Вакансии

Location: San Francisco; London; Austin; Berlin; Seattle; New York City; Toronto Workplace: Hybrid ABOUT THE ROLE The Infrastructure team builds and operates the foundational systems behind Perplexity’s products. At Perplexity, infrastructure sits on the critical path of every answer, supporting real-time search, retrieval, model serving, and agent workloads where latency, reliability, and rapid iteration directly shape the user experience. This role is for strong infrastructure engineers whose experience spans multiple domains and who are energized by cross-cutting problems that do not fit neatly within a single platform team. You do not need to be a specialist in every area. Scope ranges from owning major production systems to setting technical direction across teams, leading complex infrastructure programs, and shaping infrastructure strategy across the organization. If a specialized Cloud Infrastructure, Storage Platform, Backend Platform, Data Platform, Connector Platform, or AI Acceleration role clearly matches your expertise and interests, apply directly to it. If your experience spans several infrastructure domains or you are most energized by cross-cutting systems problems, apply here. Submit one application, and we will consider you across the Infrastructure organization. KEY RESPONSIBILITIES - Own cross-cutting infrastructure problems that span compute, storage, networking, data, deployment, and reliability, including eliminating bottlenecks across retrieval and serving paths, building shared abstractions across deployment environments, and resolving failure modes that cross platform boundaries. - Design, build, and operate distributed infrastructure supporting Perplexity’s consumer, AI, and enterprise workloads, owning systems from architecture through production operation. - Identify gaps between existing platforms and build shared abstractions, automation, and tooling that make infrastructure easier and safer to use. - Improve system performance, availability, scalability, and cost-efficiency across online request traffic and background workloads. - Debug complex production issues across service and infrastructure boundaries, then turn the findings into durable architectural improvements. - Set technical direction for complex infrastructure systems, lead high-impact programs across teams, and establish durable technical standards through collaboration with infrastructure, product, AI, and security partners. QUALIFICATIONS - 4+ years of professional software engineering experience building and operating production backend, platform, or distributed systems. - A track record of owning complex production systems end to end and delivering sustained technical impact across teams. - Demonstrated ability to set technical direction, lead through influence, and raise the engineering bar through architecture, design reviews, and mentorship. - Strong software engineering skills in Python or other systems or backend languages such as Go, Rust, C++, or Java. - Meaningful experience across at least two infrastructure domains, such as cloud platforms, distributed systems, Kubernetes, storage, databases, networking, data systems, developer infrastructure, or production reliability. - Ability to develop depth quickly in unfamiliar systems, reason across software and infrastructure layers, and drive production incidents from diagnosis through durable resolution. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is looking for a Customer Experience (CX) Manager to lead a high-performing support team serving lawyers and professional services teams. Our customers hold their own work to a high standard of accuracy and timeliness, and expect the same from our support. How well your region runs is one of the biggest levers Harvey has on what customers actually experience when they need help. Reporting to the Head of CX, you'll drive operational excellence and accountability across Harvey's global support organization. You'll balance strategic oversight with hands-on execution. This is a role for a leader who thrives in motion: proactive, decisive, and deeply motivated by achieving results through your team. You'll inherit a metric set and processes that need to be better, and we expect you to diagnose what's broken and fix it without being asked. You'll also be one of five CX Managers across the globe, and that peer group is where our operating standard gets set. You're expected to trade what's working across regions and push for the changes you think we should make everywhere, shaping the culture and cadence of a growing support organization. WHAT YOU'LL DO - Run day-to-day support delivery for your region: queue and coverage, triage and handoff, and escalation judgment, measured by First Response Time, Resolution Time, QA, and cSAT. When a number moves, you find the root cause and fix it or scale it. - Set individual performance expectations and stay close enough to the work to spot drift early. Coach against QA results in the moment, and move to a documented plan only when coaching hasn't landed. - Own escalations end to end: triage and severity judgment, customer communication through to resolution, and bug reports Engineering can act on without a follow-up thread. Partner with Product, Engineering, and Go-to-Market to turn recurring escalations into fixes. - Take part in the on-call rotation for customer-impacting incidents, owning the coordination of response and customer communication strategy while an incident is live. - Drive adoption of the AI tools and systems we provide across triage, drafting, deflection, and QA, and pressure-test what CX Ops ships against real queue conditions. - Track how your region performs against the other four, bring what's working to your peers, adopt what's working in theirs, and propose the practices you think should apply globally. - Forecast coverage and staffing against volume, and flag gaps before they have impact. - Hire, onboard, and develop team members to ensure readiness for future growth and evolving support needs. WHAT YOU HAVE - 8+ years in customer support or customer experience, including 4+ years managing teams in a high-volume environment serving enterprise customers. - Comfortable operating at Harvey's pace, not a typical enterprise pace. This is consistently the hardest bar for otherwise-strong support managers to clear. - A deep focus on the customer, and real satisfaction in solving the problems that make their work harder than it needs to be. - You are genuinely invested in developing your team, and you know a high bar is part of that. - You manage close to the work. You know what your team's tickets actually look like, not just what the dashboard says. - A change you made to how a support team works that produced a step change, not an incremental gain. You saw the leverage point others in the seat missed. - Ownership of a metric set (FRT, TTR, cSAT, QA, backlog, deflection): what drives each one, what to change when one slips, and the ability to build your own reporting. We use Zendesk, Salesforce, Omni, and Snowflake. - You understand enterprise escalations, from severity judgment through the customer conversation, and can work one yourself: reproduce the issue, read error logs, and troubleshoot API, authentication, and AI output quality issues well enough to brief Engineering accurately. - You can take a process improvement from idea to shipped yourself, and you know which ones to handover to someone on your team instead. - Day-to-day proficiency using AI tools in a production support workflow, not experimentation, and a concrete point of view on how AI is changing what a support team should look like. - Admin-level fluency with Zendesk or an equivalent platform: views, triggers, macros, and routing logic. - Availability to participate in an on-call rotation outside scheduled working hours, including nights, weekends, and holidays, in accordance with the company’s on-call policy. COMPENSATION $144,000 - $216,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-CG1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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 WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW The Content Marketing Manager will develop content that advances Harvey's brand and business goals across editorial, campaigns, and social. This person will turn company priorities, customer insights, and market opportunities into high-quality content, then work across teams to distribute it effectively and measure its impact. This is a role for a strong writer and editor who is equally comfortable shaping strategy and producing the work itself, and who can translate complex legal, technical, and product ideas into clear, compelling stories. WHAT YOU'LL DO - Contribute to Harvey's editorial strategy and help execute the content roadmap set by the Head of Content and Social Strategy. - Write and edit content across formats, including website articles, guides, reports, thought leadership, social series, video scripts, and campaign copy. - Turn complex legal, technical, and product ideas into clear, compelling stories for Harvey's audiences. - Develop content-led campaigns in partnership with product marketing, demand generation, communications, social, and other teams. - Create distribution strategies that extend the reach and value of each major content asset. - Write planned social copy and captions connected to editorial content, campaigns, launches, and brand initiatives. - Partner with the SEO lead to apply search insights to content planning, development, and optimization. - Use audience and performance data to understand what is working and improve future content. - Maintain a consistent, distinctive Harvey voice across channels and formats. - Partner with Content Operations and Publishing to move work efficiently through production, review, and publication. WHAT YOU HAVE - 5+ years of experience in content marketing, editorial, or a closely related discipline, ideally in B2B technology, SaaS, or professional services. - Exceptional writing and editing skills, with a portfolio that demonstrates range across long-form editorial, thought leadership, campaign copy, and social. - A proven ability to translate complex or technical subject matter into clear, engaging narratives for sophisticated audiences. - Experience contributing to an editorial strategy and delivering against a content roadmap, taking ownership of high-quality output end to end. - Strong cross-functional collaboration skills, with a track record of partnering with product marketing, demand generation, communications, and social teams. - Familiarity with SEO fundamentals and comfort using search insights to shape content. - Fluency with content performance metrics and the judgment to turn data into better editorial decisions. - A sharp eye for brand voice and the discipline to maintain it consistently across channels and formats. COMPENSATION $164,000 - $225,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LR1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want We are seeking exceptional Software Engineering Interns for our 10-week summer program in New York City. As a core member of our engineering team, you'll build and launch features that directly impact real people — helping our members find top doctors and manage medical claims with ease. You'll work alongside a passionate, multidisciplinary team of engineers, designers, and product managers, taking ownership of meaningful problems in a fast-paced, agile environment. This is hands-on experience building the systems that power our mission: transforming the healthcare economy to deliver high-quality, affordable care for all. Select interns will be offered full-time roles upon successful completion of the program. What you will do Use AI to build, optimize, and maintain software systems Collaborate across disciplines to understand our domain and iterate on projects Participate in code reviews, sharing your insights and learning from others Engage in problem solving sessions with senior engineers and team leads where your unique perspective will be valued Deliver a capstone project presentation to engineering leaders and business stakeholders, demonstrating your work and impact What we're looking for Currently pursuing a Bachelor's or Master's in Computer Science or related STEM field (expected graduation Fall 2027–Spring 2028) Solid CS fundamentals with exposure to front-end (JavaScript, React) or back-end (Python, Node.js) technologies; familiarity with databases or cloud platforms (AWS, Docker) is a plus Exposure to or interest in building with AI coding agents (we use Claude Code) is a plus Strong problem-solver who enjoys breaking down challenges and finding elegant solutions Self-starter who takes ownership of their work and is motivated by real-world impact Clear communicator who can discuss technical ideas with both technical and non-technical audiences, and takes feedback well Excited by fast-paced environments and eager to stretch their skills A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation The weekly pay rate for this role is $2,400. In addition to base compensation, this role is eligible for a housing stipend. Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As an Associate Software Engineer, you’ll be embedded in our Engineering organization. Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in doing great work and stay curious about new techniques and technologies. What you will do Use AI to build, optimize, and maintain software systems Collaborate across disciplines to understand our users and iterate on new ideas Protect our users’ privacy and security through secure coding practices Participate in code reviews, sharing your insights and learning from others What we're looking for Recent graduate (Spring 2026) or currently enrolled student (expected graduation of Fall 2026 or Spring 2027), with a Bachelor's or Master's in Computer Science or a related STEM field Solid CS fundamentals with experience in front-end (JavaScript, React) or back-end (Python, Node.js) technologies Experience with a database system such as PostgreSQL or ElasticSearch; familiarity with cloud platforms (AWS, Docker) is a plus Exposure to building with AI coding agents (we use Claude Code) is a plus A track record of shipping high-quality features through internships or personal projects Strong technical writing, analytical, and communication skills Excited to join a high-performing, mission-driven team that values urgency, accountability, and honest feedback A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation The base pay for this role is $165,000. Individual compensation will depend on qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive plan and benefits package, including: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health, and more. Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We're looking for a Senior Manager, Product Design to lead the Admin & Enterprise Platform Admin is how firm leaders and innovation teams set up and run Harvey inside their organizations: workflow configuration, permissions and governance, and visibility into how the product is being used. These are the people who decide whether Harvey stays at an account, and Admin is where they see what they're getting from it. Enterprise Platform owns the context and knowledge layer every Harvey product builds from: document management integrations, Vault, connectors, and the research hub. A general model can reason about law, but it can't reach a firm's precedent or matter files that a lawyer would actually cite. It also can't be trusted with them by default, so this team owns how that context is secured and permissioned. What the rest of the product can do is empowered by what this context layer can reach, and design decides whether a lawyer can tell what Harvey found and what it missed. You'll report to the VP Design as a foundational member of the Design leadership team, with portfolio-wide impact on how our product, team, and culture scale. You'll set the operating bar for how we work, and lay foundations for the product that hold for years. WHAT YOU'LL DO Own Admin and Enterprise as a product - Drive strategy and execution for the Admin & Enterprise platforms in close partnership with Product and Engineering, rooted in how champions actually run Harvey inside their firms. - Work directly with customers, research, and usage data to find where champions lose time or lose confidence, and design the workflow configuration, knowledge management, and visibility experiences that fix it. - Tie your roadmap to customer outcomes: faster rollout, wider adoption, and evidence of ROI our champions can take to their own leadership. Build and lead the team - Build, grow, and develop a team of high-craft ICs across systems, product, and prototyping from a small starting footprint. - Own org design, resourcing, and prioritization across four surfaces with very different rhythms, including the conference deadlines that don't move. - Give strategic, systems-level feedback on end-to-end flows, not just screens. Lead across the org - Partner with design, product, and engineering leaders to evolve how Harvey builds, and represent Platform in high-stakes conversations with executives and customers. - Establish how we make design decisions in high-trust, high-stakes environments where clarity and accuracy are non-negotiable. - Be a foundational member of the Design leadership team and help set the operating model the rest of the org runs on. WHAT YOU HAVE - 8-10+ years in Product Design, with 5+ years directly managing product designers. - Experience designing and shipping AI-powered or highly technical products. - A strong portfolio showing leadership of complex products from concept through launch, with clear impact on users and the business. - Ideal experience in building B2B enterprise products. - Fluency with AI tooling in your own practice, and a real opinion about how it changes design work. - Proven experience leading design strategy and execution alongside Product and Engineering. - Demonstrated ability to define and ship high-quality experiences in complex, ambiguous problem spaces. - Excellent judgment about when to go deep, when to delegate, and when to push. - Exceptional communication skills and the ability to influence senior stakeholders, internally and in front of customers. - Deep commitment to growing people and raising the craft bar across a team. - Comfort operating in fast-moving environments with evolving priorities. - Empathy for users, teammates, and the realities of high-stakes professional work. - A growth mindset, resilience, and a bias toward learning through doing. - Strong people leadership instincts with a bias toward clarity, empathy, and accountability. COMPENSATION $235,500 - $325,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-JC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We're looking for a Senior Manager, Product Design to lead the Admin & Enterprise Platform Admin is how firm leaders and innovation teams set up and run Harvey inside their organizations: workflow configuration, permissions and governance, and visibility into how the product is being used. These are the people who decide whether Harvey stays at an account, and Admin is where they see what they're getting from it. Enterprise Platform owns the context and knowledge layer every Harvey product builds from: document management integrations, Vault, connectors, and the research hub. A general model can reason about law, but it can't reach a firm's precedent or matter files that a lawyer would actually cite. It also can't be trusted with them by default, so this team owns how that context is secured and permissioned. What the rest of the product can do is empowered by what this context layer can reach, and design decides whether a lawyer can tell what Harvey found and what it missed. You'll report to the VP Design as a foundational member of the Design leadership team, with portfolio-wide impact on how our product, team, and culture scale. You'll set the operating bar for how we work, and lay foundations for the product that hold for years. WHAT YOU'LL DO Own Admin and Enterprise as a product - Drive strategy and execution for the Admin & Enterprise platforms in close partnership with Product and Engineering, rooted in how champions actually run Harvey inside their firms. - Work directly with customers, research, and usage data to find where champions lose time or lose confidence, and design the workflow configuration, knowledge management, and visibility experiences that fix it. - Tie your roadmap to customer outcomes: faster rollout, wider adoption, and evidence of ROI our champions can take to their own leadership. Build and lead the team - Build, grow, and develop a team of high-craft ICs across systems, product, and prototyping from a small starting footprint. - Own org design, resourcing, and prioritization across four surfaces with very different rhythms, including the conference deadlines that don't move. - Give strategic, systems-level feedback on end-to-end flows, not just screens. Lead across the org - Partner with design, product, and engineering leaders to evolve how Harvey builds, and represent Platform in high-stakes conversations with executives and customers. - Establish how we make design decisions in high-trust, high-stakes environments where clarity and accuracy are non-negotiable. - Be a foundational member of the Design leadership team and help set the operating model the rest of the org runs on. WHAT YOU HAVE - 8-10+ years in Product Design, with 5+ years directly managing product designers. - Experience designing and shipping AI-powered or highly technical products. - A strong portfolio showing leadership of complex products from concept through launch, with clear impact on users and the business. - Ideal experience in building B2B enterprise products. - Fluency with AI tooling in your own practice, and a real opinion about how it changes design work. - Proven experience leading design strategy and execution alongside Product and Engineering. - Demonstrated ability to define and ship high-quality experiences in complex, ambiguous problem spaces. - Excellent judgment about when to go deep, when to delegate, and when to push. - Exceptional communication skills and the ability to influence senior stakeholders, internally and in front of customers. - Deep commitment to growing people and raising the craft bar across a team. - Comfort operating in fast-moving environments with evolving priorities. - Empathy for users, teammates, and the realities of high-stakes professional work. - A growth mindset, resilience, and a bias toward learning through doing. - Strong people leadership instincts with a bias toward clarity, empathy, and accountability. COMPENSATION $235,500 - $325,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-JC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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: United States; Remote Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ROLE OVERVIEW We’re looking for a Staff Frontend Engineer to lead the design and development of major frontend systems and product initiatives at ClickUp. You’ll work across teams to solve complex technical challenges, improve engineering velocity, and help shape the direction of our frontend architecture. This role is for someone who thrives in fast-paced environments, drives clarity in ambiguity, and can influence both technical decisions and execution across the organization. WHAT YOU’LL DO - Lead development of complex product features and frontend systems in Angular and React. - Partner with backend, integrations, product, design, and QA to deliver high-quality user experiences at speed - Architect scalable, reusable frontend patterns that improve product quality and developer velocity - Identify and address performance bottlenecks, UI architecture issues, and scalability risks - Drive engineering best practices across testing, observability, code quality, and maintainability - Help teams make strong technical decisions under tight timelines and evolving priorities - Own delivery across large initiatives, balancing immediate product needs with long-term technical health - Mentor engineers and elevate frontend craftsmanship across the team - Contribute to improving how frontend engineers work together across domains   QUALIFICATIONS - 7+ years of frontend engineering experience, with deep expertise in Angular and React - Strong command of TypeScript, RxJS, NgRx, and modern frontend architecture patterns - Experience building reusable component systems and scalable frontend application structures - Deep knowledge of performance optimization, debugging, and building for large-scale web applications - Strong product sense and ability to work cross-functionally in a fast-moving company - Demonstrated success leading major technical initiatives and influencing across teams - Strong mentorship skills and a track record of leveling up other engineers - Excellent communication and execution skills, especially in high-urgency environments - Strong experience with unit, integration and end 2 end testing using jest, vilest, playwright or related frameworks and ability to come up with testing strategies. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

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: Tampa, FL Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - Florida WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation & Benefits: - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. - Annual salary: $350,000 OTE USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Atlanta, GA Workplace: Hybrid ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - Atlanta WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation & Benefits: - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. - Annual salary: $350,000 OTE USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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: Paris; Amsterdam; Linz; Munich; London; Berlin ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Mistral is looking for AI Scientists with deep expertise in engineering sciences and machine learning to push the frontier of AI-accelerated simulation. Within AI4Engineering Science, you will research and train foundational physics models which are substantially more capable than what exists today and can be fine-tuned for downstream applications by both customers and internal teams. You will work across the full research stack: curating high-fidelity simulation datasets, designing and training novel model architectures, and rigorously evaluating them against real engineering validation standards. Working closely with the broader research organization, you'll ensure the foundation models you build are general enough to become the backbone of many downstream products, not just a single point solution. This role builds on a strong, world-class foundation, and the goal is to take it further. You'll work one vertical at a time toward foundation models that genuinely transfer and fine-tune across engineering tasks, with high-quality simulation data pipelines, physics-based evaluation, and uncertainty / out-of-distribution estimation as first-class concerns. There's no inherited playbook for most of what's left to do: you'll help define the architectures, training strategies, and validation standards the team builds on, not just extend an existing one. WHAT YOU WILL DO - Research and train novel foundation models for physics simulation, pushing past today's state of the art in accuracy, generalization, and scale - Design and run large-scale simulation campaigns using domain-specific solvers to build the high-fidelity datasets foundational physics models need - Investigate architectures and training strategies (e.g. multi-fidelity training, pretraining objectives, scaling behavior) that let a single foundation model transfer and fine-tune well across diverse engineering tasks - Rigorously evaluate model coverage, accuracy, and robustness against industry validation standards, and diagnose failure modes arising from data gaps or architecture limitations - Stay on top of the latest developments in the scientific community and contribute to Mistral's standing at the frontier of AI-for-engineering research WHAT WE'RE LOOKING FOR - PhD or Master's in CS/AI or an engineering science: Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, EDA, Semiconductor Engineering, or a related field - Strong, hands-on machine learning expertise with a deep understanding of model architectures, training dynamics, and evaluation methodology is core to this role - You have developed ML methods for simulation or surrogate modelling - You write clean, readable Python code and are comfortable in Linux/HPC environments - Fluent English with excellent communication skills, able to explain technical simulation and ML concepts to both engineering and non-technical audiences - Self-directed, you don't need detailed roadmaps to make progress - Low-ego, collaborative, and eager to learn at the intersection of simulation and ML - Demonstrated success through industrial projects, academic work, or personal projects IT WOULD BE GREAT IF YOU - Have industrial or academic experience with simulation solvers (e.g. OpenFOAM, LS-DYNA, ANSYS, COMSOL, Abaqus, Fluent, STAR-CCM+, PowerFlow, NekRS, Tau/CODA, JAX-Fluids, or equivalent; Cadence/Synopsys/Siemens EDA or equivalent) - Have experience automating large-scale simulation campaigns on HPC clusters - Have contributed to a large open-source or industry codebase - Have publications in engineering or ML venues (AIAA, ASME, JFM, NeurIPS, ICLR, etc.) WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; Palo Alto; Amsterdam; Linz; Munich; London; Berlin Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM You will join the AI4Engineering Science team, the Mistral research group that builds the data and evaluation infrastructure and owns the SFT/RL processes for AI4Engineering that teach our frontier LLMs to do real engineering work. The agentic engineering group works alongside the Physics AI research in the wider Science organisation. This seat sits in the agentic CAD stream. Together with the Solutions and Applied teams, the group carries this work into customer projects with industrial partners in automotive, aerospace, semiconductors, and beyond. THE ROLE Mistral is looking for an AI Scientist with deep machine learning expertise and hands-on CAD experience to expand what our agentic tools can do for computer-aided design. Your focus is a single mission: teaching Mistral's LLMs to generate, analyze, and modify CAD designs the way an expert design engineer would. Your core work is building the pre- and post-training data for Mistral's LLMs to reason about and execute real CAD tasks: text-to-CAD and image-to-CAD generation from technical drawings, geometric analysis and QA of CAD parts, and modification of existing designs. Because Mistral trains its own frontier LLMs, the data and verifiers you design ship directly into models you can hold - a rare position, and the core of the job. Alongside this, you will help shape the agent architectures and harnesses that let these models operate reliably inside multi-step CAD workflows, driving CAD tools through APIs or computer use across the whole design loop. This is early-stage work, and that's the point: you are joining at the foundation, shaping the data, verifiers, and agent scaffolding that decide whether these systems become reliable or stay demo-grade. There is no inherited playbook; you will help define what good looks like, and your work will set the direction the CAD stream builds on rather than extend an existing one. WHAT YOU WILL DO - Design pretraining, SFT, and RL data for CAD tasks: text-to-CAD and image-to-CAD generation from technical drawings, geometric analysis and QA of CAD parts, and design modification - Define verifiers and evaluation criteria that capture what "correct" and "high-quality" actually mean for CAD tasks - Scale the data pipelines that produce agentic CAD training traces - Design and improve agent architectures and harnesses: how models plan, call CAD tools via API or computer use, recover from errors, and chain steps together across long-horizon design workflows - Build and maintain CAD evaluation benchmarks and diagnostic tooling, from parametric CAD and drawing-to-3D benchmarks to industrial evaluations, identifying where models fail and tracing those failures back to gaps in data, reward design, or agent scaffolding - Collaborate with CAD domain experts and the CAE and EDA streams (and the science and solutions teams more broadly) to identify which CAD workflows are highest-value to target next - Contribute to Mistral's broader pre- and post-training research, sharing findings and methodology across the science organization WHAT WE'RE LOOKING FOR - Deep, hands-on machine learning expertise, particularly LLM development: you have built LLM training pipelines (SFT, RL, fine-tuning, GRPO), demonstrated in publications or shipped systems rather than CV claims - Demonstrated hands-on CAD experience: you have designed, scripted, or automated real CAD workflows in tools such as SolidWorks, CATIA, Siemens NX, FreeCAD, or CADQuery, ideally with CAD-kernel grounding (OpenCASCADE, build123d) - Fluent English with excellent communication skills: you can explain technical ML and CAD concepts to both engineering and non-technical audiences - You write clean, readable Python code and are comfortable in Linux/HPC environments - Self-directed: you do not need detailed roadmaps to make progress - Low-ego, collaborative, and eager to learn at the intersection of CAD and ML It would be great if you: - Have experience building or fine-tuning agentic systems (tool use, multi-step planning, agent orchestration frameworks) - Have experience with reward modeling, RLHF/RLAIF/RLVR, or preference-based training - Have first-author publications or open-source benchmark work in agentic CAD or CAD-ML, such as CAD generation benchmarks or RL/GRPO fine-tuning of vision-language models for CAD - Have contributed to a large open-source or industry codebase - Have publications in engineering and ML venues (NeurIPS, ICLR, ICCV, SIGGRAPH, JFM, AIAA, etc.) WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

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.