sales experience in Korea with a clear track record as a hunter: consistently winning net-new logos and generating the majority of your own pipeline through outbound prospecting Experience selling to digital native, internet, or high-growth technology companies, and comfort engaging technical buyers such as engineering and product leaders, not just business stakeholders A track record of opening greenfield territories or segments with little existing brand presence, building pipeline and closing revenue from zero Proven experience exceeding revenue targets driven primarily by new business, with the ability to manage high-velocity cycles alongside larger strategic deals Strong commercial instincts for usage-based and consumption models, and the ability to connect product adoption to revenue growth A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player who thrives in ambiguous, startup-like environments A strategic, analytical approach to territory and account prioritization combined with high-energy, persistent execution A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit Excellent communication skills in both Korean and English Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end-to-end — from statement of work (SOW) through production deployment. As a Manager of Technical Deployment for Financial Services, you own engagement portfolio health across your vertical. You set the bar for delivery quality and build the playbooks and evaluation frameworks that let the practice scale. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the Fortune 100. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in sales conversations in front of executive sponsors, and you will lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. Responsibilities Hire, develop, and retain a team of TDLs embedded in Financial Services engagements. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interviews that hold it. Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room. Own portfolio health across the vertical. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team. Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic's credibility with senior business, risk, and engineering leaders. Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes. Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from delivery plan through production. Set the bar for delivery excellence — SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story. Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale. Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on Financial Services–specific go-to-market materials, reference cases, and positioning. Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and report into the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes. Bring the field back to Anthropic. Surface delivery lessons and emerging Financial Services use cases to Product and Research, and represent the vertical in leadership discussions. Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments. Travel to customer sites (25–50% expected). You May Be a Good Fit If You Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher who has moved into deployments, with at least 3 years directly managing people who owned delivery outcomes. Have a track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed teams working at client sites. Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Bring depth in Financial Services. You have delivered technology programs inside banks, insurers, or asset managers, you understand how model risk, security, and compliance review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering. Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. You are accountable for the technical direction your team sets alongside FDEs. Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement. Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage. Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team. Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.