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Strategic Finance, Ads
About the Team OpenAI’s Strategic Finance organization provides financial insights and guidance to support the company’s long-term strategy and ambitious growth. We partner across Product, Partnerships, Engineering, and GTM to allocate resources to the highest-impact opportunities while protecting sustainable unit economics. The Applications Technology Strategic Finance team partners closely with Product to scale core offerings and bring new products to market. We lead revenue forecasting and performance management across the product portfolio, including economic margins, pricing, and partnership deal pricing and structuring. About the Role We are hiring a senior strategic finance thought partner to support OpenAI’s Ads business. You will partner closely with Ad Sales leadership and be responsible for driving financial planning and forecasting, evaluating new initiatives, and providing decision-quality insights on performance. You will help build the financial foundations required to scale the Ads business—from forecasting and performance measurement to supporting our GTM strategy to economic modeling for new products and initiatives. This is a unique opportunity to influence the trajectory of frontier AI products while working at the intersection of strategy, finance, and technology. This role is based in San Francisco, CA or New York, NY. 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: - Serve as the Strategic Finance partner to our Ads sales team, helping shape business strategy and investment decisions. - Support financial evaluation for our Ads business, including modeling revenue, establishing core metrics, identifying leading indicators, tracking variance to expectations, and surfacing risks and opportunities. - Partner with Product and GTM leaders on strategic initiatives and new product launches to shape growth plans. - Analyze business trends and translate data into actionable insights that inform both long-term strategy and day-to-day decision making. - Build and scale financial planning rigor, including forecasting methodology, management reporting, and performance narratives that improve decision velocity and accountability. - Stay up to date on market trends and competitive dynamics to refine financial strategies. - Prepare and deliver high-quality executive and Board materials communicating business performance, key drivers, and strategic recommendations. You might thrive in this role if you have: - 8+ years of experience in investment banking, consulting, or buy-side investing, coupled with operating experience at a fast-paced, scaling technology company. - 2+ years in Ads Finance, with Ads P&L ownership and experience supporting growth across multiple verticals, formats, and international markets. - Exceptional analytical and financial modeling skills, including building detailed operating models and product P&Ls to evaluate growth opportunities and investment decisions. - Strong business judgment and the ability to critically assess financial performance, opportunities, and risks. - The ability to translate complex financial data into clear insights and recommendations, and communicate them effectively to senior leadership. - High attention to detail and a commitment to accuracy in financial analysis and reporting. - Familiarity with digital advertising business models. - A hands-on, roll-up-your-sleeves mentality and comfort operating in a fast-moving, ambiguous environment. - Enthusiasm for the deployment of AI and OpenAI’s mission. - Experience with SQL. 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.
Growth - Lifecycle Lead (B2B)
About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering. About the Role We are hiring a Lifecycle Lead to build the company-wide owned-channel capability that helps teams reach businesses with relevant, timely, and trustworthy experiences. This senior, hands-on leader will set the small and medium business lifecycle strategy, partner with Engineering to build the orchestration and deployment platform, and establish the operating model that allows teams across the company to launch and improve evergreen programs safely at scale. You will sit at the intersection of platform, product, and campaign strategy. You will partner with Engineering, Product, Data Science, and Analytics on the underlying systems, and with Product Marketing Managers and other client teams to design journeys that help new, active, and returning businesses reach value and build durable habits. 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: - Partner with B2B product to set the company-wide vision, roadmap, and operating model for lifecycle and owned-channel engagement. - Partner with Engineering, Product, Data Science, and Analytics to shape the tooling and infrastructure for identity, audiences, eligibility, consent, triggers, orchestration, decisioning, frequency, experimentation, localization, quality assurance, and observability. - Define scalable deployment workflows—including self-service and centrally supported paths, intake, templates, approvals, governance, service levels, and incident response—so teams across the company can launch safely and efficiently. - Partner with Product Marketing Managers and other client teams to translate audience, product, and business goals into evergreen journey strategies across onboarding, activation, continuation, retention, resurrection, and monetization. - Lead the design, launch, iteration, and optimization of templates and journeys across email, push, and in-product messaging, including the deep-linked landing and post-click product experiences that complete the loop. - Partner with Growth DS to build a measurement system that connects reach, eligibility, delivery, engagement, landing behavior, task completion, retained activity, and incremental value through sound experiments and holdouts. - Optimize the small and medium business lifecycle portfolio—not just individual sends—by improving inventory, relevance, personalization, prioritization, and per-user frequency. - Inform our owned channel / upsell strategy–establish a high bar for deliverability, user preferences, localization, and operational quality, and trust while influencing senior stakeholders across the company. You might thrive in this role if you have: - 10+ years of experience in lifecycle, CRM, retention, growth, product marketing, or marketing technology, ideally in a global B2B business serving self serve small businesses, enterprises, and developers. - A track record of building and scaling lifecycle tooling or platforms with Engineering for multiple teams, products, audiences, or markets. - Strong technical and product fluency across event and identity models, data pipelines, APIs, segmentation, triggering, decisioning, experimentation, and deployment systems; coding experience is not required. - Deep campaign and journey craft, with experience designing evergreen programs that move users from message to product value and durable behavior. - Strong experimentation and measurement judgment, including incrementality, holdouts, cohort quality, retention, and lifetime value—not just delivery or click metrics. - Experience creating operating models, governance, templates, and quality standards that increase organizational velocity without creating channel chaos. - Executive-level cross-functional influence and clear communication across Engineering, Product, Data Science, Analytics, PMM, Creative, Legal, Privacy, and regional teams. - A hands-on, systems-oriented leadership style: you can set a multi-year direction, write the brief, inspect the journey, diagnose failures, and make pragmatic tradeoffs in a fast-moving environment. 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.
Digital Campaigns Strategist, 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 Anthropic's Policy Campaigns team turns the company's policy priorities into active campaigns: research and polling, messaging, coalitions, paid media, and external execution. We're hiring a Campaign Strategist to develop and execute paid media campaign strategy, manage agencies, and measure the success of our advocacy campaigns in the US and in priority markets abroad. This is a strategy role. You'll decide what a campaign needs to accomplish, who needs to hear from us, and which messages and tactics will move them. Anthropic works on many policy issues at once, across many markets, and you'll need to understand the full set of issues and find the approach that works across them. You'll direct the agencies that produce and place the work, and bring Policy, Communications, Marketing, Public Affairs, and Legal to agreement on tight legislative timelines. The role also carries a substantial project management load. You'll run several campaigns at once, across time zones and agencies, and keep each one on schedule and on budget. You'll report to the Head of Public Policy Campaigns. Key responsibilities - Design paid and digital campaign strategies for legislative and policy goals, including objectives, audiences, messaging, tactics, phasing, and budget - Develop campaign messaging and tactics with the Campaigns team, executives, Public Affairs, and Communications, and make sure paid media carries the core message - Spot where a campaign could conflict with Anthropic's other policy, commercial, or international priorities, and resolve those tensions before launch - Direct creative and media-buying agencies: set strategy and briefs, scopes and budgets, hold timelines, and hold the work to a high standard - Run several campaigns at once across time zones and agencies: own the timelines, workplans, budgets, and status reporting, and keep partners in the US and abroad aligned - Build rapid response capabilities with Policy, Marketing, Legal, and Communications so campaigns can respond to a news hook or legislative moment in days - Set success measures before launch, report results plainly, and adjust strategy based on what works - Work cross-functionally to find the stories, validators, and moments that make policy arguments concrete for policymakers and opinion formers Minimum qualifications - Experience running digital content and paid media for a corporate affairs team, political campaign, advocacy organization, public affairs firm, or issue campaign, including owning a media budget - Experience managing creative and media-buying agencies, including briefs, scopes, budgets, and performance reviews - Experience running campaigns aimed at policymakers, key opinion formers, or other influential audiences - Experience managing several campaigns or projects at once, with multiple agencies and stakeholders in different time zones - Experience building campaign reporting in spreadsheets or dashboards Preferred qualifications - Experience on state or federal legislative campaigns - Experience running campaigns inside a large organization or coalition with competing priorities - Working knowledge of AI safety and technology policy issues - Experience running campaigns in markets outside the US - Hands-on familiarity with ad platforms and targeting, such as Meta, LinkedIn, and programmatic buying The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Member of Technical Staff (New Grad)
Welcome! This is the general application portal for university students and recent graduates who wish to be considered for full-time Member of Technical Staff positions at Perplexity. Our elite new grad cohorts enjoy unparalleled mentorship, top-of-market compensation, and the chance to tackle some of the deepest, thorniest challenges in frontier intelligence https://www.perplexity.ai/hub/blog/category/research. NOTE: if you attend one of our target schools listed below, please do not apply via this portal as it is infrequently monitored. Apply instead via the school-specific application portal to ensure your application receives priority attention. EARLY CAREER TALENT @ PERPLEXITY Perplexity believes that exceptionally talented individuals at any stage can thrive in our high-velocity, high-ownership culture. Our early career talent program revolves around: - Breadth: New grads at Perplexity work across the stack, from Perplexity's agent harnesses to our AI inference and training systems. Many of our most beloved features and most important systems were shipped by individuals fresh out of school. - Depth: New grads are entrusted (and expected) to dive deep into whatever problem domains you work on. Often, your work will require you to become a world expert in some problem space that few others in the world have encountered. - Mentorship & Growth: We keep the size of our entering new grad cohorts at well below 10% of our technical team. Each individual enjoys a rich network of mentors to help them grow, and our new grads have a track record of becoming some of Perplexity's most senior and prolific team members. - Recognition: We select for the best and we recognize them accordingly. We set our early career compensation to rise well above that of top tech companies and startups. Post-hire, we aggressively recognize and reward growth in role. - Mission: Perplexity is AI for people who expect more. Our mission is to build frontier intelligence for the world's most discerning users, and each contribution you make will directly advance that mission. TARGET SCHOOLS We operate formal recruiting programs at a select number of schools. If you attend or recently graduated from one of the below schools, please do not apply via this application portal. Instead, apply via your school-specific application portal: - Columbia https://pplx.ai/2026Columbia - Cornell https://pplx.ai/2026Cornell - CMU https://pplx.ai/2026CMU - Duke https://pplx.ai/2026Duke - Harvard https://pplx.ai/2026Harvard - MIT https://pplx.ai/2026MIT - Michigan https://pplx.ai/2026Michigan - Penn https://pplx.ai/2026Penn - Princeton https://pplx.ai/2026Princeton - Purdue https://pplx.ai/2026Purdue - Stanford https://pplx.ai/2026Stanford - UC Berkeley https://pplx.ai/2026Berkeley - UIUC https://pplx.ai/2026UIUC - UNC Chapel Hill https://pplx.ai/2026UNC - UWashington https://pplx.ai/2026UW - Yale https://pplx.ai/2026Yale ACADEMIC REQUIREMENTS If you are not applying from a target school listed above, we typically require you to possess the following qualifications: 1. GPA of ≥3.92, averaged across all Math and CS classes. 2. Grade of A or A+ in your school's upper-level algorithms course. Additional advanced coursework in areas such as systems, AI/ML, advanced math, and other rigorous subjects is highly welcome. NOTE ON FELLOWSHIP OPPORTUNITIES This portal accepts applications for full-time roles at Perplexity. Internship applications are not accepted via this portal. If you're interested in short-term opportunities with our team, you may instead be interested in the Perplexity Research Fellowship. The Fellowship has a separate application process detailed here https://pplx.ai/fellowship. Note that Fellowship applications are extremely competitive; in particular, we don't expect to admit any undergraduate students to the Fellowship before their final year of study.
Software Engineer, Search Infrastructure
About the Team The Search Product Infrastructure team builds the systems that power search experiences across ChatGPT. We partner with teams developing models, operating inference infrastructure, building specialized search experiences, and maintaining search indexes to bring advances in models and retrieval into production. Our work spans search orchestration, model serving, experimentation, and distributed systems, with direct impact on answer quality, responsiveness, reliability, and efficiency at ChatGPT scale. About the Role As a senior engineer on the Search Product Infrastructure team, you will design, build, and operate the systems that connect models with search at ChatGPT scale. You will tackle challenges in search orchestration, inference efficiency, experimentation, and production reliability, making tradeoffs that directly shape answer quality and user experience. Working closely with researchers and partner engineering teams, you will own projects from technical design through launch and iteration, evolving the architecture as models, product capabilities, and demand grow. 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: - Design and evolve the services that coordinate search classification, retrieval, ranking, and model inference, working closely with researchers and partner engineering teams to bring new capabilities into production. - Improve end-to-end latency, throughput, and infrastructure efficiency through profiling, caching, request routing, and capacity planning, making informed tradeoffs between search quality, reliability, and compute cost. - Build experimentation tooling and automation to run reproducible A/B tests, define success metrics, and measure product impact. Use shadow traffic and load testing to validate system behavior, estimate capacity needs, and support safe production rollouts. - Own production reliability through observability, resilient fallback behavior, incident response, and automation that improves launch safety and reduces operational toil. - Build search APIs and tool interfaces that enable models and agents to retrieve information reliably while respecting access controls and preserving source attribution. You might thrive in this role if you: - Have significant experience designing, building, and operating large-scale distributed systems, with depth in performance, reliability, or resource efficiency. - Bring experience in one or more of search, information retrieval, ML infrastructure, inference serving, or other high-throughput online systems. - Have strong programming and systems debugging skills, and are comfortable working across languages and unfamiliar parts of a production stack. - Can turn ambiguous product or research needs into clear technical plans, align partners across teams, and carry projects through deployment and measurable results. - Enjoy learning across systems and ML, investigating unfamiliar problems, and sharing technical decisions and lessons clearly with others. 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.
Senior Frontend Engineer
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 TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE (Onsite in Boston) We’re looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise platform product for LLM application observability, testing, and debugging. WHAT YOU WILL DO - Develop new user-facing features using React & Typescript - Build reusable components and front-end libraries for future use - Translate designs and wireframes into high-quality code - Optimize components for maximum performance across a vast array of web-capable devices and browsers - Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability WHAT YOU WILL BRING - Extensive front-end engineering experience with strong proficiency in React, JavaScript and TypeScript - Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn - Familiarity with REST APIs and experience working closely with fullstack and backend engineers - Knowledge of modern authorization mechanisms, such as JWTs - A passion for user experience, design and building clean, engaging, and intuitive interfaces - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders - The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company - An ownership mind-set. You are self-driven and look for opportunities to make an impact. - Strong computer science fundamentals, ideally with a degree in computer science or related field Compensation Annual salary range: $175,000-$240,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Partner Marketing Manger, GSI & SI
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 Partner Marketing Manager for Global and Regional System Integrators at Anthropic, you'll own marketing for our highest-performing services partners. That includes Global Premier GSIs and the regional systems integrators (RSIs) closing the most partner-attached Claude deals. You'll report to the lead for Services Partner Marketing and work alongside each partner's Partner Account Manager. You'll build a joint marketing plan with each partner and run executive programs and joint announcements. You'll also turn partner deliveries into the customer proof our field needs. Partners are now attached to a large and fast-growing share of Anthropic's biggest enterprise deals. Your job is to make those partnerships deliver more every quarter. This role is hands-on. You'll think strategically about each partner relationship while running the campaigns, events and enablement yourself. Our scaled programs team supports the rest of the partner network. You'll focus on the partners where hands-on marketing moves the most business, and use those scaled programs where they fit. Key responsibilities Partner Marketing Strategy & Execution - Own joint marketing plans for an assigned group of high-performing GSI and RSI partners, including quarterly planning, campaign calendars, and success metrics tied to target accounts and pipeline goals - Develop joint campaigns and executive programs (CXO dinners, executive briefings, tentpole event activations) aimed at C-suite and senior decision-makers at enterprise customers - Work with Partner Account Managers and the Alliances team to identify priority accounts and build account-based plays that leverage partner relationships - Lead joint announcements from first draft through approvals, holding partner copy to Anthropic's messaging and brand standards - Spot RSIs gaining traction and help them grow into higher tiers Content, Proof & Enablement - Build joint value propositions, messaging, and enablement materials (pitch decks, solution briefs, case studies) that help partners position Claude with their enterprise clients - Turn partner deliveries into proof: capture wins for sellers, and work with Customer Marketing to produce partner-led customer stories that meet each partner's tier requirements - Get your partners carrying Anthropic's priority messages and launches, and build them into Anthropic's own campaigns with the Campaigns team - Put the team's co-marketing guidelines, campaign kits and self-serve assets to work across your partners Program Management & Measurement - Lead end-to-end execution with your partners, coordinating across product marketing, demand generation, field marketing, events and agencies - Manage partner funding (MDF/co-op) for your partners and track ROI on joint investments - Track and report partner-sourced and influenced pipeline, story output, and campaign ROI, with 30/60/90-day pipeline tracking on every activation - Represent Anthropic at partner events, executive briefings, and industry conferences as needed - Feed what works back into playbooks the scaled programs team can run across the wider partner network Minimum qualifications - Have built and run partner marketing programs with Global System Integrators, major consulting firms, or regional systems integrators, and can shift between large firms and smaller, faster-moving ones - Understand enterprise buyer journeys and can create marketing programs that resonate with C-level executives - Are skilled at developing joint value propositions that articulate clear business outcomes for enterprise customers - Build trusted relationships with partner marketing and sales teams, and can move a partner on priorities you don't control - Can own a partner portfolio end to end within a team strategy, and know when to escalate - Are highly organized and detail-oriented, and can run multiple partner plans at once without dropping quality - Write clearly and precisely, with experience creating executive-level content and holding partner copy to a high bar - Are data-driven and comfortable tracking marketing metrics, analyzing performance, and optimizing programs based on results - Thrive in fast-paced, high-growth environments and are comfortable with ambiguity and changing priorities - Have a "get it done" mentality and aren't afraid to jump in wherever needed to ensure program success - Care about the societal impacts of AI and are excited about enabling enterprises to adopt AI responsibly Preferred qualifications - Have 7+ years of marketing experience, with significant focus on partner marketing in B2B technology environments - Experience in the AI/ML industry or working with AI-powered products - Established relationships within the GSI, consulting or regional SI ecosystem - Worked on the partner side, at a GSI or SI, in alliance or technology partner marketing - Experience with tiered partner programs, including benefits and promotion reviews - Experience producing partner-led customer stories with enterprise customers - Understanding of enterprise AI use cases across different industries and functions - Experience with CRM systems (such as Salesforce) and partner relationship management tools - Used Claude or other AI tools to scale their own marketing work Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco, Seattle, or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. If based in Seattle or New York, this role will require traveling to the San Francisco office once a month. Additionally, this role may require up to 20% of the time for partner meetings and partner events. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Partner Manager, Microsoft Co-sell
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 Claude is available to enterprises through Microsoft Foundry, and the Microsoft partnership has become one of our most important paths to market. Many of the largest enterprises in financial services, healthcare and life sciences, and the public sector buy Microsoft first, and we want Claude to be the obvious choice when they do. As Partner Manager for Microsoft Co-Sell, you will turn that partnership into pipeline and closed revenue. You will build and run joint sales plays with Microsoft's field organization, connect Anthropic account executives with their Microsoft counterparts on shared target accounts, and make sure deals that start in a co-sell conversation actually close through Azure Marketplace. You will own your work end to end, from the details of a single stuck deal to the executive readout on how the partnership is performing. Key responsibilities - Own the co-sell engine day to day: design joint sales plays with Microsoft around the strongest enterprise use cases, run account mapping with Microsoft sellers, and turn introductions into working groups and joint opportunities that show up as pipeline - Keep deals moving through Azure Marketplace, including private offers, billing setup, and partner attribution; track every opportunity through that process, know where it is stuck and who needs to act, and work with both sides until it closes - Run the regular pipeline and escalation rhythm with Microsoft - Give Anthropic and Microsoft leaders a clear view of what is working and what is blocked - Bring field insight back to our product and go-to-market teams - Own at least one major joint initiative with Microsoft, such as a flagship event, a product workstream, or deal operations Minimum qualifications - Experience owning a revenue or pipeline number through a partner or co-sell motion, with results you can point to - Working knowledge of how enterprise deals transact through a cloud marketplace, including hands-on experience unblocking stuck deals - Strong attention to detail and operational rigor, with the ability to turn that detail into a clear, concise story for executives - A record of taking full ownership of your work: closing loops and keeping stakeholders informed proactively - Ability to keep a stalled deal or program moving through repeated blockers until it is resolved - Ability to build trust across a large, matrixed partner organization, with field sellers and their leaders alike Preferred qualifications - Experience selling or partnering around AI, ML, or developer platform products - Direct experience with Microsoft's partner ecosystem, such as Partner Center, Azure Marketplace, and the co-sell program - Experience selling into financial services, healthcare and life sciences, or the public sector 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: $215,000 - $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.
APAC Recruiting Coordinator
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is growing quickly across Asia Pacific, and our International Recruiting Coordination team is building for it. As our first Recruiting Coordinator based in Singapore, you'll deliver a warm, high touch interview experience for candidates across APAC, including Japan, Korea, India, Australia, New Zealand and South East Asia. You'll partner closely with our APAC recruiters and recruiting managers, be the local point of contact for candidates and interviewers in the region and help keep hiring moving around the clock as part of a follow the sun coordination model with your teammates. As you'll be first in seat, you'll also help shape how coordination works in a region where we're still building: spotting what's missing, documenting what works and making it easier for the people who join after you. You'll own coordination for your region end to end and act as our go to operator for APAC hiring logistics, working independently with support from your manager. Responsibilities: - Schedule a high volume of APAC interview loops, from hiring manager screens through onsites, debriefs and reference calls, across multiple time zones, languages and stakeholder calendars. - Be the primary point of contact for candidates on logistics, with a warm, clear and culturally aware tone that makes every candidate feel supported and informed. - Partner with recruiters and hiring managers as a trusted advisor: flag capacity risks, local holidays and market norms early, and help them see around corners. - Keep our systems accurate for APAC roles, including Greenhouse job setup, interview plans; scheduling tool configuration and supervise automations. - Provide coverage within our follow the sun model, with clean handoffs so candidates never feel the gaps between regions. - Support recruiters and RecOps with regional hiring operations as our APAC footprint grows, such as new locations, entity changes, offer logistics and onboarding handoffs. - Improve our processes and document what works. - Independently scope and lead projects, from problem to adopted solution. - Use AI tools as a core part of your daily workflow. You may be a good fit if you have: - 4+ years of experience in recruiting coordination or high volume scheduling, ideally supporting multiple APAC markets. - Experience coordinating across time zones and markets, with an understanding of local business norms across APAC. - Hands-on experience with an applicant tracking system (e.g., Greenhouse) and a scheduling tool (e.g., ModernLoop, GoodTime). - Excellent written communication, especially a knack for friendly, informative emails that build rapport and convey information clearly. - Comfort creating structure where there isn't one yet, and the judgment to know when to escalate. - Hands on fluency with AI tools, and the judgment to know when to trust the output and when to override it. - A love of feedback, and comfort both requesting and providing it. - Fluency in English (native or business-level). - Additional APAC languages (e.g., Japanese, Korean or Mandarin) a plus. - A genuine interest in Anthropic's mission and our deep commitment to AI safety. 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.
Applied AI Engineer, Startups (Codex)
About the team The Applied AI Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems. About the Role As an Applied AI Engineer focused on Codex for startups, you will help developers and founders transform how they build and ship software. You’ll combine hands-on engineering, startup experience, and compelling technical communication to help teams turn the potential of AI coding tools into practical, effective workflows. Presentations and community engagement are central to this role. You will engage developers and founders through technical talks, live demos, workshops, and programmes across the startup ecosystem, alongside targeted work with individual customers. You’ll build reusable tools and resources that extend your impact, and bring insights from developers back to OpenAI’s Product, Research, and Engineering teams. This role is well suited to someone who enjoys both hands-on building and sharing what they learn with others. You should be as excited to lead a room of developers, deliver an engaging presentation, and build relationships across the startup community as you are to explore a technical problem in code—with a focus on sustained adoption and meaningful improvements in how startups work. In this role, you will: - Partner with top startups to identify where Codex can have the greatest impact on how their teams build and ship software. - Design and lead technical talks, live demos, workshops, hackathons, and repeatable hands-on programmes that turn initial interest into sustained adoption. - Work directly with selected customers to build Codex workflows, integrations, and automations, resolve technical blockers, and evaluate effectiveness and reliability. - Turn successful approaches into reusable code examples, guides, and tools that help more startups succeed with Codex and OpenAI’s broader platform. - Collaborate with account teams, developer experience, and ecosystem partners to reach developers and founders, prioritise opportunities, and drive measurable customer value. - Translate customer experiences and developer feedback into actionable insights for OpenAI’s Product, Research, and Engineering teams. You’ll thrive in this role if you: - Have experience building at, founding, or working closely with early-stage startups, and understand the pace, ambiguity, and practical trade-offs involved. - Bring strong software engineering fundamentals and enjoy building practical AI applications, integrations, and developer tools. - Are an active user of Codex or other AI coding tools, with a thoughtful perspective on how they can improve software development. - Are a compelling communicator who enjoys presenting, delivering live demos, and leading hands-on workshops for developers and founders. - Have a talent for turning complex technical ideas into clear explanations, engaging examples, and reusable resources that help others succeed. - Combine developer empathy with sound technical judgment: you can uncover what a team needs, troubleshoot problems, and help them adopt effective, reliable workflows. - Bring high agency, curiosity, and end-to-end ownership, working independently while collaborating closely with colleagues and ecosystem partners. 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.
Customer Success
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 Join Anthropic's Customer Success team as our early Singapore-based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across ASEAN, helping them harness the full potential of all our Claude capabilities - Claude Enterprise, Claude Code, and the API. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our product development and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. As our early CSM in Singapore, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: - Build trusting, strategic relationships with customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion - Become an expert in Anthropic's products across API, Claude Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions - Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/adoption and how it creates realized value for the customer - Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both our consumption-based and seat-based products to drive full value from contracted commitments - Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness on new products and engaging Product PMs as the voice of ASEAN and broader APAC customers - Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment - Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows - Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement - Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic - Build Anthropic's brand and customer relationships as the early in-region CS presence, developing where needed, ASEAN-specific processes, playbooks, and best practices that account for regional business cultures You may be a good fit if you have: - 8+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/Functional Consultant, Success Engineer or similar) - Mandarin language fluency - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns to various audiences - Strategic mindset to identify growth opportunities and translate them into actionable expansion plans - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Strong project management skills and a knack for bringing order to chaos, demonstrating an enthusiastic "roll up your sleeves" mentality and team player mindset - Passion for AI and interest in responsible development of advanced systems - Experience working in and building a growing region, while navigating across time zones with US-based headquarters 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.
Machine Learning Engineer, Core Experimentation
About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence. We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes safely. We are evolving experimentation systems to help teams learn from product behavior and make better evidence-based decisions. Based out of OpenAI’s Bellevue office, we are a close-knit team that values in-person collaboration, urgency, craft, and impact. We build for other builders, and the best version of this team is one where every OpenAI product team can move faster because the experimentation and rollout layer is dependable, fast, and easy to use. About the Role We are looking for a Machine Learning Engineer to lead the technical direction for ML-powered experimentation and insights capabilities. You will build production systems that learn from privacy-protected product and experimentation data to generate evidence-backed insights and support decision-making, and help teams decide which ideas are worth testing live. This is an end-to-end, 0-to-1 role. You will work across ML modeling, retrieval and LLM systems, statistical methods, simulation, data and training pipelines, backend services, and user- and agent-facing product experiences. The hard part is not merely producing a plausible answer. It is making each insight and prediction traceable, calibrated, useful, and safe enough to influence real product decisions. Live experiments remain the source of causal validation. You will design systems that make uncertainty explicit, backtest against historical outcomes, compare predictions with online results, learn from misses, and abstain when the evidence is weak. You will preserve clear review, permission, and approval boundaries as automation becomes more powerful. You will collaborate closely with teams building ChatGPT, Codex, model measurement workflows, consumer products, Growth, business subscription experiences, developer products, and shared infrastructure. You will turn their most important learning and decision problems into general platform capabilities that can support the full company. In This Role, You Will - Set and execute the technical roadmap for Generative Insights and Predictive Experimentation, from early prototypes through production adoption. - Build cross-experiment learning systems that retrieve and synthesize historical experiments, detect recurring effects and segment behavior, reanalyze prior results when data or methods improve, and generate hypotheses with clear evidence and provenance. - Develop predictive models and simulation workflows, including simulation-based evaluation approaches, to estimate likely impact, affected segments, regression risk, and uncertainty before a full live experiment. - Create high-quality datasets and feature or retrieval pipelines from exposures, events, metrics, experiment metadata, and replay data, with strong lineage, freshness, privacy, and data-quality controls. - Establish rigorous evaluation through offline benchmarks, backtests, calibration, drift monitoring, prediction-to-outcome comparisons, and explicit failure or abstention behavior. - Turn models into durable product, API, and agent workflows that move from an insight to experiment design, approval-gated action, and measured learning. - Partner deeply with data science and product teams on experiment design, causal inference, sequential decision-making, variance reduction, and the boundary between prediction and causal evidence. - Build reliable services and intuitive workflows so sophisticated ML capabilities are understandable and useful to teams making high-stakes product decisions. - Provide technical leadership across engineering, product, data science, and research partners, and raise the bar for production ML quality across the platform. You Might Thrive In This Role If You - Have led ambiguous 0-to-1 production ML products where success was measured by better real-world decisions, not only offline model metrics. - Have strong hands-on experience across the ML lifecycle: dataset design, training or adaptation, evaluation, deployment, monitoring, and iteration. - Bring depth in one or more of LLM and retrieval systems, ranking or recommendation, forecasting or anomaly detection, causal ML or experiment analysis, or simulation. You do not need to have done all of them. - Have strong software engineering fundamentals and can build high-quality production systems in Python while working comfortably across data, backend, and platform boundaries. - Have a strong grounding in machine learning, statistics, computer science, or a related field through formal study or equivalent practical experience. - Understand experimentation and statistical reasoning, especially why predictive accuracy is not the same as causal validity. - Treat calibration, uncertainty, provenance, privacy, and human review as product requirements, not cleanup work. - Can translate ambiguous partner questions into a product and technical roadmap, and work well with product, data science, research, and infrastructure partners. - Enjoy building for internal power users and agents, and can make sophisticated ML capabilities feel clear and actionable. - Value in-person collaboration and want to help shape a growing Bellevue-based team. Location and Workplace This role is based in Bellevue, Washington. The team works in person and uses that time to move quickly, solve ambiguous problems together, and stay close to the product teams we support. 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.
Staff Product Manager, Agentic Commerce
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Agentic payments is a team that’s building new API and integration experiences for agentic commerce online. We think that the proliferation of consumer-facing AI experiences will unlock new ways that consumers buy things online, and our existing payments experiences need to evolve to new commercial models that cutting-edge builders are starting. Our first launch, Instant Checkout in collaboration with OpenAI, took the industry by storm and we’re bringing experiences like that to the entire universe of AI agents, and sellers. What you’ll do As a Staff Product Manager on Agentic Commerce, you’ll own the vision and execution of transformative products that redefine how commerce works, making it more fluid, automated, and aligned with user intent. You’ll collaborate closely with engineering, design, data science, and marketing to unlock new opportunities for our customers and partners globally. Our north star provides a new integration shape for AI agents who are looking to build agent-powered online commerce experiences, via their Stripe integration. They will have access to our entire suite of connected sellers, and can focus on the experience with the end-user. Enabling an AI agent to do this requires new API primitives, new dashboard surfaces, and deep thought about what financial and e-commerce complexity Stripe can simplify on their behalf. Responsibilities - Define and drive the product roadmap for agentic commerce solutions that empower users, from automated merchant tools to intelligent purchasing workflows and beyond. - Build full stack solutions across Stripe's ecosystem, including back end services, dashboard interfaces, money movement systems, and integrations with other Stripe primitives - Partner deeply with engineering and design to ship high impact features that increase user autonomy and reduce friction. - Strong analytical skills: comfort diving into data to test hypotheses and make informed trade-offs. - Collaborate cross-functionally across Stripe’s broader platform and product teams to integrate agentic commerce capabilities seamlessly. - Engage directly with users (particularly large enterprises) to understand their business needs and translate requirements into novel product shapes. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 12+ years of Product Management experience - Computer Science background or equivalent technical experience - Demonstrated experience of leading initiatives across large engineering organizations, spanning multiple teams to influence tech roadmap planning and execution - Strong written and verbal communication skills, structuring ambiguous concepts clearly and from first principles - Thrive in a collaborative environment involving different functions, stakeholders, and subject matter experts - Deep empathy for users balancing autonomy and guidance in digital commerce experiences. Preferred qualifications - Experience building APIs or new integration experiences for users - You enjoy using social media to interact directly with customers for feedback - You’ve founded a business / startup, taking a product from 0-1 - Experience building APIs or new integration experiences for users - Experience in eCommerce
Senior Software Engineer, ML Infra - Asset Safety
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Safety and Civility is Roblox's #1 priority, and our mission is to protect our global community. As a Senior Software Engineer on the Asset Safety team, you will serve as a hands-on technical leader building resilient, highly scalable systems to ensure millions of daily user-generated assets remain safe and civil. You will tackle complex engineering challenges across diverse modalities—including 3D content, code, images, and video—operating at platform-wide scale across billions of engagement hours while maintaining efficient, low-frequency high-throughput processing. You will: - Architect, build, and optimize end-to-end ML-based safety moderation systems to detect and mitigate problematic content using scalable distributed architectures and event-driven, asynchronous workflows. - Deliver production-grade, AI-driven safety products end-to-end in a dynamic environment, driving execution from initial ideation to deployment while aligning key cross-functional stakeholders. - Drive technical roadmap decisions, implement robust observability and reliability practices, integrate strict security and compliance standards, and enforce rigorous testing and CI/CD pipelines while mentoring engineering team members. - Partner closely with Moderation Operations, Product Management, Data Science, and partner engineering teams across Roblox to deliver cohesive safety solutions. You have: - 5+ years of professional software engineering experience designing, building, and deploying large-scale ML infrastructure and distributed production systems. - Deep backend engineering expertise in high-capacity microservices, advanced distributed architecture, scalable data storage and management, and event-driven asynchronous processing. - Proven technical leadership with a track record of architecting, building, and deploying low-latency, distributed ML services to production end-to-end. - Practical experience with streaming and messaging platforms (e.g., Apache Kafka, Apache Flink), end-to-end testing, CI/CD pipelines, security compliance, and comprehensive system observability. - Hands-on experience with computer vision techniques and multi-modal architectures spanning image, audio, video, and 3D content modeling. - Experience fine-tuning large Vision-Language Models (VLMs) is a plus. You are: - Resourceful: Adaptable in fast-moving environments, with a track record of driving solutions through complex challenges. - Analytical: Driven to investigate large, complex, and ambiguous technical challenges, using data to quantify problem scope and measure solution effectiveness. - User-Oriented: Committed to prioritizing the needs of platform users and internal technical partners when designing and scaling backend architecture. - Team-Oriented: Dedicated to elevating engineering peers, serving as an active mentor, and cultivating a high-standard culture of engineering excellence. - Mission-Oriented: Focused on core organizational goals, bringing strategic foresight and adaptability to balance long-term technical vision with immediate business impact. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $278,530 - $328,610 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Deployment Strategist Lead - USA
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 $11B - 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 As a Deployment Strategist Lead, you'll be fully responsible for opening up a new market for ElevenLabs, and building a team to make it happen. This is a senior position in which you’ll operate as if a co-founder, working alongside an experienced sales leader, of an effective startup moving from 0 -> 1 within our broader org, aiming to deploy our voice AI technology at the most Strategic customers in the market against their most challenging problems. All the while you’ll be able to leverage support from the rest of ElevenLabs to accelerate. You will be responsible for hiring the team you need, winning the first customers in the market and ensuring that our product generates impact for them. No two days are the same, but you should expect to: - Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points. - Build and lead a team of forward deployed engineers within the region. - Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions. - Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations. - Guide customers on best practices for implementing our voice and audio AI models to maximize their effectiveness. - Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives. - Collaborate with our Research and Product teams to incorporate field insights into ElevenLabs' software products and AI models. - Build and deliver compelling demos of our voice and audio AI technology to new and existing customers. - Scope out potential applications in new industries and expand our AI solutions across different sectors globally. - Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions. - Collaborate daily with our customers' engineering and executive teams to ensure optimal implementation of ElevenLabs' technologies. REQUIREMENTS - Executive Stakeholder Engagement: Proven experience engaging and influencing C-suite and VP-level stakeholders, both internally and at customer or partner organizations. - People Leadership: Demonstrated ability to hire, develop, and manage high-performing technical teams while fostering a collaborative and results-driven culture. - Basic proficiency in Python and understanding of API integration to implement scripts and help with prototyping/demo building. - Excellent communication and problem-solving skills, especially in terms of ability to summarize complex technical concepts and using logic in pursuing optimal solutions. - Technical aptitude to quickly understand our voice and audio AI models and their applications. - Strategic and Commercial Awareness: Ability to align technical strategy with business objectives, with an understanding of deal structures, go-to-market motions, and revenue impact. - Nice to have: Partner Ecosystem Development - Experience identifying, building, and nurturing relationships with system integrators, resellers, and technology partners to drive market growth. 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.
Talent Partner, G&A
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! ABOUT THE ROLE Cohere is in a unique and exciting position to grow our G&A team globally! We are expanding our Talent Team and are looking for a creative, high-performing G&A talent partner who is eager to take on a new challenge as we are in the early stages of building the Talent Acquisition function. In this role, you will master a new domain of recruiting, recruit world-class talent, and influence the scaling of a high-growth Canadian tech company. If you consider yourself resilient, collaborative, influential, and a lifelong learner, we’d love to hear from you! WHAT YOU’LL DO As an intermediate Talent Partner for Cohere, you will: - Own the full lifecycle recruitment process, attracting and recruiting top talent for G&A (Legal, Finance, Marketing, People, etc.) at Cohere. - Make sure our candidates have a world-class recruiting experience with us. - Work with hiring managers and leaders to create effective recruiting strategies. - Keep us up-to-date with talent market and industry insights so we can make informed decisions. - Keep track of recruiting funnels in Ashby our ATS, and update the progress regularly. - Find creative ways to proactively source and recruit candidates to optimize the top of the funnel. - Build relationships with diverse tech and talent communities. - Bring in other exciting talent projects and take ownership of them! - Attend and represent our Talent Acquisition team at industry conferences as well as plan and execute curated networking events. WHO YOU ARE - 3-7 years of G&A full-cycle recruiting experience scaling high-growth teams (experience at startups is a plus). - You are a creative problem solver and thrive under pressure. We are a fast-growing scale up and with that comes ambiguity and change. - You are a natural influencer and enjoy working cross-functionally. - You love data and take a data-driven approach to your recruiting. - You are passionate about diversity, community, and ensuring an equitable recruiting process. - You are leveraging AI within your workflow to automate processes. 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 https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, 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 https://cohere.com/careers page.
Manager, Executive Assistants (People)
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! Why this role? The Admin team at Cohere is looking for an Executive Assistant to support Cohere's SVP of People, and to manage some of our global EA team. In this dynamic and collaborative role, you will thrive in a fast-paced environment, working cross-functionally to provide high-value support. You will manage executive calendars, coordinate travel arrangements, enhance team cohesion through various initiatives, and take on diverse projects. Additionally, you will be responsible for managing a high performing team of EAs across the company. We are seeking someone who is eager to dive into the challenges and opportunities that come with supporting our executive team. If you have a passion for providing seamless administrative support and contributing to a high-performing organization, this role is ideal for you. In this role, you will: - Manage the day-to-day schedule for our SVP of People, including calendaring, booking meetings [internal and external] and other commitments to ensure a balanced and efficient workday - Coordinate internal and external meetings (think 1:1s, board meetings, partner meetings) and assist with documentation that may be required in conjunction with meetings - Oversee travel arrangements and logistics for our leadership team, including booking flights and accommodations, schedule, and expense reconciliation - Serve as a strategic partner to your executive, orchestrating cross-functional initiatives to drive executive productivity and effectiveness - Work directly with your executive’s department leads to drive strategic planning, manage priorities, and maximize your executive’s productivity - Manage the day to day operations of part of the EA team, including 1:1s, performance management, and career development - Manage the broader EA team to promote collaboration, communication, and efficiency across departments - Work to identify new ways to add value and proactively take on tasks that can help our leadership team be more productive. We’re looking for someone who loves to optimize operations and processes and is equally excited to share their ideas with our team! - Take on special projects like coordinating team events or community-building activities - Communicate effectively with internal and external stakeholders while maintaining a strict level of confidentiality You may be a good fit if you have: - 7+ years of experience working as an Executive Assistant or equivalent experience - 2+ years of experience managing a high performing Admin team - You anticipate others needs and can work proactively to address them - Previous experience partnering with senior leaders in a fast-paced, innovative environment - You are a strong communicator, both written and verbal - and feel comfortable speaking to C-level stakeholders. - You are highly self-motivated and exercise discretion, tact, and professionalism - You’re detail-oriented, love staying organized, and stay cool under tight deadlines - Experience with tools like Slack, Google Calendar, Google Sheets, Google Slides - You enjoy a balance of collaborative and independent work. - Experience creating and maintaining positive working relationships with internal and external stakeholders. 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 https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, 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 https://cohere.com/careers page.
Head of Non-Tech Talent
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! The Opportunity We're seeking an experienced Head of Non-Tech Talent to lead our comprehensive hiring strategy for all non-technical roles. This is a pivotal position as we build out our capabilities across General and Administrative (G&A) Go to Market (GTM) Finance, Legal, and other business-critical functions. You'll transform how we attract, hire, and develop top talent beyond while building and coaching a high performing global talent team. This is an opportunity to join an ambitious high performing, scale up company. Key Responsibilities - Strategic Talent Leadership: Develop and execute the non-tech talent strategy aligned with Cohere's growth plan and business objectives while partnering with TA leads across the organization - Team Development & Coaching: Recruit, mentor, and develop a high-performing team of non-tech recruiters, sourcers, and coordinators; create career paths and succession plans - Process Innovation: Design and implement scalable hiring processes for non-technical roles while maintaining our high-quality standards - Business Partnership: Serve as the primary talent advisor to our Talent Leads and partner closely with our Executive stakeholders within non-technical business units - Employer Branding: Elevate Cohere's employer brand specifically for non-technical talent through targeted campaigns and storytelling - Data-Driven Decision Making: Establish comprehensive metrics and analytics to track hiring effectiveness, quality of hire, pipeline health, and ROI for all non-tech initiatives - Talent Pipeline Development: Build and maintain diverse talent pools for critical non-technical Director + level roles using data insights and partnering with our standalone Sourcing function - Cross-Functional Collaboration: Partner with People Operations and business leaders to ensure seamless onboarding and integration - Budget & Resource Management: Oversee non-tech recruitment budget and optimise resource allocation across priorities using data-driven forecasting Required Qualifications - Experience: 12+ years in talent acquisition and leading non-technical hiring teams - Super Scale Expertise: Proven success scaling recruitment functions 10x+ during hyper-growth phases (from 800+ employees) - Strategic Foresight: Demonstrated ability to anticipate talent needs 6-12 months ahead of business growth curves - Data-Driven Approach: Deep expertise in talent analytics, metrics development, and data-informed decision making - Team Development: Exceptional coaching and mentoring skills with track record of building high-performing teams - Non-Tech Focus: Deep experience hiring for HR, Admin, Support, Finance, Legal, and other business roles within a tech setting - Process Excellence: Experience designing and implementing scalable, data-driven hiring processes - Leadership: Strong track record of developing high performing and high volume team members and creating meaningful career progression paths Preferred Qualifications - Experience in tech companies or fast-paced environments with scale experience - Knowledge of AI industry and its talent landscape - Experience with international hiring and remote teams - Background in employer branding and talent marketing - Experience with predictive analytics and talent forecasting tools Why Join Us - Impact: Build the talent foundation for Cohere's next phase of growth to 2,000+ employees - Scale Leadership: Lead a critical function during our transformation - your strategies will shape our ability to scale - Innovation: Work at the intersection of AI and business operations with a data-first mindset - Culture: Collaborative, mission-driven environment with world-class talent - Growth: Opportunity to develop your own leadership capabilities while building a world-class team - Data Influence: Your insights will directly influence executive decisions and business strategy 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 https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, 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 https://cohere.com/careers page.
Executive Assistant (Sales)
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! Why this role? We are looking for a solutions-driven, detail-oriented, organised Executive Assistant to support our leadership team in Toronto, New York and beyond. Reporting to the EA Manager for the sales org, this person will have the opportunity to work cross-functionally and provide high value and impact to the sales leadership team and the company as a whole. If you are someone that thrives in a dynamic, collaborative, and fast-paced environment and are interested in joining a company that’s in growth mode, we’d be delighted to hear from you! Please Note: We are looking for candidates based in the Eastern Timezone As an Executive Assistant, you will: - Manage the day-to-day schedules for our sales leadership team, including calendaring, booking meetings and other commitments (where necessary) to ensure a balanced and efficient workday - Coordinate internal and external meetings (think 1:1s, partner meetings) and assist with documentation that may be required in conjunction with meetings - Arrange international/domestic travel and logistics for our leadership team, including booking flights and accommodations, scheduling, and expense reconciliation - Work to identify new ways to add value and proactively take on tasks that can help our leadership team be more productive. We’re looking for someone who loves to optimize operations and processes and is equally excited to share their ideas with our team! - Be willing to take on special projects like supporting team events, off sites or community-building activities - Communicate effectively with internal and external stakeholders while maintaining a strict level of confidentiality - Create and maintain internal documentation, share knowledge, and also work on formatting communications for the leadership team You may be a good fit if you: - Have 3-7 years of experience working as an Executive Assistant, Administrative Assistant, or equivalent experience - Anticipate others’ needs and can work proactively to address them - Have previous experience partnering with senior leaders in a fast-paced, growing, innovative environment - Have experience managing multiple calendars, demonstrating flexibility and problem-solving abilities to adjust or prioritize schedules - Are a strong communicator, both written and verbal - and feel comfortable speaking to C-level stakeholders - Are highly self-motivated and exercise discretion, tact, and professionalism - Are detail-oriented, love staying organized, and stay cool under tight deadlines - Are experienced with tools like Slack, Google Calendar, Google Sheets, Google Slides - Enjoy a balance of collaborative and independent work - Have experience creating and maintaining positive working relationships with internal and external stakeholders 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 https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, 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 https://cohere.com/careers page.
Executive Assistant (Communications & Marketing)
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! Why this role? We are looking for a solutions-driven, detail-oriented, organized Executive Assistant to support our leadership team in Toronto, New York and beyond. Reporting to the EA Manager, this person will have the opportunity to work cross-functionally and provide high value and impact to the leadership team of the Comms and Marketing Teams and the company as a whole. If you are someone that thrives in a dynamic, collaborative, and fast-paced environment and are interested in joining a company that’s in growth mode, we’d be delighted to hear from you! Please Note: We are looking for candidates based in the Eastern timezone (Toronto/New York etc) As an Executive Assistant, you will: - Manage the day-to-day schedules for our Comms and Marketing leadership team, including calendaring, booking meetings and other commitments (where necessary) to ensure a balanced and efficient workday - Coordinate internal and external meetings (think 1:1s, partner meetings) and assist with documentation that may be required in conjunction with meetings - Arrange international/domestic travel and logistics for our leadership team, including booking flights and accommodations, scheduling, and expense reconciliation - Work to identify new ways to add value and proactively take on tasks that can help our leadership team be more productive. We’re looking for someone who loves to optimize operations and processes and is equally excited to share their ideas with our team! - Be willing to take on special projects like supporting team events, off sites or community-building activities - Communicate effectively with internal and external stakeholders while maintaining a strict level of confidentiality - Create and maintain internal documentation, share knowledge, and also work on formatting communications for the leadership team You may be a good fit if you: - Have 3 - 7 years of experience working as an Executive Assistant, Administrative Assistant, or equivalent experience - Anticipate others’ needs and can work proactively to address them - Have previous experience partnering with senior leaders in a fast-paced, growing, innovative environment - Have experience managing multiple calendars, demonstrating flexibility and problem-solving abilities to adjust or prioritize schedules 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 https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, 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 https://cohere.com/careers page.
SEO / AEO Manager
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. ABOUT THE ROLE We're looking for someone to own Runway's SEO and AEO strategy, end to end. You’ll build out our library of SEO content at scale, run experiments to sharpen what's working, own technical SEO health and report on what’s working to drive organic growth. This is a hybrid strategy-and-execution role. You won't just hand off a keyword list and wait. You'll be optimizing a piece of content one day and making a technical case to our development team the next. WHAT YOU'LL DO - Own Runway's SEO and AEO strategy: Keyword cluster architecture (pillar-and-spoke), competitive SERP and content-gap analysis, understanding what stage of the buying journey a searcher is in so content matches what they actually need, as well as champion Runway's presence in AI-generated answers. - Build out Runway's library of SEO content: Briefs, landing pages, articles and more, identifying and scoping high-opportunity content, without sacrificing quality or brand voice - Design and run experiments on content formats, internal linking and page structure and use the results to sharpen the strategy - Own technical SEO health: Indexing, sitemaps, structured data and schema markup, ongoing site monitoring and recommend site structure and information architecture changes (page templates, internal linking, URL structure) that improve crawlability and rankings - Own measurement and reporting for organic growth: Track keyword rankings, organic traffic and AI citation trends against clear targets, and go beyond traffic volume to measure whether that traffic actually converts into product signups WHAT YOU'LL NEED - 4+ years in SEO, with experience contributing to overall strategy - Experience building or scaling an SEO function from a small base, moving fluidly between strategic and hands-on work - Experience collaborating across teams, including managing freelancers and partnering with product, marketing and design teams - Proficiency with GA4 and Google Search Console, plus keyword/competitive research tools like SEMrush or Ahrefs - Experience in AEO / AI-search visibility, with the ability to bake it into a broader SEO strategy - Experience using Profound, AirOps, or similar AEO tool is a plus - Experience at an AI, product-led or consumer-facing tech company is a plus, where SEO has to coexist with a fast-moving roadmap 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. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway 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 https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Customer Education Specialist
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. ABOUT THE ROLE *Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle Runway is growing fast, and so is the surface area of what users need to learn. We're looking for an Education Content Specialist to keep our Help Center accurate, our Academy content well-produced, and our users set up for success from day one. You'll sit within the Experience & Enterprise Enablement team, working closely with the Education & Enablement lead to execute against a content roadmap that spans written documentation, video scripts, and self-service resources. Every feature launch will have your fingerprints on it. You're the person who makes sure users don't have to guess. WHAT YOU’LL DO - Write, update, and maintain Help Center articles across product features, billing, policies, and troubleshooting — keeping documentation accurate as the product moves fast - Coordinate with engineering and product at launch time to ensure articles are live before features ship - Audit existing Help Center content for accuracy and discoverability; surface recommendations based on support ticket trends and user feedback - Create and maintain self-service content — FAQs, quick-start guides, troubleshooting flows — that reduces ticket volume and helps users help themselves - Draft scripts for Runway Academy video tutorials, walkthroughs, and course modules - Support production of Academy content: create supporting assets, prepare materials for recording, and help get finished content published and organized - Build and maintain a library of templates, prompt guides, and project starters across Runway's tools - Support production and publishing of office hours, webinars, and live Q&A sessions - Keep Help Center documentation and Academy content consistent and cross-referenced - Track the performance of content you've produced — article engagement, search deflection, CSAT — and flag gaps to the Education & Enablement lead - Work with legal to ensure usage policies and terms are accurately reflected in customer-facing content WHAT YOU’LL NEED - 2-3 years of experience in technical writing, documentation, education content, or a similar role at a software or SaaS company - Ability to translate complex product features into clear, user-friendly language — across articles, scripts, and guides - Experience shipping documentation on tight timelines with cross-functional dependencies - Comfort with help center platforms (Zendesk, Intercom, or similar) and content management systems - Familiarity with video content production and an instinct for how to structure and pace educational content - Strong editorial judgment — you catch inconsistencies before they go live - Organized and autonomous working style; you can manage a documentation backlog while staying responsive to urgent launch needs - A bias toward action and a belief that no task is too small - Familiarity building with LLMs to streamline and automate processes NICE TO HAVE - Experience with AI or creative tools — with genuine curiosity about how they work - Background in or passion for the creative space — video, design, animation, or related fields - Experience using support data (ticket volume, search queries, CSAT, completion rates) to prioritize content work 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. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway 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 https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Staff+ Software Engineer, Payments & Billing, Cons...
About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ engineers to evolve the payments, billing, and subscription capabilities that support OpenAI’s growing product portfolio. You’ll tackle problems where correctness, reliability, and flexibility are essential: supporting new billing requirements, managing the billing lifecycle, synchronizing state across internal systems and external providers, and enabling new products and commercial models. Your work may span several areas based on your expertise and team priorities: - Billing and monetization capabilities: Extend billing capabilities and improve integrations and state consistency across systems to support new products and business models. - Subscriptions: Orchestrate purchases, renewals, plan changes, cancellations, and recovery, ensuring customers are charged correctly and receive the right benefits. - Payments: Expand payment capabilities through processor integrations, routing, and broader payment-method coverage. - Risk and integrity: Partner with risk and integrity teams to integrate controls into purchasing flows, reducing abuse while protecting legitimate customer experiences. You’ll help set technical direction while remaining hands-on in implementation and delivery. This is an opportunity to solve complex engineering problems at scale, connect architecture decisions to customer and business outcomes, and help other engineers take on broader ownership. This role is based in San Francisco, with three days per week in the office. In this role, you will: - Architect and build shared services and APIs that make billing, subscription, and payment capabilities easier to adopt and extend across products. - Design lifecycle orchestration and state synchronization across internal services, billing vendors, payment processors, and app stores. - Solve correctness and recovery problems involving asynchronous events, partial failures, retries, and reconciliation. - Improve payment success and resilience through processor integrations, routing, and recovery strategies. - Work with risk and integrity teams to incorporate abuse prevention into purchasing flows while maintaining a reliable customer experience. - Build testing, observability, and operational tooling that make failures easier to detect, diagnose, and resolve. - Lead initiatives from problem definition and technical design through implementation, rollout, and ongoing operation. - Partner with Product, Finance, Operations, and engineering teams to balance immediate launch needs with long-term platform investments. - Provide technical leadership through hands-on development, design reviews, and mentorship. You might thrive in this role if you: - Have demonstrated technical ownership at Staff level or beyond, shaping architecture and delivering substantial initiatives across teams. - Have deep experience designing, building, and operating backend or distributed systems in production. - Reason carefully about data modeling, state transitions, idempotency, consistency, concurrency, and failure recovery. - Have built systems where correctness and reliability are critical, including integrations with external providers and complex dependencies. - Combine strong technical judgment with product and business understanding, making pragmatic decisions as requirements evolve. - Bring clarity to ambiguous problems and communicate effectively with technical and non-technical partners. - Enjoy hands-on engineering while helping other engineers develop their judgment and take on broader ownership. Experience in payments, billing, subscriptions, memberships, e-commerce, offers, promotions, or other transactional platforms is particularly valuable. We also welcome engineers with exceptional distributed systems experience who are motivated to develop expertise in these domains. 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.
Senior Technical Recruiter, Engineering Leadership
About the Team OpenAI’s Recruiting team helps bring together the people who advance our mission of ensuring artificial general intelligence benefits all of humanity. We partner closely with leaders across the company to identify exceptional talent, build thoughtful hiring processes, and deliver an outstanding candidate experience. This role supports Applied Foundations, partnering with engineering leaders to hire the managers and senior leaders who will help build and scale OpenAI’s foundational engineering capabilities. About the Role We’re looking for an experienced technical recruiter with a strong track record of hiring engineering leaders. You’ll own leadership searches from initial role definition and talent mapping through assessment, offer negotiation, and close. You’ll serve as a trusted advisor to senior engineering leaders, helping clarify what each role requires, understand the talent market, and make thoughtful hiring decisions. You’ll bring the judgment to navigate ambiguous searches, the credibility to engage accomplished engineering leaders, and the persistence to build relationships well before someone is ready to make a move. Experience in executive search or an in-house leadership recruiting function is particularly valuable. You should be equally comfortable shaping a search strategy and personally doing the work to deliver a successful hire. In this role, you will: - Lead full-cycle searches for engineering managers and senior engineering leaders across Applied Foundations. - Partner with hiring leaders to define role scope, leadership expectations, technical requirements, and the outcomes a successful hire will deliver. - Develop talent maps and targeted search strategies, combining direct sourcing, referrals, market research, and long-term relationship building. - Engage passive leadership candidates through thoughtful outreach and substantive conversations about their experience, motivations, and potential impact at OpenAI. - Partner with hiring teams to assess leadership capabilities, including building teams, developing managers, setting technical direction, and leading through change. - Advise senior stakeholders using market intelligence and search evidence, including when to revisit requirements, broaden a talent pool, or adjust the hiring approach. - Own complex closing strategies, partnering with hiring leaders and compensation colleagues to navigate competing opportunities, equity considerations, counteroffers, and career decisions. - Maintain a rigorous operating rhythm across searches, communicating progress, surfacing risks early, and delivering a consistent, thoughtful candidate experience. - Strengthen leadership recruiting practices by sharing insights, improving assessment approaches, and helping teammates navigate challenging searches. You might thrive in this role if you: - Bring substantial technical recruiting experience, with a demonstrated track record of personally owning and closing engineering leadership searches. - Have experience in executive search, in-house leadership recruiting, or a comparable environment requiring targeted research, senior stakeholder partnership, and discretion. - Can evaluate leadership scope beyond titles and partner with hiring managers to distinguish technical expertise, people leadership, and organizational impact. - Build credibility with senior engineering leaders and offer clear recommendations, including constructive pushback when needed. - Have successfully managed complex offers and understand how compensation, role scope, organizational context, and personal motivations influence a leadership candidate’s decision. - Combine strategic judgment with strong sourcing and execution skills, taking ownership from search kickoff through close. - Learn unfamiliar technical domains quickly and adapt effectively as priorities or role requirements evolve. - Communicate clearly, handle sensitive information thoughtfully, and approach feedback with humility and a willingness to update your perspective. 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.
Mobile / Full Stack Staff+ Software Engineer, Cons...
About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ engineers with deep iOS or Android expertise and demonstrated experience contributing beyond mobile to frontend web or backend development. You’ll shape and build purchasing and subscription experiences across mobile applications, web, and supporting product APIs. The work spans improving conversion, performance, and reliability, building reusable components, and enabling new product launches. You’ll combine product judgment with technical depth to set direction, lead initiatives across teams, and remain hands-on through implementation and delivery. Approximately 50% of the work will initially be native mobile development, with the remainder across web and product APIs. We’re looking for engineers who enjoy working across the stack and have concrete examples of doing so professionally. Depth in either iOS or Android is required; experience in both is not required. This role is based in San Francisco, with three days per week in the office. In this role, you will: - Architect and build purchasing and subscription experiences across native mobile, mobile web, and supporting product APIs. - Partner with Product, Design, and Growth to identify customer needs, prioritize improvements, and shape technical direction for purchasing experiences. - Improve conversion, performance, and reliability through experimentation, product analytics, and customer insights. - Develop reusable purchasing components and capabilities that help teams launch and monetize new products. - Collaborate with engineering and cross-functional partners to deliver reliable purchasing experiences and support product launches. - Lead initiatives from exploration and technical design through implementation, launch, and ongoing operation. - Set engineering standards and provide technical leadership through hands-on development, design reviews, and mentorship. You might thrive in this role if you: - Have demonstrated technical ownership at Staff level or beyond, shaping architecture and delivering substantial initiatives across teams. - Have deep expertise in iOS or Android and a track record of shipping and operating production mobile applications. - Have professional experience contributing to frontend web or backend development and enjoy working across platforms to move things forward - Combine strong engineering fundamentals with product intuition and attention to performance, reliability, and the details of the customer experience. - Use data and experimentation to identify opportunities and evaluate the impact of your work. - Bring clarity to ambiguous problems, align partners, and make thoughtful tradeoffs between immediate product needs and reusable capabilities. - Enjoy hands-on engineering while helping other engineers develop their judgment and take on broader ownership. Experience in e-commerce, growth, checkout, subscriptions, or mobile monetization is particularly valuable, as is experience with app-store billing integrations and mobile release processes. 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.
Full Stack Staff+ Software Engineer, Consumer Mone...
About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ full-stack engineers to shape purchasing experiences and monetization capabilities across OpenAI products. You’ll work across web experiences, product APIs, and shared components, combining strong product judgment with technical depth. The work ranges from improving checkout conversion and performance to enabling new pricing models, offers, and ways for customers to purchase our products. You’ll help identify opportunities, turn ambiguous goals into concrete technical plans, and lead initiatives from exploration through launch. As patterns emerge across products, you’ll develop reusable capabilities that make future launches faster and more consistent. This is a hands-on technical leadership role with substantial ownership over architecture, implementation, and product outcomes. This role is based in San Francisco, with three days per week in the office. In this role, you will: - Architect and build purchasing experiences end to end, from frontend interactions through the product APIs and backend integrations that support them. - Improve checkout conversion, performance, and reliability through experimentation, product analytics, and customer insights. - Develop shared checkout components and monetization capabilities that support new products, pricing models, offers, and distribution channels. - Partner with Product, Design, Growth, and Data Science to identify opportunities, define experiments, and evaluate results. - Lead initiatives from early exploration and prototyping through implementation, rollout, and ongoing operation. - Shape frontend and product API architecture, balancing immediate delivery with maintainability and reuse across products. - Work across engineering teams and business functions to turn complex requirements into simple, effective customer experiences. - Provide technical leadership through hands-on development, design reviews, and mentorship. You might thrive in this role if you: - Have demonstrated technical ownership at Staff level or beyond, shaping architecture and delivering substantial initiatives across teams. - Have strong experience building sophisticated web applications and the backend APIs that power them. - Have repeatedly taken customer-facing products from ambiguous ideas through production and ongoing iteration. - Understand how frontend performance, latency, interaction design, and API architecture affect customer experience and business outcomes. - Combine strong product instincts with experience using experimentation and A/B testing to decide what to build and measure its impact. - Make pragmatic tradeoffs between shipping quickly and investing in reliable, reusable systems. - Communicate clearly across functions and can move work forward without a fully defined roadmap. - Enjoy hands-on engineering while helping other engineers develop their judgment and take on broader ownership. Experience in e-commerce, growth, checkout, subscriptions, offers, or monetization is particularly valuable. Direct payments experience is helpful 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.
Abuse Investigator - Scams & Fraud
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 real world deployment and iteratively updating based on what we learn. The Intelligence and Investigations team supports this by identifying and investigating misuses of our products – especially new types of abuse. This enables our partner teams to develop data-backed product policies and build scaled safety mitigations. Precisely understanding abuse allows us to safely enable users to build useful things with our products. About the Role As an Abuse Investigator specializing in scams and fraud on the Intelligence and Investigations team, you will investigate misuse of OpenAI products that could deceive or defraud people and organizations. You will assess complex cases, distinguish harmful activity from legitimate use, and make well-supported recommendations for action. You will respond to time-sensitive issues and work with partners across the company as investigations evolve. This role calls for strong investigative judgment, technical fluency, and clear communication. In this role, you will: - Investigate potential scams and fraud involving OpenAI products, including complex or coordinated activity, and document clear, defensible findings. - Assess urgent and ambiguous cases, distinguish substantiated abuse from legitimate use, and recommend proportionate responses. - Communicate findings, uncertainty and recommendations clearly to leadership and cross-functional partners. - Work with colleagues across the company to improve how OpenAI responds to emerging scams and fraud. You might thrive in this role if you: - Understand online scams and financial fraud, and can adapt as tactics and risks evolve. - Bring strong technical and analytical skills, including experience working with complex information and learning new tools. - Make careful judgments from incomplete or conflicting evidence and state the limits of your conclusions. Relevant language or regional expertise is a plus. - Have at least five years investigating online scams, financial fraud, cybercrime or related forms of online abuse. - Have at least two years of experience conducting applied abuse research or improving investigative practices. - Write clear, well-supported reports and explain findings to technical and nontechnical audiences. - Understand how AI products can be misused and can adapt your investigative approach as products and risks change. 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.
Strategy & Operations Lead, UK
About the team OpenAI’s mission is to build safe artificial general intelligence that benefits all of humanity. Our EMEA organization translates OpenAI’s global mission and strategy into meaningful local impact, working across Growth, Product, Marketing, Partnerships, Finance, Research, Operations and Compliance. About the role As Strategy and Operations lead, you will develop country strategies, identify the most important market opportunities and barriers, align cross-functional teams around a focused set of priorities, and personally drive initiatives through to measurable outcomes. This is an individual-contributor role. The primary focus is Consumer, with opportunities to create adjacent impact across B2B. You will go deep in a small number of priority markets while building approaches that can scale across EMEA. This is not a strategy-only role. The successful candidate will combine rigorous analysis and market judgment with urgency, hands-on execution and the ability to influence without formal authority. This role is based in London. 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 - Build country strategies: Develop plans, priorities and forecasts for key European markets and translate company strategy into practical local action. - Drive growth and conversion: Use data, customer insight and experimentation to improve acquisition, engagement, retention, conversion and monetization. - Lead market expansion and localization: Identify opportunities, build scalable launch frameworks and determine where products and go-to-market should adapt. - Turn strategy into execution: Personally move initiatives from diagnosis and prioritization through delivery, measurement and iteration. - Lead cross-functional teams: Align Product, Growth, Marketing, Brand, Partnerships, Finance, Research, Operations and Compliance around shared outcomes. - Represent regional insight: Ensure European market and customer perspectives shape global roadmaps and decisions. - Measure and scale impact: Define success metrics and determine when a successful local approach should be replicated. You might thrive in this role if you - Have 10 years + of experience in growth, strategy, business operations or quantitative analytics with meaningful responsibility for outcomes. - Have developed country, regional or multi-market strategies and translated them into focused execution plans. - Bring exceptional analytical and problem-solving skills, including forecasting, financial modeling and growth metrics. - Can show examples of personally taking initiatives from insight through launch and measurement. - Understand European markets while maintaining a regional and scalable perspective. - Communicate clearly with senior stakeholders and influence teams without formal authority. - Operate with high ownership and urgency in ambiguous, resource-constrained environments. - Have a deep interest in AI and alignment with OpenAI’s mission. 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.
Strategy & Operations Lead, France
About the team OpenAI’s mission is to build safe artificial general intelligence that benefits all of humanity. Our EMEA organization translates OpenAI’s global mission and strategy into meaningful local impact, working across Growth, Product, Marketing, Partnerships, Finance, Research, Operations and Compliance. About the role As Strategy and Operations lead, you will develop country strategies, identify the most important market opportunities and barriers, align cross-functional teams around a focused set of priorities, and personally drive initiatives through to measurable outcomes. This is an individual-contributor role. The primary focus is Consumer, with opportunities to create adjacent impact across B2B. You will go deep in a small number of priority markets while building approaches that can scale across EMEA. This is not a strategy-only role. The successful candidate will combine rigorous analysis and market judgment with urgency, hands-on execution and the ability to influence without formal authority. This role is based in Paris. 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 - Build country strategies: Develop plans, priorities and forecasts for key European markets and translate company strategy into practical local action. - Drive growth and conversion: Use data, customer insight and experimentation to improve acquisition, engagement, retention, conversion and monetization. - Lead market expansion and localization: Identify opportunities, build scalable launch frameworks and determine where products and go-to-market should adapt. - Turn strategy into execution: Personally move initiatives from diagnosis and prioritization through delivery, measurement and iteration. - Lead cross-functional teams: Align Product, Growth, Marketing, Brand, Partnerships, Finance, Research, Operations and Compliance around shared outcomes. - Represent regional insight: Ensure European market and customer perspectives shape global roadmaps and decisions. - Measure and scale impact: Define success metrics and determine when a successful local approach should be replicated. You might thrive in this role if you - Have 10 years + of experience in growth, strategy, business operations or quantitative analytics with meaningful responsibility for outcomes. - Have developed country, regional or multi-market strategies and translated them into focused execution plans. - Bring exceptional analytical and problem-solving skills, including forecasting, financial modeling and growth metrics. - Can show examples of personally taking initiatives from insight through launch and measurement. - Understand European markets while maintaining a regional and scalable perspective. - Communicate clearly with senior stakeholders and influence teams without formal authority. - Operate with high ownership and urgency in ambiguous, resource-constrained environments. - Have a deep interest in AI and alignment with OpenAI’s mission. 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.
Rack Power Engineer
About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a Rack Power Engineer with deep expertise in high-power conversion and distribution to design, qualify, and support power systems for AI supercomputers. You will own rack power solutions—including power shelves, AC/DC rectifiers, power supply units (PSUs), power management controllers (PMCs), and high-current distribution—from requirements and supplier development through deployment. You will also monitor fleet rack power health, lead debugging and root-cause investigations, and drive improvements into hardware, firmware, and qualification coverage. 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 rack power architecture and requirements for high-power AI supercomputing systems, including power budgets, AC input interfaces, DC distribution, redundancy, efficiency, serviceability, and integration with data center infrastructure. - Drive the design and supplier development of power shelves, rectifiers, PSUs, PMCs, busbars, connectors, and protection circuits. Review electrical designs and control behavior, and evaluate performance, cost, reliability, and availability trade-offs. - Define and execute component, shelf, and rack qualification plans covering load transients, current sharing, hot-swap, startup and shutdown, redundancy failover, fault protection and recovery, thermal limits, and AC disturbances and ride-through. - Partner with firmware and software teams to define and validate PMC functionality, telemetry, alarms, power sequencing, power capping, and fault handling. Verify communication interfaces, firmware updates, interoperability, and regression coverage. - Characterize rack power under representative AI workloads. Translate steady-state demand and fast power excursions into design margins, protection settings, energy-storage needs, and deployment requirements with system and data center teams. - Establish fleet rack power health metrics with operations teams. Analyze telemetry, event logs, and failure trends to detect degraded power capacity, redundancy loss, current imbalance, and recurring power faults. - Lead lab and fleet debugging across power hardware, firmware, and system interfaces. Reproduce failures, identify root causes with suppliers, validate corrective actions, and feed lessons into designs, qualification tests, and fleet remediation. - Work with electrical, mechanical, thermal, firmware, manufacturing, reliability, and data center teams to take rack power systems through prototype builds, qualification, production, and deployment. Drive supplier test reviews, manufacturing test coverage, and closure of power-related issues. - Evaluate emerging rack power technologies, including higher-voltage DC distribution and battery or supercapacitor energy storage. Partner with suppliers to qualify viable solutions and with safety and compliance teams to address applicable product requirements. You might thrive in this role if you: - Have at least 10 years of industry experience in power electronics or power delivery systems, including hands-on design and qualification of high-power rack or data center power systems. - Have a master’s degree in Electrical Engineering, Power Electronics, a related field, or equivalent practical experience. - Have strong knowledge of AC/DC rectifiers, power shelves, PSUs, and DC distribution, including three-phase inputs, power conversion topologies, control-loop stability, current sharing, redundancy, protection coordination, and high-current busbars and connectors. - Have experience defining and qualifying PMCs or related power controllers, including telemetry, fault management, hardware–firmware integration, and interfaces such as PMBus, I²C, CAN, or Ethernet. Understand how rack power controls interact with system power management. - Have strong laboratory and debugging skills using oscilloscopes, power analyzers, programmable AC sources, electronic loads, and data acquisition systems. Can build automated tests, analyze fleet telemetry with tools such as Python, and drive root-cause investigations through verified corrective actions. - Have taken power products from requirements through qualification and production with suppliers and cross-functional teams. Bring familiarity with safety, EMC, and reliability qualification; communicate technical trade-offs clearly; and work effectively through ambiguity. Experience with high-density AI racks, OCP power architectures, or energy-storage systems is a plus. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. 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.
M&A Finance Integration Lead
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.
Head of Sourcing Enablement & Delivery
About the Team Strategic Sourcing & Procurement helps OpenAI secure the products, services, and partnerships that support our research, build our products, and grow our business. We work with teams across the company to make sound commercial decisions and move important work forward. As OpenAI grows, we are rethinking how sourcing works: bringing expertise into decisions earlier, simplifying contracting, and using AI to give Procurement more time for judgment and strategic work. What we learn internally—and through our supplier and enterprise-buyer relationships—can also inform better products, partnerships, and industry adoption. About the Role We’re looking for a senior leader to head Sourcing Enablement & Delivery, leading sourcing operational delivery, contracting enablement, and AI transformation—and building Procurement’s contribution to OpenAI’s commercial growth. You will build the teams, systems, service model, and cross-functional partnerships that enable sourcing and contracting at scale, helping teams move quickly without losing commercial discipline or accountability. You will partner with GTM, Sales, and Partnerships to develop Procurement’s contribution to OpenAI adoption and commercial growth. Bring procurement-industry knowledge, buyer insights, and lessons from internal AI use into customer engagement, product feedback, and opportunities across the procurement ecosystem. Reporting to the Head of Strategic Sourcing, you will manage the Sourcing Delivery and Contract Management leaders and shape this new function’s priorities, team, and measures of success. 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. Priorities and what success looks like - A focused roadmap: clear choices about what to build first, what to defer, and how progress will be measured. - Stronger delivery: capable leaders and teams, faster execution, less rework, and fewer unresolved ownership gaps. - AI adoption: sustained use of AI-enabled capabilities, with measurable gains in quality, capacity, and user experience. - Commercial results: increased OpenAI adoption across the procurement industry and a measurable contribution to commercial growth, consistent with independent supplier selection and purchasing decisions. In this role, you will: - Build and lead the organization. Hire and develop managers, coach performance, and build succession and leadership depth. Decide how employees, contractors, delivery partners, and AI share the work. Hold leaders accountable for results, capacity, and team health. - Own sourcing enablement and delivery operations. Set service commitments and quality standards with the Delivery and Contract Management leaders. Match support to deal complexity and risk, and use internal customer feedback to improve the service. Category and Sourcing leads retain ownership of their strategies and deals, including supplier selection, negotiations, and purchasing. - Lead the sourcing operating rhythm. Bring demand, priorities, and capacity into one forward plan, informed by workload and performance data. Work with category leaders to make tradeoffs, resolve dependencies, and follow through on commitments. Provide inputs to Procurement-wide planning and functional business reviews. - Strengthen contracting. Partner with Legal and Procurement Operations/COE on contract lifecycle management, approved templates, and negotiation playbooks that improve quality and free category teams to focus on strategic deals. - Lead RACI development. Define responsibilities, decision rights, handoffs, and escalation paths within Procurement and across partner teams. Define how the team prioritizes work, allocates resources, and resolves delivery issues. - Create mechanisms to bring sourcing into decisions earlier: connect business demand, supplier activity, and renewals—including work outside formal intake—with Sourcing teams, so options can be shaped before commitments and Finance and cross-functional teams can have better visibility. - Build and prove AI-enabled ways of working. Own use-case priorities, adoption, and business outcomes for sourcing and contracting experiences that begin in ChatGPT and connect to trusted enterprise systems. Partner with Finance Enterprise Technology on technical delivery and with Legal, Security, and Operations on controls and support, including preserving access restrictions and contractual commitments. Turn what works into reusable capabilities, demonstrations, and product feedback. - Define Procurement’s commercial-enablement approach with GTM, Partnerships, Legal, and Compliance including program scope, decision rights, purchasing independence, and information-sharing boundaries. Lead Procurement’s analysis, coordination, and follow-through for approved programs; GTM owns customer sales. Maintain independent purchasing decision-making and identify and escalate any proposed linkage between OpenAI’s purchasing commitments and customer sales. - Help define goals and measures of success for Procurement’s contribution to OpenAI adoption and commercial growth with Sourcing leadership and cross-functional partners. - Bring procurement-buyer expertise into GTM. Own this team’s buyer insights and use cases. Work with Marketing, Sales, Product, Customer Success, and Partnerships to shape demonstrations, industry content, and customer conversations, using examples approved for external use. - Drive OpenAI adoption across the procurement industry. Work with Sourcing leadership, partners and GTM to explore how Procurement third-parties and partners can adopt and distribute OpenAI capabilities. Contribute industry expertise and evidence from internal use; GTM and Partnerships own commercialization. - Partner with Legal and Compliance to embed business-integrity and confidentiality safeguards; implement required disclosures, recusals, and independent-decision making arrangements. You might thrive in this role if you: - Have 12+ years of experience in strategic sourcing, procurement, vendor management, or commercial leadership, with strong judgment about supplier choices, negotiations, contracts, and risk. - Have built or transformed a procurement capability through rapid growth or change, with clear evidence of better execution, commercial outcomes, or user experience. - Have managed managers and developed strong teams through hiring, coaching, performance management, succession planning, and thoughtful use of internal and external capacity. - Have worked in or closely with marketing, sales, or commercial teams, ideally serving procurement buyers. You can turn customer needs into use cases and business cases, and deliver commercial results with partner teams. - Know the procurement industry—its buyers, technology providers, service firms, and buying priorities. You understand how to sell to Procurement, including how buyers assess risk, negotiate, and secure internal support. - Use industry analysts, market research, buyer conversations, and professional networks to form a point of view on emerging trends and inform roadmaps, partnerships, and GTM priorities. - Have turned AI, automation, or enterprise technology into capabilities people use. You can work with technical partners, drive adoption, measure improvements, and recognize where human judgment remains essential. - Can set direction when the path is not defined. You prioritize work and resources, explain tradeoffs plainly, and earn support from teams you do not manage. You are curious about AI and willing to test, learn, and change course. 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.
Infrastructure Security Engineer
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. ABOUT THE ROLE *Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring an Infrastructure Security Engineer to secure the platform our models are trained and served on. The role covers Kubernetes platform security, cloud identity and access, software supply chain, tenant isolation in the serving layer and the research infrastructure behind our models. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline, and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what the platform has to enforce to stop it. This is a hands-on engineering role on the Security team. You'll write policy, tooling and infrastructure code, work in the platform team's repositories, and ship controls that hold up in production. WHAT YOU'LL DO - Design and ship security controls in our Kubernetes ecosystem: admission policy, RBAC, workload identity, network policy and runtime hardening across every cluster we run - Harden the software supply chain from dependency intake through build and deploy, including package firewalling, artifact signing and provenance, and admission controls that block what doesn't pass - Own cloud IAM and identity architecture: least-privilege roles, short-lived credentials and workload federation - Secure research infrastructure and training pipelines, including access to model weights and datasets, without slowing down the people using them - Threat model new platform components before they ship and turn the findings into concrete requirements the owning team can act on - Build guardrails for AI agents and developer tooling operating inside our infrastructure - Write infrastructure as code and policy as code, and treat security configuration with the same review and rollout discipline as any other change - Give the incident response team what they need when infrastructure is involved: fast answers about how a system works and what to shut off WHAT YOU'LL NEED - Hands-on experience securing Kubernetes in production: you've written admission policies, debugged RBAC and workload identity problems and understand how a cluster gets compromised - Working knowledge of cloud IAM and networking on at least one major cloud platform, including how identity federation and short-lived credentials actually work - Experience with infrastructure as code and GitOps-style deployment, and the habit of shipping security changes through the same pipeline as everything else - Comfort writing Python, Typescript, Rust or another language to build tooling, not just scripts - An understanding of software supply chain attacks and the controls that stop them: signing, provenance, SBOMs, admission enforcement - Clear writing. Design docs, threat models and explanations to engineers who don't work in security are all part of the job - Judgment about which controls to enforce, which to recommend and how to roll out a breaking change without breaking the company EVEN BETTER IF YOU HAVE - Experience securing GPU or HPC-style compute, training pipelines or research environments - Experience with policy engines and admission controllers (Kyverno, OPA Gatekeeper, Falco or similar) - Multi-tenant isolation design in a cloud environment: ABAC, scoped credentials, per-tenant boundaries - Experience producing security architecture evidence for SOC 2, ISO 27001 or other audits and customer assessments - Open source contributions or published work in cloud or Kubernetes security 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. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway 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 https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Applied Risk Standards Specialist
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. Accordingly, our Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains. We ensure that insights from policymakers inform our work and – in collaboration with our colleagues and external stakeholders – seek to shape policy so that it aligns with and supports our mission. About the role OpenAI is looking for an Applied Risk Standards Specialist to lead standards work for applied risk in applications, including mental health, youth safety, age assurance, functional efficacy, reliability, and privacy-related risks. You will help turn internal research, safety policies, and evaluation methods into technically sound, measurable, and adaptable standards that build public trust and support responsible deployment. This role sits within our AI standards and global assurance function in Global Affairs. Working closely with Safety Systems, Research, Product, Model Policy, Legal, and third-party evaluators, you will author proposals, negotiate requirements, and represent OpenAI in priority standards bodies. You will take on the drafting and external engagement needed to advance this work, enabling technical experts to focus on the underlying methods and evidence. You will also bring emerging requirements back into internal planning before they become established expectations. Alongside this primary portfolio, you will support the AI Standards and Global Assurance Lead on frontier AI assurance, contributing to risk-management standards, evaluation and benchmarking requirements, and approaches to independent assessment. The role connects technical practice with external standards. It does not replace the teams responsible for evaluation methods, safety decisions, controls, internal compliance, or implementation. You will own standards drafting, review coordination, negotiation, and assessment-design contributions within an agreed mandate. In this role, you will - Lead the development of applied AI risk standards. This includes working with technical and policy teams to define and advance standards for mental health, youth safety, age assurance, efficacy, reliability, and privacy-related risks, with a particular focus on evaluations and assessments. - Work with technical owners to turn research, internal policies, and evaluation methods into credible test methods, assessment criteria, and standards grounded in real system behavior. - Bring emerging requirements into internal planning and work with responsible teams to clarify their implications for evaluations, controls, and assurance for our products. - Work with technical and GRC partners on assessor competence, independence, conflicts of interest, evidence access, reporting, and the distinction between management-system audits and technical evaluations. - Contribute drafting, representation, and coordination on frontier risk-management and independent-assessment standards. - Lead assigned standards-body workstreams, negotiate proposals, and coordinate internal input, reducing the external engagement burden on technical experts. Contribute to relevant ISO/IEC, INCITS, NIST consortium, and cross-industry work. - Maintain clear approvals, negotiating positions, contribution records, and implementation handoffs so that external commitments remain connected to technical owners and available capacity. You might thrive in this role if you - Have technical depth in evaluation science, AI evaluations and red teaming, AI safety, or trust and safety, combined with demonstrated ability to translate that expertise into credible standards or assessment methods. - Have authored or materially shaped standards, evaluation criteria, control frameworks, or normative technical contributions—not only coordinated participation. - Can translate a broad safety objective into a clear requirement and explain what evidence would demonstrate that it has been met. - Understand the differences among organizational risk-management processes, model and system evaluations, mitigation testing, and broader assurance claims. - Can evaluate sensitive, context-dependent outcomes, including uncertainty and variation across users and use cases, without overstating what a benchmark or assessment can establish. You do not need to be an expert in every risk domain. - Understand how assessor competence, independence, incentives, and access affect the credibility of an assessment. - Can build consensus without sacrificing technical rigor, and know when to compromise, challenge a proposal, or escalate a decision. - Earn trust with technical teams while communicating clearly with lawyers, executives, policymakers, and external standards participants. - Write precisely, exercise discretion, and can independently move a defined workstream from initial proposal through review, negotiation, and handoff. 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.
Senior Cloud Infrastructure Engineer
Scale is powering this generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Our customers include OpenAI, Microsoft, Adept, Stability AI and many more major players in this space! The Platform team is responsible for building the core abstractions and infrastructure on which the products can be built and iterated rapidly. We are looking for an Operations-focused AWS Engineer with deep experience in infrastructure management, lifecycle maintenance, and security hardening. We are looking for Ops specialists who thrive on optimizing, securing, and maintaining the health of large-scale AWS environments. You have a growth mindset and are comfortable learning new technologies. You Will: - Manage Infrastructure Lifecycle : Lead the end-to-end lifecycle of our AWS infrastructure, including routine patching, version upgrades, and system maintenance to ensure high availability. - Vulnerability Management : Work closely with the Security Team to identify, prioritize, and remediate vulnerabilities across our cloud footprint. - AWS Optimization : Continuously monitor and optimize AWS resource utilization for performance, reliability, and cost-efficiency. - Automate Operations : Use scripting and automation tools to streamline repetitive operational tasks such as fleet-wide patching and configuration audits. - Incident Response & Troubleshooting : Provide technical expertise for troubleshooting infrastructure-level issues and participate in operational health reviews. - Security Compliance : Build and maintain systems that adhere to strict security standards, ensuring our environment remains compliant through response and proactive mitigations. Qualifications: - Extensive AWS Experience : 6+ years of experience with core AWS services (EC2, VPC, IAM, S3, RDS, EKS) and experience managing multi-account environments. - Patching & Upgrades : Proven track record of managing large-scale patching programs and performing major version upgrades for OS and middleware with minimal downtime. - Operational Tooling : Proficiency with AWS Systems Manager (SSM), Terraform, Atlantis, and Kubernetes for configuration management and automation. - Scripting : Familiarity with writing functional scripts (Bash, Python, etc.) to automate operational workflows - focused on system management rather than application development. - Security Focus : Experience with vulnerability scanning tools and a strong understanding of how to harden cloud infrastructure against common threats. - Monitoring & Metrics : Experience using Datadog, CloudWatch, or similar tools to monitor system health and drive optimization efforts. Multi Cloud Experience: Experience with Azure, Google Cloud Platform is a bonus. 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: $143,000 - $178,000 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.
Senior SambaCloud Experience & Ecosystem
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is hiring a Senior SambaCloud Experience & Ecosystem Lead to make SambaCloud a coherent, recognizable, and trusted destination for AI builders and managed customers. You will own the SambaCloud brand experience, user journey, community and partner integrations, and cross-functional operating rhythm while partnering with Product and Engineering on the infrastructure that powers the service. About the Role This role sits at the intersection of Developer Relations, Product, Engineering, Brand, Community, cloud operations, and go-to-market. You will define how SambaCloud shows up—from identity and onboarding to playground workflows, APIs, integrations, sample applications, and high-visibility demos—and turn user and business needs into a prioritized experience roadmap. You will partner with the Product team on underlying platform and infrastructure priorities and ensure developers and managed customers have reliable paths to access and value. Responsibilities - Own the end-to-end SambaCloud experience across brand identity, information architecture, onboarding, playground workflows, APIs, model access, documentation, examples, and key user journeys - Develop and maintain a prioritized experience roadmap that connects developer, community, partner, managed-customer, brand, and demo requirements - Partner with Product and Engineering to translate experience goals into infrastructure, platform, security, reliability, and release requirements - Define and drive integrations that connect SambaCloud to strategic partners, developer tools, community programs, campaigns, events, and managed-customer workflows - Drive delivery planning across scope, milestones, quality, risks, dependencies, reviews, and escalation paths - Build a repeatable demo-readiness program covering environments, API access, model availability, sample prompts, applications, data, scripts, observability, fallback plans, and presenter handoff - Partner with Developer Relations, Product Marketing, Brand, Community, and Partner teams to turn priority use cases into polished, repeatable experiences for launches, events, customers, partners, and executive briefings - Represent the needs of developers and managed customers in cross-functional planning and ensure that access, onboarding, entitlements, support, and experience gaps are addressed - Define and monitor success metrics for activation, time to first successful request, engagement, integration adoption, demo reliability, issue resolution, and user satisfaction - Maintain a clear release calendar and readiness dashboard; communicate status, tradeoffs, risks, and decisions to technical and business stakeholders - Create lightweight playbooks, runbooks, and documentation that allow teams to deliver consistent experiences and demonstrations without relying on tribal knowledge - Evaluate build-versus-partner decisions and ensure all delivered work meets SambaNova’s standards for quality, security, maintainability, brand consistency, and user experience What We’re Looking For - 7+ years of experience in developer experience, technical product management, technical program management, cloud platforms, ecosystem programs, solutions engineering, or a related role - Strong understanding of APIs, cloud services, developer onboarding, model serving, and the workflows developers use to build AI applications - Demonstrated experience owning a digital product or platform experience across user journeys, brand expression, integrations, releases, and operational readiness - Experience coordinating complex technical delivery against clear milestones, acceptance criteria, and measurable outcomes - Track record of coordinating complex releases, integrations, or demos across engineering, product, operations, marketing, and customer-facing teams - Ability to test developer workflows hands-on, identify root causes, write clear requirements, and make practical prioritization decisions - Excellent program management, written communication, stakeholder leadership, and risk-management skills - High ownership and calm execution when timelines are tight and the experience must work Preferred Qualifications - Experience with AI inference platforms, OpenAI-compatible APIs, large language models, agentic applications, or model playgrounds - Experience owning developer portals, API consoles, SDKs, sample applications, credentials, usage visibility, or sandbox environments - Experience designing or governing brand and user experience across a developer-facing product - Familiarity with service reliability, incident workflows, observability, security reviews, and operational readiness for cloud products - Experience supporting managed enterprise customers, high-visibility product launches, executive demonstrations, developer events, or customer proof-of-concepts - Familiarity with delivery governance, acceptance criteria, change control, and performance reporting Why This Role Matters SambaCloud is where many developers, partners, and customers first experience SambaNova. This role will make that experience coherent from brand to infrastructure, connect it to the broader ecosystem, and ensure every important journey—from a first API call to a managed deployment or executive demo—is accessible, credible, and strong. Base Salary Range: Base Pay Range $196,000 - $240,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Senior Analyst Relations Manager
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is hiring a Senior Analyst Relations Manager to build and scale a broad analyst relations program across the hardware, semiconductor, AI infrastructure, and enterprise technology ecosystem. This role will expand awareness of SambaNova, strengthen the company’s technical credibility, and ensure the analysts shaping market perception understand SambaNova’s products, architecture, customer value, and point of view. About the Role This role sits within Product Marketing and works closely with Product, Engineering, Sales, and executive leadership. You will set the analyst relations strategy and operating cadence, build durable relationships across the relevant analyst ecosystem, and create consistent opportunities for SambaNova leaders and technical experts to engage the market. The right candidate combines strong enterprise technology judgment with the ability to turn deep technical material into clear, evidence-based narratives that build awareness and credibility over time. Responsibilities - Build and execute a comprehensive analyst relations strategy spanning semiconductors, AI infrastructure, data center systems, cloud inference, enterprise AI, and adjacent markets - Map the broader analyst ecosystem, identify the voices and research agendas that matter to SambaNova, and develop thoughtful engagement plans - Build long-term relationships with analysts through briefings, inquiries, roadmap sessions, demonstrations, events, and ongoing follow-up - Create a consistent flow of technical proof points, customer evidence, product updates, and market perspectives that strengthen SambaNova’s credibility - Lead participation in relevant research, evaluations, and market-defining conversations, coordinating submissions, demonstrations, references, deadlines, and review cycles - Prepare executives and subject-matter experts for analyst interactions through tailored briefing decks, talk tracks, anticipated questions, and rehearsal sessions - Partner with Product, Engineering, Sales, and executive stakeholders to ensure analyst-facing narratives are technically accurate, consistent, and commercially relevant - Bring analyst feedback, market shifts, and competitive commentary back into product strategy, positioning, go-to-market planning, and executive decision-making - Track awareness, sentiment, share of voice, research coverage, relationship depth, and program impact; use the data to continuously improve the program - Manage analyst-firm relationships, subscriptions, contracts, budget, and internal access to research and inquiries What We’re Looking For - 7+ years of experience in analyst relations, product marketing, strategic communications, or a related enterprise technology role, including direct ownership of analyst programs - A strong understanding of the analyst ecosystem surrounding semiconductors, AI infrastructure, cloud platforms, data center systems, and enterprise technology - Fluency in technically complex B2B markets and the ability to build credibility with both technical specialists and business-focused analysts - Experience preparing senior executives and technical leaders for high-stakes external briefings - Excellent writing, presentation, program management, and stakeholder-management skills - Ability to translate technical depth, market context, and customer proof into a clear and credible point of view - High judgment, attention to detail, and comfort operating independently in a fast-moving environment Preferred Qualifications - Experience building or significantly scaling an analyst relations program at a growth-stage technology company - Established relationships with analysts covering semiconductors, AI infrastructure, cloud, data centers, enterprise AI, or adjacent markets - Experience leading a major market assessment, category-definition initiative, or research engagement from planning through publication - Experience using analyst insight to improve product strategy, competitive positioning, sales enablement, or launch planning - Familiarity with analyst relations measurement, research licensing, vendor contracts, and budget management Why This Role Matters SambaNova is defining a differentiated approach to AI infrastructure in a market where technical credibility and category awareness matter. This role will build the relationships and program needed to help the broader analyst ecosystem understand that differentiation, increase informed coverage, and strengthen SambaNova’s credibility with customers, partners, and the market. Base Salary Range: Base Pay Range $196,000 - $240,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Partner Solution Architect, USA
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 As a member of the Partner Solution Architecture Team, you will work closely with our Partner and GTM teams to drive the adoption of our state-of-the-art enterprise AI platform and models. What you will do - Help onboard Mistral solutions and models to strategic ISV and Tech partner platforms - Execute on effective technical discovery with partners to understand potential clients' needs, challenges, and desired outcomes in collaboration with GTM - Drive enablement at scale across strategic partner technical and sales teams - Create and update assets for partner enablement: technical demos, enablement videos, reference architectures, etc. - Support partners in identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer - Represent Mistral AI at partner, customer, and industry events, including executive briefings, conferences, and developer gatherings - Collaborate with Mistral teams, from Science, Product, Engineering, Support, and GTM to progress and support deals, as well as providing expertise and insights where necessary What we look for - Experience in a technical partner presales, solutions architect, or consulting role with heavy partner and customer-facing exposure. - A track record of building enablement assets and driving evangelism at scale across partner organizations - Experience partnering with ISVs or Technology Partners, driving technical account strategy, proof-of-concept scoping and support, and execution - Strong Python or TypeScript skills - Working knowledge of cloud architecture and deployment patterns for AI and ML solutions - Strong stakeholder management, including comfort with C level conversations, and outstanding presentation skills across technical and business audiences - Bachelor's or Master's in computer science, engineering, mathematics, or related field, or equivalent experience Nice to have - Familiarity with MEDDPICC and Command of the Message. - Working knowledge of Generative AI serving architectures, e.g. vLLM - Working knowledge of Kubernetes WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Detection & Response Engineer
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. ABOUT THE ROLE Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it. You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here. WHAT YOU'LL DO - Own detection and response end to end: what we log, what we alert on, how we triage and how we recover - Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume - Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read - Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit - Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls - Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one - Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find - Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team - Participate in an on-call rotation for security incidents WHAT YOU'LL NEED - Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward - Experience building and tuning detections in a modern SIEM, ideally managed as code - Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs - Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools - Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity - Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job - Judgment about what to alert on, what to automate and when to wake someone up EVEN BETTER IF YOU HAVE - Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets - Experience building detections or guardrails for AI agents, LLM tooling or MCP servers - Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody - Published open source detection content 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. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway 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 https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Strategy & Operations, Office of the CCO
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Office of the Chief Commercial Officer is a small team that works directly with our CCO, go-to-market leadership, and company leadership on Anthropic’s highest-priority commercial initiatives. We take on problems that do not sit cleanly inside one team, such as standing up a program that spans Product, Finance, Legal, and Sales, or preparing the material our executives and Board use to make decisions. Our commercial business is growing faster than its operating processes can be built, so a growing share of the job is stepping into gaps and running something important, while making sure other teams are building the capabilities to permanently own. You will own workstreams end to end. One week that means running the go-to-market side of a pressing situation, from the communications plan for customers and account teams to the daily readout for executives. Another week it means building the analysis behind a resourcing decision or a new program and writing it up for the CCO. This is an internal role. You will report to the CCO’s chief of staff, and you will have an unusually broad view of how the company makes decisions. Key Responsibilities: - Drive priority go-to-market initiatives from plan to delivery, removing blockers, escalating early, and connecting the right people across teams at the right time - Build the analysis, draft the document or deck, and turn input from many teams into a recommendation executives can act on - Prepare content for the CCO and leadership team, including weekly staff meetings, updates to the Office of the CEO, Board materials, and leadership offsites - Track the go-to-market organization’s top priorities and keep a current view of status, owners, and risks - Act as a bridge between go-to-market and Product, Finance, Legal, Safeguards, and Research, so that what account teams hear from customers reaches product decisions and those decisions reach account teams in a usable form - Step in where something important has no clear owner, run it until it has a permanent home, and hand it over cleanly - Close out same-day executive requests quickly and to a high standard You may be a good fit if you: - Have 4+ years of experience in management consulting, strategy and operations, a chief of staff team, or a similarly rigorous environment working with senior executives - Structure ambiguous problems well and get to a clear recommendation - Can get to a number yourself in a spreadsheet, in SQL, or with Claude, check it against a second source, and explain where it came from - Write and speak clearly and briefly for executive audiences - Are as willing to maintain the tracker and chase the last open items as to write the strategy - Are comfortable with significant autonomy and with priorities that shift on short notice, pay close attention to detail, and know when to escalate - Build trust quickly with senior people across the company who are short on time - Use AI tools as a core part of how you work - Care about Anthropic’s mission and about getting safe, useful AI to customers Strong candidates may also have - Experience in technology, SaaS, or enterprise software, or exposure to go-to-market strategy, sales operations, or customer success - Experience running a product launch, a program office, or another cross-functional effort with many owners and a fixed date - Familiarity with how large enterprises buy and adopt technology, including security, legal, and procurement review 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 - $270,000 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.
Policy Research, Strategic Advisory
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're hiring a policy generalist to join the Strategic Advisory team within Anthropic's Public Policy team. You'll develop and maintain our policy research strategy and lead the research behind it, to strengthen Anthropic's policy influence in Washington and around the world. You'll lead the research that backs up Anthropic's policy positions: deciding what evidence a position needs, working with Anthropic's research teams on what our own data can show, building partnerships with outside academics, think tanks and economists, and managing our growing body of commissioned research and economic impact work. You'll turn that research into analysis and materials our federal, state and international teams can use. You'll also run the cross-functional processes that take an open policy question to an agreed, evidence-backed position. As Anthropic's international footprint grows, you'll help the team scale its research and support for markets outside the US. You're likely a strong generalist who likes to build things and see them through, and who gets energy from turning complex research into something clear, organized and useful. You're curious and rigorous about evidence. You ask what would change a skeptic's mind, you can tell a strong study from a weak one, and you know when to bring in a subject matter expert. You have good judgment, you take initiative, and you're comfortable when the path isn't defined yet. You can run several research projects and outside partners at once while keeping track of how they connect. Key responsibilities - Run policy development processes from open question to agreed position: frame the question, bring in the right experts from research, legal, communications and regional policy teams, work through disagreements, and get to a decision - Develop research plans for priority issue areas: what evidence would strengthen or test a position, what Anthropic's own data and research can show, and where an outside partner is the right source - Work with Anthropic's research teams, including economics research, Societal Impacts and the Frontier Red Team, to turn their findings into material policymakers can use - Manage commissioned research from scoping through publication, and build partnerships with outside academics, think tanks, economists and consultancies - Own economic impact reports and the narratives that go with them for markets around the world - Anticipate emerging policy issues and work with internal experts to develop Anthropic's perspective and supporting materials before external pressure builds - Scale the team's support for international markets: adapt strategy and materials for different governments, and build templates and processes so each new market is faster than the last - Draft briefings, talking points and other materials on short timelines, coordinating with policy communications so messaging stays consistent Minimum qualifications - A track record of driving cross-functional projects to a decision or finished product, including getting people with competing interests to agreement when you don't manage them - Experience as a policy generalist across several issue areas, including designing and carrying out policy research and turning it into policy proposals or positions - Ability to scope a research question, work with economists, academics and other experts to answer it, and judge the quality of their evidence and methods, for example through economic consulting, a policy research organization, or an in-house research team - Excellent writing: you can turn complex technical or economic material into clear, concise memos, briefings and talking points for different audiences - An understanding of how a company's commercial interests and its policy positions fit together - Strong organization and project management, including running several projects and outside partners at once - A record of working independently, taking ownership of problems, and driving next steps and deliverables without being prompted - A collaborative, low-ego approach: you pitch in wherever the work needs you and share credit readily - Interest in AI policy and alignment with Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - 5+ years of professional experience in technology policy, public affairs, consulting or a related field - Experience on an in-house technology policy team, in corporate public affairs, or in management or economic consulting, especially public sector or policy practices - Experience managing outside vendors, research partners or commissioned studies, including economic impact studies - A background in AI or technology policy - Relationships with academics, think tanks or research organizations working on AI or technology policy - Experience with international policy or supporting teams in multiple countries - Training in economics or quantitative methods 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.
Incident Response Manager - Privacy
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is working on frontier AI systems that handle sensitive information at enormous scale. How we protect that data, and how we build privacy into our systems rather than bolting it on afterward, is central to our mission of building AI that is safe and beneficial. We’re looking for an experienced Technical Program Manager to own and evolve incident management within the privacy team. This is a senior-level specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from privacy incidents. These incidents involve personal data subject to GDPR, CCPA, HIPAA and similar laws, and to the contractual commitments Anthropic makes to its customers. You’ll be the driving force behind maturing and scaling our incident response lifecycle, from detection and triage through containment, remediation, and post-incident review. Critically, some of the highest-impact work in this role happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working cross-functionally across engineering, security, infrastructure, and product teams to ensure that broad fixes and systemic improvements are actually implemented. You will partner closely with Privacy Legal on notifiability and communications, and with the Privacy Program team on executive and board reporting; this role owns the engineering-side programme, its metrics and its follow-through. You won’t just manage incidents: you’ll make sure we get meaningfully better after each one. Key responsibilities - Own the end-to-end privacy incident management program: detection workflows, response processes, escalation paths, communication standards, and remediation tracking. - Serve as incident commander for privacy incidents, driving clear coordination across executive, engineering, security, legal, and other appropriate stakeholders. - Establish and run incident commander rotations within privacy, ensuring clear ownership and effective coordination during incidents of varying severity. - Drive post-incident accountability by defining how action items are captured, assigned, tracked, and completed across teams, ensuring follow-through on both tactical fixes and strategic improvements. - Gather, analyze, and report on incident trends and patterns to surface systemic risks, recurring root causes, and areas where the organization is most vulnerable. - Translate trend analysis into actionable cross-functional initiatives: partner with engineering, infrastructure, security, and product teams to prioritize and implement broad fixes and preventive improvements that address root causes rather than symptoms. - Lead incident review forums (post-mortems, retrospectives) and ensure learnings are captured, socialized, and acted upon across the organization. - Partner with Privacy Legal on breach and notifiability assessments against regulatory timelines, coordinate customer and regulator communications when required, and keep privileged and non-privileged records appropriately separated. - Develop and maintain privacy incident response documentation, playbooks, runbooks, and training materials; keep them current as our products, data flows and obligations evolve. - Partner with detection engineering to improve alert fidelity, reduce noise, and shorten time-to-detection for privacy events. - Define, develop, and track incident management KPIs and report regularly to leadership. - Support broad cross-functional training and initiatives to uplevel privacy awareness across the company (e.g. Tabletop exercises, training, talks). Minimum qualifications - Have led or built incident response programs at a technology company, ideally in a high-growth or security-intensive environment. - Have a demonstrated track record of turning incident data into organizational improvements: not just writing post-mortems, but driving the cross-functional work to implement systemic fixes. - Are comfortable participating in on-call responsibilities and leading incident response during high-severity privacy events, including off-hours. - Have experience building and scaling operational processes from the ground up in environments where structure didn’t previously exist. - Excel at driving accountability and follow-through across multiple teams without direct authority—you know how to influence, track, and close the loop. - Have strong analytical skills and experience with incident trend analysis, metrics reporting, and data-driven prioritization. - Are highly organized with a knack for bringing structure to ambiguous, fast-moving situations. - Have excellent communication skills, especially under pressure and when coordinating across technical and non-technical stakeholders, including executive leadership. - Thrive in fast-paced environments where priorities shift and you’re often working with incomplete information. Preferred qualifications - Have 7+ years of experience in technical program management, incident management, or security/privacy operations, with significant time spent in an incident response context. - Are familiar with privacy regulation and breach-notification obligations (GDPR, CCPA, HIPAA or similar) and comfortable working with legal counsel under privilege, or have a legal background. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 - $2 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.
Analytics Engineer
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. ABOUT MODAL DATA: We’re growing our Data team and are looking for our first few key hires to build self-serve data tools and drive business strategy in the right direction. The mission of the Modal Data team is to make it easy to track company goals, make evidence-backed decisions, and prioritize the right work. We do this via: - Self-serve AI analytics tools (Hex, Snowflake) - Embedding with teams as a “data adviser”, providing strategic analysis and consulting WHAT YOU'LL DO: - Contribute to building the most modern analytics stack https://modal.com/blog/analytics-stack in Data today to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting - Influence work on new products like LLM Inference Endpoints https://modal.com/blog/qwen3-8-2-4t-a95b-now-available-on-modal through product analytics tracking - Identify millions of dollars of cost savings and optimization across our tools and financial operations - Write data pipelines that power the operations of our business, such as our cloud compute economics or sales comp - Create foundational datasets that can be used by people and AI tools to answer questions around product use cases, financial reporting, and marketing campaigns WHAT YOU SHOULD HAVE: - SQL fluency, Python proficiency - Professional experience with at least 2 of the following tools: Snowflake, dbt, dlt, Modal, Hex, Posthog - Ability to extend their work beyond just data reporting and into action and impact - High attention to detail - Excellent and precise communicator - Strong personability and relationship building skills NICE-TO-HAVE: - Experience with AI products, especially LLM inference and sandboxes - Experience in fin ops, fraud, sales ops, or risk, especially in the context of AI (e.g. token cost optimization) - Project management skills - Strong presence in the data community online and offline
Staff+ Software Engineer, Access Programs
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 Claude's capabilities grow, so does our responsibility to ensure those capabilities reach the right people. The Access Programs team builds the systems that verify who our customers are, grant access to advanced model capabilities for approved use cases, and ensure that access is not misused. As a software engineer on this team, you will build the identity, vetting, and access management infrastructure that underpins our trusted access programs, along with the monitoring and enforcement tooling that keeps them safe. This work sits at the center of how Anthropic deploys frontier capabilities responsibly, balancing broad access with rigorous safeguards. Responsibilities: - Build identity verification and vetting systems (KYC/KYB) that establish who our individual and business customers are - Design and implement access control systems that grant, scope, and revoke access to advanced capabilities based on approved use cases - Build infrastructure to configure safety systems and detection thresholds on a per-customer basis for trusted access programs - Develop monitoring to detect misuse of expanded access, and tooling that enables enforcement teams to act on it - Partner closely with policy, enforcement, threat intelligence, product, research, and go-to-market teams so that access decisions are well-informed and consistently applied - Build systems that identify account compromise and takeover, apply mitigations in real time, and carry affected accounts through to full remediation - Design and build the dashboards, alerting, and internal admin tooling that give the team and its partners clear visibility into the health and outcomes of our access programs - Integrate with third-party identity verification and data enrichment vendors You may be a good fit if you have: - A Bachelor's degree in Computer Science, Software Engineering, or comparable experience - Experience building and operating backend systems in production - Strong coding skills in at least one general-purpose programming language, and experience building software with AI coding tools - Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders - Care about the societal impacts of AI and want your work to make powerful systems safer Strong candidates may also: - 8+ years of industry software engineering experience - Experience building shared platforms or foundational services that many teams and products depend on, rather than one-off solutions for a single use case - A track record of working across functions (for example engineering, product, policy, operations, and go-to-market) to gather requirements, reconcile competing needs, and drive adoption of what you build - Experience with identity, authentication, or authorization systems at scale - Experience with KYC/KYB workflows or identity verification vendors - Experience in trust and safety, integrity, fraud, or abuse detection - Experience detecting and responding to account takeover or credential compromise - Experience partnering with operational teams to build custom internal tooling 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.
Senior Technical Partner Marketing Manager
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is hiring a Senior Technical Partner Marketing Manager to turn relationships across the ML and AI ecosystem into differentiated joint solutions, clear “better together” stories, and repeatable go-to-market programs. This role will work across model-serving and open-source frameworks, silicon and infrastructure, cloud and inference platforms, model providers, developer tools, and AI application platforms to show how combined technologies create greater value for developers and enterprise customers. About the Role This role sits at the intersection of Partner Engineering, Developer Relations, Product Marketing, Alliances, Product, and go-to-market. You will identify the strongest joint value propositions by ecosystem segment, translate integrations and shared roadmaps into credible technical stories, and bring those stories to market through reference architectures, demos, launches, content, and field programs. The right candidate can go deep enough on an integration to define why it matters, align independent organizations around a shared narrative, and build a coordinated GTM motion that creates adoption and business value for both sides. Responsibilities - Develop segment-specific partner strategies across model-serving and open-source frameworks, silicon and accelerators, cloud and inference providers, model providers, data and developer platforms, AI tooling, and application ecosystems - Define differentiated “better together” value propositions that explain the customer and developer outcomes created by each class of integration - Turn partner integrations into reference architectures, validated demos, solution briefs, tutorials, benchmarks, presentations, and field enablement - Build and execute joint go-to-market plans with clear audiences, use cases, messaging, assets, launch sequences, field motions, and measures of success - Partner closely with Alliances, Engineering, Product, Developer Relations, Product Marketing, Sales, and partner teams to define shared priorities, responsibilities, and deliverables - Lead the content and readiness workstream for partner launches, ensuring technical claims, demonstrations, and proof points are accurate and reviewable - Create reusable segment playbooks that help SambaNova evaluate opportunities and scale successful partner motions across the ML and AI ecosystem - Support technical workshops, partner briefings, field meetings, campaigns, events, webinars, and executive engagements with tailored demos and clear talk tracks - Gather ecosystem feedback and competitive insight to inform product priorities, integration strategy, positioning, and future partner investments - Track developer adoption, co-marketing performance, influenced pipeline, asset usage, partner engagement, and customer outcomes; use results to improve the GTM strategy What We’re Looking For - 7+ years of experience in partner marketing, technical product marketing, developer marketing, solutions architecture, strategic alliances, or a closely related role - Technical fluency in AI infrastructure, model serving, inference, open-source software, cloud platforms, silicon, developer tools, or data center systems - Experience building joint value propositions and executing coordinated go-to-market programs with technology partners - Ability to understand an integration deeply enough to create credible technical content, demonstrations, positioning, and enablement - Strong program management and stakeholder leadership across internal teams and independent partner organizations - Excellent writing, presentation, and verbal communication skills for developer, partner, field, and enterprise audiences - High ownership, sound judgment, and comfort independently balancing technical accuracy, partner priorities, and launch timelines Preferred Qualifications - Experience working across multiple ML and AI ecosystem segments, such as model-serving frameworks, silicon, cloud infrastructure, model platforms, developer tools, or AI applications - Hands-on familiarity with reference architectures, proofs of concept, benchmarking, workload optimization, integration testing, or OpenAI-compatible APIs - Experience supporting joint launches, executive events, developer programs, customer proof, and partner or sales enablement - A track record of turning a technical integration into measurable adoption, engagement, influenced pipeline, or customer value - Experience creating repeatable partner playbooks or scaling a successful joint GTM motion across a broader ecosystem segment Why This Role Matters AI adoption depends on an ecosystem, not a single component. This role will define where SambaNova fits across the ML and AI value chain, make each integration’s combined value easy to understand, and turn strong technical partnerships into coordinated go-to-market motions that benefit developers, customers, and partners. Base Salary Range: Base Pay Range $196,000 - $240,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Sales Director, Enterprise
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is redefining the economics of AI inference. We build AI accelerators and deliver them as rack-scale systems that let enterprises deploy state-of-the-art AI — from the largest open-source models to demanding production workloads — in their own data centers, at speed and efficiency the incumbent platforms can't match. Financial services is where enterprise AI gets real: the largest institutions in the world are moving AI from experimentation into production, and they need to do it with performance, control, and economics that public cloud consumption can't deliver. We are hiring an Account Director, based in New York, to build and drive a large book of business across US financial services — global banks, capital markets firms, asset managers, and insurers. Reporting directly to the VP of Americas, you will own the number and run every pursuit end to end with high touch: from first executive conversation, through technical and risk validation, to negotiated production deployments. This is a senior, relationship-driven seat for a seller who is already trusted at the executive level in this industry and knows how to move a large institution from interest to commitment. What you'll be doing - Own the financial services number. Build and drive the book of business across US financial institutions — named accounts and expansion alike. You carry the quota and the account strategy. - Sell high and wide. Open and cultivate relationships with CIOs, CTOs, heads of AI/ML, and line-of-business executives. Deals in this segment are won in the executive suite and defended in the architecture review — you operate credibly in both. - Run the full pursuit end to end, high touch. Qualify rigorously. map the buying committee — technology, risk, procurement, finance — build the win plan, and personally drive every stage from discovery through commercial close. - Navigate the institution. Understand how large financial institutions actually adopt technology: model risk management, information security review, vendor risk, data residency, and regulatory posture. Anticipate these gates and build them into the deal plan rather than discovering them in month nine. - Sell the business case. Position on-premises AI deployment in terms the institution's economics: cost versus public cloud consumption at production scale, data control, latency, and the ability to run frontier open-source models inside their own walls. - Lead the pursuit team. Partner with Solutions Architects on technical validation and POCs, and orchestrate SambaNova executives into accounts deliberately and at the right altitude. - Build the segment playbook. Define the repeatable financial services motion — use cases, references, deal constructs — and lay the foundation for the enterprise team as it scales, with the opportunity to lead it. - Forecast with discipline. Own pipeline integrity and forecast accuracy for the segment, and bring structured market and competitive intelligence back to sales and product leadership. What we need to see - 10+ years of quota-carrying enterprise technology sales with a substantial track record selling into US financial services — banks, capital markets, asset management, or insurance — including large, complex infrastructure or platform deals. - Established senior relationships in the sector: you can open doors at the CIO/CTO and head-of-AI level at major institutions today, not build toward them. - Command of long-cycle, multi-stakeholder enterprise pursuits — technology, risk, compliance, procurement, and executive sponsors in parallel — with deal values in the seven to eight figures. - Working fluency in AI and data center infrastructure: how enterprises evaluate compute, where inference workloads are heading, and the tradeoffs between public cloud, private deployment, and hybrid. - Familiarity with the governance realities of financial institutions — model risk, information security review, vendor onboarding — and a record of getting deals through them. - Executive presence: you represent the company credibly with C-level customers and partner naturally with our own executives in strategic pursuits. Ways to stand out from the crowd - Existing relationships across multiple top-20 US financial institutions. - Experience selling AI infrastructure, accelerated compute, or on-premises platforms into regulated industries. - Experience displacing or selling against public cloud consumption with an on-premises or hybrid economic case. - A track record of landing a new vendor inside a major bank — first deal through vendor risk, then expansion. - History of building or leading an enterprise segment as it scaled. Base Salary Range: Base Pay Range $175,000 - $215,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Deployment Lead, Life Sciences- NYC
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a Deployment Lead Life Sciences, you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the Life Sciences vertical, partnering with pharmaceutical companies, clinical research organizations, and other data and services providers to deploy next-generation AI capabilities across their drug discovery, development, and operations. You will own delivery end-to-end: embedding with Life Sciences customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: - Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. - Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. - Partner with Product and Research so platform components and research workstreams land in time to support deployment goals. - Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. - Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. - Shape how we engage Life Sciences customers You’ll thrive in this role if you: - Bring 7+ years of customer‑facing technical delivery leadership and have expertise in the Life Sciences space. - Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. - Excel in high ambiguity environments. Know how to simplify complex and dynamic work. - Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. - Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions. - Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. - Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. - You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. - Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). 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.
Deployment Lead, Financial Services- NYC
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role You will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the Financial Services vertical, partnering with banks, asset managers, and private capital investors to deploy next-generation AI capabilities across their operations, investment processes, and portfolio companies. You will own delivery end-to-end: embedding with Financial Services customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in New York City. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: - Own the technical delivery plan for multiple interdependent work streams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. - Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. - Partner with Product and Research so platform components and research work streams land in time to support deployment goals. - Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. - Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. - Shape how we engage Financial Services customers You’ll thrive in this role if you: - Bring 7+ years of customer‑facing technical delivery leadership and have expertise in the Financial Services industry. - Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. - Excel in high ambiguity environments. Know how to simplify complex and dynamic work. - Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. - Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions. - Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. - Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. - You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. - Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). 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.
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