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About Scale Scale builds AI systems for decisions that matter. We started out providing the data and evaluation behind many of the world's leading models, and we still work with the major frontier labs on research and post-training. Today we also build full applications: we take an organisation's own data and expertise, forward deploy alongside their teams, and build the systems they come to rely on, powered by the Scale GenAI Platform. The Role The UK is making a wholesale shift to AI. The government's AI Opportunities Action Plan set out to "mainline AI into the veins" of the country, and the focus has now moved to delivery: the Incubator for AI ( i.AI ) is shipping tools like the Humphrey suite into departments, a Sovereign AI Unit and AI Growth Zones are being stood up, and civilian departments are under real pressure to move from pilots to production. Scale can play a foundational role in building the reliable AI applications that shift depends on. We're looking for someone to lead that work in central government. This isn’t about staying in the office and managing a team of sales people, its about building the business from the front. You'd own our commercial relationships across civilian departments, starting where the near-term pipeline is strongest: HMRC, DWP, and NHS. This is a critical role reporting directly to our Head of Public Sector, UK. You'd carry a number, win deals yourself, and build a small team behind you as the work grows. It suits someone who has sold into these departments before and knows how they actually make decisions, not just how the org charts look. What you'll do - Own our commercial plan and pipeline for UK civilian central government - Find, shape, and close deals yourself, from the first conversation through to contract and into delivery - Use the relationships you already have across departments like HMRC, DWP, and NHS - Work the frameworks, tenders and teaming, and know which route to market is worth the effort and which isn't. - Be a credible counterpart to senior civil servants, and turn what they need into work we can deliver - Stay close to our product and delivery teams so what we sell is what we build - Hire and lead a small team over time, and help shape the wider UK public sector plan with the UK Public Sector Lead What we're looking for - You've sold and delivered technology or transformation work to UK civilian central government, either from a vendor or from inside government - You’ve rolled up your sleeves and built something from scratch, whether that’s a new vertical, territory or product launch - You know at least one major department well (e.g. HMRC, DWP, or NHS) and how it buys - You understand public sector procurement: frameworks, tenders, and buying that runs through a lot of stakeholders - You've opened doors, run complex pursuits, and owned the result - You have relationships with senior people across departments - You do your best work when things are ambiguous and moving quickly People who tend to fit this have spent years leading UK public sector work at companies like Palantir, Google, AWS, Microsoft or Oracle, at consultancies and systems integrators like Accenture, Deloitte, EY, Bain or McKinsey, or in senior commercial or programme roles inside the departments themselves. Why join You'd be building this market, not maintaining it. There's no playbook to inherit, which is rather the point. The deals you win, and the way you win them, will shape how Scale works with UK government for years. About Us At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., Middle Eastern governments, and U.S. government agencies. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About the Team Employee Technology & Experience helps people at OpenAI do their most ambitious work. Across Helpdesk, Executive Support, Systems Operations, Logistics and audiovisual services, we make technology simple, reliable and secure. Employee needs guide what we build, improve and eliminate. IT Logistics keeps employees equipped, from day 1 readiness to timely replacements and self-service peripherals. We manage the full equipment lifecycle and improve access to hardware as employee needs evolve. About the Role We’re hiring an IT Logistics Lead to manage the team that keeps OpenAI employees equipped for their most important work. You’ll run daily operations, evaluate new hardware and introduce equipment and services that address unmet needs. You’ll own the hardware and peripheral catalog, fulfillment programs, asset management systems and regional operating models. You’ll deliver on IT’s promise: equipment ready on day 1 globally, choices suited to each employee’s location and work, self-service employees trust, and accurate records of what we own, where it is and who has it. This is a hands-on people management role. You’ll coach team members, manage performance and work alongside them on execution and escalations. With your manager, you’ll set priorities and plan capacity. As customer zero, you’ll use OpenAI products to solve unresolved logistics problems, continually improving accuracy and shortening lead times. In this role, you will: - Own a hardware and peripheral catalog that keeps pace with employee needs, with new equipment options and devices ready for use with current, validated software images and configurations. - Deliver day 1 readiness globally, with equipment suited to each employee’s location and work. Ensure timely fulfillment, refreshes, replacements, loaners, telecom and mobility, and high-risk travel services as offices and programs expand. - Own and scale the employee IT vending machine program and other self-service channels as services employees trust, with the right peripherals available, machines working every time and tightly managed shrinkage. - Own asset accountability across the full lifecycle, with 100% accurate records that reconcile to physical inventory and trusted chain of custody from receipt through recovery, reuse and secure disposition. - Own forecasting, capacity and logistics performance to continually improve accuracy, shorten lead times and keep equipment available. Control lifecycle costs, reduce excess stock and waste, and maintain service through supply disruptions. - Use OpenAI products, including Codex and agents, as customer zero to solve previously unresolved logistics problems and improve accuracy, speed and scale, with appropriate evaluation, security and human oversight. - Manage and develop team members so each person builds skills, takes ownership and delivers excellent work. Build team and delivery partner capability that sustains quality and consistency as demand grows. - Scale service globally with accountable regional partners and repeatable operations that meet local needs while maintaining speed, inventory accuracy and a consistent employee experience. - Keep daily operations reliable as demand changes, with timely escalation resolution, capacity and commitments aligned with your manager, and clear decision ownership across engineering, security, support, workplace, finance and procurement. You might thrive in this role if you have: - Led inventory and fulfillment across multiple sites or regions, owning forecasting, delivery partners, service performance and cost, with sustained improvements in accuracy, reconciliation, shrinkage, availability and lead times. - Delivered automation and AI-enabled workflows used in daily operations, including solutions to previously unresolved problems. You can explain your contribution, measurable results, reliability testing, security controls and human oversight. - Managed people through rising demand and changing priorities, with responsibility for goals, feedback, performance and development. Your coaching helped individuals build skills, take ownership and improve their work. - Launched services that met employee or customer needs, balancing usability, cost, security and control. You align partners, make sound technical and business decisions, communicate candidly and own adoption and results. Workplace & Location This role is based in San Francisco and has a global scope, including regional travel. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role This role is focused on driving new and expanded advertising revenue and ensuring successful business results for advertisers within the Spanish market. You will own the full sales cycle — from prospecting to deal closure, developing long-term commercial partnerships to help advertisers achieve their business objectives while ensuring a strong and responsible experience on our platform. You’ll work closely with Customer Success Managers and key cross-functional partners to ensure advertisers achieve successful outcomes after the sale, while maintaining primary ownership of revenue growth and commercial strategy. This role is based in our Dublin office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Prospect, qualify, and close new advertising opportunities, leading the full sales cycle from initial engagement through contract execution. - Own and achieve a defined revenue target within an assigned territory or vertical. - Develop and execute structured account plans to drive advertiser ROI and long-term revenue growth. - Build and maintain relationships with senior-level advertising decision-makers, delivering strategic guidance and actively gathering their feedback. - Structure and negotiate complex commercial agreements. - Quantify opportunities through clear, data-driven business cases aligned to advertiser objectives. - Lead cross-functional collaboration across Product, Engineering, Marketing, Policy, and Operations to support complex deals. - Partner with Customer Success Managers to ensure seamless post-sale transitions and coordinated expansion strategies. - Maintain rigorous pipeline management and accurate revenue forecasting. You might thrive in this role if you: - Have 10+ years of experience in performance marketing, digital marketing, or client-facing strategy and consulting roles. - Have 3+ years of experience as proven advisor influencing executives and clients. - Fluent in Spanish & English language. - Have experience owning revenue targets and closing complex deals. - Can build structured business cases and influencing senior stakeholders (internally and externally). - Have strong verbal and written communication skills. - Can operate in ambiguous, fast-changing environments. - Understand the client’s business and priorities to define success metrics and align on partnership goals. - Translate analytical insights into compelling commercial narratives. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. About the role Preferable to have someone near an office in NYC or San Francisco, but open to hiring around the world for the right candidate. Runway Creative is an all-in-one platform giving creators and businesses endless ways to generate and edit video, images, and audio. Our user base spans across professional creatives, as well as business owners and enterprise marketing and merchandising teams that come to Runway to generate videos, ads and other content to promote their products and services. We're hiring for a Senior Product Manager to build agent products. You’ll own new product development end-to-end, from customer and technical discovery, to product shaping and viability, to quality and feedback loops that make these products better. You’ll work at the frontier of agentic product development, shaping how Runway Agents help our customers grow their businesses. What you’ll do - Represent the customer: develop deep understanding of creative and marketing workflows through frequent customer engagement; synthesize findings on agent performance and behavior, and lead a team with clarity and conviction. - Lead Agent Development: run user interviews, competitive research, eval analysis, and prompt experimentation. Shape your findings into new product offerings that solve customer problems in new and novel ways. - Own agent quality: create eval infrastructure, monitor regressions, and ensure that agents improves with every release. - Shape the scope: scope ruthlessly to deliver exceptional user value on a fast paced release. - Ship, hands-on. ship your own PRs to improve the product experience. You'll be in the details daily and shipping regularly. - Create compelling launch moments : enable sales, support, and marketing with the context they need to communicate new agent capabilities effectively What you’ll need - 8+ years in the software industry, with direct ownership of an AI or LLM powered product in a product management or engineering leadership role. A track record of moving revenue and adoption metrics, not just shipping features. - You thrive in an environment with rapid pace and a high accountability culture. You move very fast, make decisions with incomplete information, and instinctively gravitate towards shipping today, not writing docs for tomorrow. - Hands-on experience building and shipping agent-products - you understand tool use, planning loops, multi-step reasoning, and how and why agents fail. You have deep familiarity with prompt engineering and evaluation frameworks. - Excellent written and verbal communication. You can make a sharp, written argument and tell a compelling launch story. You confidently assess the state of the business, call out challenges and articulate your plans to solve them. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The role Mistral is building a sovereign AI cloud. Our inference platform already serves production traffic at scale. We are hiring a Lead Product Manager to own the inference portfolio within our Cloud & Inference organization. You'll set strategy, write specs, sit with customers running production traffic, and work across our inference, infrastructure, and go-to-market teams to deliver real customer impact. Example problems you may work on include figuring out the next inference product we should launch to help our customers scale their AI workloads or how we cut fraudulent free-tier usage without adding friction for legitimate users. You will work on state of the art infrastructure, in close collaboration with our science and research engineering teams. Your job is to turn that infrastructure into products that AI-native startups and enterprises pay for, integrated with our developer platform Studio. You will operate as an individual contributor first — taking end-to-end ownership of complex and significant product lines — while building the foundation for the inference PM team as the portfolio grows. The size and shape of the team reporting into the role will be defined together with the VP Product once you're in place; from day one the expectation is hands-on product leadership, not people management. You will be the first PM fully dedicated to inference and the most senior product hire in the space. You will report to the VP Product - Cloud & Inference, and work day-to-day with our inference engineering teams in the US and Europe. What you'll do - Strategy and vision: define the vision, strategy, and annual goals for the inference portfolio, aligned with customer needs and company objectives. Benchmark the managed-inference field and pick where we win. - Roadmap and execution: own the full lifecycle for serverless inference, dedicated endpoints, and adjacent services. Prioritize, ship, measure, iterate. Economics: own adoption, revenue contribution, and gross margin for your products. Treat cost-per-token, unit economics, and capacity tradeoffs as product decisions, and partner with GTM, Finance and Marketing on pricing, packaging, and launches. - Customers: spend real time with AI-native startups and enterprises running advanced production workloads. Turn their constraints, like latency, throughput, compliance, and cost, into roadmap choices. - Engineering partnership: work daily with inference engineering and the cloud infrastructure teams behind our data centers on capacity planning, scheduling, routing, and reliability. - Research and open source: track open-source inference advances and emerging model architectures, and turn them into performance and efficiency gains for the product. - Team building: as the portfolio scales, help shape and grow the inference PM team — hiring, mentoring, and setting the product bar. What we're looking for - Deep product experience in tech and infrastructure with a track record of bringing inference, cloud infrastructure, or large-scale distributed systems to market. You have built robust, at-scale AI infrastructure first-hand. - An engineering background before moving into product management. - You have taken an infra or inference product from early stage to material revenue and adoption, owning complex and significant product lines end to end. - Player-coach disposition: you lead from the front — hands-on product work now, with the range and appetite to build and coach a team as we scale. - Fluency in the economics of the business: gross margin, unit economics, and the tradeoffs behind token pricing and GPU capacity. - High ownership and a strong bias for action. You prototype with AI coding tools, write your own specs, and unblock yourself without waiting for engineers or designers. - Low ego, comfort in ambiguity, and credibility with executives, engineers, and customers alike. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a State and Local Affairs Lead to lead Anthropic's engagement with state and local governments across the Midwestern United States, advancing AI policy, legislation, and regulation that supports Anthropic's mission of ensuring that the world safely makes the transition through transformative AI. In this role, you will work closely with Anthropic's other Regional State and Local Affairs Leads, as well as coordinate with our Policy leadership, Communications, and Legal teams. You will own Anthropic's relationships and legislative and regulatory work across the Midwest — engagement with state legislatures, governors' offices, attorneys general, state agencies, and local governments. You will travel regularly across the region. Successful candidates will demonstrate a track record of political strategy and execution — with specific examples of how you have contributed to complex policy campaigns, built durable relationships with elected officials and community leaders, supported legislative and regulatory outcomes, and executed with accountability and focus in fast-moving environments. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about safe development of AI systems, and build partnership with governments through proactive, opinionated, substantive policy conversations. We recognize that our approach to AI policy is distinctive — grounded in honest assessment of technological trajectories and authentic concern for safe scaling — and we need a regional lead who can bring that positioning to life at the state and local level. This role offers an opportunity to be part of building a high-impact state affairs operation at a critical moment for AI policy. You will be responsible for executing on strategic priorities across your region, building relationships with government stakeholders, and contributing to the broader state affairs function. Key responsibilities - Serve as Anthropic's lead for state and local government affairs across the Midwestern United States, working in close coordination with the other Regional State and Local Affairs Leads - Build and maintain relationships with state legislators, legislative staff, governors' offices, attorneys general, and state agency leaders across your region - Engage directly with local officials whose decisions affect Anthropic's work — mayors, city councils, county commissions, and economic development boards - Track state and local legislation and regulatory proceedings affecting AI and the technology sector, provide analysis and intelligence to inform company strategy, and represent Anthropic's positions - Build durable partnerships with local and regional organizations, including chambers of commerce, economic development groups, labor organizations, universities, and school districts - Represent Anthropic at legislative hearings, regional events, and public forums, including with audiences who are skeptical of AI - Work with the Communications team to develop clear, accurate messaging for regional policy campaigns - Translate Anthropic's technical research and policy positions into engagement strategies tailored to Midwestern state political environments - Manage the outside advisors and registered lobbyists who support Anthropic's work in your region - Coordinate with Anthropic's policy, communications, legal, and executive teams to ensure that regional activity aligns with company-wide positioning Minimum qualifications - Align with our mission and embrace the imperative of policy impact and change - Have experience in state and local government affairs, political strategy, or legislative roles, with demonstrated success contributing to legislative and regulatory outcomes - Have existing relationships with state and local leaders in the Midwest, including legislators, governors' offices, attorneys general, or county and municipal officials - Understand how state legislatures and executive branches work — committee processes, legislative and regulatory procedures, and how to move policy forward — and understand where local authority begins and ends - Have a track record of executing on strategic objectives and delivering measurable outcomes in government affairs roles - Are prepared to travel regularly across the region Preferred qualifications - Have 8+ years of experience in state and local government affairs, political strategy, or legislative roles - Have experience building partnerships with external organizations including chambers of commerce, economic development groups, labor organizations, and universities - Have exposure to technology policy or emerging technology regulation; understand the unique challenges of navigating policy for rapidly evolving technologies - Demonstrate understanding of how to build coalitions and identify aligned constituencies to advance shared objectives - Can manage multiple priorities and stakeholder relationships across different states and adapt to different political environments - Can work well under time pressure and manage competing demands - Can translate complex technical topics into clear, accessible language for policymakers and residents alike - Have experience working with communications teams to develop effective messaging for policy campaigns - Are comfortable being honest about tradeoffs, including in rooms where people disagree with us - Are drawn to working with an organization that approaches AI policy with intensity and intellectual honesty The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $265,000 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.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the role Our Inference business works differently from a typical software business. What we can sell is capped by GPU fleet capacity, and what we earn depends on the blended cost of the GPUs serving each workload. Both can change week to week. This role sits between the people who run the fleet and the people who sell it. You will be the person who can answer, at any point in the quarter, three questions with real numbers behind them: - What do we have to sell? - What should we sell it for? - What do we make when we do? You will own the commercial data, models, processes, and operating cadence behind these decisions, partnering closely with the Head of Digital Native Sales and serving as the commercial operating lead across Sales, Data Science, Inference Infrastructure, Finance, and Product. This is a build role. Little of the commercial infrastructure you need exists today. What you'll do Capacity and demand - Build and own an end-to-end inference demand forecast combining pipeline, contracted commitments, and consumption trends into a forward-looking view of expected demand. - Combine capacity signals with pipeline demand to show what is available to sell and surface shortages, unused capacity, and supply-demand mismatches. - Translate customer requirements into structured inputs that Data Science and Inference Infrastructure can use to assess workload impact and feasibility, and help prioritize opportunities by revenue, margin, fit, timing, and strategic value. Pricing and margin - Publish regular updates to GTM and Finance on available supply and recommended price, informed by market rates for provisioned throughput and per-token pricing. - Partner with Finance and Pricing to build rate cards, target prices, price floors, and discount guardrails GTM can act on. - Build and own margin sensitivity models showing how workload, utilization, contract structure, and discounting affect deal and portfolio economics. Data infrastructure and GTM telemetry - Build the commercial telemetry for Inference: usage, consumption patterns, expansion, churn signals, and other leading indicators of revenue. - Connect capacity and usage data with pipeline, contracts, pricing, and revenue, and build self-serve reporting that helps GTM, Finance, and leadership make capacity, pricing, and prioritization decisions. - Partner with Finance on long-range planning for Inference, connecting demand forecasts to capacity and capex planning. Core revenue operations - Own territory design, ICP definition, data-driven targeting, pipeline management, forecasting, and compensation plan design for the Inference and Digital Native segment. - Track competitive dynamics across inference providers and adjacent players, turning them into pricing and positioning input. Cross-functional leadership - Drive alignment across Sales, Data Science, Inference Infrastructure, Finance, and Product on demand, capacity, pricing, and economics. - Ensure customer demand reaches technical teams early enough to inform capacity decisions, and build a structured feedback loop from requests, adoption patterns, blocked deals, and losses into Product and Engineering. What you'll bring Required skills and competencies - Experience in revenue operations, business operations, strategic finance, or investment banking in a business where cost of goods is real and variable — cloud infrastructure, compute, telco, logistics, or similar. Pure SaaS RevOps is not a fit on its own. - Strong SQL and comfort building your own data models: raw tables to dashboard, without waiting on a data team. - Demonstrated ability to build unit economics and margin models that other functions trust and use. - Enough technical fluency to hold a real conversation with infrastructure engineers about GPUs, utilization, serving efficiency, and capacity — or clear evidence you can get there fast. - Comfort operating with incomplete data, with a bias toward shipping a rough answer this week over a perfect one next quarter. - Strong cross-functional leadership and the ability to influence technical and commercial teams without direct authority. Ideal additional skills and competencies - Familiarity with the inference market: provisioned throughput, per-token pricing, batch vs. real-time serving, and how the major providers price. - Experience with consumption- or usage-based revenue models. - Salesforce, BigQuery, and BI tooling (we use Metabase). - Having sat between a technical team and a commercial team before, trusted by both sides. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About the Team We bring OpenAI’s brand to life around the world. As a multidisciplinary creative team, we design work that connects meaningfully with local cultures, from flagship global campaigns and international events to deeply localized moments. In close collaboration with the U.S. Creative Studio, as well as global and regional marketing teams, agencies, and creators, we ensure OpenAI’s brand principles are honored, protected, and expressed responsibly everywhere people meet our products. About the Role As the Japan Creative Lead , you will lead the creative vision and execution of OpenAI’s brand in Japan. You will define how global ideas are translated, adapted, and evolved for Japan, while developing original ideas rooted in Japanese culture. You will shape creative direction, elevate craft, and ensure local relevance while protecting global brand integrity. As part of the International Creative Studio, you’ll collaborate closely with creative colleagues across OpenAI and cross-functional partners in Japan. Together with the Japan Marketing Lead, you will select and co-lead agencies in Japan, while guiding creators and production partners to deliver bold, distinctive, and world-class work that connects with local audiences. You will play a key role in shaping and evolving OpenAI’s visual identity and creative frameworks for Japan, ensuring they resonate with local audiences while remaining true to our global brand vision and principles. We’re looking for a creative leader who is conceptually strong, visually sophisticated, culturally fluent in Japan, and deeply collaborative. You can set a high bar, bring others along with clarity and inspiration, and move confidently between creative direction and hands-on work. This role is based in Tokyo, Japan. In this role, you will: - Lead creative direction for brand campaigns, marketing, digital, content, experiential, events, and partnerships in Japan, across consumer and B2B audiences - Translate global brand strategy and creative vision into culturally resonant work for Japanese audiences, developing locally originated ideas alongside global campaign adaptations - Set and maintain a high bar for concept, craft, and storytelling across all creative outputs, with close attention to Japanese language, typography, and visual expression - Partner closely with the International and U.S. Creative Studio, Japan Marketing, and cross-functional partners to align on creative direction, systems, and brand standards - Guide and mentor designers, art directors, and creative partners working on Japan, providing clear direction, feedback, and inspiration - Collaborate with Japan Marketing to turn audience insights and product capabilities into clear, locally relevant ideas and stories - Shape and evolve OpenAI’s visual systems and creative frameworks for Japan while maintaining a consistent global brand - Select and co-lead agencies in Japan together with the Japan Marketing Lead, aligning on agency partners, briefs and creative direction - Interpret strategy and briefs, identifying the core creative tension and turning it into distinctive ideas that resonate in Japan - Act as a trusted creative partner to cross-functional stakeholders in Japan, balancing ambition, cultural nuance, and brand responsibility You might thrive in this role if you: - Have a strong, distinctive portfolio demonstrating creative leadership, conceptual clarity, and exceptional craft across multiple mediums - Bring experience leading brand work in Japan, with a portfolio that demonstrates local cultural relevance and strong global brand stewardship - Have experience working within a global brand organization, bridging global creative leadership and local marketing teams. - Can interpret global creative direction through a local cultural lens, articulate nuanced consumer insights and creative preferences that may be lost in translation, and constructively navigate differing perspectives to deliver work that resonates locally while maintaining global brand consistency. - Have deep cultural fluency in Japan and a strong understanding of local audiences, language, visual culture, storytelling, and creative communities - Are equally comfortable setting creative vision and getting hands-on when needed - Have a refined design eye and a strong, well-articulated point of view - Enjoy collaborating across languages, cultures, and time zones in complex, fast-moving environments - Are an empathetic leader who elevates teams through clarity, trust, and constructive feedback - Balance creativity with strategic rigor and strong brand stewardship - Are excited by the role of creativity in shaping how transformative technology shows up in people’s lives in Japan - Have strong cross-functional collaboration skills About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in the UAE. We use a hybrid work model of 3 days in the office per week. In this role, you'll: - Manage approximately a dozen key accounts, developing and executing strategies for a comprehensive account plan - Lead our enterprise prospects’ journeys from consideration to successful deployment - Partner with solutions and research engineering to build and execute complex customer programs and projects - Own a consumption revenue target - Manage consumption revenue forecasts - Analyse key account metrics to create reports and provide insights to internal and external stakeholders - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering - Support the recruitment and onboarding of other teammates - Support the development of company culture We're seeking someone with experience including: - 5-7+ years selling platform-as-a-service and/or software-as-a-service in the UAE - Achieving revenue targets >$1M per year for more than 3 years - Designing and executing complex deal strategies - Supporting the growth of fast-growing, high-performance companies - Working directly with c-level executives - Communicating technical concepts to customers and internal stakeholders - Leading high-visibility customer events (CAB, conferences, product launches, etc.) - Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. - Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. - Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organisation. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

As Scale continues to build and develop its field marketing and events program, we are looking for a Field Marketing & Events Manager to support our Frontier Data team in their event and field marketing initiatives. You’ll plan and run a wide range of events, from research conferences to Scale-hosted executive dinners and practitioner meetups, and support our annual flagship conference, the AI Leadership Summit. You will join a rapidly growing team with the opportunity to manage and execute events from start to finish, drive lead generation, pipeline growth, and brand awareness, and plan event programming with the largest names in AI. What you’ll do - Execute end-to-end planning and logistics for executive dinners, meetups, happy hours, sponsored research conferences and trade shows, and virtual events. - Design event programs that support sales goals, pipeline growth, and deal acceleration. - Support event logistics for our annual flagship conference, the AI Leadership Summit. - Manage event budgets and relationships with event production firms, contractors, and outside vendors. - Partner with growth marketing on campaigns and MQL reporting. - Work cross-functionally with sales and engineering to define event goals, shape content, and deliver against shared KPIs. - Track event performance, measuring ROI and key metrics in Salesforce. - Work with external executives and their teams to secure speakers and support their presentation planning. What you’ll bring - 5+ years of hands-on experience in event marketing, including vendor management, booth logistics, staffing, and executive participation. - Experience fully managing and executing events ranging from small, intimate executive-level gatherings to large conferences with 1,000+ attendees. - Exceptional program management and multitasking skills, with the ability to influence and drive alignment across diverse internal teams and stakeholders. - Impeccable attention to detail and a proactive approach to troubleshooting. - Excellent written and verbal communication skills; you’ll be working with senior executives and their teams. - A strong sense of what white-glove service looks like and the attention to detail to deliver it. - A collaborative, roll-up-your-sleeves attitude, comfortable working independently and across teams and time zones. - Ability to travel up to 50%. Nice to have - Experience with HubSpot and Salesforce. - Experience planning and running executive dinners, VIP experiences, or similar high-touch events. - Experience in AI, tech, or B2B events. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $128,000 - $160,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the job Mistral builds AI systems that enterprises run on their own terms, in finance, manufacturing, defense, healthcare, and the public sector. The Solution organization turns customers' hardest problems into AI they own, run, and scale on Mistral. It is one of the fastest-growing functions in the company: 650 people by end of 2026, across EMEA, the US, and Asia-Pacific, delivering measurable business outcomes for enterprise customers worldwide. The Solution organization includes Deployment Strategists, Applied AI Engineers, Infrastructure Solution Architects, and Applied Scientists. They work with enterprise customers from pre-sales through implementation and deliver AI systems that produce measurable business outcomes. Solution Operations is the function that makes this scale. It runs staffing and capacity planning across regions, the go-to-market motion by industry vertical and capability, delivery processes and tooling, the data behind our decisions, and value and customer-success measurement, with hubs in Europe, North America, and Asia-Pacific. We are hiring a Head of Solution Operations . We are looking for an entrepreneurial COO or a former Forward Deployed Engineer with years of experience. This is a build-the-1-to-10 role: you will take a young, fast-growing function and turn it into the operating system that lets Solution scale from hundreds to thousands of people without losing what makes it work. You will lead a team of program leads and regional operators across three continents, and work as a business partner to Solutions leadership. What you will do - Own the Solution operating system end to end. One process from pre-sales to post-sales, a single source of truth for people, projects, and opportunities, the Solution tooling stack, and safety, security, and compliance built into how the team works. - Industrialize what already works. Turn delivery and vertical playbooks, staffing frameworks, and the value and ROI methodology into reusable assets the whole team runs on, and drive their adoption in every geography. - Build the global operating model. Keep core operations centralized while ensuring real adoption and the right local adaptation across EMEA, the US, and Asia-Pacific, with full-stack regional operators on the ground. - Staff demanding customer engagements. Own capacity planning and forecasting, skills-to-project matching, time-to-staff, utilization, and bench health across all geographies. - Make customer success measurable. Stand up delivery-outcome measurement and customer-satisfaction systems, and run the feedback loop that turns field learnings into product requirements and reusable IP. - Make AI-native operations the default. Build internal tools, agents, and automations that remove manual work from planning, staffing, reporting, and delivery follow-ups, starting with your own team. - Lead and grow the team. Hire, mentor, and develop program leads and regional operators, raise the technical bar of the function, and build the hiring plan for its next phase. - Partner across functions. Work daily with Solution leadership, regional Sales leadership, Product and Engineering, RevOps, and Talent Acquisition, and bring executive judgment on where to invest, slow down, or say no. How We Work in Solution - We care about people and outputs. What matters is what you ship. - The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not copying what worked before. - We say what we mean. Feedback is direct and given because we care. No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. About you Whatever your path, you bring: - Extensive leadership experience , with demonstrated impact building and leading teams or functions in a fast-scaling environment. - A track record of industrializing something handcrafted but working : processes, systems, and teams that scaled an order of magnitude without losing what made them work. - The ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution. You are hands-on and biased toward action. - Data-driven and AI-fluent : you build the internal tools, automations, dashboards, and AI workflows you rely on. - Global operating range : you work naturally across geographies and cultures, with the executive presence to hold a room with C-level stakeholders and the credibility to challenge senior leaders. - Stakeholder management : you align competing priorities and drive decisions without formal authority. - Fluent in English ; additional languages are a plus. Ideally - Experience in enterprise software, AI, or deep-tech delivery, or top-tier strategy consulting on complex technical transformations. - Experience operating at global scale across EMEA, the US, and Asia-Pacific. - Hands-on experience building AI-native operations: automating workflows with LLMs and agents rather than prompting a chatbot. - MBA or advanced degree preferred. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About the Role The Head of Business Development, LATAM will lead OpenAI’s regional BD strategy and execution. You will serve as the single-threaded point of contact for regional leadership across the full Business Development organization, setting priorities and coordinating the teams needed to deliver them. The scope includes growth (consumer and SMB), plugins and MCP, search, commerce, B2B marketplaces, and ads/monetization partnerships. You will identify priorities, originate and lead deals, manage key partner relationships, and work with global program owners on deals and initiatives across these areas. This is a senior, hands-on role based in São Paulo. As the first dedicated LATAM BD hire, you will personally lead complex deals, work closely with Product, Engineering, Finance and GTM/Sales, and build the team as resources become available. Success requires great judgment, product orientation, and consistent execution from negotiation through launch and ongoing performance. Key Responsibilities: - Own the LATAM BD plan. Agree on priorities with regional and country leadership, identify where partnerships can materially improve outcomes, and allocate effort across markets and programs. - Represent the full BD organization in the region. Coordinate with global functional and program leaders, establish clear ownership for each opportunity, and resolve dependencies and decisions. - Lead strategic partnerships and programs end to end: sourcing, structuring, negotiation, internal approval, launch, and expansion. - Develop consumer and business growth partnerships across distribution, product integrations, enterprise ecosystems, and marketplaces. Work with carriers, financial institutions, payments providers, and technology platforms. - Build regional platform and agent partnerships. Work with local services and global product teams on apps, plugins, feeds, and other integrations that expand what users can do with OpenAI products. - Partner with global BD leaders on regional opportunities and clear agreement on strategic value, product readiness, and responsibilities. - Set success measures and delivery plans with Product, Engineering, Data Science, Marketing, Finance, Legal, Policy, and GTM. Track adoption, retained usage, revenue, and partner economics as appropriate; address launch blockers and adjust underperforming partnerships. - Build senior partner relationships and regional BD coverage. Maintain a focused pipeline, communicate progress and tradeoffs clearly, and hire and develop a small team as headcount becomes available. Qualifications: - 15+ years in business development, product partnerships, product management, engineering or related roles in technology industry. - Deep operating experience in LATAM, and an understanding of commercial, cultural, competitive, and regulatory differences across markets. - Experience in a startup or high-growth technology environment, setting priorities and delivering with limited initial resources. - Strong product judgment and technical fluency, including experience working with Product and Engineering on integration scope, feasibility, and roadmap tradeoffs. - Strong negotiation and commercial judgment, with experience structuring incentives, assessing economics, and declining deals that do not meet strategic or financial requirements. - Credibility with senior executives and the ability to lead across functions, countries, and time zones without relying on direct reporting authority. - Strong analytical and communication skills: clear business cases, explicit tradeoffs, concise writing, and disciplined measurement of partnership performance. - A collaborative, low-ego working style, with personal accountability, adaptability, and reliable follow-through. - Fluent in English, Portuguese and Spanish. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a SOX Director - Compute and Infrastructure to join our Internal Audit team at Anthropic. In this role, you will lead financial risk assessment and internal control design over compute and infrastructure. This is Anthropic's largest cost and one of the most complex areas of our financial reporting. You'll focus on cloud spend, usage-based costs, vendor commitments, accruals, and cost allocation, as we scale rapidly toward an IPO. This is a unique opportunity to build SOX controls at an AI-first company, in a domain where few established playbooks exist. Compute is purchased under multi-year agreements with multiple providers, metered in third-party environments, accrued from internal telemetry, and increasingly provisioned and scheduled by automated systems and agents. You will help define how controls work in that environment for both business and IT environments, from reliance on service providers to full-population monitoring of high-volume usage data, while maintaining the rigor required for public company compliance. As the SOX Director, Compute and Infrastructure, you will own scoping, control design, testing, remediation, and reporting for compute and infrastructure processes, partnering directly with Compute Accounting, Finance Analytics & BI, Infrastructure Engineering, Finance & Strategy, and Procurement to design scalable controls, oversee documentation, and support communication with external auditors. This role reports to the Head of Business Controls and plays a critical part in strengthening internal control maturity through pre-IPO readiness and beyond. Key responsibilities - Lead financial risk and internal control design for compute and infrastructure accounting, including cloud spend, usage-based costs, vendor commitments, credits, refunds, accruals, cost allocation, budgeting, and asset lifecycle management - Develop and execute the SOX control plan and roadmap for compute and infrastructure, making defensible prioritization calls on what must be controlled now and what can follow - Own scoping, risk assessment, walkthroughs, testing, remediation, and reporting activities for compute and infrastructure processes - Build scalable, automated, and sustainable controls to support growth through pre-IPO and post-IPO readiness - Pioneer the use of AI and automation to enhance control effectiveness, including full-population matching of usage to invoices, continuous monitoring, and anomaly detection - Design, implement, and monitor controls over the completeness, accuracy, and cutoff of compute cost, including monthly accruals built from internal workload telemetry and the true-up to provider invoices - Establish controls over multi-year provider agreements, including reserved capacity, minimum spend commitments, usage-based charges, signing credits, service-level credits, refunds, and billing corrections - Design and test controls over the allocation of compute cost between cost of revenue and research and development, including workload tagging, shared clusters, and changes to tagging logic or allocation models - Establish the investigation threshold and variance criteria used in the control design to ensure the precision needed to detect a material misstatement - Design and test controls over infrastructure related control inclusive of development of an asset lifecycle management system - Oversee control documentation and ensure audit-ready evidence is maintained for all compute and infrastructure processes, in compliance with US GAAP and SEC reporting requirements - Own control requirements across high-volume financial data pipelines, partnering with Finance Analytics &BI, Finance & Strategy, and Accounting to validate completeness, accuracy, classification, general-ledger mapping, key reports, and monthly close governance - Own the identification and control treatment of key reports and Information Produced by the Entity (IPE) used in compute accruals, allocation, and the close - Partner with IT SOX and engineering teams on the IT general controls and automated controls that support compute data, including interface, ITAC’s, and change management over pipelines and models - Embed control requirements into new systems, pipelines, and process changes at design time - Lead the assessment of reliance on cloud providers that meter and bill compute, including review of SOC 1 reports, scope and period coverage, bridge letters, and exceptions or qualified opinions - Define and monitor complementary user entity controls, and design alternative procedures where a provider report is missing, does not cover the relevant system or period, or includes exceptions - Assess how the use of AI in Finance and in the close changes what controls need to cover, and update the control environment accordingly - Partner with Compute Accounting, Finance Analytics & BI, Infrastructure Engineering, Procurement, and Finance & Strategy to implement scalable controls over compute and infrastructure - Work with the Compute Controller and Chief Accounting Officer organizations to align control priorities with business objectives - Train and enable process owners and control performers, many of whom are new to SOX, on control execution, evidence retention, and what audit-ready means - Support management's assessment of internal controls over financial reporting (ICFR) and related disclosures - Serve as the primary point of contact for external auditors on compute and infrastructure SOX matters - Prepare the Company's formal positions on control design, provider reliance, and deficiency evaluation for compute and infrastructure - Manage audit requests, coordinate testing schedules, and facilitate walkthroughs across compute and infrastructure processes - Track and report on control status, testing results, and remediation to leadership - Drive alignment with external auditors on testing approaches, reliance strategies, and deficiency evaluation and aggregation assessment Minimum qualifications - Have designed controls over cloud, compute, or infrastructure cost, or over a comparable high-volume, usage-based process, and understand control objectives, IPE, and sufficiency of audit evidence - Have proven ability to establish or scale SOX controls at newly public or pre-IPO companies - Possess deep understanding of compute accruals, vendor commitments, cost allocation, financial close, and US GAAP requirements - Have experience evaluating service organization reports (SOC 1 and SOC 2) and complementary user entity controls - Are comfortable working with large datasets and data pipelines, and partnering with data science and engineering teams - Can structure ambiguous control problems and influence across stakeholders without direct authority - Have strong project management, analytical, and communication skills - Hold a Bachelor's degree in Accounting, Finance, Business Administration, IT/Engineering - Are passionate about building scalable processes that support organizational growth and Anthropic's mission to create safe AI Preferred qualifications - Have 12+ years of hands-on SOX, internal audit, or internal controls experience, preferably in both Big 4 and in-house roles at a fast-paced technology company - CPA (or similar certification) and/ or CISA - Familiarity with cloud provider billing and commitment structures (AWS, GCP, Azure) - SQL and comfort working directly with usage, telemetry, and cost data to validate what the systems are telling you - Experience with controls over cost of revenue, gross margin reporting, and allocation methodologies - Interest in or experience applying AI/ML technologies to audit, compliance, or risk management processes - Understanding of lease accounting (ASC 842) and other accounting standards relevant to infrastructure and capacity arrangements - Experience working at a high-growth AI or technology company - Familiarity with financial data governance, internal controls over financial reporting (ICFR), and SEC disclosure requirements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.

About the Team OpenAI’s Education team is building products and programs that advance how people learn with AI. We work across students, educators, institutions, and education communities to help people use AI thoughtfully and effectively. About the Role We’re looking for an Education Content Marketing Lead who combines exceptional editorial and curriculum judgment with strong content-marketing instincts, a builder’s mindset, and an engineer’s approach to scale. You’ll create high-quality content and the systems that move it from idea to published asset quickly and consistently. This is a hands-on role spanning long-form editorial, curriculum, video, visual content, channel strategy, and content operations. You’ll turn strategic briefs and expert input into useful work for students, educators, institutional leaders, and education communities; grow the channels that reach them; and use data to improve both the content and the engine behind it. Education needs a coherent, measurable content engine across audiences, formats, and channels. This role will turn fragmented requests and one-off production into a prioritized portfolio, reusable workflows, dependable creative capacity, and education-specific channels that compound over time. The goal is not simply to produce more content, but to create work that earns attention, supports learning and engagement, and improves through evidence. In This Role, You Will - Build and continuously improve a scalable content operating system spanning intake, prioritization, resourcing, production, review, publishing, versioning, and reuse. - Apply an engineer’s mindset to map dependencies, remove bottlenecks, automate repeatable work, create modular templates and playbooks, and maintain clear quality standards. - Maintain a single source of truth for the roadmap, editorial calendar, briefs, source material, production status, approvals, assets, and metadata. - Produce and edit content across formats, including long-form articles, blogs, case studies, web and email copy, social posts, educator stories, GIFs, images, and carousels. - Develop practical curriculum and professional-learning resources, including lesson plans, educator guides, AI literacy materials, decks, and train-the-trainer content. - Lead video development from concept through final cut, including story development, scripting, structural editing, interview preparation, and oversight of production and post-production partners. - Own and grow education-specific channels across social, email, websites, and blogs through clear audience strategies, editorial plans, and consistent publishing programs. - Set ambitious growth and engagement goals, define measures of content quality and efficacy, instrument tracking, analyze performance, and use experiments to improve results. - Turn goals and expert input into clear briefs, plans, timelines, and review paths in partnership with Content, Customer Education, Design, Marketing, Product, Research, Policy, Safety, Sales, Partnerships, and Customer Success. - Scale production by sourcing, onboarding, and managing a flexible bench of writers, editors, curriculum developers, designers, video partners, agencies, and other vendors. You Might Thrive In This Role If You - Have significant experience in content production, content marketing, editorial leadership, curriculum development, instructional design, or creative production. - Bring a strong portfolio demonstrating excellent writing and editing across long-form editorial, curriculum or professional learning, video, social, and visual content. - Have built or materially improved content systems, workflows, templates, governance, tooling, automation, or publishing operations. - Have owned digital channels and used audience and performance data to set ambitious growth goals, design experiments, and deliver measurable results. - Are a strong video storyteller, with experience in scripting, structural editing, interview preparation, and collaboration with production and post-production specialists. - Can turn ambiguous, cross-functional input into clear requirements and polished work while sequencing priorities across multiple workstreams. - Have experience sourcing and onboarding external partners and are fluent with content-management, digital-asset-management, project-management, analytics, and automation tools. Nice To Have - Experience working in education, edtech, AI, or another technical field. - Experience creating both curriculum or professional-learning resources and audience-facing marketing content. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We are seeking a talented and experienced Research Engineer to join our newly forming Search and Services Platform team within Research Platform. You will build and operate the large-scale search and services that our models rely on as tools — from self-hosted, web-scale, search indexes to knowledge graphs and databases served through MCP. You will work closely with researchers and with the pretraining data, sandbox and data platform teams to make these services reliable, scalable and fast, on infrastructure measured in hundreds of terabytes of NVMe storage and thousands of CPU cores to support both data generation and critical training runs. What you will do As a Research Engineer on the Search and Services team, your responsibilities will include (but may not be limited to): - Designing, building and operating large-scale search infrastructure: self-hosted Vespa clusters indexing web-scale corpora, managed indexes for smaller corpora, and vendor search endpoints. - Self-hosting and maintaining a wide range of structured data sources — knowledge graphs (Wikidata, UniProt, Materials Project), scholarly data (OpenAlex, OpenAIRE), statistical databases (Eurostat, World Bank, IMF, OECD), open data portals and more. - Designing interfaces and tools to expose to the models and agents to use the services in different ways (direct YQL or SPARQL queries, or more refined and constrained MCPs to mimic external services) to support data generation and agentic training. - Building the data pipelines that ingest, index and serve massive datasets, including indexing our own pretraining corpora for exploration, deduplication and eval-leakage checks. - Building strong relationships with researchers and adjacent teams (pretraining data,, sandbox, data platform), understanding their workflows and enabling them to achieve more by leveraging your expertise. - Communicating and producing documentation or any content that will help teams make the most of the services you'll build. About you - 5+ years of successful experience in search engineering, data infrastructure, or a similar SRE / platform role. - Proficiency in software development (Python, Go...) and programming best practices. - Hands-on experience with large-scale search or data systems (e.g. Vespa, Elasticsearch / OpenSearch, ClickHouse or similar). - Exposure to site reliability engineering: root cause analysis, in-production troubleshooting, on-call rotations...) - Exposure to infrastructure management: containerization, orchestration (Kubernetes), infra-as-code, monitoring, logging, alerting, observability...). - Experience designing and operating data pipelines that address large amounts of data. - Excellent problem-solving and communication skills (ability to contextualizing, gauging risks and getting buy-in for high stakes and impactful solutions). - Ownership, high agency and constantly seeking to learn and improving things for others. - Autonomous, self-driven and able to work well in a fast-paced startup environment. - Low ego and team spirit mindset. - Your application will be all the more interesting if you also have: - First-hand Vespa (or equivalent large-scale information retrieval) experience. - Experience building or operating MCP servers / tool-serving infrastructure for LLMs. - Familiarity with knowledge graphs, RDF / SPARQL, or large structured databases (PostgreSQL, ClickHouse, DuckDB...). - Experience with large bare-metal infrastructure or HPC environments. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an Enterprise Account Executive, Industries - BFSI to pioneer Anthropic's enterprise AI adoption across India's banking, financial services, and insurance sector. You will build our presence from the ground up, securing transformative deals with leading banks, NBFCs, insurers, and fintechs, and establishing Anthropic as their trusted AI partner for digital transformation. You will navigate the complex, regulated environment of Indian financial institutions and position Claude as the AI solution that drives both efficiency and innovation while maintaining the highest standards of safety and reliability. As one of our first industry specialists in India, you will shape our BFSI go-to-market strategy and build the playbook for how Anthropic serves financial institutions, working closely with global teams while adapting our approach to local market dynamics. This position is based in Bangalore, Mumbai, or NCR, with travel across India. Key responsibilities - Establish Anthropic's enterprise presence across India's BFSI sector, including public and private sector banks, NBFCs, insurers, asset managers, and fintechs - Develop BFSI-specific strategies that account for RBI, IRDAI, and SEBI requirements, data localization needs, and sector compliance standards - Build relationships with key stakeholders, including CXOs, Chief Risk and Compliance Officers, digital transformation leaders, and innovation heads at India's top financial institutions - Create the India BFSI playbook for enterprise AI adoption, documenting successful approaches that can scale across the region - Own end-to-end sales cycles for complex, multi-stakeholder enterprise deals, often involving board-level decisions - Drive strategic expansion within lighthouse accounts that can serve as references for the entire BFSI industry - Navigate procurement processes unique to Indian financial institutions, including vendor risk assessments, rate contracts, empanelment procedures, and multi-year agreements - Collaborate with system integrators and consulting partners who often influence technology decisions at banks and insurers - Co-innovate with customers to develop BFSI use cases, from vernacular customer service and fraud detection to credit underwriting and automated compliance reporting - Understand sector-specific challenges such as financial inclusion, legacy core banking modernization, and data security in regulated environments - Position AI strategically within the context of Digital India initiatives and financial sector modernization programs - Ensure successful deployments that can scale from proof-of-concept to enterprise-wide implementation - Partner with global product teams to prioritize features critical for Indian financial institutions, such as multi-language support, data residency, auditability, and integration with local systems - Collaborate with legal and compliance teams to navigate India's evolving AI and data protection regulations - Provide market intelligence on competitive dynamics, pricing expectations, and emerging BFSI use cases unique to India - Build internal alignment between Anthropic's global strategy and India's market requirements Minimum qualifications - 15+ years of enterprise sales experience in the Indian market, with a proven track record of closing large, complex deals, ideally across BFSI sector - Deep understanding of how Indian financial institutions operate, including decision-making processes, budget cycles, and stakeholder dynamics - Experience selling transformational technology (Cloud, AI/ML, Digital Transformation platforms) to Indian enterprises - Established relationships with senior executives across banks, NBFCs, insurers, or fintechs - Understanding of the Indian regulatory landscape, including RBI, NSE, IRDAI, and SEBI requirements, data protection laws, and sector-specific compliance - Consultative selling expertise, with the ability to position AI as a strategic business driver rather than just a technology solution - Complex deal structuring experience, including multi-year contracts, phased deployments, and outcome-based pricing - Technical acumen to engage credibly with CTOs, architects, and data science teams - Cross-cultural communication skills to work effectively with both Indian stakeholders and global teams - Entrepreneurial mindset and the ability to build a market from scratch with limited local resources initially - Patient yet persistent approach to long enterprise sales cycles, while maintaining momentum Preferred qualifications - Experience selling directly into large Indian banks, insurers, or financial conglomerates - Relationships with Indian system integrators such as TCS, Infosys, Wipro, and HCL, particularly their BFSI practices - Familiarity with Indian business groups and conglomerates, and how decisions flow within these complex organizations - Track record of first-in-market roles or launching new products in India - Domain expertise in areas critical to Indian financial services, such as UPI payments, core banking systems, KYC/AML compliance, Aadhaar integration, or insurance underwriting - Knowledge of government initiatives such as Digital India and their impact on financial sector technology adoption - Experience navigating public sector bank and PSU sales processes is a plus 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.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Vendor Admin Lead to own vendor master data for our global Finance Operations team. Reporting to the Director of Global Accounts Payable, you will be the single point of accountability for who our vendors are and get paid: onboarding, bank-detail verification, supporting documentation vetting, data quality and the controls around all of it. Anthropic's vendor base is growing quickly across the US, Europe and Asia-Pacific, and a clean, verified vendor data is what keeps a fast-growing company scale with the necessary controls. This role is deliberately separate from invoice processing and payments. You will control vendor records and bank details; you will not book invoices or move money. That separation is the point of the role, and you will own the SOX controls that enforce it and help design the access model that keeps it that way. This is an opportunity to build a vendor-master function from the ground up and leverage process automation with Claude while supporting the team making AI safe. Responsibilities Supplier onboarding - Run intake for every new vendor and payee: validate completeness, collect and verify supporting documentation, and enable records in the ERP backbone system against agreed service levels - Validate supporting documents; set 1099-reportable and tax flags correctly - Confirm third-party risk and restricted-party screening before activation - Set up one-time and non-vendor payees with the right record type rather than forcing them through full onboarding - Partner with TPRM and IA teams on control requirements and continuous process improvement - 1099 annual reporting Bank details and fraud prevention - Own every bank-detail setup and change; validate against a bank letter on letterhead or an approved equivalent (void checks, etc.) - Run independent callbacks per policy using contact details sourced independently of the request, and record the evidence - Validate international bank formats and addresses (IBAN, SWIFT/BIC, ABA, SEPA, BSB, IFSC, Japanese bank/branch codes) - Identify and escalate business-email-compromise attempts and other payment-fraud red flags Data quality and maintenance - Maintain vendor structure: parent/child and remit-to relationships, entity and country records, contacts and payment terms - Lead vendor consolidation: eliminate duplicate vendors and bank accounts, execute merges and inactivations in batched, logged, reviewed changes - Run periodic health reviews for dormant vendors, stale bank letters, missing tax forms and incomplete records; drive 1099 and TIN readiness for year-end - Own periodic vendor deactivation campaigns Controls and audit - Own the vendor-master SOX controls as the named control owner: maker-checker on every create and change, change-log review, evidence retained on every record - Prepare the periodic review of bank-detail changes paid, and address Internal Audit and external auditor requests - Partner with Finance Systems to design and maintain ERP security roles so vendor master, invoicing and payments stay separated - Flag any suspicious vendor set-up activity through the appropriate channels Process, systems and improvement - Own vendor-master documentation, intake checklists, requester guidance and service levels - Serve as the vendor-data expert through process migrations, including data conversion and post-migration fixes - Partner on automation: AI-assisted intake validation, document extraction, bank-format checks and a vendor self-service portal - Report monthly on onboarding volume, cycle time, bank changes, exceptions and data quality, and use the data to improve the process Minimum qualifications - 7+ years in vendor master or AP operations with 3+ years of ownership - Owned a vendor master in an ERP end to end — process, controls and data — across multiple entities and countries - Hands-on experience verifying bank details and preventing payment fraud: bank letters, independent callbacks, BEC red flags, international bank formats - Experience with vendor tax documentation: W-9/W-8 validation, TIN matching, VAT/GST IDs, 1099 flagging - Working knowledge of procure-to-pay controls — segregation of duties, maker-checker, change logs, audit evidence — and have performed or owned a SOX control - Led a vendor data cleanup, consolidation or ERP migration and can show the outcome - The confidence to hold the line with requesters, vendors and senior stakeholders under time pressure while staying clear and helpful - Strong Excel or Google Sheets skills with large datasets (dedupe, lookups, reconciliations) and exceptional attention to detail Preferred qualifications - Workday Financials vendor management, and experience with Zip, Coupa or a similar procure-to-pay platform - SOX experience at a public company or one preparing to go public - Experience supporting APAC and EMEA vendors in a high-growth, multi-entity company - Experience designing or reviewing ERP security roles with a systems team - Comfort using AI tools to automate validation, follow-ups and reporting The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.

About the Team OpenAI Presence, part of Enterprise Engineering, builds a platform for reliable AI agents that carry out high-volume business workflows. We focus on specific use cases such as customer support, sales, and insurance claims, helping organizations put agents to work in production. The Presence platform supports the agent development lifecycle, including evaluation, deployment, and improvement through real interactions. It connects agents to company systems and supports voice and chat experiences, with policies, guardrails, and human handoffs to help businesses stay in control. Read the launch announcement . About the Role We’re looking for an engineer to help shape the foundations of Presence and build the systems that make AI agents dependable in everyday business operations. You’ll help set the platform’s technical direction while staying close to the code, taking architecture from early decisions through to systems that perform reliably at scale. You’ll bring deep backend expertise and the product judgment to connect what we build with how businesses use it. The work centers on the services that power Presence and extends across the stack—giving you scope to shape both the underlying systems and the experiences they enable. In this role, you will: - Provide hands-on technical leadership, guiding architectural decisions and implementation across the Presence platform. - Design and build backend systems for reliable, high-volume agent workflows in support, sales, and other enterprise use cases. - Develop platform capabilities that support agent development and learning from real-world use. - Identify and address reliability bottlenecks as agent workflows become more complex and usage grows. - Work across backend infrastructure and product experiences as needed, collaborating with other engineers to turn evolving requirements into working software. Your background might look something like: - 9+ years of professional engineering experience, excluding internships, in backend, platform, or product engineering roles. - A track record of hands-on technical leadership, including setting architecture, breaking complex problems into clear implementation plans, and guiding engineers through delivery. - Deep backend engineering and systems design skills, with proficiency in at least one backend programming language and experience designing services, data models, and interfaces that remain reliable as usage grows. - End-to-end ownership of complex systems or product capabilities, from ambiguous requirements and technical design through implementation, launch, and production iteration. - Strong production engineering judgment: you can diagnose difficult failures, reason about performance and scalability, and improve reliability through testing, observability, and operational discipline. - Strong product judgment that connects technical decisions to user needs, with the ability to balance delivery speed, reliability, security, and long-term maintainability. - The ability to move between backend infrastructure and product experiences, contribute across the stack when needed, and quickly learn unfamiliar systems, tools, and domains. - Clear technical communication and effective collaboration across disciplines, including explaining trade-offs, creating alignment, and driving complex work forward while remaining hands-on. - Experience with AI agents, enterprise workflows, integrations, or agent development and evaluation is a plus, but not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role We're hiring an Executive Assistant to support our Japan President. This is a high-impact role focused on enabling clarity, efficiency, and execution across a fast-moving go-to market organization. The ideal candidate is highly organized, an excellent business writer, and confident enough to actively manage competing priorities across complex calendars and workflows. What you'll do: Calendar & Meeting Management - Own complex scheduling across multiple senior leaders and stakeholders - Prioritize ruthlessly to ensure time aligns with business impact - Push back when needed to protect focus and optimize leadership bandwidth Travel & Expenses - Coordinate domestic and international travel logistics - Manage expenses through Ramp with accuracy and timeliness Business Writing - Draft, edit, and refine internal communications, presentations, and leadership updates - Help leaders articulate strategy, summarize meetings, and drive follow-ups - Bring structure and clarity to ambiguous inputs and fast-moving discussions GTM Operating Rhythm Support - Help keep key meetings, planning cycles, and cross-functional touchpoints on track - Partner closely with Recruiting to ensure interview days run smoothly and efficiently - Support offsite planning for the GTM teams, including venue sourcing, hotel contract negotiations, and travel coordination - Oversee event catering and restaurant reservations, managing budgets and vendor relationships to deliver seamless team-building experiences You could be a fit if: Core Experience - 6+ years of experience in an Executive Assistant or similar role - Experience supporting senior leaders in a fast-paced, tech-forward environment Skills & Traits - Exceptional business writing skills - Strong judgment and prioritization: knows what matters and acts accordingly - Assertive and confident; willing to push back to improve outcomes - Highly organized with strong attention to detail - Fluency in both Japanese and English languages Working Style - Slack-native and comfortable operating in fast, async environments - AI-forward: uses modern tools (e.g., ChatGPT, Notion AI) to move faster and produce higher-quality work - Growth mindset with a willingness to continuously improve systems and processes Nice to Have - Experience supporting go-to-market (Sales, CS, RevOps, or Field Engineering) teams

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the role The ways customers buy from us are multiplying as fast as the business is growing. Enterprise order forms. Private offers through AWS, GCP, and Azure. A self-serve business running on usage-based pricing, with commits, drawdowns, and true-ups behind it. Each one is a distinct path from signature to cash, and each one runs today on some mix of manual steps and automation that grew up with the business. This role owns what comes next. You'll run order operations end to end - booking, provisioning, invoicing, amendments, and renewals - on a stack we picked deliberately and recently: Salesforce, Metronome for metering and billing, Rillet for ERP. The stack is modern, but the processes on top of it were built to keep up with growth, not designed to scale. Your job is to decide what each one should become: keep it, rebuild it, automate it, or retire it. Our bias is to invest in systems rather than in a growing queue of manual work, so you'll be setting the automation roadmap at the same time you're operating the function - deciding what a person should touch, what a workflow should handle, and what should never have been a step in the first place. Getting that right is what lets order volume grow by an order of magnitude without ops growing with it. This is a senior individual contributor role. You'll own order operations, working closely with Deal Strategy and Operations, GTM Systems, Finance and Accounting, and Enterprise Engineering. Those teams are your partners and much of your build capacity. Bringing them onto one shared order-to-cash roadmap is a core part of the job, and the reason we're hiring someone senior to do it. What you'll do - Own the order-to-cash path end to end: order form intake from Deal Desk, booking in Salesforce, plan and entitlement setup in Metronome, invoicing and revenue recognition through Rillet, and the amendments, true-ups, and renewals that follow - Build out cloud marketplace operations across AWS, GCP, and Azure: private offer setup, usage reporting to each marketplace, and reconciling marketplace disbursements back to what we billed. Every new channel launches against defined readiness criteria, so marketplace deals run on the same clean path as direct ones - Own self-serve billing operations: usage metering, plan changes, dunning, credits, rebills, refunds, and the escalations behind them - Own billing and usage completeness at month-end close. Every order, credit, and metered event is reconciled between Metronome and Rillet before revenue is recognized, not after - Partner with Deal Strategy and Product as our pricing evolves. Bring the billing view into pricing and deal-structure decisions early, so new models and non-standard terms can be billed accurately and automated, not handled by hand - Set the automation roadmap. Instrument the path, put a number on every place a human touches an order, and decide what gets automated, what gets designed away, and what stays manual on purpose - Treat every billing error as a defect: find the root cause and fix the class of problem, not just the one invoice - Ship automations yourself where that's fastest, and partner with GTM Systems and Enterprise Engineering where the work belongs in core systems or the product - Write the playbook and the controls behind it: approvals, segregation of duties, reconciliations, and exception handling, built so order ops scales through systems rather than headcount and holds up under audit - Own three numbers and move them: touchless order rate, signature-to-provisioned cycle time, and billing accuracy What we're looking for - 6+ years in order management, order-to-cash, billing operations, or revenue operations at a B2B SaaS company, including time building the function at an early-stage or fast-scaling one - Hands-on fluency with a modern billing and ERP stack. We run Salesforce, Metronome, and Rillet - you should know something comparable well enough to have opinions, and get to depth on ours quickly - Real experience with usage-based pricing. Per-seat is straightforward; metered consumption, commits, drawdowns, overages, and true-ups are where order ops gets interesting, and that's most of our business - Working knowledge of ASC 606 and month-end close. You don't need to be an accountant, but you should know what Revenue Accounting needs from billing data and why - Cloud marketplace experience (AWS, GCP, or Azure private offers), or a track record of getting deep on a system like that fast - A history of automating your own job. We'll ask you to walk us through a manual process you deleted: what it cost before, what you built, and what it costs now - The ability to build alignment across teams with different priorities and get to a decision, without relying on org authority - Comfort shipping a v0 earlier than feels comfortable, then iterating with real feedback Nice to have - SQL, Python, or low-code tooling in your own hands rather than on someone else's backlog - Experience building agents or LLM workflows for internal operations. We'd like to run more of our own back office on the LangSmith Platform, wherever it's the right tool and meets the same accuracy bar as the rest of order-to-cash - Audit prep or SOX readiness experience Compensation: $155,000 - $185,000 salary + options Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. About the Role *Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle Strategic Finance is a high-visibility, high-impact role embedded in the decision-making core of the company. You will serve as a crucial partner to our executive, R&D, and GTM teams, owning the financial modeling and analysis that drives our core product and research strategy, optimizes our GTM engine, and informs critical operational decisions. This is a role for someone who has done this inside a fast-growing company before. You bring that operating judgment alongside analytical rigor, strong communication, and the curiosity to thrive at the frontier of generative AI. You’ll work closely with our CFO and Head of Strategic Finance, and partner directly with the executive team and cross-functional leads. What you’ll do - Partner deeply with Product, Research, and Engineering leadership to evaluate the financial ROI and viability of new product lines, features, and R&D investments. - Drive pricing and packaging strategies that maximize market penetration and revenue expansion. - Collaborate with Sales and Marketing leaders to analyze and optimize unit economics (LTV/CAC, payback periods), sales efficiency, pipeline health, and customer retention. - Act as the analytical engine for the executive team by leading cross-functional initiatives to improve operational efficiency, optimize resource allocation, and scale business processes. - Translate operational plans into financial models, identify risks and opportunities, and hold teams accountable to KPIs. - Own the KPI infrastructure that connects product and revenue metrics to financial outcomes, ensuring accuracy, timeliness, and a consistent narrative across all reporting. What you’ll need - 7+ years of experience, including foundational analyst experience in investment banking or financial services, and high-impact operating experience in Strategic Finance, BizOps, or Corporate Finance at a high-growth technology company. - Experience building and leveraging AI tools for yourself and for cross-functional use. - A track record of operating through rapid scale: building and evolving financial models, planning processes, and reporting as a company’s complexity grows. - Strong fundamentals in financial modeling with a rigorous and quantitative approach to measuring operational success. - Exceptional communication skills with the ability to distill complex financial concepts into simple, digestible narratives for non-financial stakeholders. - You have a high bar for operational excellence and a keen sense of how to translate complex, ambiguous business questions to a clear plan of action. - A genuine interest in AI and its implications for industry and society Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Legal team We're building the infrastructure that democratizes access to intelligence. By serving state-of-the-art models to enterprises and advancing open source, we enable organizations to truly own their own intelligence. Our legal team exists to make that mission possible, responsibly and at scale, because we believe broad access to AI is one of the most consequential things we can build for society. Our legal team is defined by high integrity, high character, and high trust. We're low-ego, collaborative, kind, and supportive people who are genuinely excited to be part of a team. We win together or not at all. About the role As Employment Counsel, you'll be a foundational member of our growing legal team, owning the employment and labor matters that come with building and scaling a fast-growing company. You'll join at a pivotal moment as we rapidly scale our team and serve as the go-to legal partner for our People and HR organization. This is a build-from-the-ground-up role for someone who's navigated hypergrowth before and knows how to keep a scaling workforce both well-supported and well-protected. This role reports to the General Counsel. What you'll do. - Advise on the full range of employment and labor matters: hiring, terminations, classifications, leaves, accommodations, investigations, and policy. - Partner closely with HR and People Operations as a trusted, day-to-day legal advisor. - Counsel on employee equity and compensation considerations. - Build scalable employment policies, templates, and processes suited to a rapidly growing, multi-state workforce. - Support international expansion and advise on cross-border employment and global labor law compliance as we grow our footprint beyond the US. - Manage employment-related disputes and coordinate specialist outside counsel where needed. - Keep us ahead of the compliance obligations that come with fast headcount growth. What we're looking for. - 9+ years of in-house employment and labor law experience. - A JD and membership in at least one US state bar. - Prior startup experience, ideally in a hypergrowth environment. - A track record of close collaboration and strong partnership with HR and People Operations teams. - Familiarity with employee equity and compensation considerations. - Experience supporting international expansion and navigating global employment laws. - A pragmatic, build-from-scratch mindset and the judgment to balance risk with business velocity. - AI-forward, builder’s mindset, with a demonstrated ability to use AI tools to streamline daily workflows and accelerate efficiency. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, market data, and work location. Fireworks AI is an equal-opportunity employer. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

About the Team OpenAI builds powerful AI systems like ChatGPT, the OpenAI API, and enterprise products that serve millions of users across the globe. As we scale, securing our infrastructure, protecting sensitive data, supporting employees’ velocity, and meeting global compliance standards are essential to our success and societal impact. Security at OpenAI is a cross-cutting organization that includes Security, Privacy, IT, GRC, Corporate Security, and other teams. Program Managers play a critical role in aligning teams and delivering execution at scale. About the Role We’re seeking a Program Manager to build and own programs that span OpenAI’s Security organization, with a core focus on Mergers & Acquisitions. You will work across domains from diligence through Day 1 readiness, integration, onboarding, and transition to ongoing ownership. You will also apply what you build to other priorities that span Security teams. You will learn how work actually moves between teams, spot gaps and unclear ownership, and build practical systems that make complex transitions easier to execute. This role is deeply cross-functional and execution-focused. It requires a structured operator who thrives in ambiguity, partners effectively across boundaries, and applies principled judgment to drive programs at speed from initial planning through durable handoff. You will use AI and automation to reduce repetitive work and help teams operate at greater scale, while applying sound judgment to sensitive information and consequential decisions. In this role, you will: - Own Security & IT M&A programs, including supporting System Operations and other engineering teams in defining and performing timely diligence assessments, and scoping, planning, and executing acquisition integrations. Carry the work through Day 1 readiness, onboarding of people and systems, post-close priorities, and handoff to ongoing owners. - Partner with Corporate Development, IT, Infrastructure, Application, Legal, Privacy, Security, GRC, Corporate Security and other teams to understand cross-functional requirements and navigate tradeoffs. Make responsibilities and decision rights clear while bringing in the right experts for technical and risk judgments. - Learn partner teams’ workflows and identify missed dependencies, bottlenecks, duplicated effort, and risks that could slow an integration or weaken its outcome. Address recurring problems at their source. - Establish scalable frameworks and processes to support core programs, including defining durable program goals and core measures of success. Build useful intake paths, playbooks, onboarding checklists, decision points, and handoff standards that teams adopt in practice. - Use AI and automation to organize information, surface gaps, improve documentation, route work, and track follow-through, with appropriate handling of sensitive information and human review of risk decisions. - Create and maintain program-level visibility across deals, risks, milestones, and dependencies, ensuring program outcomes are delivered reliably and at high quality. Measure whether the work improves readiness, reduces manual effort, closes risks, and makes future transitions more predictable. - Communicate status, risks, tradeoffs, and decisions clearly to technical and executive audiences and drive cross-functional execution with urgency and care. - Own additional programs that span Security and IT as organizational priorities evolve, applying and improving the systems built through the M&A portfolio. You might thrive in this role if you: - Are an empathetic communicator and leader who is able to influence a variety of cross-functional and executive audiences, and build durable trust with partners. - Have 5+ years of experience leading complex cross-functional programs, with a proven record of successful partnership in security, IT, infrastructure, privacy, trust, product risk, or other technical domains. - Have carried programs from an ambiguous starting point through execution and lasting ownership. - Have built a new program, workflow, or operating model yourself and can show how you earned adoption and improved results. - Are curious about how teams work in practice and can find the underlying issue behind a missed handoff or recurring exception. - Have used AI or automation to improve a real workflow and can explain what changed, how people adopted it, and where human judgment remains necessary. - Have experience in Mergers & Acquisitions or related areas. - Thrive in high-trust environments, bring rigor and systems thinking to ambiguity, and operate with a bias for aligned execution over org boundaries. - Are structured, detail-oriented, and rigorous in ensuring quality, accountability, and durable delivery. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team OpenAI's mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. The Global Affairs team builds trusted relationships that help external stakeholders understand advanced AI and ensure that their perspectives inform our work. Within Global Affairs, the National Security Policy team works across OpenAI to understand how increasingly capable AI systems affect security, governance, and democratic resilience, and to advance policies that support the responsible development and use of AI. About the Role OpenAI is seeking a highly organized and skilled Program Manager, National Security Policy Operations to join the Global Affairs team, reporting directly to Sasha Baker, who leads the National Security Policy team. This is a hands-on program management role focused on running the planning, coordination, and execution systems that enable the team to operate effectively. This person will translate team priorities into executable plans, synthesize data and inputs into clear program updates, manage key programs and workstreams, and create the operating discipline that keeps decisions, dependencies, and follow-through on track. This role sits at the center of the National Security Policy team's planning, prioritization, information flow, and execution. Success means giving the team clear visibility into commitments, dependencies, decisions, and risks; reducing fragmented operational work; enabling faster and better-informed decisions; and ensuring priorities move reliably from scoping through completion. The ideal candidate takes deep pride in program management as a craft and is energized by enabling policy and technical experts to do their best work. The role works closely with policy experts but is not primarily responsible for setting policy positions or serving as the team's external policy lead. This role may be based in San Francisco or Washington, DC. It will require travel as necessary, and we offer relocation assistance to new employees. Key responsibilities include: - Run portfolio planning and team operations, including intake, workplans, milestones, owners, dependencies, risks, and progress reporting. Surface capacity constraints, recommend sequencing and tradeoffs, and escalate decisions to the team lead, who sets priorities and makes resource decisions. - Build and maintain lightweight, repeatable operating systems for planning, meeting cadences, knowledge management, decision logs, and centralized tracking of developments, commitments, and follow-up. - Own the team's program metrics and central tracking of commitments, owners, deadlines, dependencies, decisions, and follow-up. Keep records current and reliable, and produce concise updates and practical dashboards that make progress, risks, and decisions clear to policy leaders. - Coordinate policy deliverables and external engagements from planning through follow-up. Assemble briefing packages; draft talking points, presentations, readouts, and updates; organize visits and convenings, including logistics; manage review cycles; and track action items through completion, with substantive input and approval from policy leads. - Own operational management of the team's contractors and consultants, coordinating onboarding, scopes of work, deliverables, contract renewals, invoices, and offboarding with Legal, Finance, Procurement, and other relevant teams. Track commitments and performance against agreed deliverables, and flag issues requiring the team lead's decision. - Coordinate across Global Affairs, Research, Safety, Security, Product Policy, Legal, Communications, and OpenAI for Government to manage dependencies, surface decisions, and advance shared priorities. - Continuously improve the team's operating model through feedback loops, retrospectives, and thoughtful use of AI, automation, and lightweight tooling. You should thrive in this role if you: - Enjoy learning enough technical and policy context to coordinate work effectively and synthesize expert inputs into clear briefing materials and updates for technical and non-technical audiences. - Thrive in fast-paced, flexible environments where priorities evolve and good judgment matters. - Collaborate effectively across policy, technical, legal, operational, and business teams. - Can lead complex workstreams and keep stakeholders aligned through influence rather than formal authority. - View program management as a craft in its own right and take satisfaction in building durable systems, creating clarity, and helping teams deliver reliably. - Are passionate about the promise of AI and thoughtful about its potential national security and societal risks. - Are energized by enabling subject-matter experts and leaders to do their best work, and bring high standards, low ego, curiosity, and a strong service orientation. We're looking for a blend of: - 5+ years of relevant experience in program management, project management, policy operations, strategic operations, chief of staff, government program delivery, or related roles. - Experience coordinating complex work across multiple stakeholders and building practical systems that help teams deliver. Experience supporting policy, government, national security, or technical teams is a plus. - A track record of independently driving complex cross-functional programs from scoping through delivery, managing stakeholders, dependencies, and risks while building durable systems and delivering measurable outcomes. - Strong analytical, writing, and communication skills, with the ability to synthesize quantitative and qualitative inputs into crisp decision materials, action plans, and executive-ready updates. - The ability to understand strategic context while remaining hands-on in detailed execution, influence without formal authority, and exercise sound judgment and discretion in fast-moving, sensitive environments. - Genuine care for the impact of AI on national security, democratic institutions, and society; familiarity with areas such as frontier risk, cybersecurity, biosecurity, critical infrastructure, defense and intelligence applications, or technical AI governance is a plus. Formal project or program management certification is welcome but not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. We are seeking a Head of Process & Controls to build and lead the operational processes, controls, and governance required to scale our AI infrastructure business. This role will own the end-to-end process architecture across AI infrastructure workflows, token and usage accuracy, Order-to-Cash (O2C), and Purchase-to-Pay (P2P), with a strong mandate to build the process foundation, remediate and simplify existing workflows, and drive AI-enabled automation. The leader will take a phased transformation approach: Build the foundation →Standardize → Automate and scale with AI. The objective is to create reliable, well-controlled processes that accurately connect infrastructure consumption to customer billing, supplier costs, accounting, and financial reporting—while progressively reducing manual effort, reconciliation burden, operational discrepancies, and financial leakage. The ideal candidate combines strong process transformation and controls expertise with an understanding of cloud and AI infrastructure economics. They will work across Engineering, Infrastructure, Product, Finance, Accounting, Procurement, Sales Operations, and Data teams to create scalable workflows and embed automation into the operating model. Key Responsibilities Process Foundation, Standardization & Transformation Build the foundational process architecture for AI infrastructure and related financial operations. Define clear end-to-end processes, ownership, controls, decision rights, system-of-records, data handoffs, approval points, exception paths, and escalation procedures. Assess the current operating environment and identify: - Fragmented or undocumented processes - Manual workarounds - Spreadsheet-dependent workflows - Duplicate activities - Unclear process ownership - Control gaps - Inconsistent data definitions - Reconciliation issues - System integration gaps - Recurring operational and financial discrepancies Lead the Standardization of existing processes before introducing automation, ensuring that inefficient or poorly controlled processes are not simply automated in their current state. Develop standard operating procedures, process maps, RACI frameworks, control matrices, data definitions, and operational playbooks. Establish consistent process and control standards across functions, regions, products, customers, and infrastructure providers. Create a transformation roadmap that prioritizes foundational process improvements, risk remediation, automation opportunities, and scalable system capabilities. AI Automation & Manual Effort Reduction Lead the transition from manual and reactive operations toward AI-enabled, automated process execution and controls . Identify high-volume, repetitive, reconciliation-intensive, and exception-driven activities that can be automated. Partner with Engineering, Data, Finance Systems, and Product teams to implement AI-enabled workflows for areas such as: - Automated usage reconciliation - Token and compute anomaly detection - Customer billing validation - Vendor invoice validation - Contract-to-billing checks - Purchase-order and invoice matching - Revenue and cost leakage identification - Accrual estimation - Data-quality monitoring - Exception classification and routing - Root-cause analysis - Variance investigation - Duplicate or missing transaction detection - Automated control evidence collection - Operational reporting and management insights Design processes around exception-based management , where systems and AI handle routine transactions and teams focus primarily on material exceptions, judgment, and remediation. Establish measurable targets for reducing manual touchpoints, spreadsheet dependency, reconciliation effort, processing time, error rates, and discrepancies. Ensure AI-enabled automation includes appropriate governance, human review, traceability, validation, and controls. Workflow & Process Governance Standardize the end-to-end process framework for AI infrastructure operations, from infrastructure provisioning and consumption through usage measurement, customer billing, vendor settlement, accounting, and reporting. Map and optimize workflows across compute, GPU, model inference, API and token consumption, capacity allocation, and related infrastructure services. Establish clear process ownership, approval points, system interfaces, data handoffs, service-level expectations, exception management, and escalation procedures. Partner with Engineering and Infrastructure teams to design operational processes that remain scalable as AI workloads, customers, infrastructure providers, and commercial models grow. Ensure controls and financial requirements are embedded into infrastructure workflows by design rather than added downstream. Token & Usage Accuracy Standardize framework governing the accuracy, completeness, and traceability of AI token and infrastructure usage data. Ensure reliable measurement and reconciliation of metrics such as: - Input and output tokens - API consumption - Model inference usage - GPU or accelerator utilization - Compute hours - Storage and network consumption - Reserved and on-demand capacity - Customer-specific infrastructure consumption Establish automated reconciliations between infrastructure telemetry, metering platforms, pricing systems, customer contracts, billing systems, supplier data, and the general ledger. Develop preventive and detective controls to identify: - Missing usage - Duplicate usage - Incorrect token counts - Incorrect pricing - Unbilled consumption - Misallocated consumption - Customer/vendor usage mismatches - Unexpected consumption patterns - Data pipeline failures Partner with Data and Engineering teams to establish authoritative data sources, common definitions, and end-to-end data lineage from infrastructure activity through financial reporting. Drive continuous improvement in token accuracy, usage completeness, billing accuracy, and cost attribution . Order-to-Cash Own and continuously improve the end-to-end Order-to-Cash process , including: contract / order → provisioning → usage capture → rating and pricing → invoicing → accounts receivable → collections → revenue reporting. Build a standardized and scalable O2C foundation that supports both committed and consumption-based business models. Ensure customer contracts, pricing structures, committed capacity, minimum spend agreements, usage-based pricing, credits, and discounts are correctly translated into operational and billing systems. Establish automated controls over usage-to-invoice reconciliation and billing completeness. Reduce manual billing adjustments and recurring discrepancies through better upstream data quality, system integration, and automated validation. Develop processes for billing adjustments, credits, disputes, contract amendments, and usage exceptions. Partner with Revenue Accounting to ensure operational processes support accurate and timely revenue recognition. Drive improvements in billing accuracy, invoice timeliness, collections, customer experience, and revenue leakage prevention. Purchase-to-Pay Own and optimize the Purchase-to-Pay process for AI infrastructure and related services, including: capacity planning → purchase commitment → purchase order → service consumption → invoice validation → accrual → payment → supplier reconciliation. Build a standardized P2P foundation connecting procurement commitments, infrastructure usage, supplier contracts, invoices, and accounting. Establish controls ensuring vendor invoices accurately reflect contracted pricing and actual infrastructure consumption. Reduce manual invoice review and reconciliation through AI-enabled invoice validation and exception detection. Partner with Infrastructure and Procurement teams on commitments for cloud services, GPUs, data centers, networking, model providers, and other infrastructure vendors. Develop processes for committed-use agreements, prepaid capacity, minimum commitments, volume discounts, credits, and variable consumption charges. Ensure appropriate accruals and cost allocations where supplier invoices lag infrastructure consumption. Financial & Operational Controls Design and maintain a scalable controls framework across infrastructure operations and financial processes. Define preventive and detective controls covering: - Usage completeness and accuracy - Token accuracy - Pricing accuracy - Customer billing - Supplier invoicing - Revenue completeness - Infrastructure cost completeness - Contract compliance - Approval authorities - Reconciliations - Data integrity - Manual adjustments Prioritize automated controls over manual controls wherever technically and operationally feasible. Establish control owners, evidence requirements, review frequencies, exception thresholds, and remediation processes. Create automated exception monitoring so discrepancies can be identified close to the point of occurrence rather than through downstream month-end reconciliation. Partner with Accounting, Internal Audit, and external auditors to support financial reporting and audit requirements. Where applicable, build processes and controls capable of supporting SOX-compliant operations . Process Automation, Systems & Data Architecture Drive automation across infrastructure-to-finance workflows and systematically reduce reliance on spreadsheets, manual reconciliations, and human intervention. Partner with Product, Engineering, Finance Systems, and Data teams to define requirements for: - Usage metering - Rating and pricing - Billing - Procurement - ERP - Reconciliation - Data platforms - Workflow management - AI-enabled exception management Develop a scalable architecture connecting infrastructure telemetry to operational, commercial, and financial systems. Establish dashboards and automated monitoring for control effectiveness, reconciliation exceptions, billing accuracy, supplier discrepancies, cost allocation, and financial leakage. Create a prioritized automation backlog based on transaction volume, manual effort, financial risk, discrepancy rates, and business impact. Track realized benefits from automation, including productivity improvements, reduced error rates, faster cycle times, and reduced operational cost. Operating Metrics & Governance Establish KPIs and KRIs measuring both the health of the underlying processes and progress toward automation Lead regular cross-functional operating reviews to identify systemic issues, assign ownership, and drive remediation. Use recurring exceptions and discrepancies as inputs into process redesign and automation priorities rather than treating them as isolated operational issues. Provide management with transparency into operational risks, financial exposure, automation progress, and opportunities for further simplification. Leadership & Cross-Functional Partnership Build and lead a high-performing Process & Controls organization as the company scales. Act as the connective layer between AI Infrastructure, Engineering, Finance, Accounting, Procurement, Sales Operations, Product, Data, and Internal Audit . Establish clear accountability for processes that span multiple functions and systems. Influence system architecture and operating-model decisions to ensure financial controls, data integrity, automation, and scalability are designed into processes from the beginning. Create a culture of continuous improvement in which the organization moves from: manual → standardized → controlled → automated → AI-enabled. Balance operational rigor and financial control with the speed required in a rapidly evolving AI environment. Qualifications - 10+ years of experience in process transformation, controllership, finance operations, business operations, internal controls, or related disciplines. - Significant leadership experience building or transforming complex, cross-functional processes. - Demonstrated experience establishing process foundations in environments with immature, fragmented, or rapidly evolving workflows. - Strong expertise in Order-to-Cash and Purchase-to-Pay processes. - Experience designing financial and operational control frameworks in technology, cloud infrastructure, SaaS, hyperscale infrastructure, or other consumption-based businesses. - Strong understanding of usage-based billing, metering, reconciliation, pricing, and consumption economics. - Track record of simplifying processes and reducing manual work through automation. - Experience partnering with Engineering, Data, Product, Finance, Accounting, and Procurement organizations. - Strong knowledge of ERP, billing, procurement, data, and financial systems. - Experience designing automated reconciliations and exception-management processes. - Familiarity with AI-enabled workflow automation, anomaly detection, and intelligent operations. - Familiarity with SOX, financial reporting controls, audit requirements, and accounting processes. - Ability to understand complex data flows and translate technical workflows into scalable business and financial processes. Preferred Experience - Experience operating in a high-growth AI, cloud infrastructure, hyperscaler, or technology company. - Experience with consumption-based revenue and cost models. - Familiarity with cloud providers and AI infrastructure vendors. - Experience implementing or scaling usage metering, billing, FinOps, procurement, reconciliation, or workflow platforms. - Experience leading large-scale process clean-up, transformation, and automation programs. What Success Looks Like The Head of Process & Controls will transform the operating environment in three stages: 1. Build the foundation Establish clear processes, ownership, controls, authoritative data, operating standards, and system accountability. 2. Clean up and stabilize Eliminate fragmented workflows, recurring discrepancies, unnecessary manual activities, inconsistent data, and control gaps. 3. Automate and scale Deploy automation and AI so routine activities, reconciliations, validations, and exception detection occur with minimal manual intervention. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. We work across the full funnel, from acquisition and activation to retention and monetization, through product experiments, in-product improvements, performance marketing, creative development, and AI-powered workflows. The International Growth team works with regional leaders in priority markets to identify the user needs and product gaps that matter most for adoption, usage, and monetization. We turn country priorities into product roadmaps and growth plans, then partner with engineering, research, design, data science, marketing, finance, policy, and partnerships to test and ship improvements. We combine product strategy with hands-on growth operations. We account for local behavior, competition, and product experience while building shared capabilities such as segmentation, lifecycle journeys, and experimentation systems. We measure what ships, adapt it to the market, and scale approaches that work across markets. About the Role We’re looking for a growth lead in France to shape and execute ChatGPT’s growth plans. You’ll partner with the France GM to understand local users, identify the biggest growth opportunities, and turn those priorities into product improvements, funnel optimizations, and performance marketing tests. You’ll work across acquisition, activation, retention, and monetization, collaborating with Product, Engineering, Design, Data Science, Partnerships, and Marketing teams to influence priorities and ship measurable impact. The role combines product growth and funnel optimization with performance marketing: connecting audience, message, creative, and channel learnings to better in-product journeys. In this role, you will: - Partner with the France GM, regional teams, and central teams to set a country growth plan and roadmap priorities, with clear hypotheses, owners, dependencies, and measurable outcomes. - Use user research, funnel and cohort data, and competitive insight to find local friction and prioritize the opportunities that matter most to users. - Run performance marketing tests in collaboration with regional marketers across relevant channels, creators, and partners; use incrementally, CAC, payback, and LTV to decide what to scale. - Design and run rigorous experiments across onboarding, activation, repeat usage, re-engagement, and paid conversion; measure incremental impact and iterate. Work with Product, Engineering, Design, and Data Science partners to prototype, test, and ship locally relevant experiences. - Partner with regional Marketing and central media teams to brief and prioritize audience, positioning, creative, and channel tests based on the country plan. - Own the country growth scorecard across acquisition, retention, paid conversion, and unit economics, distinguishing incremental user and revenue gains and learnings - Connect priority use cases, product improvements, and acquisition plans into a coherent journey from first exposure to repeated value. - Run the growth operating cadence with the GM and regional teams, aligning central and local partners on results, trade-offs, dependencies, and next steps. - Build and operate product experimentation capabilities, segmentation, lifecycle/user journeys, performance marketing, and growth platform/tooling that can be scaled across markets. You might thrive in this role if you have: - 10+ years of experience across product growth, data science, or growth strategy and operations, with hands-on execution in a fast-moving technology company. - A user-first track record of turning local research and behavior into product and growth priorities, then shipping improvements with measurable impact. - Strong command of acquisition, activation, retention, and monetization funnels, including technically rigorous experimentation and interpretation. - Practical performance marketing experience across audience, channel, creative, and measurement decisions, and the ability to partner effectively with media specialists. - Analytical fluency in cohort analysis and growth economics, including incrementality, LTV, CAC, payback, and contribution margin. - Experience adapting and running campaigns across markets, using local audience behavior, channels, language, and cultural context to improve relevance and performance at scale. - Experience owning growth goals and delivering measurable user or revenue outcomes across product and marketing levers. - The ability to influence and align central and regional teams, translate local needs into scalable approaches, and make progress through ambiguity. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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. We are seeking an experienced Program Manager for a critical pillar of our Program Management function: Commercial Operations. This role will transform our commercial infrastructure into a revenue accelerator, building and executing the operational leverage that enables Anthropic to maintain velocity as we scale. You'll be responsible for managing and enhancing processes that support rapid product growth. The ideal candidate combines strategic thinking with operational excellence, someone who can both envision where we need to be in 12 months and build the infrastructure to get us there. Responsibilities - Play a central role on the team that runs Anthropic's programs for Commercial Launches — helping evolve an established launch motion into a scalable, well-instrumented program that keeps pace with an accelerating product roadmap - Run launches end-to-end through the Commercial launch process: lead intake and scoping for your portfolio of launches, translate each into its commercial-readiness requirements (pricing, billing, tax, marketplace, compliance and selling motions), and collaborate with product teams to develop paths to launch - Identify where launches slow down today and drive resolution to prevent them from recurring: propose and implement process and system changes, clarify ownership, drive completion across partner teams like, Product, Engineering, Finance, Legal, and GTM. - Build specific program components that don't exist yet — launch tiering, readiness criteria, playbooks, templates, SLAs; and develop training that shifts programs from late-stage gatekeeper to early-stage partner - Take ownership of major program-improvement workstreams such as instrumentation (pipeline visibility, readiness scorecards, guides, throughput and cycle-time metrics) or workflow tooling and automation (intake, tracking, approvals, status) in partnership with Engineering and systems teams - Work cross-functionally with Product, Engineering, Finance, and GTM teams to design clear interfaces and processes that span multiple teams You may be a good fit if you have - Experience building and running new product introduction processes - Experience building capabilities and solutions that enable launching in new ways, from pricing to geographies - 10+ years of experience in operations, with demonstrated success in billing, payments, or commercial operations (high-volume SaaS experience a plus) - Strong working knowledge of billing systems, subscription management, and payments platforms - Proven track record of building and scaling operational programs in high-growth environments — taking things from 0-1 and then scaling beyond - Willing to roll up your sleeves and do the operational work of building while also leading a team - Experience with automation initiatives and partnering with engineering teams to build operational tooling - Strong analytical abilities, problem-solving skills, and the ability to demonstrate ROI on operational programs - Excellent cross-functional collaboration skills with the ability to influence stakeholders across GTM, Finance, Product, and Engineering - Adaptability and comfort working in fast-paced, ambiguous environments where you need to balance multiple priorities simultaneously - Excitement about building the operational backbone that enables Anthropic to stay on the exponential 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: $235,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.

About Scale AI Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. The Role Scale is looking for a seasoned leader and operator to own Scale Enterprise's partnerships with frontier AI labs and foundation model providers. This leader will build and turn our lab relationships into a go-to-market and technology advantage for the Enterprise business. This is a revenue-minded role. You will build joint go-to-market motions with model providers, structure technology and commercial partnerships, and make sure Scale is the preferred partner for taking lab models into production at enterprise scale. You need to be strategic, technically fluent, and able to execute in a fast-moving, competitive market. This role is highly cross-functional. You will work closely with Enterprise sales, product, engineering, research, finance, legal, and marketing. You will also coordinate with Scale's broader relationships with these labs. You will - Define and deliver the strategy for Scale Enterprise's partnerships with frontier AI labs and foundation model providers - Build trusted relationships with go-to-market, partnerships, applied AI, and executive leaders at partner labs - Structure and negotiate partnerships covering joint go-to-market, co-selling, referrals, model access and commercial terms, and technical integrations - Build joint offerings that pair partner models with Scale's applications, evaluation, and data capabilities to speed up enterprise deployments - Set up co-sell motions and rules of engagement with lab enterprise sales teams, including joint account mapping and deal registration - Generate significant top-of-funnel pipeline through lab partnerships, with clear accountability against Enterprise revenue targets - Work with Product, Engineering, and Research so new model capabilities and partner integrations get to Scale's Enterprise customers quickly - Track the model landscape and advise leadership on where to partner, where to integrate, and where to differentiate - Work with Scale's broader lab relationships so the company presents a consistent, coordinated partnership strategy - Own post-signature execution: integration delivery, joint marketing and launches, and regular business reviews - Be measured on (1) partner-sourced and influenced revenue, (2) product and roadmap advantages gained through partnerships, and (3) the strength and breadth of Scale's model partner ecosystem Ideally you’d have - 12+ years in revenue-carrying business development, strategic partnerships, or alliances at a technology company, with recent experience in AI, ML, or cloud platform ecosystems - Existing relationships with partnerships, go-to-market, or leadership teams at frontier AI labs or major foundation model providers - Strong technical fluency in LLMs, model deployment, evaluation, and enterprise AI architecture, with the ability to hold your own with research and engineering teams - A track record of structuring complex technology and commercial partnerships, including co-sell and platform agreements - Experience managing partners that may also be competitors in some areas - Comfort working in a highly matrixed organization and influencing without direct authority - Entrepreneurial drive, comfort with rapid change, and an analytical, data-driven approach to strategy - Bachelor's degree required Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $134,400 - $168,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About the Team OpenAI’s Controllership team provides accurate, timely, and decision-useful financial information while building the processes, systems, and controls needed to support a rapidly growing global business. Our Accounting Operations team owns core accounting and close activities and drives improvements that help our finance organization scale. About the Role We are looking for an Accounting Manager with a strong general accounting foundation and hands-on intercompany experience to join our Accounting Operations team. You will own accounting and close activities across assigned balance sheet and P&L areas, manage intercompany activity for assigned entities, and build efficient, well-controlled processes. This is a hands-on individual contributor role with responsibility for independently managing accounting processes, exercising sound judgment, and reviewing work performed by outsourced partners. You will partner closely with Tax, Treasury, Strategic Finance, and Business Systems to resolve issues, support business growth, and improve how we work. This role is based in San Francisco, CA . We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own the close for assigned accounting areas, including accruals, prepaids, and other balance sheet and operating expense accounts, ensuring accurate results and timely completion. - Prepare and review journal entries, account reconciliations, and supporting schedules; resolve accounting issues and maintain clear, audit-ready documentation. - Manage intercompany accounting for assigned entities, including cross-charges, reconciliations, and coordination of settlements. Investigate differences and drive timely resolution with counterparties. - Support consolidation activities, including intercompany eliminations, entity-level validations, and foreign currency accounting, in partnership with the consolidation lead. - Analyze balance sheet and P&L movements, develop clear flux commentary, and partner with Strategic Finance to explain business drivers and variances. - Coordinate and review work performed by outsourced accounting partners, setting expectations for quality, timeliness, and issue escalation. - Own and improve internal controls within assigned processes, maintain process documentation, and support external audits. - Drive process improvements and automation, partnering with Business Systems to improve Oracle workflows, strengthen data quality, and reduce manual work through tools and AI-enabled solutions. - Support new entities, acquisitions, and business initiatives by establishing accounting workflows and integrating them into the close. You might thrive in this role if you have: - 6+ years of progressive accounting experience, with demonstrated ownership of close processes and experience reviewing others’ work or managing in outsourced support. - A strong general accounting foundation and practical knowledge of U.S. GAAP, including accruals, reconciliations, and financial statement analysis. - Hands-on intercompany accounting experience, including recording transactions, reconciling balances, and resolving differences across entities. - The judgment to independently resolve routine and moderately complex accounting issues, identify risks, and escalate matters with clear recommendations. - Experience operating and improving internal controls and supporting financial statement audits. - Proficiency with ERP systems and advanced Excel skills; Oracle Fusion experience is preferred, and exposure to Oracle FCCS or another consolidation system is a plus. - A track record of improving accounting processes, with curiosity about automation and AI tools. - Strong organizational and communication skills, with the ability to manage competing deadlines and work effectively across teams. - CPA qualification and/or public accounting experience is preferred. Experience in a global, multi-entity or high-growth technology company is a plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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 Manager, Compute Accounting at Anthropic, you will execute day-to-day accounting for our compute and cloud infrastructure spend, ensuring accurate financial reporting and robust controls as we scale. You'll be responsible for preparing compute cost accounting, including accruals, prepaids, accounts payable reconciliation, expense classification, and commitment tracking. This role requires hands-on month-end close experience, strong organizational skills, and the ability to build scalable processes and controls in a high-growth environment, with a strong appetite for process improvement and automation. You'll work directly with Engineering, Procurement, and Finance & Strategy to resolve issues and ensure that costs are captured accurately and in compliance with our agreements. As Anthropic's compute footprint expands rapidly across multiple cloud service providers, you'll help operate the financial controls and processes that enable us to manage compute spend measured in the tens of billions of dollars with precision and confidence. You'll also support internal and external audit requests. Key responsibilities - Own the accounting lifecycle for compute and cloud infrastructure expenses, ensuring accurate and timely recording of all costs through monthly close, reconciliations, accruals, prepaids, journal entries, and flux analysis - Review and interpret cloud service provider and infrastructure contracts to ensure proper accounting treatment, commitment tracking, and compliance with contractual terms - Track and reconcile commitment-based agreements, ensuring proper recognition and disclosure of multi-year purchase obligations - Perform accounts payable and vendor statement reconciliations, working with cloud service providers to resolve discrepancies and ensure billing accuracy - Build scalable processes and controls that can grow with the organization, and develop reporting and monitoring systems to provide visibility into compute spending patterns and trends - Support internal and external audit requests on compute cost accounting and commitment disclosure matters - Work with Engineering and cloud service providers to investigate issues and see them through to resolution - Build monthly and quarterly financial reporting packages for leadership reviews - Drive process improvement and automation initiatives—redesigning close workflows, building automated data pipelines and reporting, and leveraging AI tooling—and contribute to cross-functional projects from scoping through delivery Minimum qualifications - 7+ years of progressive operational accounting experience - CPA (or equivalent) with a strong understanding of GAAP - Strong, hands-on month-end close experience, with a proven ability to prepare accruals, reconciliations, and journal entries accurately and on time - Significant experience accounting for cloud service or compute infrastructure expenses, including review of associated contracts - Experience with cloud service provider cost structures and the unique challenges of accounting for consumption-based services - Strong written and verbal communication skills, with the ability to explain issues to vendors, engineers, and other non-finance stakeholders in clear, simple terms - Strong analytical abilities and comfort working with a high volume of transactions - Proven experience building accounting processes, controls, and policy in high-growth environments - Strong organizational skills and attention to detail, with a track record of seeing issues through to resolution - Proficiency with modern ERP systems (Workday preferred) Preferred qualifications - Have experience mentoring junior accounting professionals - A track record of leading process transformation, automation, or finance systems projects from scoping through delivery - Strong analytical and problem-solving skills, with the ability to dive deep into large datasets to identify issues and opportunities - Comfort with cross-functional partnership in fast-paced environments where priorities can shift quickly - SQL and BigQuery proficiency, enabling direct data analysis and validation against source systems - Python skills for building automation and analytical tools - Experience at cloud service providers, data center operators, or technology companies with consumption-based or usage-based business models - Background combining Big 4 accounting experience with industry roles at technology companies - Exposure to infrastructure lease or asset structures, including colocation, GPU clusters, networking equipment, or data center buildouts - Track record of implementing automated reconciliation and reporting solutions - Familiarity with commitment-based purchasing agreements and their accounting implications - Proficiency with AI-assisted tools (including Claude) for enhancing financial analysis, memo drafting, and close automation - Experience supporting rapid growth and scaling initiatives 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.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The team Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. The Role This is a people-leadership role from day one. You will manage the team — hiring, coaching, performance, growth paths, honest feedback — while staying close to the code: roughly half your time in architecture decisions and the hardest technical problems the team faces, the other half leading your squad. If you are looking for a senior IC role, this is not it. You will lead the team building our serverless containers product: the way developers run AI apps, MCP servers, APIs, and managed workers on our cloud without thinking about servers. Push a container, get an endpoint, scale from zero to thousands of instances and back down — across CPU and GPU. On a hyperscaler, the serverless layer is a product someone else built. Here you own it end to end: the scheduler that decides where a container lands, the routing path a request takes, the machinery that turns a scaled-to-zero service into a warm instance before a customer notices. All of it runs on metal, network, and datacenters we own. That tension is the product: scale-to-zero economics with cold starts in milliseconds, autoscaling that absorbs a launch spike without a config change, GPUs scheduled onto containers the way other platforms schedule CPU. The customers betting on this layer are the developers building the next generation of AI software on European infrastructure. What You Will Do - Own the container platform end to end: image delivery, placement, request routing, scale-up, scale-to-zero — across CPU and GPU. - Make cold starts a solved problem: snapshotting, prewarming, image-layer caching, whatever it takes for scale-from-zero to feel instant. - Treat AI workloads as the normal case: GPU-backed containers, streaming responses, long-lived connections, MCP servers that cost almost nothing while idle. - Write Go alongside your team and own the architecture and the hardest implementation decisions. - Grow the engineers, not just the software — set the standard for ownership and coach people past their comfort zone. - Own people management for the team: hiring, performance, growth paths, and honest feedback. - Partner with Product Managers to turn platform decisions into a product developers want to deploy on. What We're Looking For - 2+ years of real people leadership. You have managed engineers — hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write. - You have shipped production systems in Go. Not dabbled. Shipped. - You have built container or workload platforms — orchestration, scheduling, isolation, request routing — not just deployed onto someone else's serverless platform. - Deep Linux: namespaces, cgroups, image layers, page cache — comfortable well below the application layer. - Multi-tenancy instincts: density, isolation, and fairness when hundreds of customers share one fleet. - Significant experience building complex backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The mission You will be the reference point for the most complex hardware interventions across our sites. Mistral's compute is our largest investment and the foundation of frontier AI in Europe. As a Senior Data Center Hardware Engineer , you own the interventions that require the highest level of technical expertise: multi-node failures in production, full-rack deployments of GPU-dense systems, and vendor escalations where you speak as the technical authority for our sites. You'll work end-to-end — compute, storage, interconnect, power and cooling interfaces — across our data center footprint, raising the bar on reliability as our capacity grows. This is a hands-on senior IC role: deep technical leadership and mentorship, no direct line management. Location: Based at one of our data centers in the Paris region, with occasional visits to our other sites as needed. What you'll do - Lead complex interventions — vendor-level and multi-node operations in production: full rack builds and bring-up, GPU-dense platform deployment (H100/H200-class and next-gen, including liquid-cooled racks), intricate recabling, post-restart diagnosis. You own the plan, the risk assessment, and the rollback. - Own vendor management — coordinate repairs, part replacements and escalations directly with hardware vendors; hold them to their SLAs; drive proactive fixes from failure trends. - Diagnose at depth — correlate symptoms across compute, storage, interconnect and cooling; read BMC/IPMI consoles, OS logs and crash dumps; methodical root-cause analysis that ends in concrete corrective actions. - Deploy and validate — structured bring-up and validation of new racks and platforms; work with networking and infrastructure teams to take installations from delivery to production-ready. - Lift the team — mentor and pair with L1–L3 engineers on live operations; turn your knowledge into SOPs, checklists and training material; propose and build small automation (Python/Bash) to shorten MTTR. - Work the facility interface — partner with critical facilities/engineering ops on power, cooling (air and liquid), PDU and monitoring (BMS/EPMS) boundaries; enforce ESD/LOTO/PPE and audit-ready change discipline everywhere. - Own spares & reliability — plan spares strategy, track fleet failure trends, and run proactive vendor actions before incidents happen. About you - 6+ years in data center / server hardware or L2/L3 hardware support, including complex hands-on work in production environments (HPC/AI/cloud at scale strongly preferred). - End-to-end hardware expertise: CPU/memory/PCIe (incl. accelerators), NICs, PSUs, drives, network, power and cooling interfaces (DLC included); strong judgment on when and how to escalate. - Diagnostics depth: confident with BMC/IPMI logs, Linux logs and CLI checks; structured root-cause analysis. - Deployment experience: you've taken racks from delivery to production, with concrete examples to show for it. - Vendor fluency: you've managed hardware vendors — RMAs, field replacements, escalations — to concrete outcomes. - Impeccable safety and discipline: ESD/LOTO/PPE without exception; clean, labeled, auditable work. - Communication & mentoring: clear status updates and handovers; able to coach engineers during live incidents with composure. - Mobility: willing to visit our other sites in the Paris region as needed. Nice to have - GPU-dense platform experience: NVIDIA H-series (H100/H200) or GB-series rack deployments. - High-speed interconnects (InfiniBand/RoCE), RAID/storage (NVMe/SAS/SATA), vendor tooling (iDRAC/iLO/IPMI). - Automation (Python/Bash) for ops tooling and reporting; ticketing (Jira/ServiceNow), inventory/RMA flows. - Hardware qualification, burn-in or factory validation background. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. The role We're hiring the first dedicated owner of central FP&A at ElevenLabs. You'll own the plan of record: the consolidated company model, the budgeting cycle and the monthly reporting cadence that the CFO, CEO and board use to run the company as we prepare for IPO. Pigment is in place and our data sits in a warehouse with dashboards on top, but the company isn't fully modeled yet. You'll build the core model first, then use it to evaluate every major investment. - Build and own the driver-based company model and opex model in Pigment, bringing inputs from commercial, product and compute finance into one model of record. - Run the annual budget and quarterly reforecasts end to end, including headcount envelopes and G&A forecasting with budget owners. - Set up the monthly cadence of results, budget vs. actuals, functional reviews and quarterly business reviews, and prepare the financial section of the board pack. - Bring capital allocation discipline to large decisions on hiring, compute and strategic spend. You're a builder who still builds the model yourself. You've likely done this at a high-growth tech company where the planning process had to be created while the business scaled, and you care about recommendations that get implemented, not only presented. Requirements - You've built a driver-based company model or long-range plan from scratch and used it to drive real decisions. - You've run an annual budget and reforecast cycle end to end at a high-growth tech company, and turned the numbers into a clear narrative for executives or the board. - Strong commercial judgment: you think in unit economics and gross profit, not only revenue, and your recommendations get implemented. - Hands-on with a planning tool (Pigment, Anaplan, Adaptive or similar), comfortable with SQL and working off a data warehouse, and you use AI tools every day. - Bonus: experience with usage-based or consumption revenue, IPO readiness or public-company FP&A, hands-on Pigment, or building a team. Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Lead a central FP&A team as it grows toward IPO. - Own the planning and guidance process once we are a public company. - Take on broader strategic finance scope as the function scales. Location This role is remote-first, so it can be executed from anywhere in Europe, with the ability to operate in GMT+0 to GMT+2 timezones preferred. If you prefer, you can work from our offices in Warsaw and London. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About the Team The Intelligence & Investigations Engineering team builds systems that detect, analyze, and disrupt abuse across OpenAI’s products. We partner closely with the Child Safety team and cross-functional groups to protect users while advancing OpenAI’s goal of developing AI that benefits everyone. About the Role As a Fullstack Engineer focused on child safety, you’ll build data-intensive, AI-powered applications and infrastructure that enable operators and investigators to work effectively and responsibly. You’ll adapt quickly in ambiguous, fast-moving environments to deliver well-crafted, reliable tooling for high-severity safety work. *Candidates should understand this role involves exposure to sensitive and egregious content. In this role, you will: - 7+ years of experience as a software engineer - Prototype, build, and maintain intelligence systems that detect, triage, and enable efficient human review of possible high severity harm - Work hand in hand with operators and investigators, designing and delivering systems that enable them to do their work faster, more accurately, and more safely. - Develop across the stack: UIs, services, pipelines, and anything else required to solve the problems we face. - Interact with partners across Product Policy, Platform Integrity, Safety Systems, and Research - Contribute to the team’s technical strategy, especially for child safety related tools and systems - Report on impact in a data-driven fashion You might thrive in this role if you: - Have a strong software engineering foundation and enjoy owning systems end-to-end—from infrastructure and data ingestion to frontend tooling - Are energized by working at the frontier of AI capabilities, integrating new models and APIs into practical systems - Have experience building and operating large-scale data pipelines or search/retrieval systems - Are proficient in Python and/or TypeScript, and familiar with tools like Spark, Kafka, Flink, data warehouses, and SQL - Take a product-minded approach, design with user workflows in mind, and iterate quickly based on feedback - Favor pragmatic solutions and can ship in hacky, low-support environments when needed - Are comfortable navigating ambiguity and open-ended problem spaces with evolving goals - Have prior experience working on engineering for high-severity harms - Bring intuition for the pain points and workflows of operations and investigative teams, and curiosity about solving complex investigations - Bonus: prior knowledge of child-safety-specific challenges such as secure handling of quarantined content and reporting to NCMEC About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role You embed directly with customer teams as the engineer on the ground: own an outcome, ship a production-grade SpaceXAI system that still runs after you leave, and become the critical technical feedback loop from the field back to product engineering. The work is the project. One week you might take a messy business workflow and put a production agent on it: pick the use case, stand up the architecture, wire it into the customer’s auth, data, and tools, then harden it with evals until the team actually uses it. Another week you might live in a customer’s repo and delivery system and ship an agent-powered path for a migration, a PR review loop, or an incident-to-fix flow, behind tests, review, and rollout rather than in a chat sidebar. Either way, you measure what matters, leave the customer able to operate it, and bring the pattern back as another use case for SpaceXAI. This is not a demo role. You own the work end to end, from the first discovery call through launch, iteration, and post-launch support, and you are responsible for systems that work in the real world. What you’ll do - Lead discovery with the customer: orient in their codebases and workflows, find the real bottleneck and the use case worth building, and define clear success metrics - Design and ship production agents, AI applications, and coding-agent workflows on Grok and our models, on live business processes and inside the customer’s engineering org - Get a first version live in days, then harden it over weeks with rollout, monitoring, and iteration from real usage - Own production quality: tracing, evals, debugging model or delivery failures, and latency and cost tradeoffs - Build the systems around the model (tools, MCP servers, retrieval, rules, skills, CI gates, and evals) and integrate them into the customer’s auth, data, workflow, and delivery systems; decide when prompting, architecture, data, process, or a model change is the right lever - Measure the outcome that matters (revenue, cost, hours saved, error rate, cycle time, escaped defects), not seat adoption - Work directly with Staff+, platform, and domain leaders, going deep in their systems while communicating clearly about tradeoffs and results - Leave the customer team able to run what you built, and turn what you learn into reusable patterns and improvements to SpaceXAI products You may be a fit if Required - You have 5+ years of experience in software engineering, machine learning engineering, or data science - You write and review production code (Python, JavaScript/TypeScript; other languages welcome) - You’ve owned a customer or operator outcome, not just a slide or a prototype, and can turn a fuzzy problem into a scoped, shipped system - You’ve built and owned AI-native workflows or agents in production, and debugged real production failures (model, tool, data, pipeline, or delivery path) - You’ve handled production reliability: metrics, alerts, safe rollouts, incident response - You build end to end: frontend, backend, infra, and prompt iteration - You thrive in ambiguity and don’t need a complete spec before you start building - You can talk to working engineers and to a VP - Fluency in both Japanese and English Nice to have - 2+ years in a customer-facing role, leading discovery conversations and being accountable for outcomes for external stakeholders - Hands-on depth in several of: agents and tool-calling, eval harnesses, retrieval and context systems, CI/CD or developer platforms, and AI-native coding workflows in a real repo - Experience as a forward-deployed, solutions, or platform engineer embedded with customers, or as a founding engineer who owned an AI product end to end

About OpenAI OpenAI is an AI research and deployment company committed to ensuring that artificial general intelligence benefits all of humanity. Our mission requires a team that brings diverse perspectives, strong judgment, and a deep commitment to safe and beneficial deployment. About the role The ANZ B2B Marketing Lead is the accountable market owner for OpenAI’s B2B marketing strategy, execution, and outcomes across Australia and New Zealand. They set priorities with local GTM leadership, translate global and regional strategy into locally effective programs, and drive measurable pipeline, adoption, and customer trust. They remain hands-on while drawing on regional and global specialists, represent ANZ customer and market needs in broader planning, and build the operating model and capabilities needed to scale. The role prioritises enterprise and mid-market opportunities across Australia and New Zealand, while coordinating startup, developer, and partner programs with regional and global specialists. You will partner closely with Sales, Partnerships, Product Marketing, Communications, Legal, APAC Marketing, and Global Marketing to set local priorities, activate relevant programs, and bring ANZ customer and market insights into broader planning. Responsibilities - Own ANZ B2B marketing strategy and investment recommendations across Australia and New Zealand, prioritizing enterprise and mid-market opportunities in alignment with local GTM, regional, and global goals - Plan and run integrated marketing programs across ABM, field events, executive programs, roundtables, partner co-marketing, customer stories - Activate global and regional campaigns for the ANZ market, adapting messaging, channels, proof points, and execution for local audiences - Create high-impact local content, including customer stories, executive narratives, sales enablement, newsletters, and campaign assets - Partner with Sales to identify priority enterprise and mid-market accounts, industries, pipeline gaps, and buyer objections across Australia and New Zealand - Work with Product Marketing, APAC Marketing, and Global Marketing to adapt launches and B2B narratives for audiences across Australia and New Zealand - Coordinate with Comms, Global Affairs, Legal, and policy partners on trust-sensitive messaging and external programs - Build partner marketing strategies with priority ecosystem, channel, and industry partners, drawing on Partnerships and regional and global marketing specialists - Coordinate startup and developer programs with the relevant specialist teams as part of the ANZ B2B plan - Manage agencies, vendors, timelines, budgets, reporting, and post-campaign measurement - Establish operating rhythms and performance dashboards for ANZ B2B marketing - Represent ANZ customer and market needs in regional and global planning, advising leadership on opportunities, risks, and investment priorities - Identify capability gaps and recommend the resourcing, specialist support, and operating model needed to scale ANZ B2B marketing Qualifications - 10+ years of experience in B2B, enterprise, field, demand generation, or integrated marketing, with substantial ANZ B2B market experience - Proven experience driving measurable B2B pipeline and adoption through integrated demand generation, field marketing, events, and content programs - Proven experience building and executing account-based marketing (ABM) programs for strategic enterprise accounts, with measurable account engagement and pipeline impact - Proven experience executing integrated marketing programs that translate global or regional campaigns into locally relevant messaging, channels, content, and activation - Strong understanding of enterprise and mid-market buying dynamics across Australia and New Zealand, including trust, risk, privacy, procurement, partner influence, and stakeholder alignment - Full professional English fluency with strong writing, editing, and content production judgment for audiences across Australia and New Zealand - Demonstrated ability to work cross-functionally with Sales, Product Marketing, Comms, Legal, Partnerships, and regional and global teams - Strong project management skills and proven ability to manage multiple programs, agencies, vendors, budgets, and stakeholders - Analytical ability to connect marketing activity to pipeline, account engagement, adoption, and business outcomes - Demonstrated ability to own market strategy and hands-on execution, prioritise investment, and build repeatable marketing capabilities in ambiguous environments - Strong stakeholder influence and ability to bring local customer and market insight into regional and global planning - Proven ability to build and execute integrated marketing plans across relevant B2B channels, including brand, digital, and influencer channels Preferred qualifications - Experience marketing AI, developer, SaaS, infrastructure, cloud, data, or other technical products - Familiarity with Salesforce, Marketo, event platforms, and marketing analytics tools - Partner marketing experience, ideally including partner-led GTM and ecosystem co-marketing in ANZ - Experience with regulated or trust-sensitive industries such as financial services, healthcare, public sector, education, or professional services - Experience in startups, high-growth technology companies, or global-local matrix organizations - An existing network across ANZ enterprise technology, partner, agency, creative, production, or industry communities - Deep understanding of the business and consumer landscape, cultural context, and media and marketing dynamics across Australia and New Zealand Why this role matters ANZ is a strategically important B2B market for OpenAI. The right marketer will build the trust, customer proof, integrated programs, and operating model needed to turn market interest into durable adoption. This role will shape how OpenAI shows up to businesses across Australia and New Zealand at a pivotal moment for AI adoption. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The role We’re seeking an Internal Event Manager to lead our internal event strategy and execution. In this role, you’ll develop and implement a comprehensive events plan, manage our new event spaces, and collaborate with internal teams and external agencies to deliver exceptional experiences for Mistralers. What you'll do - Design and execute a strategy for internal events, ensuring alignment with Mistral’s culture and objectives. - Plan and manage events from start to finish, including logistics, vendor coordination, and on-site execution. - Build and maintain relationships with vendors, venues, and service providers in Paris. - Act as the primary contact for internal teams hosting events in our new HQ. - Ensure events are delivered on time, within budget, and to the highest standards. What we are looking for - At least +6 years, with 3 years as an Event Manager or in a similar role, ideally in a corporate or tech environment. - Strong organizational and project management skills. - Excellent communication and interpersonal abilities. - A network of trusted vendors and venues in Paris. - Fluency in English and French. - It would be ideal if you had: - Knowledge of AV and technical event requirements. - Familiarity with CRM or event management software. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re hiring a Sales Execution & NA Enablement Lead to raise how our enterprise sellers plan, pursue, and win complex, technical deals. This is not a traditional training role. You’ll set the standard for what great enterprise selling looks like, turn it into artifacts and operating rhythms, and make sure sellers and managers actually use it. The role has two mandates: own key global sales execution programs, and act as the primary Enablement partner to North America sales leadership. You’ll work closely with the Global Head of Enablement, Sales Leadership, RevOps, Product Marketing, Product & Technical Enablement, and FDE. What you’ll do - Own enterprise sales execution: Build and operationalize the critical artifacts that drive excellent sales execution. - Enable sellers to win technical enterprise deals: Coach reps to build business cases with champions, read 10-Ks, and connect ElevenLabs capabilities to measurable outcomes for technical and economic buyers. - Partner with NA leadership on enablement: Diagnose field gaps and adapt global programs to NA needs, including competitive positioning, developer-led motions, and vertical playbooks. - Facilitate globally: Lead highly engaging, practical sales execution sessions, not just build the programs behind them. - Manage the coaching and operating rhythm: Embed selling standards and artifacts into how managers inspect deals and coach sellers. - Build the foundation for a vertical selling motion: Lay the groundwork for vertical selling, which is becoming a global priority, not just an NA need. - Execute in an AI-native way: Use AI to scale coaching, practice, and reinforcement, going beyond general AI fluency. Requirements - 10+ years experience in enterprise sales leadership and enablement experience, ideally in an AI-native or developer-focused company - Excellence building and operationalizing value-selling artifacts across sales org with measurable results - Experience with MEDDICC, Command of the Message, Challenger, or similar methodologies, and the judgment to adapt them - Experience enabling frontline sales managers and building strong coaching methodologies - AI fluency, and comfort building in a fast-growing environment where the operating model is still taking shape - Enough technical depth to credibly support sellers selling to developers and technical buyers - Proven cross-functional influence across Sales, RevOps, PMM, Product, and FDE teams - Bonus: Experience working in voice AI Location This is a remote-first role. Candidates must be based in North America. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About the team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business—from ChatGPT Enterprise to our developer platform and APIs. We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. Sales Development sits at the front of this motion—where technical curiosity becomes executive engagement and OpenAI’s enterprise relationships begin. About the role We are hiring a Sales Development Manager, EMEA to lead a team of SDRs supporting our Enterprise Sales team across EMEA. Reporting into the Head of EMEA Sales Development, this role will be responsible for coaching and developing a high-performing team focused on generating qualified pipeline and creating strategic enterprise opportunities. This is a foundational front-line leadership role within OpenAI’s enterprise GTM organization. You will help define how we engage prospective customers, convert product and developer interest into enterprise conversations, and scale repeatable outbound and inbound motions across some of the world’s largest organizations. You will partner closely with Sales, Marketing, Solutions Engineering, Partnerships, and Strategy & Operations to drive pipeline generation and help shape the future of OpenAI’s enterprise growth engine. Please note this role is based in Dublin with office attendance required 3 days a week. In this role, you will - Lead, coach, and develop a team of SDRs supporting Enterprise sales teams across EMEA - Drive high-quality pipeline generation through outbound prospecting, inbound qualification, account-based motions, and product-led signals - Establish strong operational rigor around activity metrics, conversion rates, pipeline quality, and execution consistency - Partner closely with Account Directors and enterprise sales leadership on territory planning, account prioritization, and opportunity development - Help define scalable SDR playbooks across outbound, inbound, ABM, partner-sourced, and product-led motions - Coach SDRs on executive communication, discovery, account research, and strategic prospecting - Build a high-performance, collaborative, and low-ego team culture focused on continuous improvement - Work cross-functionally with Marketing, Partnerships, Solutions Engineering, and Strategy & Operations to optimize pipeline generation efforts - Support hiring, onboarding, and ramping of new SDR talent as the organization scales - Bring market feedback and customer insights back into the broader GTM organization You may thrive in this role if you - Have 6–10+ years of experience and overachievement in sales, business development, or GTM roles, with at least 3+ years in management - Bring experience managing SDRs or business development teams in enterprise SaaS or platform businesses - Have a strong understanding of enterprise prospecting, pipeline generation, and outbound strategy - Are highly operational and data-driven, with experience managing metrics, conversion funnels, and forecasting - Thrive in fast-paced, high-growth environments with evolving processes and ambiguity - Have experience partnering closely with Enterprise Sales teams on strategic account development - Are an exceptional coach who knows how to develop early-career talent into high-performing sales professionals - Communicate effectively with both technical and executive stakeholders - Lead with high standards, accountability, and a low-ego mindset - Are excited about helping enterprises adopt transformative AI technologies About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Your responsibilities will include: In this role you will lead and grow Mistral AI's partnerships with OEMs, driving joint go-to-market (GTM) initiatives and expanding business opportunities across both organizations. You will serve as the primary owner of the relationship with Hardware OEMS, aligning cross-functional teams and executive stakeholders to deliver measurable business impact. Success in this role means building strong executive-level relationships, driving OEM deals, and building a best-in-class Partner OEM team. You will play a critical role in shaping partnership strategy, influencing product collaboration, and ensuring Mistral AI fully leverages Hardware OEMs’ ecosystem, programs, and resources to accelerate revenue and market presence. What Makes You a Qualified Candidate - 15+ years of experience working with hardware OEMs in solution sales, direct sales or channels - Proven track record managing complex partner relationships and driving measurable business outcomes - Strong experience in alliance management within the high-tech industry at strategic and operational levels - Demonstrated ability to engage and influence senior leadership and C-level executives - Strong knowledge of Sovereign AI frameworks and offerings Nice-to-have qualifications - Experience developing and executing GTM strategies and business plans with partners - Strong understanding of Hardware OEM's business model, products, programs, and funding structures - Ability to identify and scale new business opportunities through partnerships - Excellent relationship-building, communication, and stakeholder management skills - Strong organizational skills with the ability to manage multiple priorities and touchpoints - High energy, entrepreneurial mindset, and results-driven approach What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview As a Member of Technical Staff in Post-Training Data Infrastructure, you will build and own the pipelines that produce the post-training data for our large language models (LLMs), from SFT and RL data to synthetic and human-annotated data. You will work closely with researchers and annotation teams so they can iterate on data as quickly as they iterate on models. Key Responsibilities - Build and maintain data pipelines for SFT, preference, and RL post-training data. - Own dataset quality, versioning, and reproducibility. - Turn research data recipes into production-grade, reusable components. - Scale model inference for data generation and model-based grading. - Design data formats and schemas that keep post-training datasets consistent and efficient to train on. - Collaborate with researchers and engineers to make sure data pipelines keep pace with the needs of cutting-edge language models. Qualifications - Strong software engineering skills. - Experience designing and building large-scale data pipelines for machine learning, ideally for LLM post-training. - Track record of running distributed data processing and model inference at scale. - Good understanding of post-training methods (e.g., SFT, RLHF, DPO) and how data shapes model behaviour. - Excellent communication skills. This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We value diverse backgrounds and perspectives at Cohere Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

About The Role Own the end-to-end data-center hardware quality and reliability loop for OpenAI’s 3P infrastructure and 1P current and next-gen platforms. Turn field failures into quantified risk, fast containment, verified root cause, improved MQE/NPI and manufacturing-test coverage, accurate spares forecasts, and upstream changes that prevent recurrence. The first hire must combine practical hardware/system understanding, reliability engineering, data fluency, and cross-functional technical leadership at data-center scale. Key Responsibilities • Build and govern the field-quality data model across telemetry, tickets, RMA/repair, FA, firmware, configuration, supplier, and manufacturing genealogy. • Define AFR, ASR, DPPM, MTBF/MTTR, repeat-repair, NTF, repair-cycle-time, and forecast-versus-actual metrics with explicit denominators and uncertainty. • Provide fleet-level macro views and unit/FRU/cohort-level micro views; detect shifts and bound affected populations. • Lead systemic field-failure triage, containment, failure analysis, 8D/CAPA, risk assessment, corrective-action verification, and recurrence monitoring. • Develop cohort, life-data, reliability-growth, and spare-demand projections by product, FRU, supplier, configuration, geography, and age. • Partner with MQE and NPI to convert field mechanisms into manufacturing-test coverage, screening/stress profiles, diagnostics, control plans, DFR/DFS requirements, FMEA/FTA, mission profiles, FRU strategy, and qualification gates. • Close the loop by verifying whether upstream changes reduce field recurrence. • Define supplier/CM FA standards, field-data contracts, scorecards, escalation paths, and closure evidence. • Provide serviceability, TCO, and spares inputs without owning inventory execution or procurement. • Create concise executive decision packages: population at risk, exposure, confidence, options, cost/risk, and recommendation. • Run the cross-functional reliability council and, as the team grows, mentor the 1P and 3P Field Quality Engineers. Qualifications • BS in electrical, mechanical, computer, materials, reliability engineering, physics, or equivalent experience; MS preferred. • 8+ years in hardware quality/reliability, server/rack systems, or mission-critical infrastructure; 3+ years owning field-failure, RMA, or CAPA outcomes. • Solid working understanding of hardware and system architecture across board, tray, rack, firmware, telemetry, manufacturing test, and fleet behavior; deep expertise in every subsystem is not required. • Reliability statistics: censored life data, Weibull/Poisson/binomial methods, confidence bounds, MTBF/MTTR, and reliability growth. • Hands-on FMEA/FTA, accelerated or reliability-demonstration testing, 8D/CAPA, FA, and corrective-action verification. • Working proficiency with SQL and Python/R or equivalent analytics tools. • Ability to influence design, validation, operations, suppliers/CMs, and senior leaders without direct authority. Preferred Skills • GPU/AI server platforms, liquid cooling, high-power delivery, high-speed networking, rack integration, or data-center operations. • Design for serviceability: FRU boundaries, diagnostics, repair workflows, tooling/access, and spares policy. • Qualification-to-field correlation and mission-profile development. • ODM/CM/supplier experience: FA quality, audit, QBR, and corrective-action governance. • Linux/BMC/IPMI/Redfish logs and fleet telemetry. • Leadership of a cross-generation reliability program or launch-readiness gate. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. The Finance Program Management Office (FinPMO) is responsible for driving and scaling cross-functional finance programs and M&A integrations. FinPMO partners closely across Accounting, Strategic Finance, Corporate Development, Equity, Procurement, Treasury, Risk, and Legal to ensure financial change through M&A and other new business models is executed in a controlled, auditable, and operationally effective way. FinPMO plays a critical role in managing M&A including financial deal diligence, finance operations, post-close integrations, reporting and controls. We help quarterback the M&A process to help ensure corporate integrations are executed cleanly, risks are managed proactively, and leadership has clear deal visibility. About the Role As a M&A Finance Integration Lead, you will own and scale OpenAI’s finance integration model. This is a highly cross-functional, transactions driven role for someone who can bring structure to ambiguity, translate deal complexity into executable workplans, and drive successful M&A outcomes across multiple teams. We’re looking for someone to be the central point of accountability to oversee finance workstreams across the full M&A lifecycle. You’ll ensure integrations are executed cleanly, financial risks are mitigated early, and our books, controls, and systems remain stable as OpenAI scales. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role you will: - Define and build standardized, scalable M&A finance integration frameworks. - Drive consistent execution across multiple, simultaneous M&A integrations. - Ensure timely, accurate M&A diligence including historical financials, revenue, equity, tax, and procurement. - Lead integration planning for deal close readiness across accounting, valuation, payroll, banking, entities, and controls. - Translate deal terms and integration strategy into actionable workplans, timelines, and dependencies. - Ensure on track deal execution accounting, operational integration, systems cutover, and reporting. - Proactively surface post-close deal integration risks and drive mitigation plans. You might thrive in this role if you have: - 10+ years of experience across M&A, deal integration and finance transformation, ideally in an Investment Banking/PE backed environment and/or high-growth technology company. - Demonstrated experience leading multiple, concurrent M&A negotiations and deal integrations with complex cross-functional dependencies. - Strong understanding of deal accounting, controls and reporting in a fast changing environment. - Exceptional stakeholder management and executive communication skills. - A Bachelor’s degree in Finance, Business Administration, or a related field (CPA or MBA a plus). About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

At Scale, we develop reliable AI systems for the world’s most important decisions. Scale’s growth marketing team is the engine behind the go-to-market motion, driving pipeline and revenue through an integrated mix of demand generation, ABM, and revenue operations. As our Account Based Marketing Lead, you will build and execute our 1:1 and industry-vertical ABM playbooks in close partnership with the Enterprise GTM team across a focused set of target accounts. Reporting to the Head of Growth Marketing, you will take ownership of vertical-specific campaigns across Healthcare, Financial & Professional Services, and Consumer and scale the 1:1 motion for our highest priority accounts. You will: - Build and execute 1:1 ABM programs for a focused set of strategic enterprise accounts (P0 & P1), owning strategy, channel mix, sequencing, and execution end-to-end. - Develop vertical-specific campaign strategies tailored to the buying behaviors, pain points, and use cases of target accounts in targeted industries. - Partner with enterprise sellers and the Head of Growth Marketing on joint account planning, aligning on target stakeholders, engagement goals, content needs, and campaign timing. - Orchestrate multichannel campaigns across digital advertising, direct mail, web and in-person experiences to engage the full buying committee. - Track and report on account engagement signals, buying committee penetration, and pipeline influence, turning data into clear and actionable insights for sales and leadership. - Define ABM KPIs and build reporting frameworks that demonstrate campaign impact on pipeline creation, acceleration, and revenue. - Collaborate cross-functionally with content, product marketing, and field teams to develop account-specific messaging and personalized executive experiences, then systematize what works into a repeatable ABM playbook. - Manage a bench of creative production and fulfillment partners, balancing ambitious ideas against turnaround time, cost and delivery logistics. Ideally you'd have: - 5+ years of B2B marketing experience with at least 3 years focused on account-based marketing, and a proven track record driving measurable pipeline at enterprise accounts. - Experience working directly with enterprise sales teams on joint account planning, stakeholder mapping, and coordinated campaign execution across a defined account list. - Hands-on experience with ABM platforms (Clay, Folloze, Reachdesk), marketing automation (Marketo or HubSpot), and Salesforce for pipeline tracking and attribution. - Strong analytical skills with a bias for action, and the ability to present campaign performance and strategy clearly to GTM leadership and senior stakeholders. Nice to haves: - Experience marketing to one or more of the following verticals: Healthcare, Financial Services, Professional Services, or Consumer Goods, with familiarity in the distinct buying dynamics and messaging that resonate in each. - A portfolio of campaigns that made executives stop and respond, and the ability to explain the insight behind each one and the business result it drove. - Background in executive engagement programs such as personalized landing, executive event support, direct mail, and familiarity with intent data and account-targeted digital advertising strategies. - Experience at a high-growth B2B SaaS, enterprise technology, or AI/ML company. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $158,400 - $198,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About the Team OpenAI’s IT organization supports the mission of deploying artificial general intelligence (AGI) for the benefit of all. Our team is committed to providing seamless technological support and solutions to ensure that all OpenAI employees are well-equipped and connected. This enables them to contribute effectively towards our AI research, corporate operations and product initiatives. About the Role As an ITAV Operations Engineer at OpenAI, you will administer and troubleshoot conference room AV, video conferencing, background music, digital signage, and other ITAV-owned systems. You will serve as the technical bridge between our support vendors and ITAV Engineering, resolving escalations that require internal access, administrative permissions, or deeper technical investigation. You will maintain reliable configurations, execute changes using established standards, and turn recurring issues into improvements to systems, documentation, and automation This is an in-office role and will require 5 days a week in our San Francisco office. Travel 30% of the time to support ITAV systems, technical changes, and operational readiness. International travel is required. In this role, you will: - Set up, configure, administer, and maintain conference room AV, video conferencing, background music, digital signage, and other ITAV-owned systems. - Resolve vendor escalations that require internal administrative access or technical expertise, owning diagnosis, remediation, and verification of service restoration. - Manage assigned ITAV installation and commissioning scope for office builds, refreshes, and moves, adds, and changes using established standards, and verify that completed systems are ready for ongoing operation. - Serve as the technical bridge between vendors and ITAV Engineering, providing clear diagnostic evidence and escalating issues that require changes to system designs or engineering standards. - Execute software updates, configuration changes, equipment replacements, and conferencing move/add/change requests using established standards and recovery procedures. - Validate operational readiness for new or upgraded systems, including configuration, monitoring, administrative access, documentation, and support handoffs. - Investigate recurring failures and work with ITAV Engineering to implement and validate lasting improvements. - Maintain runbooks and recovery procedures, and train vendors and support technicians on approved tasks, access boundaries, and escalation requirements. - Partner with IT Systems Operations on identity and access, and with Workplace and content owners on service requirements and user training. - Build, operate, and improve AI and agentic workflows for repeatable administration, configuration checks, and troubleshooting; validate results, handle failures, and measure reductions in manual effort. You might thrive in this role if you have: - 5+ years of experience implementing and troubleshooting enterprise AV systems, including installation, commissioning, and working from technical designs; hands-on experience with Logitech, Cisco, QSYS and Google Meet conferencing hardware. - Hands-on expertise configuring, administering, and troubleshooting video conferencing platforms such as Google Meet, Zoom, and Microsoft Teams. - Experience working with support vendors to diagnose escalated issues, perform administrative actions outside vendor permissions, and document verified resolutions. - Experience administering AV or workplace technology services, including configuration, monitoring, software updates, and recovery, as well as migrating video conferencing platforms. - Practical knowledge of enterprise networking, including IP addressing, VLANs, DNS, DHCP, and multicast, sufficient to diagnose AV connectivity and work effectively with Network Engineering. - Experience configuring and troubleshooting wayfinding and conference room booking hardware, software, and room-resource integrations. - Experience deploying and troubleshooting AV over IP, including Q-LAN, Dante, and NDI. - Experience configuring and troubleshooting systems in the Q-SYS control ecosystem. - Experience applying AV build standards, validating system performance, and maintaining clear configuration and support documentation. - Experience using IT ticketing systems to prioritize technical escalations, communicate with users and partner teams, and meet agreed support expectations. - Experience using basic scripting, such as Bash, Lua, Python, or JavaScript, and AI or agentic workflows to automate repeatable work, validate results, handle failures, and document how others can operate it. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About this Team The HR Business Partner (HRBP) team at OpenAI partners with leaders to navigate complex organizational and talent decisions where the right path is not always obvious. We are building a higher-leverage HRBP model: staying close enough to the business to understand its realities, while focusing our time on the work that requires judgment, influence, context, and leadership partnership. This role is for an HRBP who can diagnose ambiguous situations, translate business strategy into organizational and talent decisions, coach leaders through consequential choices, and help build the operating rhythms that enable scale. While the role spans both strategic and operational work, the bar is not to be helpful on everything. The bar is to improve decision quality, strengthen leadership capability, and increase organizational effectiveness. We operate with urgency, empathy, and sound judgment. We value sincerity, intellectual honesty, and collaboration over ego, and focus relentlessly on creating meaningful impact. About this Role This role is part of a shared hiring pathway for HRBPs at OpenAI. Instead of hiring directly for a single team, we evaluate candidates holistically first, then identify the best fit across our organization as you advance. This approach ensures alignment between your skills, interests, and where our needs are greatest—whether that’s partnering with technical leaders in engineering, supporting product teams driving user impact, or enabling operational excellence across business functions. As a Senior HR Business Partner, you’ll be a trusted advisor to leaders and their teams. You’ll help set direction for how we organize, grow, and lead—stepping in as both a sounding board and a problem-solver. This role mixes strategic advising with hands-on support: you’ll design better systems, coach managers through complex situations, and help us make trade-offs that keep our people and mission in balance. This is an individual contributor role reporting to an HRBP Lead. In this role, you will: - Shape high-performing, resilient teams: Partner with leaders to design structures, talent plans, and ways of working that enable strong performance and sustainable growth. - Collaborate for a seamless experience: Partner with fellow HRBPs, COEs, and cross-functional leaders to build an employee experience rooted in humanity, humility, and impact. - Evolve People programs: Strengthen performance, engagement, and retention processes—building solutions that are lightweight, scalable, and aligned with how OpenAI operates. - Guide and develop managers: Offer candid, actionable feedback and help managers build leadership muscle across their teams. - Anticipate and act fast: Stay close to the business to identify challenges early, diagnose root causes, and deliver lasting solutions that adapt as priorities shift. - Lead change that matters: Drive organizational changes with empathy, clarity, and rigor—finding creative paths forward when playbooks don’t exist. You might thrive in this role if you have: - Deep HRBP expertise: 7–10+ years of HR experience, including at least 5 years as an HR Business Partner in high-growth or complex environments. - Strategic partnering: Able to see the big picture, guide leaders through tough trade-offs, and adapt quickly when priorities shift. - Multipliers who create impact: Skilled at giving candid feedback with care and building leadership capabilities across organizations. - Scrappy problem solving: Uses sound judgment to diagnose challenges, test creative solutions, and chart a path forward without a playbook. - Change leadership with calm & clarity: Brings steadiness, empathy, and influence in moments of ambiguity or transition. - High integrity: Known for discretion, fairness, and trustworthiness when the stakes are high. Workplace & Location This role is based in our San Francisco or New York office, and we aren’t considering remote applications at this time. We do encourage you to apply even if you prefer a fully remote role as location factors may change over time. We offer relocation support to new employees, and we use a hybrid model: three days in the office per week with optional work from home on Thursdays and Fridays. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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 Legal Tech engineers play a specialized and critical role in keeping Claude at the frontier. Partnering closely with counsel, we provide custom infrastructure and guidance for complex, novel technical matters, empowering teams across the company to continue meeting our legal obligations as we innovate. As a Senior+ Software Engineer on our Legal Tech team, you'll build dedicated, highly secure, and reliable cloud environments and data processing and storage capabilities at speed and scale. You will own your scope end to end: from raw requirements all the way through to large-scale production systems that satisfy legal invariants and unlock new possibilities. The systems you build won't just be dependable and scalable; they'll be interpretable and auditable, demonstrating to skeptical audiences exactly how they worked and why results can be trusted. You'll be an essential member of a collaborative team, working together to solve difficult problems against fixed deadlines. You will own internal customer relationships as well: you'll gather, prioritize, and coordinate needs from colleagues on Privacy, Security, Research, and/or Infra as well as Legal, to ship the right capabilities on the right timelines. You'll act as a trusted advisor: clearly explaining technical concepts and constraints to inform legal decisions, and proactively designing new approaches to prevent classes of problems. Your infrastructure expertise will directly empower our business to calibrate and manage risk, innovating faster thanks to systems that build in legal considerations. Key responsibilities - Build and operate dedicated cloud infrastructure, storage, and data pipelines for specialized workloads that can't run on general-purpose systems - Design architectures with excellent security, privacy, reliability, scalability, and auditability baked in - Partner with a wide range of internal customer teams to translate requirements into sound approaches and realistic ETAs - Deliver against fixed deadlines - Support complex and novel legal requests on controlled infrastructure, with verifiable chain of custody - Pair with engineering teams across the company to extend existing infrastructure to support new workflows and/or legal requests - Work with nontechnical stakeholders to clarify their needs through responsive, easy-to-follow dialogue Minimum qualifications - Experience designing, building, and operating highly trusted infrastructure and data systems in production, including owning architectural decisions - Experience working across large, complex, multi-team environments, including in stacks and code you don't own - Ability to take ownership of a cloud account and secure it end to end (networking, storage, identity, encryption, least-privilege provisioning, etc.) on AWS and/or GCP - Ability to translate legal and privacy requirements into sound technical designs and implementations that teams are excited to adopt - A habit of verifying rather than assuming: designing checks for invariants and plainly naming what isn't proved - Self-directed in a high-change environment, and comfortable resequencing quickly when new needs emerge - Clear communication with nontechnical stakeholders, and an understanding of their needs Preferred qualifications - Software engineering experience with an infrastructure, data, privacy, and/or security focus - Proficiency with large-scale data tooling, such as distributed processing, lakehouse table formats, and/or query engines - Understanding of data processing pipelines, LLM training, and/or provenance and lineage - Experience with secure enclaves, confidential computing, clean rooms, or other purpose-built environments for sensitive data - Background in eDiscovery, litigation support, or records retention at scale, including chain of custody and verifiable integrity The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.

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 Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude often have the most demanding needs, with rigorous requirements around end-user experience, procurement, security, and permissions. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for a Staff+ Full Stack Engineer for our Enterprise pillar—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company rolls out Claude to 100,000 employees, the admin, governance, and management experiences you build are what their IT leaders, security teams, and end users touch every day. This is a high-agency role where the product questions are as open as the architecture ones: you'll help decide what these products are, not just how they're built, and you'll see your work land with real teams at the world's largest enterprises. What you'll do - Own technical design and delivery for enterprise-facing products end-to-end across the stack—from admin consoles and governance surfaces to the APIs and data models behind them - Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec - Set technical direction and standards for your team: architecture, code quality, and how the team builds - Work directly with enterprise customers, admins, and sales during key conversations, translating what you learn into engineering priorities - Build the primitives that let the world's largest organizations deploy, govern, and get value from Claude at scale - Mentor other engineers and raise the technical bar across the team, working with influence rather than authority You may be a good fit if you - Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level - Have led the design and delivery of complex customer-facing products across the full stack - Have built enterprise SaaS products and understand what IT admins, security reviewers, and procurement teams need to say yes - Are comfortable working directly with enterprise customers and translating what you learn into technical decisions - Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on - Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have - Experience with enterprise identity, permissions, and administration surfaces (SSO/SCIM, RBAC, audit, usage and spend visibility) - Experience building AI products and turning model capabilities into applications people actually use - Experience as startup founders or early-stage employees The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.