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Location: Dubai, United Arab Emirates M1 CONSTRUCTION L.L.C is seeking a qualified Structural Engineer to join our engineering team. The successful candidate will be responsible for assisting in the design, analysis, and supervision of structural elements in construction projects to ensure safety, reliability, and compliance with industry standards. Key Responsibilities: Assist in structural design calculations and prepare design drawings for various projects. Review and interpret engineering documents, plans, and specifications. Collaborate closely with architects, contractors, and project managers to ensure integrated project execution. Conduct site visits to monitor construction activities and ensure compliance with design specifications. Support preparation of technical reports and project documentation. Assist in resolving any technical issues related to structural engineering during construction. Requirements Bachelor’s Degree in Civil or Structural Engineering. Minimum 3 years of experience in structural engineering roles, preferably within the UAE construction industry. Knowledge of local building codes, regulations, and standards. Proficiency in structural analysis and design software such as STAAD Pro, ETABS, or equivalent. Strong skills in AutoCAD and other drafting tools. Good communication and teamwork abilities. Benefits - Visa provided - Health Insurance provided - Competitive salary

Location: New York, United States; San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity The Global Legal team provides legal advice and guidance to OKX and its affiliated entities across all coverage areas and geographic locations, and supports business growth by working with all teams within the company to help them achieve their goals. Our team has attorneys around the world, and handles legal matters in literally hundreds of countries . The Global Litigation, Regulatory Enforcement and Investigations team handles OKX’s disputes, enforcement matters and government engagement worldwide at the intersection of litigation, regulation and emerging technology. What You’ll Be Doing Third-party legal process: Review and respond to subpoenas, Section 1782 applications, garnishments, and court orders including TROs, preliminary injunctions and receivership orders served on OKX. Negotiate scope with issuing parties and directly interface with opposing counsel, object or move to quash where appropriate, and manage productions or other required actions through to closure. Address competing or conflicting orders from multiple jurisdictions, coordinating with OKX’s international legal process team and global litigation team. Government and law enforcement requests: Respond to US law enforcement and government process escalated by the legal response operations team, including grand jury subpoenas, court orders, and asset freeze and seizure requests. Litigation and demands: Assess and respond to litigation demands and threatened claims, handling matters directly where appropriate and escalating as needed. Assist with matters that progress from legal process into litigation, working with senior team members and external counsel. Cross-functional partnership: Work with Compliance, Risk, Operations and data teams to gather facts and deliver accurate, timely responses; advise stakeholders on disclosure and privacy risk. Process and reporting: Develop templates, playbooks and standard responses; embed AI to drive efficiency; identify trends and recommend process improvements. What We Look For In You JD and admission in good standing in at least one US state. Candidate may be based in New York or the San Francisco Bay Area Minimum 4 years of litigation experience at a leading law firm, financial institution, fintech or government agency. Working knowledge of federal and state civil procedure, including subpoena and motion practice. Sound judgment and the ability to manage a high volume of time-sensitive matters. Excellent written and spoken communication skills. Ability to work in a fast-paced, evolving environment across global time zones. Enthusiasm about building an in-house career in a fast-growing, regulated industry. Nice to Haves Experience in traditional finance, fintech, payments, crypto or digital assets. Experience with legal process or law enforcement response at a financial institution or technology company. Familiarity with the Stored Communications Act, Bank Secrecy Act or financial privacy laws. Experience with emergency relief, asset freezes, receiverships or judgment enforcement. Prior in-house experience or secondment. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $143,111 to $214,666. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is building the connected AI workspace where teams and agents think together, bringing knowledge, projects, meetings, and AI tools into one place. Joining Corporate Accounting means helping build the financial foundation for a business shaping how work gets done in the AI era. In this role you’ll be a key player on the Corporate Accounting team, working across global accounting areas with a focus on close activities, related reconciliations, and international statutory reporting. You’ll collaborate with teammates to strengthen the accounting processes that support Notion’s growth into new countries. At Notion, you’ll help build the repeatable operating practices that let a growing global business scale with confidence. This role is based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Be a key team player across monthly, quarterly, and annual close: Prepare accurate journal entries and adjustments with clear supporting documentation; support AP and cash reconciliations, including flux analysis and commentary; and complete close work on time. - Help establish reliable, repeatable global accounting processes as Notion expands into new countries. - By your 90th day, contribute meaningfully to close activities and take ownership of clearly defined global reconciliation work. - By your 90th day, organize and track open items, requests, and timelines across international statutory audits, coordinating with Tax and cross-functional partners. - By your 90th day, use Claude thoughtfully to improve reconciliation analysis, audit support, documentation, or quality checks—while applying appropriate data safeguards. - By the end of your first year, become a trusted partner, strengthen controls and accounting processes across your areas, supporting accurate financial statements and statutory filings. - By the end of your first year, raise the bar on documentation and process quality so recurring work is easier to execute, review, and build on. SKILLS YOU'LL NEED TO BRING: - Working knowledge of core corporate accounting processes, including close activities, AP, and cash reconciliations; this is central to the role’s day-to-day work. - Foundational knowledge of U.S. GAAP and accrual accounting, with some familiarity with IFRS. - Experience in public accounting or audit, or in corporate accounting; candidates early in their careers, including new graduates with relevant experience, are welcome. - Ability to organize and track work across multiple international statutory audits with accuracy, clear follow-through, and attention to deadlines. - Curiosity to learn country-specific requirements as Notion expands. - Familiarity with NetSuite, Oracle, or a similar ERP is a plus; experience with BlackLine, tax, or close management is also helpful. - Demonstrated ability to build cross-functional partnerships and communicate clearly with stakeholders at all levels, including explaining fluctuations and their business drivers. - Ownership, sound judgment, and a continuous-improvement mindset: you look for ways to make the work more accurate, scalable, and easier for others to build on. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $105,000 - $125,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: What if the busy work just got out of the way? Behind every great employee experience is a quiet system: the onboarding that feels effortless, the leave handled with care, the paycheck that's right the first time. It's craft most people never see, and we think it deserves the same care we put into the product. We want People Ops that feels like a great mechanical watch: you never think about it, and it's never wrong. Imagine the first day at a company where every laptop, login, and handshake worked on the first try. That's the bar. We're looking for a Head of People Operations to lead that work. You'll shape the strategy across People Operations and Total Rewards operations, making everyday work simpler, more reliable, and increasingly agent-enabled. This is a player-coach role. You'll develop the team, set direction, and stay hands-on, especially as you learn Notion. You'll combine operational craft with thoughtful automation, keeping care and human judgment at the center of every sensitive decision. This role is based in San Francisco, CA. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Be customer zero for AI-enabled operations. Prototype and scale agents on real workflows, with trusted data, the right access, and human review built in. (Yes, we run our own People Ops on Notion. Yes, it's a little meta.) - Build the experience behind the experience. Every hire, change, leave, and farewell runs through the systems you design. - Lead a team that wears many hats. You'll coach, set the roadmap, and still get your hands dirty. No boredom guaranteed. - Join at a moment of growth. Notion is scaling, and there's a real green field to build something simple and lasting. - Work across the whole company. Partner with People, Finance, Payroll, Legal, IT, and BizTech to make handoffs smooth and change stick. - Put agents to work, thoughtfully. Test and scale useful workflows with validation and human review. (Automate the busy work, never the judgment.) - Lead the team and set the roadmap. Clear ownership, clear priorities, and room for people to grow. - Build reliable lifecycle workflows. Onboarding, employee changes, leaves, and offboarding, with clear intake, service standards, and escalation paths. - Run Total Rewards operations. Own routine compensation and benefits operations, from cycle readiness and data changes to Payroll handoffs, with accuracy and good judgment on exceptions. - Measure what matters. Use service, quality, and adoption data to keep improving, with data integrity and audit readiness built in. - Make change stick. Align partners across the company and drive adoption. SKILLS YOU'LL NEED TO BRING: - You've led a People Operations team in a shared services model and built scalable processes in a growing company, while staying hands-on. - You've built People programs and operational processes from the ground up. - You know compensation administration and benefits well, with sound judgment on approvals and exceptions. - You design great systems and processes across HRIS, case management, and lifecycle workflows. (Workday and global experience are a plus.) - You've used AI and automation to improve real work, with privacy, quality, and oversight in mind. - You communicate clearly, hold strong beliefs loosely, and lead people through change with kindness and directness. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $270,000 - $310,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco Perplexity is AI for people who expect more. This role brings that same standard to how our data team works, with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer: the kind of person who knows which metric actually matters, can design an A/B test that answers the real question, has gone deep on a data model because something didn't add up, and has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done. You'll build AI agents and internal systems that can increasingly handle end-to-end analysis workflows: forming hypotheses, writing and running queries, interpreting results, and drafting recommendations with the right evaluation, review, and guardrails. You'll build the retrieval infrastructure and evaluation loops that let AI systems query the warehouse reliably. You'll create workflows that detect, diagnose, and help fix data issues before they become company-wide problems. You'll build the infrastructure that multiplies what a small data team can ship. You'll join a data team that's already using AI across its work. The next step is turning those individual workflows into scalable systems, shared tools, and an AI-native operating model that becomes a benchmark for how modern data teams work.   WHAT YOU'LL DO - Build AI agents that do data science - not just SQL copilots, but systems that can safely explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations with clear evaluation and human review loops. - Make AI systems query the warehouse reliably - build the retrieval infrastructure and evaluation loops that let agents use our semantic context and metadata accurately. - Accelerate the AI-native data workflow - turn the best existing AI-assisted workflows into repeatable systems, reusable tools, and patterns the whole data team can adopt. - Automate the data lifecycle - build self-healing pipelines, automated dbt model generation and validation, data quality agents, and diagnosis workflows that reduce manual firefighting. - Ship AI-powered experiment analysis - build agents that interpret A/B test results, flag statistical issues, identify likely drivers, and draft ship/no-ship recommendations. - Turn the data team into a product team - build internal data products that stakeholders use every day, replacing ad hoc requests with self-serve AI interfaces. - Own the full lifecycle - identify high-leverage problems, prototype with LLMs, evaluate accuracy, design the UX, ship to production, and monitor quality over time. WHAT WE'RE LOOKING FOR - 6+ years in data science, analytics engineering, data engineering, or a related role. You've been close enough to real data work to know what should and should not be automated. - Deep SQL and analytics judgment - you can reason through metrics, experiments, data models, and messy warehouse reality without relying on a tool to think for you. - Strong product sense - you understand what stakeholders actually need, what makes a workflow adoptable, and how to turn a prototype into a product people use. - Hands-on LLM experience - you've built with frontier models, agents, RAG systems, evals, or AI-powered workflows and have opinions about where they work and where they fail. - Pipeline and modeling fluency - you've worked with dbt, warehouse schemas, data quality issues, and the practical tradeoffs behind durable data systems. - Builder mentality - you see a manual process and immediately think about how to systematize it. You ship fast, measure quality, and iterate. - Autonomy - this is a new function. You'll help define the roadmap as much as execute it. BONUS - Experience building production AI agents or agent evaluation systems. - Experience with Snowflake, semantic layers, or metadata systems. - Experience building internal tools, Slack bots, CLIs, or developer productivity products that people actually used. - Strong experimentation background, including metric design and statistical interpretation. - Experience with BI tools and the judgment to know what should be automated versus kept human-reviewed. - Early-stage startup experience. WHY THIS ROLE - Set the standard for the industry - Perplexity's data team is already using AI across its work. You'll turn that into something other data teams look to as the benchmark. - Build AI with AI - Perplexity builds AI for people who expect more. You'll bring that same level of ambition to how the company works with data. - Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible. - Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data. - Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE How we build software is changing. Designers are prototyping in code, engineers are shipping polished interfaces, and agents are starting to build directly into the product. More people and more things can create software than ever before. That makes design judgment more important, not less. We're looking for a Staff/Principal Founding Design Systems Lead to build that judgment into Render's foundations. This isn't about maintaining a component library. It's about enabling designers, engineers, and agents to build experiences that look, feel, and work like Render, without a designer making every decision or the design systems team reviewing every change. At a company whose whole promise is a platform that just works, the design system is how we keep craft scaling as the product and the team grows. This role starts hands-on. You're a designer first, with the technical depth to get into the code. You'll partner with the Head of Design to set the vision, then do the foundational work yourself: decide where or whether our Figma library lives and how it operates, get deep into what an AI-ready design system really means, and prototype, test, and ship the system in code. As the function grows, you'll build and lead the team around it. You're energized by building from the ground up, not inheriting something finished. Here's what makes this role urgent and specific to us: our users are developers, and they're increasingly building with AI agents. That cuts both ways. Inside Render, teams reach for an agent before they check the docs — so a system that isn't legible to AI quietly gets bypassed, and quality drifts toward generic output. And externally, we're building the platform where developers deploy AI-native apps and agents. The person in this role treats the design system as infrastructure for humans, machines, and velocity and has a point of view on what that takes: machine-readable documentation, system rules exposed where agents can read them, an architecture that keeps the brand and accessibility layers ours, and evaluations that catch drift before it ships. This role reports to the Head of Design. THIS ROLE IS FOR YOU IF YOU'RE EXCITED BY: Making great design reproducible, by people and agents. Raise the quality of Render's product and encode what makes it good, so a designer, an engineer, or an agent can produce coherent, usable experiences by default. The system should make excellent work easier, not make every experience look the same. Reimagining what a design system can be. Build beyond components and tokens into composition rules, interaction patterns, agent-readable guidance, and evaluations, so the fastest way to build is also a path to great quality. Building and leading a team that multiplies everyone else's impact. Start hands-on, then create the direction, ambitious goals, and caring-but-demanding environment that let a team do the best work of their careers. The opportunity is to raise the floor for everyone building at Render, human or agent, while giving designers more room to make the most important experiences extraordinary. WHAT YOU'LL DO - Set the system's vision and direction. Decide what to preserve, evolve, simplify, or replace based on what builders and customers need — and turn that into focused work, much of which you'll do yourself at first. - Build the foundations hands-on. Early on, you are the team: setting the architecture, shipping the components, writing the guidance, and establishing the quality bar through your own work before there's anyone to delegate to. - Build and lead the team that owns the system. As the function grows, hire and develop it — set priorities and ownership, give direct feedback, hold a high bar, and help people do the best work of their careers. - Elevate Render's visual and interaction design. Raise the bar for typography, hierarchy, density, motion, responsive behavior, accessibility — and the states beyond the happy path, which is where developer tools earn their reputation. - Make the system legible to AI, not just humans. Lead the work to make Render's design system AI-ready: machine-readable documentation, system rules and tokens exposed where agents can reach them (e.g. via MCP), and an architecture that shrinks the context an agent needs while keeping the brand and accessibility layers ours. The goal: agents building on Render produce on-brand, compliant work by default. - Guide technical architecture with engineering. Shape everything from components and tokens to how agents discover guidance and check their work. Make sound tradeoffs between flexibility, coherence, performance, and ease of use — layered and headless where that scales better than rigid bundles. - Define and measure quality, including AI output. Build repeatable evaluations grounded in real tasks — testing generated output against the system's standard, not just whether people use the tools. - Earn adoption. Work alongside product teams, teach through examples, and turn recurring questions and exceptions into improvements. A system lives or dies on whether people, and their agents, reach for it. - Keep moving as the ground shifts. Experiment as models and tools evolve, share what you learn, and change direction when the evidence calls for it. WHAT WE'RE LOOKING FOR - A track record of setting direction and delivering outcomes in design systems or design engineering — and the appetite to build a function from the ground up before leading a team. You create clarity in ambiguity, make decisions, give difficult feedback, and keep momentum without dropping the quality bar. Experience leading or developing designers/design engineers is a strong plus, as this role grows in that area. - Exceptional visual and interaction design skills. Your work shows a clear point of view, detail that borders on obsessive, and an ability to make complex experiences feel simple — the kind of craft other practitioners admire. - Deep systems thinking, and experience building systems other teams actually adopt. You can show how your work improved both their speed and the quality of what shipped — not just that it existed. - Strong technical fluency. You can prototype and build in code, understand front-end architecture (component API design, tokens, theming, layered/headless patterns), and work through implementation tradeoffs with engineers — not just hand off specs. - Hands-on use of AI in your work, and a real point of view on AI-ready design systems. You understand where AI helps and where it fails, how to improve its output rather than accept it, and what it takes for a system to serve machines as well as humans. You don't need to have shipped all of it, but you should be able to say where you'd start and why. - Strong product judgment and developer empathy. You stay close to the people who use what you build and connect system decisions to real workflows and outcomes. Fluency with developers and technical products is a strong plus — our users are engineers, and the system has to serve them and the agents they build with. NICE-TO-HAVES - Experience building developer tools, cloud platforms, or infrastructure products where UX is a competitive advantage. - Hands-on experience making a design system AI-ready: machine-readable documentation, MCP or similar agent access, layered/headless architecture, or evaluation frameworks for AI-generated output. - Experience building developer or designer tools that became part of other teams' daily workflow. - Experience leading a major design-system migration or a company-wide change in how teams build. - Experience evolving a system across platforms, or connecting product and brand experiences. - Founder or early-stage startup experience. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! 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Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the role The Principal of Marketing Insights sits at the intersection of growth strategy, investment planning, and performance analytics. You’ll partner with the office of CMO, marketing leadership, and cross-functional analytics teams to determine where we invest, how we improve performance, and what it will take to achieve our growth targets. You’ll translate business goals and performance insights into clear priorities, resource decisions, and coordinated action across Marketing. This includes shaping pipeline strategy, evaluating investment tradeoffs, and identifying opportunities to improve conversion, velocity, and efficiency across regions, segments, and growth motions. This is a high-visibility leadership role during a period of significant organizational change. We’re looking for someone who brings structure to ambiguity, challenges assumptions with sound business judgment, and drives decisions through to measurable results. You’ll work closely with marketing leaders, Finance, GTM Operations, Technical Marketing Ops, and Central Analytics to connect strategy, investment, and execution. What you’ll do Growth strategy & planning: Translate company growth targets into marketing plans with clear priorities, investment requirements, and performance assumptions. Lead the analytical foundation for annual and quarterly planning, developing scenarios that evaluate growth opportunities, resource needs, and tradeoffs. Own marketing’s pipeline planning models and assumptions, coordinating inputs across regions, segments, channels, and motions. Identify the highest-impact opportunities to improve pipeline generation, conversion, and velocity; partner with functional leaders to turn those opportunities into action. Investment strategy & efficiency: Shape recommendations for allocating resources across programs, channels, regions, and segments based on expected business impact. Evaluate tradeoffs between headcount and program investment, partnering with Finance and marketing leaders to improve resource productivity. Identify where to scale, reduce, or reallocate spend, and measure whether those decisions improve pipeline yield and marketing efficiency. Develop models that connect marketing investment to pipeline and revenue outcomes, making assumptions and uncertainties clear. Program management & accountability: Lead weekly and monthly marketing performance reviews, focusing leadership on the decisions and actions needed to achieve targets. Proactively identify performance risks, diagnose root causes, and align leaders on corrective actions, owners, and timelines. Track actions and assess their impact, adjusting the approach when results fall short. Lead cross-functional initiatives across Marketing, XDR, Sales, Finance, and Analytics, resolving dependencies and escalating decisions when needed. Insights & measurement: Set the strategic analysis agenda around the business questions most consequential to marketing growth and efficiency. Define the metrics, scorecards, and decision tools marketing leaders need to manage performance. Partner with Analytics to deliver scalable reporting and with Marketing Ops to ensure consistent definitions, reliable tracking, and data quality. Translate complex analysis into clear executive narratives that explain what is happening, why it matters, and what action to take. Skills we’re looking for 8+ years experience in marketing strategy, GTM analytics, or business performance within B2B SaaS, with scope and impact consistent with director-level leadership. A demonstrated record of influencing investment decisions and delivering measurable improvements in pipeline, conversion, or marketing efficiency. Experience developing growth plans, pipeline models, investment scenarios, and performance assumptions. Strong business judgment and a clear point of view, with the confidence to challenge senior stakeholders constructively and build alignment around difficult tradeoffs. Proven ability to lead cross-functional initiatives and drive recommendations through to execution and results. Ability to independently structure ambiguous problems and balance speed with analytical rigor. Deep understanding of B2B SaaS metrics, including pipeline, ARR, conversion, velocity, acquisition costs, and attribution. Hands-on fluency with SQL and BI tools such as Looker, enabling independent investigation and effective partnership with Analytics. Working knowledge of Salesforce and marketing automation platforms such as Marketo. Clear executive communication, with the ability to connect detailed analysis to business decisions. Bonus Skills Experience navigating a merger, organizational integration, or significant GTM transformation. Experience with experiment design, incrementality measurement, predictive modeling, or cohort analysis. Familiarity with the modern data stack, including Fivetran, dbt, Snowflake, and Looker. Background in data infrastructure, developer tools, or analytics software. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $179,670 — $224,587 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the role The Principal of Marketing Insights sits at the intersection of growth strategy, investment planning, and performance analytics. You’ll partner with the office of CMO, marketing leadership, and cross-functional analytics teams to determine where we invest, how we improve performance, and what it will take to achieve our growth targets. You’ll translate business goals and performance insights into clear priorities, resource decisions, and coordinated action across Marketing. This includes shaping pipeline strategy, evaluating investment tradeoffs, and identifying opportunities to improve conversion, velocity, and efficiency across regions, segments, and growth motions. This is a high-visibility leadership role during a period of significant organizational change. We’re looking for someone who brings structure to ambiguity, challenges assumptions with sound business judgment, and drives decisions through to measurable results. You’ll work closely with marketing leaders, Finance, GTM Operations, Technical Marketing Ops, and Central Analytics to connect strategy, investment, and execution. What you’ll do Growth strategy & planning: Translate company growth targets into marketing plans with clear priorities, investment requirements, and performance assumptions. Lead the analytical foundation for annual and quarterly planning, developing scenarios that evaluate growth opportunities, resource needs, and tradeoffs. Own marketing’s pipeline planning models and assumptions, coordinating inputs across regions, segments, channels, and motions. Identify the highest-impact opportunities to improve pipeline generation, conversion, and velocity; partner with functional leaders to turn those opportunities into action. Investment strategy & efficiency: Shape recommendations for allocating resources across programs, channels, regions, and segments based on expected business impact. Evaluate tradeoffs between headcount and program investment, partnering with Finance and marketing leaders to improve resource productivity. Identify where to scale, reduce, or reallocate spend, and measure whether those decisions improve pipeline yield and marketing efficiency. Develop models that connect marketing investment to pipeline and revenue outcomes, making assumptions and uncertainties clear. Program management & accountability: Lead weekly and monthly marketing performance reviews, focusing leadership on the decisions and actions needed to achieve targets. Proactively identify performance risks, diagnose root causes, and align leaders on corrective actions, owners, and timelines. Track actions and assess their impact, adjusting the approach when results fall short. Lead cross-functional initiatives across Marketing, XDR, Sales, Finance, and Analytics, resolving dependencies and escalating decisions when needed. Insights & measurement: Set the strategic analysis agenda around the business questions most consequential to marketing growth and efficiency. Define the metrics, scorecards, and decision tools marketing leaders need to manage performance. Partner with Analytics to deliver scalable reporting and with Marketing Ops to ensure consistent definitions, reliable tracking, and data quality. Translate complex analysis into clear executive narratives that explain what is happening, why it matters, and what action to take. Skills we’re looking for 8+ years experience in marketing strategy, GTM analytics, or business performance within B2B SaaS, with scope and impact consistent with director-level leadership. A demonstrated record of influencing investment decisions and delivering measurable improvements in pipeline, conversion, or marketing efficiency. Experience developing growth plans, pipeline models, investment scenarios, and performance assumptions. Strong business judgment and a clear point of view, with the confidence to challenge senior stakeholders constructively and build alignment around difficult tradeoffs. Proven ability to lead cross-functional initiatives and drive recommendations through to execution and results. Ability to independently structure ambiguous problems and balance speed with analytical rigor. Deep understanding of B2B SaaS metrics, including pipeline, ARR, conversion, velocity, acquisition costs, and attribution. Hands-on fluency with SQL and BI tools such as Looker, enabling independent investigation and effective partnership with Analytics. Working knowledge of Salesforce and marketing automation platforms such as Marketo. Clear executive communication, with the ability to connect detailed analysis to business decisions. Bonus Skills Experience navigating a merger, organizational integration, or significant GTM transformation. Experience with experiment design, incrementality measurement, predictive modeling, or cohort analysis. Familiarity with the modern data stack, including Fivetran, dbt, Snowflake, and Looker. Background in data infrastructure, developer tools, or analytics software. #LI-JC1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $173,573.50 — $216,966.75 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote - US About the Job: LaunchDarkly is the runtime control plane for the AI software development lifecycle (AI-SDLC). Thousands of engineering organizations, including more than a quarter of the Fortune 500, use LaunchDarkly to ship, measure, and control every change that reaches production, whether it is written by people or by AI. Feature management built the company. The next chapter is bigger: as the cost of writing code falls and the volume of change outpaces human review, the constraint is moving from writing software to controlling it. LaunchDarkly is building the critical infrastructure for the AI-SDLC. Customers build their own software factories. We build the rails they run on. We are hiring the leader of Product Management for LaunchDarkly. Reporting to the Chief Product Officer, you will own the product management organization end to end: the people, operating system, roadmap commitments, and commercial outcomes across every product pillar. You will sit at the technology leadership table as the Product Management peer to the heads of Engineering and Product Design. The CPO sets the company’s product vision and strategic direction. You will build and run the product organization that turns that direction into a coherent portfolio, shipped outcomes, customer adoption, and revenue growth. This is a hands-on operating role for a product leader who knows how to build the machine, make the tradeoffs, and finish the work. Responsibilities: Lead cross-functional product leadership. Serve as the product counterpart to Engineering, Product Design, Marketing, Sales, Customer Success, and Finance. Resolve cross-functional tradeoffs, establish shared commitments, and ensure LaunchDarkly presents one coherent product strategy to customers and the market. Build and lead the product management organization. Design the organization intentionally, allocate resources effectively, maintain a high talent bar, build succession plans, and establish clear ownership for every product surface a customer or sales representative may ask about. Own the product operating system. Establish the cadence that turns strategy into shipped software and met goals, including quarterly commitments, leadership reviews, squad-level inspection, launch briefs, new product introduction (NPI), and the product-to-field handoff. Make execution predictable enough that the executive team does not have to ask whether something shipped. Drive roadmap delivery across every product pillar. Lead execution across Enterprise, Foundation, Observability, Experimentation, Agent Control, Automation, and the platform beneath them. Build a culture of doing what we say we are going to do. Create portfolio discipline without slowing the company down. Ensure new bets enter the portfolio through explicit decisions rather than hallway conversations, while preserving the flexibility to respond to market changes. Marketing dates should be commitments the product organization can confidently support. Drive finishing. A product is not done when version one ships; it is done when the team has iterated based on learning. A launch is not done when it ships; it is done when the field is amplifying it. A process is not done when it is written; it is done when it creates leverage for the team. Own packaging execution and commercial outcomes. Lead how pricing and packaging land in the product and in the field so every representative can sell the full platform and every pillar contributes to its commercial goals. Stay close to customers and the field. Spend time with the largest customers and most demanding evaluators, translate what you learn into product decisions, and build a process that brings customer and field insight into the roadmap at scale. Use AI to increase product and engineering leverage. Help the organization adopt AI-assisted development and product practices in ways that increase delivery speed while maintaining quality and judgment. What Success Looks Like in Your First Year: The organization is complete. The leadership model is in place, product lines have the right pillar leadership, spans and layers are intentional, decision rights are clear, succession risks are understood, and the organization can continue to scale. Delivery increases every quarter. Shipped output per team rises quarter over quarter as AI-assisted development compounds, with quality holding. The operating system runs without the CPO driving it. Reviews, check-ins, launch briefs, and NPI happen on cadence and at a consistent bar. The portfolio is staffed. Every initiative in flight has an explicit staffing decision and plan behind it. The numbers move. Activation, attach, activity, and expansion targets for each pillar respond to the organization’s inputs. The team is stronger than you found it. Product managers have more leverage, complementary strengths are valued over a uniform mold, and every hire raises the bar. About You: You are direct, decisive, and high-agency. You identify a problem, propose a fix, and act unless someone tells you not to. You are a relentless simplifier, not a caretaker. When you find friction, your instinct is to remove process rather than add it. You know how to run a company of this size like a small company that ships. You are a builder of people and move quickly on people problems. Product leaders who have worked for you say you made them better and would work for you again. You raise the bar clearly, promote based on evidence, and do not allow known performance problems to persist. You are comfortable challenging a strategy and turning it into a sequenced portfolio. You can tell the story of an idea you pushed back on, how you used evidence to make the call, and how you maintained the relationship. You write clearly and make decisions. You use written argument to create alignment, expect strong writing from your team, and end meetings with a decision. You are customer-oriented and commercially grounded. You can move from a conversation with a developer or data scientist to a discussion with an executive buyer or sales leader without losing the thread. Qualifications: Minimum of  15+ years of experience in Product Management, including 7+ years leading Product Managers and product leaders across a multi-product B2B platform . Experience leading Product Management at the VP, SVP, or equivalent level across a multi-product B2B platform. Experience leading a product management organization of 20 or more product managers at a company with approximately $100M to $500M in revenue. A track record of building and developing a product organization, rather than simply inheriting one. Demonstrated ability to turn company strategy into a reliable operating system that delivers roadmap commitments and measurable business outcomes. Experience working with a founder or visionary executive and converting a high volume of ideas into a sequenced, resourced portfolio. Experience building products for engineering organizations and selling to CTOs, platform leaders, and data science teams. Strong commercial fluency, including experience owning or materially influencing pricing, packaging, attach, expansion, and go-to-market execution. Experience balancing enterprise and self-serve motions, including an understanding of what drives a large enterprise expansion and what creates value for a developer on a free plan. Practical experience using AI agents in your own work and applying AI-native approaches to product management or software development. You should have clear opinions about how AI changes product management, supported by things you have shipped. Demonstrated ability to lead through ambiguity, make decisions with incomplete information, and improve delivery speed without compromising product quality. Pay: Target pay ranges based on Geographic Zones* for Level E1: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $424,000 - $583,000 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $381,600 - $524,700 * Zone 3: All other US locations - $360,400 - $495,550 * All Zones Inclusive of 25% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Sr. Partner Sales Manager to drive North American sales execution with Databricks and accelerate co-selling and go-to-market activities across our ecosystem. This is a full-time position based out of a USA-based office or remote. What You’ll Do Build productive North American sales relationships with Databricks Drive sales enablement & engagement with Databricks & our sellers to grow pipeline and exceed revenue and consumption goals Drive joint sales & marketing plays to generate pipeline and closed revenue for Fivetran & dbt Labs Collaborate internally at Fivetran and dbt Labs with product, sales, and marketing functions to accelerate revenue impact for Fivetran and dbt through Databricks Skills We’re Looking For 8–10 years of experience as a partner sales or partner development manager, with a proven ability to build mutual success with large data and AI platform partners Experience partnering with & navigating hyperscaler/platform partner sales and marketing organizations Demonstrated ability to meet and exceed pipeline/revenue quotas through partners Well-developed commercial mindset with the ability to create partner-sourced pipeline Excellent verbal, written, and in-person communication skills to interact with internal and external sales leadership as well as Account Executives Ability to operate in a highly accountable, fast-paced work environment with integrity Passion for being an inclusive, collaborative teammate focused on business outcomes Bonus Skills​ An existing Databricks network of sellers, solutions architects, and leaders Track record of success in sales and alliances at technology companies; startup experience preferred, but not required The ability to articulate a clear strategy for growing and supporting your partner Ability to adapt quickly as product and platform partner strategies evolve Demonstrated expertise in data analytics, ETL, BI, and/or open-source software This position qualifies for Fivetran’s incentive plan, and it’s common for employees in this role to achieve the total on-target earnings. #LI-REMOTE OTE (On Target Earning) $202,645 — $253,307 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote, Maryland, United States; Remote, Massachusetts, United States, AMER; Remote, New Jersey, United States, AMER; Remote, New York, United States, AMER; Remote, Pennsylvania, United States, AMER; Remote, Virginia, United States, AMER; Remote, Washington DC, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re seeking an experienced Sr. Technical Instructor with a passion for teaching and working with data to join our training team to setup Enterprise customers and partners for success with dbt to empower data developers to create and disseminate organisational knowledge. What You’ll Do Deliver live, world-class instruction to train and onboard dbt - Fivetran customers, partners, and GSIs in small (~10), large groups (up to ~30) and webinar audiences (50 - 200) Create an engaging learning environment initially in a remote context (on Zoom!) and likely in person in the future Get learners excited about using dbt - Fivetran to make an impact at their organization Clearly teach and demo new concepts and skills for learners Facilitate live co-development sessions where learners apply what they have learned Adjust instruction on the fly while focusing on learner outcomes Provide critical feedback from your classroom experience to improve curriculum changes Become a product expert with dbt - Fivetran in the context of the modern data stack (if you aren’t already) Jump in on other education projects including curriculum development and improving our workflows Skills We’re Looking For You have 4+ years of experience teaching with some data analytics experience OR 4+ years of data analytics experience with some teaching You have experience writing SQL in an analytics context You love teaching and creating those lightbulb moments for learners You create learning environments with high levels of engagement You are laser-focused on learner and customer outcomes while adjusting instruction on the fly - our customers are coming to use our product from varied tooling and skillsets You believe teaching is a craft that we can always get better at and actively seek out feedback You communicate clearly and concisely with internal and external stakeholders You thrive in an environment of cross-collaboration that moves quickly Bonus Skills​ You have worked on customer education/training teams and know how training can drive outcomes for customers. You have experience using dbt and/or teaching dbt - Fivetran. You have experience writing analytics code (i.e., Python, R, etc.) in addition to SQL and working with databases You have experience designing curricula with a focus on backwards design. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $112,842 — $135,416 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

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 Beneficial Deployments team brings Claude to organizations doing some of the world's most important work across the nonprofit and education sectors. These organizations share a problem: mission-critical work, thin budgets, and little slack to figure out new technology on their own. Our Customer Success team helps them go from first login to Claude being part of how their teams work, but we cannot do that one organization at a time, nor should we. The sector already has trusted intermediaries these organizations turn to first: networks, capacity builders, funder technical assistance providers, community colleges, and fellowship programs. This role exists to make those intermediaries as effective at activating and training organizations on Claude as our own Customer Success team is. As the Scaled Enablement Lead, you'll build the Claude for Nonprofits train-the-trainer program that qualifies intermediaries to onboard organizations and deliver Anthropic-designed workshops on our behalf. You'll own the kits, credentials, and quality gates that let them run the show without an Anthropic CSM in the room. You'll also own the enablement thinking behind scaling impact through Claude Corps : how what fellows learn and build serves every organization we support, not only the ones that host them. The people you enable are not selling Claude. They are trainers, implementers, and program staff whose job is to help mission-driven organizations meaningfully adopt AI. Your job is to make sure these intermediaries can do that with Claude, to the same bar we hold ourselves to, and to help them evolve their offerings as we learn what these organizations need. The measure of success for this role is organizations activated and trained well without Anthropic delivering it. You'll be half program builder, half facilitator. You'll design and deliver the first cohorts yourself, then make the system repeatable: kits, qualification paths, credentials, teach-back gates, and a refresh rhythm that keeps content current as our products change. You'll build on the operating model and certification infrastructure of Anthropic's Education team and own everything specific to this audience, working closely with Beneficial Deployments Customer Success, Partnerships, Claude Corps program leadership, and our Education teams. This is not a partner account management or alliances role, and it carries no quota. It is not a book-of-business Customer Success role either, though you'll spend time with organizations to stay grounded in what these nonprofits truly need. The role reports to the Customer Success Lead for Beneficial Deployments, has no direct reports today, and may grow into people management as the program scales. Expect periodic travel for in-person cohorts and sessions. Key responsibilities: Own the Claude for Nonprofits train-the-trainer program end to end: its tracks, the qualification path for each, the credential, and recertification Build the kits intermediaries teach from: an activation playbook covering kickoff, admin setup, launch, and Day 30/60/90 reviews, and workshop-in-a-box modules starting with AI fluency and use case discovery, each with a deck, facilitator guide, demo scripts, sample data, and workbook Recruit and qualify a pilot cohort of anchor intermediaries, then open a repeatable application process that routes each to the right track and the right home, whether the Claude Partner Network or a Beneficial Deployments credential Design and deliver enablement for network intermediaries, adapting the program to how each reaches and supports its members, and help them evolve their offerings as we learn what organizations need Build the connective tissue among intermediaries so they learn from each other: shared office hours, a facilitator cohort that stays together after qualification, and a clear path for bringing new intermediaries along Support the enablement thinking for Claude Corps: how we extend the reach of fellows and the organizations around the program, and how what they learn feeds back into the enablement every customer receives Hold the quality bar when Anthropic is not in the room through teach-back gates, graded mock sessions, shadowing, and session satisfaction and activation quality at or above Anthropic-led benchmarks Run the program as one system: content intake and refresh calendar, production standards, resource hub organization, learning management system courses and assessments, and the agreement and attribution model for intermediaries acting on Anthropic's behalf Own the program's numbers, including approved trainers, collaborator-led activations and workshops, the Anthropic effort required per organization activated, and quality against benchmark, and use them to decide where the effort goes next Be the field voice for intermediaries inside Anthropic, bringing what they learn back into our enablement content, product feedback, and engagement model Minimum qualifications: 7+ years of experience in enablement, training, or program management Train-the-trainer at scale. You have built and run a program that qualified other people to deliver your training consistently without you in the room: a certified facilitator network, a partner or community education program, or an instructor credential. Learning design and delivery. You have designed adult learning experiences end to end, including curriculum, facilitator guides, and assessments, and delivered them live Nonprofit ecosystem fluency. You have worked with or inside the intermediaries that reach mission-driven organizations (networks, capacity builders, funders, technical assistance providers) and understand how they influence adoption Hands-on proficiency with AI tools. You use Claude and/or other AI tools in your day to day and understand their impact firsthand Preferred qualifications: Comfort being the single owner of a program while depending on teams you do not manage Ownership of, or close partnership with, a certification or badging program, including assessment design and recertification Experience with Skilljar or another learning management system, and with partner portals or resource hubs Facilitation of change management or AI fluency programs for non-technical teams Time at a capacity-building organization, an intermediary, or an edtech or technology company serving the sector Experience leading work through contractors or vendors while keeping several programs coherent 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: $265,000 — $320,000 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. 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: Brazil About the Role Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors. Industry Insight Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust. About Alvys Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar. Our Principles Engineering Principles Build for Real-World Impact. Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding. Extreme Ownership and Empowerment. Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results. Technology Debt is Strategic, Not Accidental. Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow. Simplicity Scales; Complexity Costs. Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load. Radical Transparency. We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth. Engineering Culture Move Fast, Learn Fast. Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity. Own the Outcome. Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last. Partner, Don't Gatekeep. Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one. Pragmatism Over Purism. Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones. People Over Heroics. We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected. Responsibilities Cloud security architecture Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access. Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them. Build secure defaults into our infrastructure modules so new resources start out compliant. Vulnerability management and pipeline security Help run our vulnerability management program, driving remediation within defined SLAs. Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing. Tune and improve the automation we already use to process security findings. Penetration testing Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting. Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs. Infrastructure for security, IT, and AI tooling Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one. Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity. Working with others Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work. Write clear runbooks and documentation, and produce evidence for our SOC 2 program. Tech Stack Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID) Infrastructure as code: Terraform CI/CD: GitHub Actions and Azure DevOps pipelines Containers: Docker, Kubernetes, Azure Container Registry Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana Security: Aikido, Cloudflare AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot Application code: .NET/C#, TypeScript, Angular, React Minimum Qualifications Fluent in English, spoken and written. 3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering. Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management. Production experience with infrastructure as code, preferably Terraform. Experience building and maintaining CI/CD pipelines. Working knowledge of containers and Kubernetes. Scripting skills in Python, PowerShell, or Bash. Understanding of common security risks in cloud and web applications, and how to fix them. Ability to explain technical risk clearly to engineers and non-engineers. Preferred Qualifications Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities. Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing. Experience coordinating penetration tests or working with external security firms. Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus). Familiarity with SOC 2, ISO 27001, or CIS Benchmarks. Interest in AI tooling and how to deploy and monitor it safely. Security certifications such as AZ-500, Security+, or similar are a plus. Background in logistics or transportation is a bonus.

Location: Mexico About the Role Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors. Industry Insight Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust. About Alvys Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar. Our Principles Engineering Principles Build for Real-World Impact. Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding. Extreme Ownership and Empowerment. Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results. Technology Debt is Strategic, Not Accidental. Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow. Simplicity Scales; Complexity Costs. Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load. Radical Transparency. We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth. Engineering Culture Move Fast, Learn Fast. Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity. Own the Outcome. Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last. Partner, Don't Gatekeep. Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one. Pragmatism Over Purism. Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones. People Over Heroics. We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected. Responsibilities Cloud security architecture Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access. Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them. Build secure defaults into our infrastructure modules so new resources start out compliant. Vulnerability management and pipeline security Help run our vulnerability management program, driving remediation within defined SLAs. Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing. Tune and improve the automation we already use to process security findings. Penetration testing Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting. Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs. Infrastructure for security, IT, and AI tooling Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one. Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity. Working with others Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work. Write clear runbooks and documentation, and produce evidence for our SOC 2 program. Tech Stack Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID) Infrastructure as code: Terraform CI/CD: GitHub Actions and Azure DevOps pipelines Containers: Docker, Kubernetes, Azure Container Registry Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana Security: Aikido, Cloudflare AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot Application code: .NET/C#, TypeScript, Angular, React Minimum Qualifications Fluent in English, spoken and written. 3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering. Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management. Production experience with infrastructure as code, preferably Terraform. Experience building and maintaining CI/CD pipelines. Working knowledge of containers and Kubernetes. Scripting skills in Python, PowerShell, or Bash. Understanding of common security risks in cloud and web applications, and how to fix them. Ability to explain technical risk clearly to engineers and non-engineers. Preferred Qualifications Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities. Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing. Experience coordinating penetration tests or working with external security firms. Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus). Familiarity with SOC 2, ISO 27001, or CIS Benchmarks. Interest in AI tooling and how to deploy and monitor it safely. Security certifications such as AZ-500, Security+, or similar are a plus. Background in logistics or transportation is a bonus.

Location: 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 As a Federal Civilian Account Executive - Federal Financials at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies such as the Department of Treasury, IRS, Regulators and government-sponsored enterprises such as Fannie Mae. You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of federal civilian procurement, including FAR compliance, security standards, and agency-specific regulations Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation Develop and execute strategic account plans that align with agency missions and modernization initiatives Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements Create and maintain sales playbooks specific to federal civilian use cases and procurement processes Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements You may be a good fit if you have: 8+ years of enterprise sales experience in the federal civilian space preferably within Federal Financials, alongside a proven track record of driving adoption of emerging technologies A deep understanding of federal civilian agency missions, challenges, and technology needs Demonstrated the ability to balance strategic leadership with hands-on sales execution Experience navigating complex federal procurement processes and compliance requirements A strong track record of exceeding revenue targets in the federal civilian space Extensive experience with federal civilian contracting vehicles and procurement mechanisms Excellent relationship-building skills across all levels, from technical teams to senior agency leadership A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators Strategic thinking combined with attention to detail in execution A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 About the Role Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors. Industry Insight Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust. About Alvys Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar. Our Principles Engineering Principles Build for Real-World Impact. Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding. Extreme Ownership and Empowerment. Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results. Technology Debt is Strategic, Not Accidental. Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow. Simplicity Scales; Complexity Costs. Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load. Radical Transparency. We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth. Engineering Culture Move Fast, Learn Fast. Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity. Own the Outcome. Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last. Partner, Don't Gatekeep. Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one. Pragmatism Over Purism. Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones. People Over Heroics. We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected. Responsibilities Cloud security architecture Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access. Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them. Build secure defaults into our infrastructure modules so new resources start out compliant. Vulnerability management and pipeline security Help run our vulnerability management program, driving remediation within defined SLAs. Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing. Tune and improve the automation we already use to process security findings. Penetration testing Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting. Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs. Infrastructure for security, IT, and AI tooling Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one. Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity. Working with others Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work. Write clear runbooks and documentation, and produce evidence for our SOC 2 program. Tech Stack Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID) Infrastructure as code: Terraform CI/CD: GitHub Actions and Azure DevOps pipelines Containers: Docker, Kubernetes, Azure Container Registry Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana Security: Aikido, Cloudflare AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot Application code: .NET/C#, TypeScript, Angular, React Minimum Qualifications Fluent in English, spoken and written. 3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering. Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management. Production experience with infrastructure as code, preferably Terraform. Experience building and maintaining CI/CD pipelines. Working knowledge of containers and Kubernetes. Scripting skills in Python, PowerShell, or Bash. Understanding of common security risks in cloud and web applications, and how to fix them. Ability to explain technical risk clearly to engineers and non-engineers. Preferred Qualifications Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities. Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing. Experience coordinating penetration tests or working with external security firms. Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus). Familiarity with SOC 2, ISO 27001, or CIS Benchmarks. Interest in AI tooling and how to deploy and monitor it safely. Security certifications such as AZ-500, Security+, or similar are a plus. Background in logistics or transportation is a bonus. Equal Employment Opportunity Alvys is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws. We are dedicated to growing a diverse team of highly talented people. We’re dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive—believing in and bringing out the best of everyone. If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs. For information about Alvys's privacy practices, see our Privacy Policy .

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. The Editorial Publishing team is looking for a team member to write, edit, and review material that Anthropic publishes about its own systems, including model cards, risk reports, safety and security reports, and other technical material. You’ll have a front-row seat to some of the most consequential material a frontier AI lab produces, working cross-functionally with teams like Alignment, Interpretability, Safeguards, Policy, and Legal to produce rigorous reports on tight timelines. You’ll be describing model behavior, training environments, evaluation methods, and their limitations, and must be legible to both technical experts and general-public readers. The ideal candidate brings clarity and structure to complex writing and editing processes involving many stakeholders. Key responsibilities Write and edit technical public-facing reports and blogs for Anthropic Takes pieces from inception to publication on short deadlines Solicit input from partner teams across Anthropic, while preserving narrative clarity Minimum qualifications Strong alignment with our mission and experience working in AI safety Strong writing and editing skills, with a portfolio of published work that demonstrates an ability to explain technical subjects to non-specialist readers Familiarity with how frontier AI systems are trained, evaluated, and deployed A track record of shipping accurate, polished work on short deadlines and under pressure Ability to work with subject matter experts to understand technical concepts and fact-check assertions Strong judgement about how to incorporate legal, policy, and reputational considerations into the work Comfort taking ownership in a fast-moving environment where processes are still taking shape Preferred qualifications Experience writing or editing safety or security reports, postmortems, transparency reports, or similar public disclosures Experience as a technical writer or editor at a technology company or research lab Comfort working in a content management system (CMS) and publishing web content Experience using AI tools like Claude to streamline editorial processes 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: $265,000 — $295,000 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an Accountant to join our Corporate Accounting team. You will be a hands-on member of the close: owning a defined set of accounts and entities from transaction through reconciliation, and making sure what lands in the financial statements is accurate, supported, and explainable. This is a role for someone who likes getting into the detail and also asks why the process works the way it does. You will work closely with partners across Finance, Procurement, Payroll, Legal, Tax, and Finance Systems, and you will help us build a close that scales with the company, with a lot of room to improve how the work gets done as we grow. Key responsibilities Own month-end and quarter-end close activities for an assigned set of accounts and entities, including journal entries, accruals, account reconciliations, and supporting schedules, delivered on the close calendar Prepare balance sheet reconciliations and flux analyses, investigate variances to root cause, and write clear explanations for reviewers and business partners Maintain US GAAP supporting schedules and documentation for your areas of ownership, such as prepaids, fixed assets, accruals, and intercompany balances Draft accounting memos and process documentation for routine and recurring transactions, and escalate non-routine items to Technical Accounting with a clear summary and a proposed treatment Execute internal controls for your areas and prepare audit support, including schedules, evidence, and responses to auditor requests Partner with business owners and finance colleagues to understand new transactions, resolve issues at the source, and reduce adjustments after close Review work from contractors and team members, and give feedback that helps the team raise its quality bar Identify and implement process improvements and automation, including using Claude and other AI tools, and check the output carefully before anyone relies on it Support system and process changes in the accounting function, including testing, data validation, and documentation Minimum qualifications Working knowledge of US GAAP, applied hands-on to the monthly close: journal entries, accruals, reconciliations, and financial statement support Experience preparing account reconciliations and flux analyses in an ERP or general ledger system (for example, Workday, NetSuite, or equivalent) Strong spreadsheet skills, including lookups, pivot tables, and reconciling large data sets in Excel or Google Sheets Experience supporting external audits and operating internal controls Clear written and verbal communication, including the ability to explain accounting results to colleagues who are not accountants Sound judgment on when to resolve an issue independently and when to escalate it Attention to detail and a strong sense of ownership, with the ability to manage competing deadlines Preferred qualifications 7+ years of progressive accounting experience, in public accounting, in industry, or a combination of both CPA, ACA, ACCA, or CA qualification, or progress toward one Experience in a fast-moving environment where processes were still being defined, with a track record of improving them Familiarity with technical areas such as ASC 842, ASC 718, ASC 606, fixed assets, or multi-entity and intercompany accounting Experience with close management or reconciliation tooling, or with SQL or Python for data analysis Experience with an ERP migration, SOX readiness, or public company reporting A track record of using AI tools to speed up accounting or finance work, with checks that hold up to review Genuine interest in AI and Anthropic's mission to build reliable, interpretable, and steerable AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $160,000 — $190,000 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. 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.