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Go-To-Market Compensation Lead
We’re looking for a Go-To-Market Compensation Lead to build and scale the incentive compensation programs that support our revenue growth. You’ll lead compensation design in partnership with the Head of Revenue Operations and GTM and Finance leadership, translating business priorities into plans that are clear, motivating, and financially sound. You’ll own commission operations end to end, including our incentive compensation management (ICM) system. This is a hands-on leadership role for someone who can move from strategic recommendations to detailed execution, operate independently through ambiguity, and take extreme ownership of both the numbers and the employee experience. What you’ll do - Lead compensation design: Partner with the Head of Revenue Operations and GTM and Finance leadership to develop and evolve incentive plans across GTM roles. Recommend performance measures, payout structures, accelerators, and crediting rules that align incentives with company goals. - Model business impact: Build scenarios to assess compensation cost, earnings opportunities, and incentive alignment. Evaluate plan performance and recommend changes as our products, pricing, and go-to-market motion evolve. - Own commission operations: Run the full commission cycle, from source-data validation and crediting through calculations, reconciliation, approvals, and payroll handoff. Deliver accurate, on-time payouts and resolve questions and disputes with clear, consistent reasoning. - Own the ICM system: Lead system configuration, plan implementation, testing, administration, and ongoing improvements. Partner with systems and data teams to maintain reliable integrations and reduce manual work. - Build scalable processes and controls: Establish documentation, approval workflows, and audit trails for plans, exceptions, and adjustments. Create consistent processes for new hires, role changes, departures, and territory or account changes. - Make compensation understandable: Lead plan communications and enablement so employees and managers understand how incentives work. Be the trusted point of contact for compensation questions and complex edge cases. - Partner with Finance: Provide reliable payout reporting, accrual inputs, forecasts, and variance analysis. Maintain visibility into compensation spend and proactively flag risks or discrepancies. What you bring - Relevant experience: 4+ years of GTM compensation experience in SaaS or another high-growth industry, with meaningful ownership of both plan design and commission operations. - Autonomy and extreme ownership: A track record of setting priorities, identifying gaps, making sound recommendations, and driving work to completion without close supervision. You surface risks early and stay accountable through resolution. - Exceptional attention to detail: A rigorous approach to validating data, testing calculations, documenting decisions, and catching errors before they affect payouts. - Hands-on systems expertise: Experience administering an ICM platform and working with the CRM, finance, and payroll data that feed commission processes. - Strong analytical judgment: Advanced spreadsheet and financial modeling skills, with the ability to evaluate trade-offs and turn complex analysis into practical recommendations. - Clear communication and partnership: The ability to influence senior stakeholders, explain complex compensation mechanics simply, and handle sensitive information with discretion. - Tact and sound judgment: The ability to handle exception and clarification requests from Sales tactfully, balancing responsiveness with consistent application of compensation policies. You know when to resolve requests independently and when to escalate to senior leadership with clear context and a recommendation. - AI perspective and drive: A strong perspective on how AI is changing traditional commissions and compensation plan processing, and a passion for putting that perspective into practice across the business while maintaining accuracy, transparency, and controls. Nice to have - Evolving business models: Experience with consumption-based, usage-based, or hybrid subscription models. - Systems implementation: Experience implementing or migrating an ICM platform and automating compensation workflows. - Technical fluency: SQL or BI skills to investigate data issues and improve reporting.
Sales Development - Japan
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - 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 Sales Development (SDR) based in Japan, at ElevenLabs you will play a crucial role in building an effective outbound sales strategy, whilst working closely with the Account Executives. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will - Conduct research to identify potential leads and prospects within the target market. - Engage in outbound activities such as cold calling, emailing, and social media outreach to initiate contact with potential customers - Implement personalized and effective outreach campaigns to maximize lead conversion. - Collaborate closely with the Account Executive to exchange insights on prospect feedback, objections, and market trends. - Continuously refine and adjust outreach strategies based on the feedback loop. - Monitor and report key performance indicators (KPIs) related to outbound sales activities, including conversion rates, lead quality, and outreach effectiveness. - Collaborate with the sales leadership to analyze data and optimize strategies for better results. Requirements - 2-3 years outbound B2B sales experience with a track record of securing new business meetings. - Demonstrated ability to build Opportunity sized lead lists in new markets and categories - Experience with full suite of prospecting tools - Demonstrated ability to build, scale process - Demonstrated ability to nurture a team - Curiosity - asking insightful questions and developing solutions from a foundation of knowledge and insight. - Self-motivated, thriving as part of a team while possessing the ability to stay driven and proactive independently. - Effective time management skills, with the ability to prioritize tasks and manage a high volume of leads. - Excellent verbal and written communication skills in English and Japanese Location This role is remote-first, however there is a preference for candidates to be based in Tokyo with the option to work out of one of our offices. LI-remote 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.
Events Lead - Brazil and Latam
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role Brazil and LATAM are among our fastest-growing markets globally, and we’re looking for a highly motivated Events Marketer to lead planning and execution of impactful events across Brazil and the broader LATAM region, as part of our Brazil- and LATAM-focused GTM motion. Your work will deepen ElevenLabs’ presence, drive brand awareness, and generate high-quality pipeline in partnership with our Brazil GM and regional GTM teams. You’ll own the full lifecycle of in-person owned events, third-party tech conferences, executive dinners, workshops, webinars, sponsorships, and strategic partnerships. You’ll adapt and localize successful global playbooks while identifying new, high-impact opportunities unique to the Brazilian and wider LATAM markets. In this role, you will: - Develop and execute event plans aligned with business objectives across São Paulo, Rio de Janeiro, and key markets in Brazil and LATAM - Organise third-party conferences, owned branded events, and strategic dinners with key customers and prospects across Brazil and LATAM - Collaborate cross-functionally with sales, marketing, and GTM teams for seamless execution - Create compelling event messaging that resonates with Brazilian and LATAM business audiences - Manage event budgets and timelines end to end - Analyze event performance and provide recommendations for future improvements - Build and maintain relationships with sponsors, partners, and vendors across Brazil and LATAM What you bring: - 5+ years events experience, with at least three in tech event marketing - Native Portuguese speaker, English fluency required (Spanish a plus) - Deep knowledge of the Brazilian and LATAM tech ecosystems and key industry events, including events in São Paulo and beyond - Experience working with Brazilian and LATAM event agencies and production partners Location This role is remote within Brazil. Preferred to be based in São Paulo. LI-Remote 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.
Managing Editor
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role summary: The Managing Editor runs the operational engine of the editorial team. This role turns strategy and drafts into a functioning production pipeline across all content streams (thought leadership, developer content, customer stories, product marketing content, etc.). This person is most responsible for whether things ship on time and at a consistent bar. Core responsibilities: - In conjunction with Editorial Content Director, own and maintain the master editorial calendar across all content streams, sequencing work so there is no competition for the same limited writing capacity - Manage the brief-to-publish workflow: assigning work, setting deadlines, tracking status, unblocking bottlenecks - Own the review/approval routing for each content type: legal and PR for thought leadership, engineering/DevRel sign-off for developer content, customer and legal approval for customer stories, product marketing alignment for product content - Set and enforce production-level style and quality standards (distinct from the Content Strategist's audience/strategy standards) - Manage relationships with freelancers, contractors, and cross-functional SME contributors who feed content into the pipeline - Report to the Head of Editorial Content on throughput, capacity, and delivery risk - Own and manage the 24-hour review in the blog tracker - Run competitive and content-gap analysis to identify where the team's limited capacity should go - Ensures style guide story alignment (with Content Editor contributing) - Present editorial performance metrics to cross-functional stakeholders in conjunction with Editorial Director - Partner with Growth Marketing on content positioning alignment - Work with MarOps on attribution and any potential pipeline content Qualifications - 10+ years of experience in editorial or content operations - Experience running multi-stream or multi-format editorial pipelines (not just a single blog) Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.
Sr. Motion Designer
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SR. MOTION DESIGNER We are looking for a Senior Motion Designer to help shape how SpaceXSI moves and shows up in the world. This role is built for someone who has built motion systems in fast-moving environments, cares deeply about craft, and brings an AI-first mindset to how creative work gets made. You'll join the Brand Studio, the team behind the brand across the entire SpaceXSI ecosystem (from Grok and Grok Bot to X), and help define both the motion language of the brand and how it comes to life in our campaigns and products. This is a hands-on role with significant ownership, from first concept through final delivery. RESPONSIBILITIES: - Motion system: Define and document the brand's motion language (timing, easing, transitions, logo animation, typography in motion, and graphic behaviors) so other teams can apply it correctly - Workflows & toolkits: Turn recurring motion work into repeatable, AI-assisted templates, tools, and generators that let marketing, product, and other teams produce on-brand motion without you in the room - Campaigns: Concept and produce motion end to end, from storyboards through final delivery, across launch films, product videos, social, paid, web, and out-of-home - Product motion: Partner with product designers and engineers to bring brand motion into product surfaces, from interactions and transitions to onboarding and launch moments - Creative direction: Direct agencies, animators, and freelancers with clear briefs and candid feedback so the output meets the bar you'd set yourself - Collaboration at speed: Partner with marketing, product, engineering, and leadership, present your thinking clearly to senior stakeholders, and move between projects quickly while keeping a high bar and improving the process BASIC QUALIFICATIONS: - Minimum of 6 years of motion design experience, in-house or at an agency or studio - Professional experience with After Effects and at least one 3D tool (Cinema 4D or Blender) - A reel of shipped motion design work PREFERRED SKILLS AND EXPERIENCE: - Fluency in AI coding tools, especially Cursor. You can build your own tools, scripts, prototypes, and simple web pages instead of waiting on engineering - Hands-on experience with AI video and image generation tools as part of a real production workflow - A reel and portfolio that show both motion system work and shipped campaigns. Bonus if they include tools or workflows you built - Sharp instincts for timing, rhythm, typography in motion, and storytelling, from concept and storyboard through execution - A systems mindset: you naturally turn one-off tasks into reusable processes and think about how creative work scales - Conviction in your design decisions and the ability to explain why they matter, to designers, marketers, and leadership alike - Fluency in Figma and Adobe Creative Cloud - Self-directed, fast, and energized by variety and ambiguity - Experience building or relaunching a brand's motion identity at a fast-growing tech company - Experience with real-time or code-based motion, such as Rive, Lottie, or WebGL - 3D modeling, lighting, and rendering skills - Sound design sensibility, enough to work closely with audio partners - Experience leading agencies on large, multi-channel campaigns ADDITIONAL REQUIREMENTS: - Onsite role: must be able to work in person at the [San Francisco or New York] office COMPENSATION AND BENEFITS: The annual compensation range for this role is listed below. Annual Salary: $172,000 - $250,000 USD Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
GTM Enablement - Sales Execution & North America L...
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re hiring a Sales Execution & NA Enablement Lead to raise how our enterprise sellers plan, pursue, and win complex, technical deals. This is not a traditional training role. You’ll set the standard for what great enterprise selling looks like, turn it into artifacts and operating rhythms, and make sure sellers and managers actually use it. The role has two mandates: own key global sales execution programs, and act as the primary Enablement partner to North America sales leadership. You’ll work closely with the Global Head of Enablement, Sales Leadership, RevOps, Product Marketing, Product & Technical Enablement, and FDE. What you’ll do - Own enterprise sales execution: Build and operationalize the critical artifacts that drive excellent sales execution. - Enable sellers to win technical enterprise deals: Coach reps to build business cases with champions, read 10-Ks, and connect ElevenLabs capabilities to measurable outcomes for technical and economic buyers. - Partner with NA leadership on enablement: Diagnose field gaps and adapt global programs to NA needs, including competitive positioning, developer-led motions, and vertical playbooks. - Facilitate globally: Lead highly engaging, practical sales execution sessions, not just build the programs behind them. - Manage the coaching and operating rhythm: Embed selling standards and artifacts into how managers inspect deals and coach sellers. - Build the foundation for a vertical selling motion: Lay the groundwork for vertical selling, which is becoming a global priority, not just an NA need. - Execute in an AI-native way: Use AI to scale coaching, practice, and reinforcement, going beyond general AI fluency. Requirements - 10+ years experience in enterprise sales leadership and enablement experience, ideally in an AI-native or developer-focused company - Excellence building and operationalizing value-selling artifacts across sales org with measurable results - Experience with MEDDICC, Command of the Message, Challenger, or similar methodologies, and the judgment to adapt them - Experience enabling frontline sales managers and building strong coaching methodologies - AI fluency, and comfort building in a fast-growing environment where the operating model is still taking shape - Enough technical depth to credibly support sellers selling to developers and technical buyers - Proven cross-functional influence across Sales, RevOps, PMM, Product, and FDE teams - Bonus: Experience working in voice AI Location This is a remote-first role. Candidates must be based in North America. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Data Partnerships Coordinator (1-year contract)
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? At Cohere, we strive to continually improve our large language models. Academic research and real-world experience has demonstrated that high quality, diverse datasets can contribute as much to the performance and capabilities of LLMs as the underlying model architecture and training regimen. We at Cohere believe data will play a central role in accelerating the advancement of our already world-class language models. Data is therefore critical to our success. Our ability to acquire data that is accurate, relevant, and timely is key to our ability to improve the quality of our models. We strive to continuously improve our data acquisition processes and systems to ensure that we have the data we need to stay competitive and meet the needs of our customers. We run frequent experiments to learn more about the role of data for model quality, from data mixtures, to cleaning techniques, to quality control. Please Note : This is a 1-year contract position. As a Data Partnerships Coordinator, you will: - Scout new data partnering opportunities and manage the process end-to-end, including outreach, discovery, requirements definition, contracting, data transfers and regular data updates; triage data feeds issues as they arise - Partner with Modeling to manage the relationships and data requirements with external data scraping vendors - Facilitate hand-off of newly acquired datasets to Modeling and Annotation - Product manage novel data collection methods and applications as needed - Always keep an eye towards scaling the function with bespoke processes and tools You may be a good fit if: - You have more than 3 years of experience managing data vendor programs - You've worked in a partnership-focused role at an AI-focused company, and have built relationships with AI data suppliers - You're proficient in data analysis and data management - You're energized by proactively seeking out new data sources and building long-term, trusting relationships with vendors - You enjoy cross-functional collaboration and have partnered with Technical and Business teams - You're resourceful and approach problem-solving creatively
Member of Technical Staff (TPM, Compute)
Perplexity is looking for a technical program manager to own how we plan, bring online and run the GPU compute behind every product. Perplexity serves Ask, Computer and API traffic on GPU capacity across multiple cloud and neocloud providers, and demand shifts with every new customer, product launch and model release. Working across engineering, research, Finance and providers, you’ll forecast how much compute we need and when, bring new capacity into production, and own how the fleet performs today, driving fixes when reliability, utilization or cost fall short. The ideal candidate knows GPU fleets, handles technical and commercial details, and is energized by building a function with little precedent. Our Mission Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. What You’ll Do - Partner with Finance on the compute demand forecast , 3–12 months out, driven by customer growth, model releases, and post-training and evaluation plans rather than trend lines - Turn the forecast into decisions with Finance and engineering leadership on commitments and budget, checking that new capacity fits the plan before we commit - Bring new capacity online and lead transitions , from contract to production, including provider onboarding, acceptance criteria, migration and decommissioning - Build a single, trusted view of the fleet : capacity, cost, allocation, and uptime, reliability and utilization by provider and workload - Drive daily utilization, reliability and cost-efficiency as core metrics, reclaiming idle capacity and surfacing trade-offs rather than letting them become side effects - Own inference and compute requests end to end : triage and resolve GPU, deployment and quota requests from teams across Perplexity, and build self-serve paths so routine requests no longer need a person in the loop - Manage compute provider relationships , with scorecards and regular reviews of reliability, support and delivery, and use that data to shape how we work with providers over time - Partner with engineering, research, and finance teams on capacity decisions that match the different needs of training, batch inference and real-time production inference - Build the operating system for compute : the processes and tooling to request, plan, allocate and track compute, with clear owners Qualifications - 6+ years of technical program management, capacity planning or infrastructure operations in cloud environments, leading programs across teams and vendors - Direct experience with GPU or accelerator fleets across training and inference workloads - Experience working directly with cloud or neocloud providers on reserved capacity, capacity commitments, onboarding or vendor performance management - Experience with infrastructure cost modeling, unit economics or cost attribution in partnership with Finance - Technical depth in cluster management, scheduling and orchestration, and the data skills to build forecasts and dashboards yourself - The judgment to surface hard trade-offs and communicate them clearly from engineers to executives - Thrives in a small, agile team; has initiative and desire for ownership without much precedent to lean on
Revenue Manager
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the role We're hiring our first Revenue Manager to own revenue accounting end to end: how we recognize it, how we close it, and the systems that produce it. You'll report to our Controller and work closely with rev ops, sales, legal, and FP&A. We sell through self-serve, enterprise contracts, and on marketplaces, with a mix of subscription, consumption, and self-hosted pricing as well as professional services. That mix makes revenue interesting. Prepaid credits, commits, overages, and multi-element deals all need clear policy and systems that get them right every month. This is a hands-on role. You'll write the accounting memos and also own how Salesforce, Metronome, and our ERP fit together so the numbers tie without a spreadsheet in the middle. We want someone who leans into AI. You'll use AI tools and agents to automate reconciliations, draft memos, and review contracts, and you'll help set how the rest of the accounting team works with them. What you'll do Revenue recognition and policy - Own ASC 606 for every way we sell: subscription, consumption, self-hosted licenses, and marketplace - Write and maintain technical accounting memos and our revenue policy - Build and maintain our standalone selling price (SSP) analysis and run allocations on multi-element deals - Set the treatment for prepaid credits, commits, rollover, overages, breakage, and promotional credits - Set revenue positions for new AI and consumption products, and track partner and marketplace economics as those models evolve - Review deals before signature and advise sales and rev ops on how terms affect revenue Close and reporting - Run the monthly revenue close: usage revenue, deferred revenue, contract assets, and unbilled AR, with rollforwards and reconciliations - Reconcile usage data, Metronome, Salesforce, and the GL every month - Own the allowance for credit losses, from methodology through the audit memo, with collections and sales - Produce revenue and deferred revenue flux analysis, RPO, and disaggregation, and present results in quarterly close reviews - Partner with FP&A to tie ARR and usage metrics to GAAP revenue - Own commission capitalization under ASC 340-40 - Support special projects like new pricing launches and products Systems - Own the revenue data flow from Salesforce to Metronome to our ERP and revenue subledger - Design revenue rules and configuration in our AI-native ERP, and review its output rather than rebuild it in spreadsheets - Lead requirements, testing, and parallel runs for new systems, products, and pricing launches - Build automated reconciliations, controls, and AI agents so the close scales with the business Audit and controls - Own revenue for the annual audit: PBCs, memos, and walkthroughs - Design revenue controls that would hold up to a SOX-level review What we're looking for - 6 to 9 years of accounting experience, including 2+ years in public accounting (Big 4 or national firm) with technology clients - 3+ years owning revenue accounting in-house at a high-growth software company, ideally with usage- or consumption-based pricing - CPA preferred - Deep, hands-on ASC 606 knowledge, including complex and non-standard arrangements: you've written the memos, built an SSP analysis, and defended your conclusions to auditors - Business ownership of at least one revenue or billing system implementation, from requirements and data mapping through testing, parallel runs, and go-live - A track record of replacing a manual process with an automated one - Experience closing revenue under audit at a pre-IPO or public company - You lean into AI. You already use AI tools or agents in your own work, can show where they made your close faster or more accurate, and want to build a revenue function that runs AI-first - Clear writing and judgment. You can explain a revenue conclusion to a sales leader in two sentences and to an auditor in two pages Nice to have - Experience with Metronome, Stripe Billing, or a similar usage-billing platform - Experience with AI-native or modern ERPs, or NetSuite ARM, Zuora Revenue, or RightRev - Accounting for self-hosted or on-prem software licenses alongside SaaS - Cloud marketplace sales (AWS, GCP, Azure), including private offers - IPO readiness or first-year SOX experience - Experience at an AI, developer tools, or infrastructure company - Built a revenue function or close process from scratch Salary: $150,000-$180,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Deployed Engineering Manager, Northern Europe & DA...
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About The Role As the Deployed Engineering Manager for Northern Europe, you will lead a team of deployed engineers from our hub in Amsterdam, working with our customers across DACH and Benelux. You'll help build and shape the team, grow the people in it and make sure our customers get the technical partnership they need to build and run great agents in production. This is an opportunity to have outsized impact at a company shaping the future of AI-powered software. DEs work alongside our sales team to help our prospects and customers build reliable, scalable agents for their business using our suite of products: LangChain, LangGraph, Deep Agents and LangSmith. The team focuses on pre-sales efforts, but stays on accounts to not only close new business but also to make our customers wildly successful. Your first job is your people. You will support great deployed engineers, ramp them quickly, coach them through live customer work and build a team where they do the best work of their careers. You'll stay close enough to the technology and to our customers to be credible with both: unblocking your team on hard engagements and stepping in on the region's most important opportunities. You will report to the Director of Deployed Engineering, EMEA and partner closely with LangChain's sales leaders covering DACH and Benelux, with shared ownership of regional outcomes. This role is mostly people leadership, with real customer engagement and revenue accountability alongside it. As part of the EMEA deployed engineering leadership team, you'll also bring what you learn back into the playbooks, processes and standards we use globally. What You'll Do: - Grow the DACH/Benelux DE team : support recruiting, interviewing and closing candidates as the team grows and raise the bar with every hire. - Onboard and ramp new DEs quickly , with a clear definition of what "ramped" looks like and the support to get each person there. - Coach your team through live customer work : join calls, review architectures and proofs of value to provide direct, specific feedback that makes people better. - Own performance management : set clear expectations, recognise great work and address underperformance early and fairly. - Run the team's operating rhythm : account coverage, capacity and load balancing, deal and engagement reviews and the regional cadence with sales. - Partner with sales leadership in DACH and the Benelux on account strategy, coverage and technical win plans, with shared accountability for revenue outcomes and customer success. - Bring regional insight to the global DE team : what's working with customers in the region, product feedback and contributions to shared playbooks. - Develop future leaders , growing the senior DEs who will lead the next teams in the region. How to be successful in the role: - 7+ years of experience in sales engineering, solutions architecture, engineering, or similar customer-facing technical roles at a dev tools, AI, or infrastructure company. - 2+ years managing customer-facing engineers, including hiring, coaching and performance management. - A track record of developing people: engineers you hired and grew who went on to bigger scope or roles. - Technical credibility with your team and your customers: you're not a stranger to Python, and are well-versed in software engineering, platform engineering and solutions architecture. Hands-on experience building with LLMs or agents is a strong plus. - Experience working with or selling to developers and engineering-led buyers and an understanding of how enterprises in the region evaluate and buy (procurement, data protection, hosting and sovereignty requirements). - Exceptional communication and technical storytelling skills, with the ability to simplify complex concepts for customers and coach others to do the same. - A bias for action, comfort with ambiguity and a consistently high bar for excellence. - Fluent English; German strongly preferred. - Must be available to work in Amsterdam, with regular travel across the region. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Incident Commander, Detection & Response - US
About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As an Incident Commander on Detection & Response, you’ll lead the response to complex security incidents affecting OpenAI’s intellectual property, customer data, and infrastructure. You’ll establish response priorities, coordinate technical work streams, drive containment and recovery decisions within agreed authority, and keep stakeholders informed as facts evolve. You’ll work with security and infrastructure teams across endpoints, identity, cloud, and compute environments, maintaining clear ownership and effective handoffs across time zones. Detection engineering knowledge is a supporting requirement: you’ll use telemetry and detection logic to assess evidence, identify visibility gaps, and guide improvements that make incident response more effective. In this role, you will: - Run incident command from initial assessment through containment, recovery, and closure, establishing severity, scope, response objectives, and escalation needs. - Assign work stream owners and coordinate investigation, containment, and recovery in parallel. Maintain a decision log and distinguish confirmed facts from assumptions. - Drive timely containment and recovery decisions with the appropriate owners, weighing security risk, evidence preservation, and operational impact within agreed decision rights. - Communicate incident status, impact, uncertainty, actions underway, and the next update to technical and nontechnical stakeholders. - Manage cross-time-zone handoffs with explicit command ownership, current status, outstanding risks, pending decisions, and next actions. - Improve response readiness through exercises, playbooks, and post-incident reviews; track agreed corrective actions with their owners. - Partner with detection engineers to evaluate telemetry and detection quality, close incident-related visibility gaps, and prioritize practical response automation. You might thrive in this role if you: - Have personally led complex security incidents as incident commander or an equivalent response lead, with clear examples of decisions, delegation, escalation, and outcomes. - Make sound decisions with incomplete information and revise them as evidence changes, balancing containment urgency with operational impact. - Coordinate responders across teams and time zones, resolve conflicting priorities, and maintain clear ownership during handoffs. - Communicate calmly and precisely under pressure, including concise stakeholder updates and explicit statements of uncertainty. - Have the security and infrastructure fundamentals to challenge investigation findings and assess containment and recovery options. - Understand detection engineering, including telemetry coverage, detection logic, false positives and false negatives, and validation. Can query and interpret evidence to support response decisions. - Turn incident lessons into practical improvements to readiness, playbooks, detection coverage, and response tooling. 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.
Partner Director, NTT Data Global
About the Team OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem to accelerate customer success, enable responsible enterprise AI adoption, and drive durable growth in support of OpenAI’s mission. We work cross-functionally across Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, Operations, and Customer Success to translate strategic partnerships into measurable outcomes for customers. Global systems integrators and technology services partners help enterprises move from AI strategy to production deployment. This role will lead OpenAI’s global partnership with NTT DATA, bringing together its consulting, technology services, systems integration, and delivery capabilities with OpenAI’s products and platform. You will build the strategy, executive alignment, and operating model needed to turn the partnership into repeatable customer and commercial impact across regions and industries. About the Role We are hiring a Partner Director, Global NTT Data to serve as the single accountable owner of OpenAI’s strategic relationship with NTT Data globally. You will define the partnership strategy and joint business plan, build trusted executive relationships, and activate NTT Data’s regional, industry, sales, technical, and delivery organizations to accelerate enterprise AI adoption. This is a strategic and hands-on leadership role with responsibility for the health, performance, and long-term expansion of the partnership. You will move between senior executive engagement, joint account and opportunity strategy, solution development, field enablement, governance, and day-to-day execution. You will align global priorities with regional execution and help customers move from initial AI strategy through secure implementation, production adoption, and expansion. The ideal candidate has led a global alliance with NTT Data or a comparable systems integrator, delivered measurable pipeline and customer outcomes, and built operating models that connect executive commitments to field behavior and successful deployments. You will bring commercial discipline, technical fluency, and the ability to align complex organizations while remaining accountable for results. In this role, you will: - Own the global NTT Data partnership, including alliance strategy, executive alignment, joint planning, pipeline growth, customer outcomes, delivery quality, and multi-year expansion. - Develop and execute a joint business plan with clear priorities, investments, decision rights, regional responsibilities, milestones, and measures of success. - Serve as OpenAI’s senior counterpart to NTT Data’s global and regional leadership. Build relationships across industry practices, consulting, sales, technology, alliance, and delivery teams to set priorities and resolve escalations. - Translate global partnership strategy into coordinated regional execution, working with OpenAI partner sales and account teams to establish clear ownership and consistent field engagement. - Lead joint account mapping, opportunity qualification, and strategic customer pursuits, aligning OpenAI and NTT Data teams around differentiated customer value and measurable commercial outcomes. - Shape joint solutions and industry-specific transformation offerings that combine OpenAI capabilities with NTT Data’s consulting, integration, application, data, cloud, and managed services expertise. - Engage with senior customer executives alongside NTT Data leaders to connect AI strategy, business priorities, implementation plans, and long-term value realization. - Create repeatable co-sell and delivery motions covering seller engagement, technical discovery, solution validation, delivery handoffs, production readiness, and customer expansion. - Partner with Product, Engineering, Solutions, Security, Legal, Finance, and Customer Success to remove technical, contractual, compliance, and operational blockers across priority engagements. - Build partner capability through field enablement, technical readiness, reusable solution patterns, and clear expectations for implementation quality and customer success. - Establish executive governance, business reviews, pipeline inspection, forecasting, performance reporting, and escalation mechanisms that create accountability across both organizations. - Define and monitor partnership KPIs, including qualified pipeline, conversion, revenue, production adoption, customer value, partner readiness, delivery quality, and return on OpenAI investment. - Prioritize OpenAI resources across joint opportunities based on strategic alignment, commercial potential, customer impact, delivery readiness, and repeatability. - Work with relevant teams to establish clear standards for security, responsible AI deployment, intellectual property, and quality across joint engagements and co-developed assets. - Represent OpenAI in senior partner, customer, and industry engagements, and help build the team capacity and operating model needed to scale the global alliance over time. You might thrive in this role if you have: - Significant experience leading strategic alliances, global systems integrator partnerships, ecosystem sales, business development, or enterprise GTM programs in AI, cloud, data, SaaS, or enterprise technology. - Deep familiarity with NTT DATA or a comparable global technology services organization, including its organizational structure, commercial incentives, regional decision-making, and enterprise delivery model. - Proven ownership of global, multi-year strategic partnerships with executive accountability and measurable pipeline, revenue, adoption, deployment, or customer outcomes. - Experience designing and scaling joint operating models across large, matrixed organizations, including governance, account planning, resource allocation, enablement, delivery handoffs, and escalation. - Demonstrated success shaping and advancing complex enterprise transformation opportunities, engaging senior executives, and navigating procurement, security, legal, and implementation requirements. - Strong executive presence and the ability to earn trust with global partner leaders and customer executives while remaining close to commercial and operating details. - Commercial judgment and experience qualifying opportunities, managing forecasts, prioritizing investments, and making clear tradeoffs across regions, industries, and customer segments. - Technical fluency across enterprise AI, data, cloud and hybrid environments, integration, security, governance, and modern application architectures. - Experience translating technology capabilities into differentiated industry solutions and repeatable partner-led customer engagements. - Strong cross-functional leadership and the ability to align Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, Operations, and external partner teams without direct authority. - Prior people leadership experience, with the ability to coach others, develop talent, and build team capacity as the partnership scales. - Excellent written and verbal communication, negotiation, and executive presentation skills, with the ability to work effectively across regions and cultures. - A builder mindset, high ownership, low ego, and comfort creating structure and momentum in an evolving environment while maintaining a consistent focus on customer value and responsible AI adoption. What success looks like: - OpenAI and NTT Data have a clear global partnership strategy, differentiated joint value proposition, executive governance model, and measurable business plan. - Global and regional teams operate with clear responsibilities, shared priorities, and consistent co-sell and delivery motions. - The partnership generates qualified pipeline and converts priority opportunities into secure production deployments with demonstrable customer value. - Joint solutions and industry offerings become repeatable across accounts and regions, supported by growing partner sales and delivery readiness. - OpenAI resources are directed toward the highest-impact opportunities, and the alliance delivers sustained customer adoption and commercial growth. 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.
Partner Director, KPMG Global
About the Team OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem to accelerate customer success, enable responsible enterprise AI adoption, and drive durable growth in support of OpenAI’s mission. We work cross-functionally across Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, Operations, and Customer Success to translate strategic partnerships into measurable outcomes for customers. Global advisory and professional services partners help enterprises move from AI strategy to production deployment. This role will lead OpenAI’s global partnership with KPMG, bringing together its advisory, industry, technology transformation, and delivery capabilities with OpenAI’s products and platform. You will build the strategy, executive alignment, and operating model needed to turn the partnership into repeatable customer and commercial impact across regions and industries. About the Role We are hiring a Partner Director, KPMG Global to serve as the single accountable owner of OpenAI’s strategic relationship with KPMG globally. You will define the partnership strategy and joint business plan, build trusted executive relationships, and align KPMG’s global, regional, member-firm, industry, technical, and delivery leaders to accelerate enterprise AI adoption. This is a strategic and hands-on leadership role with responsibility for the health, performance, and long-term expansion of the partnership. You will move between senior executive engagement, joint account and opportunity strategy, solution development, field enablement, governance, and day-to-day execution. You will align global priorities with regional execution and help customers move from initial AI strategy through secure implementation, production adoption, and expansion. The ideal candidate has led a global alliance with KPMG or a comparable professional services organization, delivered measurable pipeline and customer outcomes, and built operating models that connect executive commitments to field behavior and successful deployments. You will bring commercial discipline, technical fluency, and the ability to align complex organizations while remaining accountable for results. In this role, you will: - Own the global KPMG partnership, including alliance strategy, executive alignment, joint planning, pipeline growth, customer outcomes, delivery quality, and multi-year expansion. - Develop and execute a joint business plan with clear priorities, investments, decision rights, regional responsibilities, milestones, and measures of success. - Serve as OpenAI’s senior counterpart to KPMG’s global, regional, and member-firm leadership. Build relationships across advisory, industry practices, technology, alliance, client-account, and delivery teams to set priorities and resolve escalations. - Translate global partnership strategy into coordinated regional execution, working with OpenAI partner sales and account teams to establish clear ownership and consistent field engagement. - Lead joint account mapping, opportunity qualification, and strategic customer pursuits, aligning OpenAI and KPMG teams around differentiated customer value and measurable commercial outcomes. - Shape joint solutions and industry-specific transformation offerings that combine OpenAI capabilities with KPMG’s advisory, business transformation, data, technology, risk, and governance expertise. - Engage with senior customer executives alongside KPMG leaders to connect AI strategy, business priorities, implementation plans, and long-term value realization. - Create repeatable co-sell and delivery motions covering seller engagement, technical discovery, solution validation, delivery handoffs, production readiness, and customer expansion. - Partner with Product, Engineering, Solutions, Security, Legal, Finance, and Customer Success to remove technical, contractual, compliance, and operational blockers across priority engagements. - Build partner capability through field enablement, technical readiness, reusable solution patterns, and clear expectations for implementation quality and customer success. - Establish executive governance, business reviews, pipeline inspection, forecasting, performance reporting, and escalation mechanisms that create accountability across both organizations. - Define and monitor partnership KPIs, including qualified pipeline, conversion, revenue, production adoption, customer value, partner readiness, delivery quality, and return on OpenAI investment. - Prioritize OpenAI resources across joint opportunities based on strategic alignment, commercial potential, customer impact, delivery readiness, and repeatability. - Work with Legal, Security, and relevant partner teams to establish clear standards for responsible AI deployment, intellectual property, delivery quality, and applicable independence and conflict-of-interest requirements across joint engagements and co-developed assets. - Represent OpenAI in senior partner, customer, and industry engagements, and help build the team capacity and operating model needed to scale the global alliance over time. You might thrive in this role if you have: - Significant experience leading strategic alliances, global advisory or professional services partnerships, ecosystem sales, business development, or enterprise GTM programs in AI, cloud, data, SaaS, or enterprise technology. - Deep familiarity with KPMG or a comparable global professional services organization, including partner economics, member-firm and regional decision-making, executive influence networks, and enterprise delivery models. - Proven ownership of global, multi-year strategic partnerships with executive accountability and measurable pipeline, revenue, adoption, deployment, or customer outcomes. - Experience designing and scaling joint operating models across large, matrixed organizations, including governance, account planning, resource allocation, enablement, delivery handoffs, and escalation. - Demonstrated success shaping and advancing complex enterprise transformation opportunities, engaging senior executives, and navigating procurement, security, legal, and implementation requirements. - Strong executive presence and the ability to earn trust with global partner leaders and customer executives while remaining close to commercial and operating details. - Commercial judgment and experience qualifying opportunities, managing forecasts, prioritizing investments, and making clear tradeoffs across regions, industries, and customer segments. - Technical fluency across enterprise AI, data, cloud and hybrid environments, integration, security, governance, and modern application architectures. - Experience translating technology capabilities into differentiated industry solutions and repeatable partner-led customer engagements. - Strong cross-functional leadership and the ability to align Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, Operations, and external partner teams without direct authority. - Prior people leadership experience, with the ability to coach others, develop talent, and build team capacity as the partnership scales. - Excellent written and verbal communication, negotiation, and executive presentation skills, with the ability to work effectively across regions and cultures. - A builder mindset, high ownership, low ego, and comfort creating structure and momentum in an evolving environment while maintaining a consistent focus on customer value and responsible AI adoption. What success looks like: - OpenAI and KPMG have a clear global partnership strategy, differentiated joint value proposition, executive governance model, and measurable business plan. - Global and regional teams operate with clear responsibilities, shared priorities, and consistent co-sell and delivery motions. - The partnership generates qualified pipeline and converts priority opportunities into secure production deployments with demonstrable customer value. - Joint solutions and industry offerings become repeatable across accounts and regions, supported by growing partner sales and delivery readiness. - OpenAI resources are directed toward the highest-impact opportunities, and the alliance delivers sustained customer adoption and commercial growth. 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.
Learning & Instruction Lead, Academy
About the Team OpenAI Academy helps people develop the skills and judgment to use AI effectively in their work and communities. We deliver practical learning through workshops, online resources, and partners who train others. Our audiences include small businesses, nonprofits, educators, workforce organizations, and people learning to use AI for the first time. The Academy team works closely with Customer Education and Technical Success to bring accurate product knowledge and strong instructional practices into community learning. This role will connect Academy’s audience needs with the training content, product expertise, and enablement practices across those teams. About the Role We’re looking for a Learning & Instruction Lead to own the design, delivery, and ongoing improvement of Academy’s learning programs. You will lead priority workshops, build live and self-paced curriculum, and develop the training, assessments, and credentials that prepare community trainers and advisors to support others. This role combines exceptional live instruction with hands-on learning design and program ownership. You will connect Academy’s audience needs with shared content, competency frameworks, and credentialing standards across Customer Education, Technical Success, and other education teams. You will create polished materials yourself and lead work with external learning partners, taking programs from an initial learning objective through launch and ongoing updates. In this role, you will: - Define competencies and learning paths for priority Academy audiences and community trainer and advisor roles. Map existing content to those needs, identify gaps, and establish clear evidence of product proficiency and readiness to teach or advise others. - Lead in-person and virtual workshops, hands-on labs, and priority Jams; adapt your instruction to different levels of experience and troubleshoot live questions and demos. - Create polished, ready-to-deliver curriculum, presentations, interactive learning experiences, and facilitator and participant resources. - Use AI directly in the design and production workflow to prototype, build, test, and refine training materials. Evaluate new capabilities quickly and turn useful advances into better learning experiences, with careful review for accuracy, accessibility, and reliability. - Partner with Customer Education and Technical Success to adapt shared resources for Academy audiences and keep programs current as products and learner needs change. - Test demos and activities in the accounts and environments learners will use, including access, feature availability, timing, privacy, and appropriate verification of AI outputs. - Own training and credential requirements for community trainers and advisors, aligned with shared OpenAI frameworks and Academy audience needs. Lead the development of assessments and credentials with internal experts and external learning partners, setting clear standards for quality and evidence of learning. - Prepare and coach instructors and mentors through train-the-trainer sessions, practice, and reusable guidance. - Partner with Academy program and partnerships colleagues to scope learning experiences that fit the audience, available staffing, and delivery capacity. - Manage external learning partners and coordinate internal contributors to develop, launch, and improve Academy programs. Own priorities, quality, and the overall learner experience. - Use learner work, feedback, and recurring product friction to improve programs and inform relevant internal teams. You might thrive in this role if you: - Have a track record of designing and delivering practical adult learning, customer education, technical enablement, or workforce training. - Have taken a learning program from design through launch and ongoing operation, coordinating content, assessments, learner access, and external contributors. - Are an exceptional live instructor with a track record of leading engaging, hands-on sessions, explaining complex ideas clearly, reading the room, and adapting in real time for beginners and experienced participants. - Use ChatGPT and Codex confidently to build, test, and refine practical demonstrations and learning resources, with sound judgment about accuracy and limitations. - Are an excellent learning designer who can translate an audience need into clear objectives, well-sequenced instruction, meaningful practice, and useful evidence of learning. - Have a portfolio of fully polished training resources that you personally created and brought to delivery quality, combining strong writing, visual judgment, instructional design, and attention to detail. - Have coached instructors or partners and can define observable standards for teaching readiness and quality. - Bring the judgment to distinguish a beginner workshop from a session requiring deeper engineering expertise and involve the right specialists. - Work well across content owners, product experts, program managers, and external partners, with clear ownership and follow-through. - Care about expanding access to useful AI skills and have experience adapting learning for varied professional and community contexts. Helpful experience - Train-the-trainer programs, facilitator networks, or partner-led education. - Learning assessment, accessibility, localization, or delivery to nonprofit, small-business, education, and workforce audiences. - Familiarity with APIs, agents, and evaluations to support collaboration with technical instructors and appropriate builder content. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Vice President, Clinical Pharmacology & Pharmacome...
Your work will change lives. Including your own. The Impact You'll Make: As Vice President, Clinical Pharmacology & Pharmacometrics, you will set the enterprise strategy for clinical pharmacology, pharmacometrics, and model-informed drug development across Recursion’s advancing clinical portfolio. You will be accountable for translating nonclinical, translational, biomarker, clinical, and quantitative data into development decisions that help us select the right dose, regimen, population, and study design for each program. Your team will bring together expertise across Clinical Pharmacology, Pharmacometrics, Translational Modeling, and preclinical PK/PK-PD, with close partnership across Toxicology, DMPK, Nonclinical Safety, Clinical Biomarkers, Clinical Development, Regulatory, Biostatistics, CMC, Data Science, and Portfolio Strategy. This is a highly strategic leadership role for a clinical pharmacology leader who can operate from first-in-human planning through registrational development, regulatory submission, and label strategy. You will build and scale the clinical pharmacology function, represent Recursion in health authority interactions, and help define how clinical pharmacology and pharmacometrics should work in an AI-native TechBio company. In this role, you will: - Set the enterprise strategy for Clinical Pharmacology, Pharmacometrics, Translational Modeling, and preclinical-to-clinical quantitative integration across Recursion’s clinical and post-candidate nomination portfolio - Own dose strategy from first-in-human planning through registrational development, including dose escalation, dose optimization, exposure-response, safety, efficacy, and label-supporting dose justification - Lead quantitative development approaches, including population PK, PK/PD, exposure-response, PBPK, QSP, disease progression modeling, and clinical trial simulations - Design and oversee clinical pharmacology studies, including food effect, DDI, organ impairment, QT/cardiac safety, bioavailability/bioequivalence, mass balance/ADME, and special population studies - Partner cross-functionally with Clinical Development, Development Sciences, DMPK, Toxicology, Translational Modeling, Biomarkers, Regulatory, Biostatistics, CMC, and Data Science to inform development strategy and decision-making - Represent Recursion as the clinical pharmacology expert in regulatory interactions and ensure high-quality clinical pharmacology contributions to INDs/CTAs, briefing books, NDAs/BLAs/MAAs, regulatory responses, and labeling - Represent Clinical Pharmacology and Translational Modeling in cross-functional program teams, governance forums, regulatory interactions, and alliance settings with Recursion’s external pharma partners - Build, mentor, and scale a high-performing Clinical Pharmacology and Pharmacometrics function, including internal talent, consultants, CROs, and external modeling partners - Advance the responsible use of AI, automation, and advanced analytics to improve evidence integration, modeling workflows, and clinical development decisions The Team You'll Join: You will join Recursion’s Clinical Development organization, reporting to the Chief Medical Officer. The Clinical Development team is an empowered, execution-minded group responsible for translating Recursion’s innovative science into medicines for patients. You will work closely with leaders across Development, Regulatory, Development Sciences, Clinical Operations, Data Science, Biology, Chemistry, Portfolio Strategy, Communications, Legal/Compliance, and future commercialization functions. Together, you will help ensure Recursion’s clinical programs are informed by robust evidence, external medical insight, patient need, and the full potential of the RecursionOS. The Experience You'll Need: - Advanced degree in clinical pharmacology, pharmacometrics, pharmaceutical sciences, quantitative pharmacology, biomedical engineering, medicine, pharmacy, or a related field; PhD, PharmD, or MD preferred - 15+ years of biotech or pharmaceutical industry experience, including significant leadership experience in Clinical Pharmacology, Pharmacometrics, Quantitative Pharmacology, or model-informed drug development - Proven success leading clinical pharmacology strategy across multiple programs, ideally from first-in-human studies through registrational development, submission, and labeling - Deep expertise in PK, PK/PD, exposure-response, exposure-safety, population PK, PBPK, QSP, dose optimization, dose justification, and model-based clinical trial design - Experience designing, interpreting, and defending clinical pharmacology studies and analyses in support of global development and regulatory submissions - Strong understanding of FDA, EMA, MHRA, PMDA, and ICH expectations for clinical pharmacology, pharmacometrics, dose selection, MIDD, and regulatory documentation - Demonstrated ability to build and lead high-performing teams, influence senior stakeholders, manage external partners, and communicate complex quantitative concepts clearly to executives, program teams, partners, and regulators - Experience in oncology, rare disease, and/or small molecule development strongly preferred; experience applying AI, advanced analytics, or automation in clinical pharmacology is a plus Working Location & Compensation: Making NYC your home base is ideal, however, we will consider remote work for this position. Remote employees must commit to regular on-site visits for routine work and departmental events. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: - New York City, San Francisco Bay Area, & Boston area(s): $353,980 to $443,080 - All other US locations: $321,800 to $402,800 In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-DB1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Project Manager, Compute Transformation
About the Team The Transformation team at OpenAI partners with Finance, Infrastructure, Data, and Engineering to design and scale the business processes and systems that support our growth. Our work combines process design, systems thinking, and operational change to turn fragmented workflows into reliable, repeatable, and well-controlled operations. We work as embedded partners to Finance, Accounting, and Operations, shaping priorities and delivering improvements across core business processes. For compute, our focus is an accurate, connected view of contractual obligations, delivered capacity, usage, and cost that supports sound decisions and repeatable financial operations. About the Role As Program Manager, Compute Transformation, you will lead cross-functional initiatives that connect purchasing, operations, billing, accounting, and financial planning across our compute commitments and our data center initiatives. This is a hands-on individual contributor role with ownership of problem definition, process design, integrated planning, and end-to-end delivery. You will work across Compute Finance, Infrastructure Accounting, Capacity Planning, Fleet, Design & Construction, Operations, Procurement, Legal, Data, and Engineering. You will turn ambiguous business problems into clear requirements, drive decisions and dependencies, and deliver reliable processes and systems that make compute and infra spend easier to understand, forecast, reconcile, and control. This role is based in San Francisco, CA, with a hybrid work model of 3 days per week in the office. In this role, you will: - Own an integrated compute and infra transformation plan: workstreams, milestones, critical dependencies, resources, decision logs, and acceptance criteria. Drive execution from problem definition through production adoption. - Map current workflows and design scalable processes from demand planning, contracting, delivery & acceptance, receiving & operations, invoicing, payment, and month-end close. Clarify ownership, handoffs, evidence, and exception paths. - Enable source of truth systems that cover both operational needs and accounting / finance needs for data center construction, operations, and maintenance. - Drive consistent tracking of contracts, tranches, delivery events, and capacity acceptance. Connect committed spend to provisioned, accepted, allocated, and used capacity to support forecasting and financial review. - Coordinate reliable ingestion and normalization of cloud service provider usage, billing, invoice, and delivery data. Establish data owners, completeness checks, and traceability to financial outputs. - Improve compute billing, accrual, and allocation processes through consistent pricing rules, SKU mappings, telemetry and organizational tags, reconciliations, and controlled handling of manual adjustments. - Partner with application, AI, and data engineers to translate requirements into integrations and automation across contract, procurement, compute data, and finance platforms, with monitoring and governed change controls. - Align Infrastructure, Finance, Accounting, Procurement, Legal, and Engineering on decisions and dependencies. Manage scope, risks, vendor dependencies, and change requests; escalate with clear options and business impact. - Lead end-to-end testing, UAT, rollout, training, and handoff to operational owners. Define success measures for traceability, data quality, manual effort, exception resolution, close readiness, and adoption. You might thrive in this role if you have: - 8+ years of experience in project or program management, finance transformation, infrastructure operations, or enterprise systems delivery in complex, scaled environments. - Understanding of compute or infrastructure economics and related finance processes, including commitments, usage-based billing, procurement, accruals, cost allocation, and forecasting. - Experience partnering with software and data engineers to define requirements, resolve tradeoffs, test solutions, and deliver changes into production without direct authority. - A strong process mindset and the ability to connect contractual terms, operational events, financial data, and control requirements into a practical future-state design. - Fluency in data dependencies, system integrations, reconciliation, and data quality. Comfort working with analytical teams and tools such as SQL, Databricks, and BI platforms. - Experience improving workflows through automation or AI, with appropriate human review, controls, exception handling, and operational ownership. - Clear, concise written and verbal communication, including executive updates that explain decisions, risks, business impact, and specific actions needed. - Experience driving complex initiatives through ambiguity and organizational change, with clear evidence of hands-on delivery and adoption. Cloud FinOps, infrastructure finance, or capacity-planning experience is a strong 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.
Partner Director, Oracle North America
About the Team OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem to accelerate customer success, enable responsible enterprise AI adoption, and drive durable growth in support of OpenAI’s mission. We work cross-functionally across Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, Operations, and Customer Success to translate strategic partnerships into measurable outcomes for customers. Strategic cloud and technology partners help enterprises adopt and scale AI within their existing technology environments. This role will lead OpenAI’s partnership with Oracle across North America, connecting Oracle Cloud Infrastructure (OCI), its field organization, and relevant technical and delivery teams with OpenAI’s products and capabilities. You will turn the global alliance strategy into a focused North America business plan and repeatable field execution that delivers customer and commercial impact. About the Role We are hiring a Partner Director, Oracle North America to lead OpenAI’s partner business with Oracle across the region. You will own North America joint business plan, build executive alignment, and activate Oracle and OpenAI field teams to generate qualified pipeline, win strategic opportunities, and drive successful production adoption. You will align regional priorities and execution with the global Oracle alliance strategy. This is a strategic and hands-on leadership role. You will connect senior executive engagement with joint account planning, co-selling, solution and delivery alignment, field enablement, governance, and day-to-day execution. Success requires a strong understanding of how a large, matrixed cloud and enterprise technology organization operates, commercial discipline, technical fluency, and the ability to align teams without formal authority. The ideal candidate has led a high-impact partnership with Oracle, built measurable pipeline and customer outcomes across North America, and knows how to turn alliance strategy into account-level execution and successful deployments. In this role, you will: - Own North America partnership with Oracle, including regional strategy, executive alignment, joint planning, pipeline growth, customer outcomes, delivery quality, and long-term expansion, in alignment with the global alliance. - Develop and execute a North America joint business plan with clear account and industry priorities, investments, decision rights, milestones, and measures of success. - Build trusted relationships with Oracle’s North America cloud leadership, alliance teams, industry leaders, account executives, cloud architects, and customer success and delivery teams, while staying aligned with global stakeholders. - Translate executive priorities into repeatable field execution spanning account mapping, opportunity qualification, co-selling, solution development, technical engagement, delivery handoffs, and escalation. - Shape joint solutions and industry plays that connect OpenAI capabilities with OCI and relevant Oracle data, application, security, and industry capabilities, in coordination with technical and product teams. - Lead joint account planning and strategic customer pursuits with Oracle and OpenAI field teams across North America, with particular focus on complex and regulated enterprises. - Create a clear engagement model for OpenAI sellers and technical teams, including when to involve Oracle, how opportunities are qualified, who owns each step, and how channel conflict is resolved. Coordinate cloud procurement and marketplace pathways where applicable to the customer and partnership. - Partner with Product, Engineering, Solutions, Security, Legal, Finance, and Commercial teams to support complex customer engagements and remove technical, contractual, compliance, and operational blockers. - Build Oracle’s North America field and technical readiness through executive sponsorship, sales enablement, technical training, reusable solution patterns, and disciplined customer deployment handoffs. - Establish regional governance across executive business reviews, pipeline inspection, forecasting, milestone tracking, performance reporting, and escalation, connected to the global alliance operating model. - Set and monitor North America partnership KPIs, including qualified pipeline, conversion, production adoption, customer value, partner readiness, delivery quality, and return on OpenAI investment. - Prioritize OpenAI resources for North America opportunities with the greatest strategic value, commercial potential, customer impact, delivery readiness, and repeatability. - Represent OpenAI in senior partner, customer, and industry engagements with clarity, sound judgment, and strong executive presence. - Build the regional operating model and identify the team capacity needed to scale the Oracle partnership across North America. You might thrive in this role if you have: - Significant experience leading cloud alliances, strategic technology partnerships, ecosystem sales, business development, or enterprise go-to-market programs in AI, cloud, data, SaaS, or enterprise technology. - Direct experience working with Oracle and deep familiarity with its North America cloud organization, OCI field and partner teams, seller incentives, decision-making networks, commercial model, and enterprise customer engagement motions. - A proven record of leading a multi-year partnership or regional alliance business with measurable pipeline, revenue, adoption, deployment, or customer outcomes. - Experience designing and scaling joint operating models across large, matrixed organizations, including governance, account planning, incentives, staffing, delivery handoffs, and escalation. - Demonstrated success shaping and advancing complex C-suite enterprise transformation opportunities from strategy through production deployment. - Strong executive presence and the ability to build credibility with senior Oracle and customer leaders while remaining close to operating details. - Commercial judgment and experience prioritizing investments, qualifying opportunities, managing forecasts, and making clear tradeoffs. - Technical fluency across enterprise AI, OCI and cloud architectures, data platforms, integration, security, governance, and production deployment, with the ability to translate customer needs into clear technical and commercial priorities. - Strong cross-functional leadership and the ability to align Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, and Operations without direct authority. - Experience building partner enablement, joint solutions, industry plays, and scalable field engagement models across North America. - Comfort operating in ambiguity and creating structure, accountability, and momentum in a rapidly evolving market. - Excellent written and verbal communication, negotiation, and executive presentation skills. - A builder mindset, high ownership, low ego, and a consistent focus on customer value and responsible AI adoption. What success looks like: - OpenAI and Oracle have a clear North America growth strategy, differentiated joint value proposition, executive governance model, and measurable business plan aligned with the global alliance. - Oracle and OpenAI field teams across North America know when and how to engage one another, and qualified opportunities progress through a consistent co-sell and delivery motion. - The North America partnership generates qualified pipeline and converts priority opportunities into secure, successful production deployments with demonstrable customer value. - Joint solution patterns and industry plays become repeatable rather than remaining bespoke. - OpenAI resources are allocated transparently toward the highest-impact opportunities. - Oracle’s North America teams demonstrate growing readiness and accountability across selling, architecture, implementation, and customer success. - The North America partnership earns sustained executive sponsorship and delivers measurable year-over-year growth. 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.
Account Director, Large Enterprise | France
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in Paris. We use a hybrid work model of 3 days in the office per week. In this role, you'll: - Manage a number of key accounts, developing and executing strategies for a comprehensive account plan. - Lead our enterprise prospects’ journeys from consideration to successful deployment. - Partner with solutions and research engineering to build and execute complex customer programs and projects. - Own a consumption revenue target. - Manage consumption revenue forecasts. - Analyse key account metrics to create reports and provide insights to internal and external stakeholders. - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies. - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering. - Support the recruitment and onboarding of other teammates. - Support the development of company culture. We're seeking someone with experience including: - 10+ years selling platform-as-a-service and/or software-as-a-service. - Have full professional fluency in both French and English. - Achieving revenue targets >$2M per year for more than 3 years. - Designing and executing complex deal strategies. - Supporting the growth of fast-growing, high-performance companies. - Working directly with c-level executives. - Communicating technical concepts to customers and internal stakeholders. - Leading high-visibility customer events (CAB, conferences, product launches, etc.). - Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence. You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. - Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. - Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organisation. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Subject Matter Expert, Legal
About the Team We are building AI systems that help people tackle complex, consequential work in the legal industry. Law demands careful reasoning, precise language, and sound judgment: understanding the facts, identifying the right questions, weighing competing interpretations, and helping clients decide what to do next. We see an opportunity for AI to help legal professionals work with greater rigor and focus more of their time on the problems that matter most. Our team works across Research, Product, Engineering, and Go-to-Market to build AI capabilities and products for legal work. Our customers include the top law firms in the world as well as in-house legal departments of some of the largest businesses in the world. We translate the realities of practice into evaluations, training signals, and useful tools, with the ambition of making AI a trusted part of how lawyers research, analyze, draft, and advise. About the Role We are looking for a Subject Matter Expert in Law who brings the judgment and practical experience developed in a law firm to shaping the next generation of AI. You will help define what excellent legal work looks like, test where our models meet that standard, and turn your findings into better model behavior and product experiences. This is a hands-on individual contributor role at the intersection of legal practice and AI development. You will work directly with legal materials, model outputs, evaluation rubrics, and product prototypes. Your expertise will help us tackle some of the hardest questions in legal AI, including how to assess reasoning when there is no single correct answer. 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 the quality bar for what top-notch legal work looks like, drawing on real matters and the standards lawyers apply to research, analysis, drafting, document review, and client advice. - Design challenging, realistic AI model evaluations with representative facts, source materials, constraints, and deliverables, including cases that test ambiguity, competing arguments, and professional judgment. - Create and review reference work such as research memoranda, contract analyses, redlines, diligence findings, and draft legal documents that demonstrate strong reasoning and practical usefulness. - Develop rubrics that assess legal accuracy, issue spotting, factual grounding, citation validity, jurisdictional context, and the appropriate treatment of uncertainty. - Evaluate model outputs and complete legal workflows, identify recurring failures, and give researchers and engineers specific, actionable feedback supported by examples and corrected work. - Partner with Research on datasets, grading methods, and training tasks or environments that strengthen legal reasoning. Test whether model changes address the underlying problems and improve performance on new cases. - Work with Product and Engineering to identify valuable use cases, prototype workflows, and translate lessons from evaluations into experiences that fit how lawyers actually work. - Collaborate with legal professionals and design partners to refine our standards and test usefulness in practice, applying sound judgment around confidentiality, privilege, data permissions, and professional responsibility. You Might Thrive in This Role If You: - Have practiced law at a law firm, with substantial experience producing and reviewing work for real client matters. We care more about demonstrated judgment and quality of work matter over title or firm pedigree. - Bring deep expertise in one or more practice areas, such as commercial transactions, corporate law, litigation, or regulatory work, and curiosity about workflows beyond your specialty. - Are an excellent legal researcher and writer who can assess authorities, distinguish strong arguments from plausible ones, and explain how facts and context affect a conclusion. - Can make expert judgment explicit: explain why an answer is incomplete, a clause creates risk, or an analysis misses the central issue, and describe what better work would look like. - Enjoy working directly with AI tools, exploring their limits, and testing ideas systematically. You can collaborate closely with technical teams and communicate clearly across disciplines. - Take ownership in ambiguous settings and are willing to build the first version of an evaluation, reference document, rubric, or workflow, then improve it through feedback. - Care deeply about the quality and consequences of legal work, and are motivated by the opportunity to help shape how AI supports the profession. Especially Strong Candidates May Also Have: - Experience designing evaluations, benchmarks, datasets, or review frameworks for legal work or frontier AI systems. - A track record of improving legal workflows through technology, knowledge management, automation, or new ways of working. - Experience training or supervising lawyers, developing practice guidance, or translating complex legal concepts for different audiences. 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.
GTM Enablement - Product
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re hiring our first Product Enablement specialist. You will join the Product & Technical Enablement team and help our go-to-market teams get ready for every product launch, across Agents, APIs, and Creative. You will support our global go-to-market teams. Your mission: help sellers understand, demo, and sell each new launch with confidence, with preparation that starts well before launch day. What sets this role apart: we’re looking for someone who knows our products well enough to demo them and sell them. You have used agents, APIs, or creative tools hands-on, and you can explain how they work and why they matter to customers. You blend that with sales, solutions engineering, or product marketing experience, so you can teach sellers how to use a product, how to demo it, and how to pitch it. This role sits within GTM Enablement and reports to the Product & Technical Enablement Lead. You will work in close partnership with: - Product marketing and engineering teams (keeping content accurate as the platform ships) - GTM enablement (aligning on shared onboarding infrastructure) You will support product enablement for our go-to-market teams across Agents, APIs, and Creative, with the most day-to-day focus on API and Creative launches. This is a full-stack role on a lean team: you’ll build content, deliver training, design practice environments, and flex across products as needed. What you’ll do - Support new product launches: get an early heads-up from product marketing, research, and engineering, follow releases from alpha through GA, and have training ready before launch day, not the week of - Build launch workshops: go beyond what shipped and why it matters, with hands-on workshops on how to use the product, how to demo it, and how to pitch the value - Support competitive enablement: turn product marketing battlecards into trainings, simulations, and demo workshops, so sellers can answer parity, differentiation, and value questions with confidence - Support product certification: help define what “product certified” means for GTM teams, and build the playbooks and training content that raise product confidence across the whole field, not only new hires - Support everboarding and onboarding: keep training tied to new releases and capabilities, and keep content current as products ship - Craft realistic practice environments: demo certifications, role-play scenarios, and customer simulations with scored feedback, built on our own agent technology - Operate AI-natively: use ElevenLabs’ own voice and agent technology to build training and practice environments; default to AI tools to build faster, and teach others to do the same - Measure what matters: define and track the percent of sellers certified within 2 weeks of GA, demo and pitch quality scores, and win rate and stage progression against named competitors, and use the data to improve each launch Requirements We’re looking for someone who knows our products well and can teach sellers to demo and sell them. You’ll thrive here if you: - Have 4-7+ years as an enterprise seller or solutions engineer, or as a seller who moved into product marketing or enablement, at a SaaS, platform, or API-first company - Are hands-on with agents, APIs, or creative tools, and understand at a conceptual level how they work - Have demoed and pitched technical products to customers, and can explain the value, not only the features - Have a track record of teaching, mentoring, or building training, in addition to your customer-facing work - Are comfortable building a program from scratch, with no playbook to inherit - Have credibility with sellers, built from time in the seat or supporting sellers directly, and work well with product marketing, research, and engineering teams - Communicate clearly and can adapt product material for different audiences without diluting it Bonus - Experience at a high-growth AI/ML, developer tools, or API-first company - Background in voice AI, conversational AI, or contact center technology - Vertical depth in financial services, healthcare, telecom or CCaaS, or at other AI companies - Hands-on experience with competing voice and agent platforms - Experience running workshops or labs for sellers or customers - Experience building role-play, simulation, or demo practice environments Location Remote-first, globally distributed role. Expect occasional travel to team hubs and onboarding sessions. Candidates should be able to work effectively across US and European time zones. 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.
GTM Enablement - Partner Program
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - 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 Partner Enablement Program Manager, you'll build and run the ElevenLabs partner academy for systems integrators, hyperscalers and technology partners. You'll create curricula across sales, pre-sales and technical implementation, starting with ElevenAgents and expanding across ElevenCreative and ElevenAPI. You'll work closely with our regional Forward Deployed Engineers, who bring the technical expertise and set the technical quality bar. Your mission is to grow the program to 10,000+ certified partner professionals by the end of 2027, and to make the ElevenLabs certification a credential the tech ecosystem respects. As a Partner Enablement Program Manager, you can expect to: - Build curricula for partner sellers, pre-sales and implementation engineers: courses, hands-on labs and assessments. - Turn expert knowledge from our FDEs, sales and product teams into a world-class online academy. - Run the certification program end to end, from submissions and review workflows to certificates, with FDEs making the technical call. - Scale the program through automation, from automated agent review to bots and emails that support learners. - Deliver training online and in person, including sales and technical sessions at our partner hackathons. - Run program administration: the learning platform, partner onboarding tracks, reporting and learner feedback. Requirements We're looking for an enablement builder who is comfortable with both commercial and technical topics. You don't need to be the deepest expert in the room, but you need enough depth to work with senior engineers and sellers as subject matter experts and turn their knowledge into great learning. You'll thrive with us if you: - Are passionate about AI, technology and ElevenLabs products. - Have built enablement or training programs at scale for partners, sellers or technical teams. - Learn technical products quickly and can explain them to both technical and commercial audiences. - Can run a program end to end: learning platforms, timelines, stakeholders and reporting. - Can lead a session or workshop in front of sellers and engineers. - Have strong instructional design skills: you can turn expert content into clear courses, labs and assessments. - Enjoy turning repeat work into automations, tools and agents. - Have excellent communication skills and can adapt your message to different audiences. Bonus: - Experience as a forward deployed engineer, solutions engineer or in professional services for a frontier AI product. - Hands-on experience building LLM applications or voice and chat agents, and reviewing whether they are ready for production. - Familiarity with Python or TypeScript, APIs, webhooks and common integration patterns. - Telephony experience, such as SIP, Twilio or contact center platforms. - Experience at a systems integrator, hyperscaler or technology partner. - Experience with learning platforms such as WorkRamp. - Proficient in Spanish or Portuguese. Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Leading a partner enablement team as the academy grows. - Moving into partner program leadership or Solutions Engineering. Location This role is remote-first, so it can be executed from anywhere in North America, with the ability to operate in Americas timezones required. If you prefer, you can work from our offices in New York or San Francisco. 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.
Sr. Software Engineer, Pretraining Data
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SR. SOFTWARE ENGINEER, PRETRAINING DATA We're looking for Senior Software Engineers to build and own the data systems behind our frontier models' initial training. You'll work on large-scale crawling, data platform, and pipeline infrastructure, turning raw dumps into the datasets our models train on, and making iteration with researchers fast and reliable. As a senior engineer, you'll set technical direction for these systems, lead projects across teams, and mentor other engineers as our pretraining data scales. RESPONSIBILITIES: - Data Platform: Design, build, and scale the distributed infrastructure that transforms raw web, code, multimodal, and acquired data into training-ready datasets for frontier model pretraining. Own high-throughput data pipelines, orchestration systems, and tooling that enable fast, reliable, observable, and reproducible data processing at massive scale, with end-to-end visibility into data lineage, freshness, and pipeline health. - Data Quality: Build and deploy high-performance models and algorithms to classify, rank, deduplicate, filter, and clean training data at extreme throughput. Design and execute rigorous experiments across data mixtures, sampling strategies, and quality thresholds to quantify their impact on training loss, downstream evaluations, and model capabilities, translating research findings into production systems. - Crawling: Build and optimize large-scale web crawling infrastructure spanning URL discovery, prioritization, host scheduling, fetching, parsing, and content extraction. Improve crawl coverage, efficiency, and reliability through intelligent scheduling, anti-bot resilience, robust extraction systems, and automated recovery, ensuring high-quality web data flows seamlessly into downstream training pipelines. - Technical Leadership & Collaboration: Lead complex engineering initiatives across Data Platform, Data Quality, Crawling, Acquisition, and model training teams. Influence technical direction, drive architectural decisions, mentor engineers, and translate improvements in data infrastructure, coverage, and quality into measurable gains in model performance. BASIC QUALIFICATIONS: - 5+ years of professional software engineering experience building distributed systems and/or large-scale data infrastructure PREFERRED SKILLS AND EXPERIENCE: - Strong infrastructure or data platform background, ideally with a spike of outlier depth - High-slope engineer who has moved unusually fast (e.g., staff-level ownership within a few years) or brings relevant domain experience - Able to architect and ship end-to-end with high ownership, debug complex systems independently, and work alongside AI agents - Strong intuitions about large-scale distributed systems, including running them reliably at frontier scale - Track record of leading technical projects across teams and mentoring other engineers - Excited to learn how pre-training data shapes model quality, and want the ownership and visibility that comes with building systems that feed frontier training runs ADDITIONAL REQUIREMENTS: - Onsite role: must be able to work in person at the Palo Alto office COMPENSATION AND BENEFITS: The annual compensation range for this role is listed below. Annual Salary: $220,000 - $357,000 USD Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Product Manager, Seller Experience
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 Product Manager in the Internal Products and Technologies organization, you'll own the experiences our sales teams use to configure, price, quote, approve, and close deals. You’ll partner with Engineering, Sales, Deal Operations, Finance, and Legal to shape how customers buy from Anthropic. You’ll balance a fast, simple seller experience with rigorous governance. Responsibilities - Deeply understand sellers, Deal Desk, Legal, and Order Management workflows and how tooling can improve their impact. - Own product strategy and roadmap for quoting, approvals, and deal execution, using AI wherever it makes the experience meaningfully better. - Partner with engineering to design and ship the systems behind quoting, pricing, and approvals, and own adoption as well as launch. - Make prioritization calls across competing stakeholder needs. You might be a good fit if you have - 8+ years in product management, including ownership of complex internal or enterprise products. - Experience building or scaling CPQ (configure, price, quote), pricing, or approval systems for complex enterprise deals. - Experience shipping AI-powered workflows that people relied on in production. - Experience with products where financial controls and auditability matter. - A record of resolving conflicting priorities across functions without direct authority. 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: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Vice President, Clinical Development
Your work will change lives. Including your own. The Impact You'll Make: Recursion is seeking an accomplished clinical development leader to serve as Senior Vice President, Clinical Development. This is a senior operational and strategic role responsible for driving the clinical execution of the company's differentiated pipeline across oncology and rare disease, reporting directly to the Chief Medical Officer. The SVP will serve as the primary architect of clinical development strategy at the program level, translating scientific vision into rigorous, efficiently executed trials that generate compelling data packages to support regulatory advancement and eventual approval. The SVP, Clinical Development will lead a team of clinical scientists and medical directors, and cross‑functional partners spanning biostatistics, clinical operations, regulatory affairs, and translational medicine. This individual will be expected to embed the company's technology‑driven clinical philosophy of applying AI, machine learning, and real‑world data to improve trial design, accelerate enrollment, and strengthen evidence generation into every aspect of clinical program execution. This position represents a rare opportunity to shape the clinical trajectory of a technology‑enabled biotechnology pioneer at a pivotal stage of its growth. The SVP, Clinical Development will play a central role in initiating and advancing clinical programs, including generating the data readouts across multiple programs that will define the company's near‑term value inflection points and long‑term pipeline strategy. In this role, you will: - Lead the clinical strategy, design, and execution of this company’s oncology and rare disease programs. - Define and execute clinical development strategy for assigned programs, including study design, endpoint selection, patient population strategy, and regulatory pathway, in close alignment with the CMO and executive leadership team. - Lead the design, initiation, and oversight of early and late-stage clinical trials across oncology and rare disease indications, ensuring scientific rigor, regulatory compliance, and operational excellence. - Partner with organization’s ClinTech organization to embed clin tech within the clinical development function, applying AI-assisted protocol design, digital enrollment tools, and advanced analytics to improve trial efficiency and evidence quality. - Provide direct leadership and mentorship to a team of clinical development professionals, including medical directors and clinical scientists; foster a culture of scientific excellence, accountability, and collaboration. - Partner closely with Regulatory Affairs to lead FDA and international agency interactions, guide IND strategy, and support clinical sections of regulatory submissions and responses. - Collaborate with Clinical Operations to ensure trials are delivered on time, on budget, and to the highest quality standards; provide clinical oversight and governance throughout study execution. - Integrate with Translational Medicine and Biostatistics to develop biomarker strategies, patient selection criteria, and adaptive trial designs that maximize probability of technical success. - Oversee clinical safety monitoring, adverse event review, risk management and interactions with Independent Data Monitoring Committees. - Contribute to portfolio prioritization decisions and resource allocation discussions with the CMO and executive team, providing clinical input on go/no-go decision frameworks and program risk assessments. - Represent the company externally at scientific conferences, advisory boards, investigator meetings, and key opinion leader engagements; serve as a credible scientific spokesperson for the clinical development organization. - Support business development due diligence, partnership discussions, and potential in-licensing evaluations with clinical and scientific expertise. - Contribute clinical content for investor communications, including earnings calls, KOL events, and R&D days, in partnership with the CMO and Investor Relations. The Team You'll Join: You will join Recursion’s Clinical Development organization, reporting to the Chief Medical Officer. The Clinical Development team is an empowered, execution-minded group responsible for translating Recursion’s innovative science into medicines for patients. You will work closely with leaders across Development, Regulatory, Development Sciences, Clinical Operations, Data Science, Biology, Chemistry, Portfolio Strategy, Communications, Legal/Compliance, and future commercialization functions. Together, you will help ensure Recursion’s clinical programs are informed by robust evidence, external medical insight, patient need, and the full potential of the RecursionOS. The Experience You'll Need: - 15+ years of clinical development experience, with substantial time spent in oncology, rare disease, immunology or precision medicine in the biotechnology or pharmaceutical industry. - MD, MD/PhD with specialization in oncology, hematology, rare disease, immunology or a related biomedical discipline. An MD or MD/PhD is strongly preferred given the clinical nature of the role and the expectation of direct regulatory and investigator-facing engagement. - Demonstrated experience leading Phase 1 and Phase 1/2 clinical trials for novel mechanisms, including dose-escalation studies and biomarker-selected populations; direct accountability for IND filings and clinical development plans is required. - Strong track record of cross-functional program leadership, with experience managing and developing teams of clinical scientists and medical directors. - Experience working in or comfort operating within a TechBio, data science-forward, or AI-enabled drug development environment; intellectual curiosity about the application of AI and digital tools to clinical development is essential. - Direct experience engaging with FDA and other regulatory agencies is required. - Proven ability to operate with scientific rigor and operational discipline in a resource-constrained, clinical-stage company; experience managing development timelines and budgets is required. - Strong scientific acumen in small molecule drug development, kinase biology, oncology mechanisms of action, or rare disease pathophysiology; comfort engaging at the level of detail required to drive protocol design and data interpretation. - Exceptional communication and leadership skills, with the ability to represent the organization credibly to regulators, investigators, and key opinion leaders. - Experience in late-stage development, including designing and executing Phase 3 trials and regulatory submissions for marketing authorization, is highly desired. - Experience working in a publicly traded company with exposure to investor-facing communications and an understanding of the business context within which clinical milestones are delivered is preferred. - Strategic mindset balanced with a hands-on operational orientation; ability to move fluidly between high-level strategic discussions and program-level execution details. LI-DB1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Security Engineer, RF and Technical Surveillance C...
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 trained and served on hardware in data centers Anthropic operates and in sites partners build and run for us. DCSE secures that footprint: the sites, the hardware moving through them, and the people and vendors who touch it. Part of that footprint is the radio spectrum around and inside each site: what transmits there, what listens there, and what the equipment itself gives off. You'll be the engineer who owns that domain end to end: on-site RF monitoring and detection, technical surveillance countermeasures (TSCM) and emanations security, from the threat basis through the systems that make the spectrum observable, to sign-off before a site opens. The engineering is in the monitoring and in the tooling that proves the controls hold: the sensors, receivers and their placement, the site baselines, and the detection logic that turns a rogue transmitter or an unexpected emitter into an alert an analyst trusts. External specialist partners do the hands-on sweep and measurement work; you write the scope, direct them on site and decide whether their report stands. The goal is security that runs itself: coverage, sensor health and evidence verified continuously, with tools and AI agents doing the routine triage. We favor simple, standard controls and tools that can be verified over elaborate ones. We use Claude throughout our engineering workflow and expect you to as well. You'll work with the rest of DCSE, including its physical security systems engineers and the engineers on its security monitoring platform, with Anthropic's data center operations, construction and legal teams, and directly with site operators and landlords. The role is based in San Francisco, with remote applicants in the US considered, and involves regular travel to data center sites, which are critical infrastructure. Key responsibilities - On-site RF monitoring and detection: design and develop the monitoring at each site: sensor, receiver and antenna selection and placement, the spectrum monitoring architecture, site RF baselines and what keeps them current, and detections that reach the team's security monitoring platform as alerts analysts keep trusting - Tools, automation and AI agents: build the detection and classification tooling, the instruments and software for checks between sweeps, the findings and evidence records behind them, and the agents that triage alerts and watch sensor health. When a review keeps costing people time, you build the tool or agent that retires it - Technical surveillance countermeasures: own TSCM end to end: sweep cadence by space sensitivity, event-driven triggers such as fit-out, room turnover or an incident, scope and acceptance criteria per sweep, and findings handled with evidence and closure an assessor accepts - Emanations security: set the posture for sites: the assessment method, zoning and separation, and shielding, filtering and protected cabling where warranted, written into the team's design and build standards so a site can build to them and an assessor can verify them - Wireless and device policy by zone: detect which radios are actually present where (cellular, Wi-Fi, Bluetooth, IoT, trunked radio) and produce the evidence that the policy holds on the floor - Specialist partners: write the scope and the deliverable standard for sweep and assessment work, direct it on site, and decide in the acceptance review whether a report stands - New sites and leases: carry RF and emanations requirements into design reviews, lease terms and pre-opening reviews, and sign off RF and emanations, including the pre-opening sweep and assessment, before a site opens Minimum qualifications - Have built at least one RF monitoring or detection system end to end, from receiver and antenna choice through the software that turns captures into alerts - Understand RF at the engineering level: propagation, modulation, spectrum analysis and antenna behavior, with hands-on use of the instruments that measure them, such as spectrum analyzers and software-defined radios - Have planned and conducted TSCM sweeps yourself and can explain, from having done the work, what a sweep can and cannot find and how an adversary would get past it - Have done RF security, TSCM or emanations work hands-on for data centers, critical infrastructure or a large hardware fleet - Read and review code, design the data systems behind detection and monitoring tooling, and build automation (often with AI coding agents) using Git and code review - Understand compromising emanations and what zoning, shielding and filtering each buy and cost, and write requirements for them that a construction team or a landlord can build to and an assessor can test - Direct a specialist vendor without deferring to them: write the scope, check the work, reject a weak report Preferred qualifications - Experience assessing compromising emanations and shielding or filtering tradeoffs in a live facility, and applying a formal emanations or counter-surveillance standard, government or commercial (TEMPEST, ICD 705 style construction requirements, or a corporate equivalent) - Have built signal classification or spectrum analysis pipelines at scale, or tuned RF detections for a security operations workflow so operators kept trusting them - Familiarity with airspace or drone RF detection, and with where it stops and on-site monitoring starts - Experience at sites you did not fully control: colocation or multi-tenant facilities, where the RF environment and the walls are not yours alone - Have built AI agents or automation that replaced recurring manual security work 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 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Principal Engineer, 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. As one of our principal privacy engineers, you will be among Anthropic's most senior individual contributors on privacy. You will set technical strategy for how personal data is handled across products, research, and infrastructure, and execute the hardest parts of delivering it. You'll work at the intersection of privacy engineering, distributed systems, and AI safety, on problems without established answers. You will lead through influence, quality of thinking, and trust rather than formal authority. Key responsibilities - Define and drive technical strategy and architecture for major areas of privacy, spanning product surfaces, research and training data, internal tooling, and multiple clouds - Identify and lead the highest-complexity, company-critical privacy initiatives, guiding engineers across many teams. Be comfortable building the most difficult pieces yourself - Architect the primitives that make privacy the default and the safe path the fastest one: data discovery, classification, lineage, purpose-based access control, audit, retention, deletion, and export - Turn regulatory, contractual, and consent obligations (e.g., GDPR, CCPA, HIPAA, the EU AI Act) into enforced, continuously verified technical controls in partnership with Legal, Policy, and Compliance team - Anticipate where AI capabilities, regulation, and customer expectations are heading, and position our systems ahead of them - Mentor and develop staff and senior staff engineers, raise the bar for privacy design across engineering, and help hire senior privacy talent - Represent Anthropic's privacy engineering to customers, regulators, standards bodies, and the research community Minimum qualifications - A track record of operating as a Principal engineer or equivalent: setting technical direction that multiple teams adopted, and delivering company-critical, multi-year initiatives - Deep experience applying privacy engineering principles in production systems with a large user base, including privacy by design, data minimization, and purpose limitation - Experience architecting data governance infrastructure (classification, lineage, access control, retention, or deletion) across distributed systems and cloud infrastructure at scale - Proficiency in Python, Go, or similar languages; you are effective writing design docs, making architectural calls, and coding in critical paths - Understanding of privacy regulations such as GDPR and CCPA, and the ability to work as a peer with legal and policy experts to turn requirements into technical designs - Written and verbal communication that builds alignment across engineering, research, legal, and product teams, up to senior leadership Preferred qualifications - Experience building privacy infrastructure or controls for machine learning or AI systems, including training data governance or AI agents - Hands-on experience with privacy-enhancing technologies (e.g., differential privacy, homomorphic encryption, secure enclaves, secure multi-party computation) - Experience establishing or re-architecting a privacy engineering practice under enterprise-customer or regulatory scrutiny - Experience briefing executives, auditors, regulators, or enterprise customers on privacy risk, and defending your recommendations under challenge - A history of growing engineers into Staff-level and more senior roles - Contributions to open-source privacy tooling, privacy research, or industry standards 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: $485,000 - $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Web & Inbound Growth Manager
About the role We’re hiring a Senior Web & Inbound Growth Manager to turn our website into our highest-performing growth channel. Our website is where AI engineers and developers discover Together, sign up to build on our platform, and become customers. You’ll own how that journey performs and how we measure what’s working. As part of our Demand Generation and Growth Marketing team, you’ll work closely with Product Marketing, Brand, Sales, and our Web team to lead CRO and experimentation across the site, optimize our highest-intent pages and campaign landing pages, and scale what works across campaigns. You’ll join a lean, fast-moving team with room to build from the ground up and shape how our website drives growth. Responsibilities - Own conversion performance across the website journey, turning first-time visitors into sign-ups, sales inquiries, and pipeline across self-serve and sales-led paths. - Build and run our CRO and experimentation program, turning data and user insights into hypotheses, running well-designed tests, and scaling what wins. - Optimize high-intent pages across our website and the landing pages behind our paid media, ABM, and event programs to lift conversion and drive more qualified inbound volume. - Partner with Sales and Marketing teams to continuously improve inbound lead quality and volume. Combine sales feedback with web traffic and conversion data to identify gaps, diagnose root causes, and drive improvements in collaboration with channel owners. - Evaluate conversion tools like personalization, chat, interactive demos, and embedded content that moves visitors along the customer journey, in partnership with the Web team. - Own the conversion and experimentation reporting framework, setting tracking standards, QA’ing new pages and tests, and working with analytics partners on implementation and data accuracy. - Collaborate with our Web team, which owns site design, CMS, and structure, to implement and scale optimizations, and support publishing, urgent fixes, and tracking issues during US hours. - Use AI and agentic workflows to speed up analysis, test ideation, page production, and QA. Requirements - 5–7+ years in web growth or CRO at a high-growth B2B SaaS company. Experience with product-led or usage-based businesses is a strong plus. - A proven track record of building and running experimentation programs that measurably improved sign-ups, conversion, and pipeline, using tools such as Optimizely, Webflow Optimize, or similar. - Strong grasp of web UX and the customer journey, with experience optimizing high-intent pages and campaign landing pages across paid media, ABM, and events. - Strong analytical skills and proficiency with GA4 and Google Tag Manager. Comfortable analyzing web traffic, user behavior, conversion funnels, and A/B test results to identify opportunities for improvement. - Hands-on with modern CMS and web platforms (e.g., Webflow), with experience evaluating conversion tools and building templated pages at scale. - Clear communicator and strong cross-functional partner who is curious about technical products, comfortable working with developer audiences, and uses AI and agentic workflows to work smarter. - Thrives in ambiguity and takes ownership. You spot gaps as new needs emerge and partner across teams to close them. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $180K - $200K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Application Policy Please read each role carefully and apply to the position best suited to you. Candidates are limited to 6 applications within a 90-day period, and applications beyond that limit will be automatically rejected. You may apply to additional roles 90 days after your last application. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy .
Engineering Manager, Kubernetes Bare Metal Infrast...
About The Role We are hiring an Engineering Manager/Tech Lead Manager to lead the team that runs Kubernetes on bare-metal GPU infrastructure at Together AI. You will own how thousands of GPUs across our data centers are provisioned, orchestrated and kept healthy for the customers training, fine-tuning and serving models on our platform. Together AI is the AI Native Cloud: a full-stack platform for running open and custom generative AI models, from GPU clusters to serverless inference. Our research and engineering teams contribute widely used open-source work such as FlashAttention, and our infrastructure runs at the frontier of GPU hardware. This team sits at the base of that stack. Every training run, inference endpoint and customer cluster depends on the reliability, utilization and speed of the bare-metal Kubernetes layer you will lead. Responsibilities Own the bare-metal Kubernetes platform - Set the technical direction for how we run Kubernetes on bare metal across multiple data centers and regions. - Drive automated, zero-touch provisioning of GPU nodes, from firmware and OS imaging through cluster join and validation. - Own cluster lifecycle at scale: upgrades, capacity expansion, node health checks, automated remediation and decommissioning. - Make GPU scheduling, topology-aware placement and high-performance networking (InfiniBand, RoCE, RDMA) first-class in the platform. Drive reliability and efficiency - Define and meet SLOs for cluster availability, node bring-up time and GPU utilization. - Invest in observability across hardware, networking, Kubernetes and workloads so failures are found before customers see them. - Cut the time from racked hardware to customer-ready capacity. Lead and grow the team - Hire, manage and develop a team of infrastructure and platform engineers, setting a high bar for technical depth and operational ownership. - Run the team's planning, prioritization and delivery, balancing roadmap work against fleet growth and production support. - Build a healthy on-call culture: sustainable rotations, blameless postmortems and follow-through on remediation. - Work with data center operations, networking, hardware vendors, inference, training and product teams to plan capacity and launch new hardware generations. - Represent the platform's needs and trade-offs to leadership, and turn customer requirements into a clear roadmap. Requirements - 8+ years in infrastructure, SRE or platform engineering, including 2+ years managing engineers. - Deep hands-on experience running Kubernetes in production at scale, ideally on bare metal rather than only managed services. - Solid grounding in Linux systems, networking and hardware: kernels, drivers, BIOS/BMC, PXE boot and out-of-band management. - Experience building automation for fleet provisioning and lifecycle with tools such as Cluster API, Metal3, Ironic, MAAS, Ansible or Terraform. - A track record of owning production systems with on-call, SLOs and incident response. - Strong technical judgment: you can review designs, debug alongside the team and make clear trade-offs. - Clear communication with engineers, leadership and external partners. Nice to have - Experience operating large NVIDIA GPU clusters (H100, H200, B200, GB200) and the NVIDIA GPU and Network Operators, DCGM and NCCL. - Familiarity with InfiniBand, RoCE, SR-IOV and high-performance storage for AI workloads. - Experience with Slurm, Kueue, Volcano or other batch schedulers for training workloads. - Contributions to Kubernetes or related CNCF projects. - Experience at an AI lab, GPU cloud or hyperscaler. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $300,000 -350,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Application Policy Please read each role carefully and apply to the position best suited to you. Candidates are limited to 6 applications within a 90-day period, and applications beyond that limit will be automatically rejected. You may apply to additional roles 90 days after your last application. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Transaction Principal
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 Transaction Principal for Australia at Anthropic, you'll drive the commercial sourcing and transaction execution process for our Australian data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems in the region — you'll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets team who own the Australia market strategy and government relationships. This is not an established leasing org; you'll be building process alongside execution. Responsibilities: - - Lead the RFP and commercial sourcing process for Australian data center deals, managing developer outreach, proposal evaluation, and competitive selection - Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships - Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure - Serve as project manager for cross‑functional stakeholder engagement — coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution - Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status - Develop and maintain transaction timelines, tracking critical‑path items and proactively identifying risks that could impact deal closure - Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms - Manage complex digital infrastructure development activities to a construction‑ready state, through a developer or directly - Marry the right projects, capital stacks, and developers at the right stages - Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint in region - Partner with the Compute Markets Manager to prioritize sites and counterparties, and feed deal learnings back into Australia market strategy You may be a good fit if you: - Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement - Possess a proven track record of managing complex, multi‑stakeholder transactions from sourcing through execution - Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements - Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously - Have experience with RFP processes and competitive sourcing for large‑scale infrastructure or real estate transactions - Have experience working in or with Australian markets, with knowledge of the local real estate and development landscape - Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives - Can operate effectively in fast‑paced, ambiguous environments where processes are being built alongside execution - Demonstrate exceptional communication skills and can coordinate effectively across time zones with HQ‑based teams and external partners It's a bonus if you: - - Have experience with data center or hyperscale infrastructure transactions specifically - Come from the development side of the industry rather than traditional brokerage/leasing — you understand how DC development works and how value is created (yield‑on‑cost, cap rates, development fees) - Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity - Have worked with legal teams on complex lease negotiations or infrastructure agreements - Understand utility coordination, power procurement, or energy considerations in data center transactions, particularly in the Australian context (NEM, grid connection) - Have relationships within the Australian data center developer and broker ecosystem - Have a background in corporate development, strategic partnerships, or infrastructure investment - Have experience in high‑growth technology companies managing infrastructure expansion Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Partnerships Enablement Specialist, Japan
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 Japan is one of our fastest-growing partner markets, and partner demand for training and certification is ahead of our capacity. You will be our in-market enablement owner for Japan. You will take the global programs built by our Curriculum, Certification, and Applied AI teams and make them work for Japanese system integrators, from global integrators with large Japan practices to regional and specialist firms, so their teams can confidently sell and deliver Claude. You work as the Japan extension of the SI Enablement Lead, in close partnership with the Japan Partner Account Managers (PAMs). The PAMs own the commercial relationship, the joint business plan, and executive alignment. You own readiness: what ready looks like for practitioners inside Japanese SIs, and the path that gets them there. What you will do - Serve as the enablement counterpart to Japan SI alliance, practice, and L&D leaders, working alongside the Japan PAMs. - Build and execute a readiness plan for 3-5 regional priority partners (based on leadership priorities), while guiding the rest through scaled offerings. - Define what ready means for an individual practitioner in a Japanese SI (demonstrated skill, not course completions), building on Partner Enablement’s global competency framework and adapting role definitions to how Japanese SIs staff and organize delivery teams. - Partner with the training team on the instructor-led portfolio, bringing the right training to market with localized delivery partners. What this role does not own - Partner relationships. Japan PAMs own the commercial relationship, joint business plan, pipeline targets, and executive alignment. - Building curriculum and certification. The Training & Curriculum and Certification teams build these once, centrally. You activate them in Japan and bring back what needs to change. - The external training delivery bench. Delivery partners run the sessions. You partner with them and the training team to bring the right programs to market. - 1:few or one-off enablement. The focus is on repeatable, 1:many programs. Qualifications - 5+ years in partner enablement, technical training, partner programs, or alliances in Japan, ideally with or inside Japanese SIs or a hyperscaler’s Japan partner team - Working knowledge of how Japanese SIs build, staff, fund, and certify a technology practice - Experience delivering or coordinating workshops, instructor-led training, or certification programs - Experience building enablement as a repeatable program, with some tiering of coverage (hands-on for priority partners, programmatic for the rest) - Ability to define and track outcome measures beyond attendance and completions - Credibility with partner practice, alliance, and L&D leaders - Self-directed, comfortable prioritizing independently and working with a manager in a different time zone - Excellent program management skills, a systems mindset, and comfort operating in ambiguity - Strong presence in front of an audience - Native Japanese and fluent business English Preferred - Experience with Claude or other LLM platforms - Experience with a hyperscaler certification program in Japan - A background localizing technical content - Existing relationships at Japanese SIs - Experience working with training vendors or an authorized training partner model Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Strategic Account Executive Inference India
About the Role We’re hiring a Strategic Account Executive (Inference) to own a portfolio of high-priority AI-native and enterprise accounts selling You’ll be responsible for generating pipeline, closing new business, and expanding customers across Together’s platform. You’ll work with technical teams, business leaders, and executives to understand their AI strategy and identify where Together can support production workloads, and also partner closely with Solutions, Engineering, and Research to run POC evaluations and move customers from initial use cases to broader deployments. This role requires experience managing complex sales cycles, technical fluency, and a track record of building pipeline and closing large deals. Responsibilities - Close deals and drive revenue: own the full sales cycle for strategic AI-native and enterprise accounts, from prospecting through close and expansion. - Manage and prioritize across multiple complex sales cycles simultaneously. Be able to keep scope defined, while also being flexible in dealing with new challenges and priorities. - Generate a strong pipeline, identifying high value customer segments/use cases and strategically positioning Together’s offerings. - Partner with Solutions Architecture, Research, and Engineering to design solutions/POCs and prove value across inference and post-training engagements. - Inform product needs by conveying customer needs, using these insights to enhance Together’s offering and market positioning. - Help improve Together’s sales process, positioning, and overall best practices. Requirements - 7+ years of B2B technology sales experience, including experience with strategic startup or enterprise accounts. - Must have 1-2 years having a track record of closing Inference Opportunities. - A track record of closing and expanding strategic, complex deals – especially with deep technical/commercial requirements requiring tailored solutions. - Technical and business fluency: ability to work effectively with both technical and business stakeholders, speaking with depth on technical ML/infrastructure topics while also connecting with business/C-level needs. - Ability to drive external and internal alignment and a “roll up your sleeves'' mentality to problem solving. Comfort working in a fast-moving environment where the product and market evolve rapidly month over month. - Ability to build and maintain lasting relationships over time with top strategic accounts – both from an executive and IC level, across technical and commercial orgs. - A passion and curiosity for AI infrastructure. Be on the frontlines of inference and post-training, and shape the trajectory and narrative moving forward. Preferred Qualifications - Experience selling to both AI-native companies and large enterprises - Experience with developer/AI/infra products preferred - Experience at a high-growth technology company About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Application Policy Please read each role carefully and apply to the position best suited to you. Candidates are limited to 6 applications within a 90-day period, and applications beyond that limit will be automatically rejected. You may apply to additional roles 90 days after your last application. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy
Senior Applied AI Engineer
About the role Scale's Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. As a Senior Applied AI Engineer, you'll own the AI behaviour of production systems our clients depend on, including the agents, evaluations, and backend integration behind them. You'll lead delivery for your workstream and act as the technical point of contact for clients on how their AI performs on live data. What you'll do - Own the AI layer of production systems for public sector clients, including agents, model integration, and the backend services they run on - Build production agents from established architectural patterns, with reliable tool calling, guardrails, and observability - Select and adapt established evaluation methods, and design new evaluations for client-specific risks where the use case requires them - Apply context engineering, retrieval-augmented generation, model adaptation, or inference optimisation where the use case calls for them - Investigate regressions in the systems you own, lead root-cause analysis, and implement preventative changes - Lead project planning for your workstream and manage client expectations on scope, risk, and delivery - Codify recurring client work into reusable tooling, evaluation components, or guidance that other engineers adopt - Mentor engineers through code review, pairing, and delegated ownership What we look for - Backend engineering experience, with a track record of taking AI/ML systems into production and keeping them reliable - Experience owning the AI behaviour of a production system end to end, rather than delivering a component scoped by another team - Experience designing evaluations that tie model behaviour to real-world outcomes, and using them to catch regressions - Experience leading root-cause analysis on a production AI or ML system - Comfort working directly with clients, including explaining model behaviour and trade-offs to non-technical stakeholders - Experience handling regulated or sensitive data and designing for auditability; sovereign or on-premise deployment experience is valuable Where this role sits Your primary accountability covers production AI behaviour, its backend integration, and the evaluation required for a specific customer. Senior Full-Stack Engineers own the complete user-facing application and its infrastructure. ML Research Engineers lead novel agent architecture and the benchmark methodology used across accounts. The roles work together on agents and evaluation, with accountability set by the scope of the problem. 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.
Engineering Manager, Agent Security Partnerships
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 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 growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Agent Security's mission is to safely increase how much of the world's work agents can do, starting inside Anthropic. Claude now writes and ships code, runs experiments and acts on people's behalf, for hours at a time. How much more it can take on depends on how safely it can operate. If, in the worst case, an agent misbehaves, Anthropic and the public may bear the consequences. Our mandate is to mitigate this risk, and Anthropic’s mission depends on it. The Partnerships team pairs security engineers with the teams at Anthropic that build Claude, build agents and rely on agents. Those teams are our partners. When a team wants its agents to do more, we threat model the plan with them and build the controls together. Most of this has no playbook, so we have often created new controls from first principles. The ones that work become part of our toolbox, spread to other teams, and in some cases ship in our products. We're hiring an Engineering Manager to lead this team of security engineers. This is first and foremost a people leadership role. Few have secured agents at scale, especially at a frontier lab, so we don't expect you to have done it. We do expect you to have led security engineering teams, and we care most about how you lead people and reason about security. This role operates at the frontier. Each model generation, and each new harness, brings new challenges. The number of teams building on agents keeps growing, and partner teams won't always agree with your calls. In return, you will have the chance to directly contribute to making transformative AI go well, which is the heart of our mission. Key responsibilities - Hire, mentor and grow senior and staff security engineers, and raise the bar as the team scales - Set the team's investment strategy, deciding which teams get embedded engineers, and for how long, as demand outgrows the team - Support the team through high-stakes safety and security calls made under uncertainty and on tight timelines - Balance long-term investment in shared controls against partner teams’ immediate asks - Deliver large security migrations across all of Anthropic - Work through difficult tradeoffs with partner teams in ways that build trust and understanding Representative Projects In the past, the team has: - Invented a new kind of classifier-based control for agents partnering with an internal team to develop and roll it out - Co-built a sandbox with a product team, choosing what to enforce first so that adoption stuck - Defined the security standards for running agents across the company and partnered with many different teams on how to hit these standards Minimum qualifications - Excellent people management skills. You've hired, developed and managed senior and staff engineers, grown engineers into staff or lead roles, and kept a team delivering through changing priorities. - Deep security management experience. You've managed security engineering teams and answered to executives for risk and tradeoffs. - Strong written and oral communication skills. You've explained hard tradeoffs to executives and to engineers in plain words. - Resilience, emotional awareness, low ego and high empathy - Experience leading large migrations and highly cross-functional work - A willingness to dive into the details to tie-break complex trade-offs without any clear answer, and the ability to stand by these decisions Preferred qualifications - Experience embedding security engineers with product, infrastructure or research teams, or running a security partnerships team - Agent security or AI/ML security experience - Familiarity with AI safety concepts and research - Leading in hypergrowth The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
[C] Research Engineer, Discovery
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. https://job-boards.greenhouse.io/anthropic/jobs/4669581008 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 Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. About the role As a Research Engineer on our team you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines. Join us in our mission to develop advanced AI systems pushing the frontiers of science and benefiting humanity. Responsibilities: - Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments - Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities - Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI. - Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows - Collaborate to translate experimental requirements into production-ready infrastructure - Develop large scale data pipelines to handle advanced language model training requirements - Optimize large scale training and inference pipelines for stable and efficient reinforcement learning You may be a good fit if you: - Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems - Are a strong communicator and enjoy working collaboratively - Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads - Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale - Have proven track record of building large-scale data pipelines and distributed storage systems - Excel at diagnosing and resolving complex infrastructure challenges in production environments - Can work effectively across the full ML stack from data pipelines to performance optimization - Have experience collaborating with other researchers to scale experimental ideas - Thrive in fast-paced environments and can rapidly iterate from experimentation to production Strong candidates may also have: - Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.) - Background in building infrastructure for AI research labs or large-scale ML organizations - Knowledge of GPU/TPU architectures and language model inference optimization - Experience with cloud platforms (AWS, GCP) at enterprise scale - Familiarity with VM and container orchestration. - Experience with workflow orchestration tools and experiment management systems - History working with large scale reinforcement learning - Comfort with large scale data pipelines (Beam, Spark, Dask, …) 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: $350,000 - $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
AI Scientist Intern - (Internship, Masters or Phd)
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary -You will be working with the research team on making state-of-the-art generative models. -You will run autonomous work streams under the supervision of experienced scientists. -The role is based in our Palo Alto or Montreal office. -Internship duration : 3-6 months. We will only consider candidates looking for end of studies internships (Master or Phd) What you will do -Explore state-of-the-art LLM algorithms for training LLMs, with the supervision of top level scientists. -Assist in the design and implementation of machine learning models and algorithms. -Conduct research on the latest advancements in natural language processing and LLMs. -Contribute to the development and optimization of our LLM systems. -Collaborate with cross-functional teams to integrate LLM technologies into various applications. -Perform data analysis and visualization to support research and development efforts. -Document research findings and contribute to technical reports and publications. -Participate in team meetings and brainstorming sessions to share ideas and insights About you -Currently doing a Master or PhD at a tier 1 engineering schools / Universities. -High scientific understanding of the field of generative AI. -Broad knowledge of the field of AI, and specific knowledge or interest in fine-tuning and using language models for applications. -Strong programming skills in Python, with experience in libraries such as TensorFlow, PyTorch, or similar. -Familiarity with natural language processing techniques and machine learning algorithms. -Design complex software and make them usable in production. -Navigate the full MLOps technical stack, with a focus on architecture development and model evaluation and usage. -Previous experience with LLMs or related technologies. -Knowledge of deep learning frameworks and techniques..Experience with version control systems (e.g., Git) and linux shell environment. Now, it would be ideal if you : -Have experience in fine tuning LLMs. -Have used complex HPC infrastructure with full autonomy. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Solutions Architect, Metronome (AI Native)
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 Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, now a Stripe product, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes hundreds of millions of invoices per billing period and continues to scale rapidly to accommodate new customers. We save them days of development time and manual invoicing, enabling them to use their billing data to better serve their customers. Our customers love our product and approach, and we’re humbled to work with amazing companies like OpenAI, Anthropic, NVIDIA, TogetherAI, HuggingFace, and many others. You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our Stripes have direct experience building and scaling teams through massive growth at companies like Dropbox, Palantir, and MongoDB. You'll be joining Stripe and be part of the holistic Stripe platform approaching monetization. What you’ll do The Metronome AI Native Solutions team operates at the intersection of technical sales, implementation, and customer success, purpose-built for the velocity and unique needs of AI-first companies. Unlike traditional sales engineering roles, this position owns the large parts of if not all of the deal cycle - from first call through technical win - and gets hands-on with implementation to ensure customers go live quickly. As an AI Native Solutions Architect, you'll be the primary technical owner for fast-moving AI companies that may need to launch usage-based billing on tight timelines. This means: Owning the technical win: - Taking qualified inbound leads and driving them through discovery, demo, POC, and technical win - Using efficient discovery to quickly understand billing challenges, product launch timelines, and technical requirements - Bringing energy and urgency to every engagement—proactively driving deals forward, identifying blockers early, and building relationships across the customer organization (engineering, finance, product) to create champions - Running streamlined demos tailored to technical founders and product/engineering teams Driving hands-on implementation: - Providing customers with clear, actionable implementation plans to implement their usage-based billing launches - Writing code snippets, configuration examples, and integration guides to accelerate customer time-to-value - Pair programming or working alongside customer teams during POCs and initial setup - Designing up/downstream integrations into prospect systems with a bias toward pragmatic solutions that get them live quickly Building deep AI market expertise: - Building relationships with technical founders, engineering leaders, product, and finance teams at AI companies - Understanding the unique monetization challenges facing LLM providers, generative AI companies (image, video, audio), and AI tooling/wrapper companies and providing consultative guidance when prospects need direction on pricing and packaging strategy and implementation - Staying current on AI industry trends, pricing models, and competitive dynamics This role is perfect for someone who thrives in high-velocity environments, loves solving technical problems in real-time, and wants to be on the front lines of how AI companies monetize their products. Metronome directly influences how the next generation of AI infrastructure gets built—and our AI Native Solutions team drives this influence with our fastest-growing customer segment. The Metronome team still operates very much like a startup. As such, there's a lot still to figure out and tremendous room for high-agency, curious individuals to impact our direction and strategy, build processes from zero to one, and generally make a difference. If this excites you as much as it excites us, let's talk. Who you are This is roughly the set of things we’re looking for - if you’re interested in this role and don’t meet some of these on paper, err on the side of applying! Minimum requirements - 10+ years of experience in technical, customer-facing roles involving SaaS products (for example, sales engineering, solutions architecture, technical account management, implementation consulting) - Experience working with, at, or selling to AI companies - you understand how AI-first companies operate, their unique challenges, and the market landscape - Proven ability to own and drive customer-facing engagements and relationships independently - Strong technical aptitude with the ability to quickly learn new systems, write code snippets, and guide technical implementations - Experience working in high-velocity environments where speed-to-value matters and customers need to launch quickly - Excellent communication skills with technical buyers (engineers, product managers, technical founders) Preferred qualifications - Deep knowledge of the quote-to-cash space, including integrating with or otherwise interacting with tools like Salesforce, NetSuite, CPQs, etc. - Experience as a software engineer, product manager, or in other technical roles. - Experience in a pure sales role, particularly selling to technical buyers in engineering and product organizations or selling as a founding or early salesperson at a startup. - Familiarity and enthusiasm for AI developer tooling (Cursor, Lovable, Vercel, LangChain, etc.) and the broader AI infrastructure ecosystem This role offers a unique opportunity to shape the future of AI monetization at one of the world's leading fintech companies. Join us in defining how the next generation of AI businesses will scale and succeed.
Recruiting Coordinator
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. As a Recruiting Coordinator, you'll be the person who makes candidates feel genuinely welcomed through every interaction, and the person our hiring teams rely on to keep everything running like clockwork. You'll be part scheduling tetris wizard, part host, and part operations builder. This is an opportunity to be part of building something from the ground up. The team you help hire today will shape what SpaceXSI becomes. This role is for you if you love the satisfaction of getting things done quickly, thrive in environments that are fluid and constantly evolving, obsess over learning new things, and enjoy meeting and interacting with new people. RESPONSIBILITIES: - Own the full scheduling experience including interview coordination so every candidate and interviewer shows up informed, prepared, and on time. - Host candidates onsite and create a candidate experience that's warm, human, and memorable. - Keep candidates and hiring teams in the loop throughout the process with timely, warm, and clear communication. - Partner closely with recruiters, interviewers, and hiring managers to anticipate needs, solve problems in real time, and keep things moving. - Keep our Applicant Tracking System accurate and up to date so nothing falls through the cracks. - Identify and execute on opportunities to improve how we operate. BASIC QUALIFICATIONS: - Bachelor’s degree. PREFERRED SKILLS AND EXPERIENCE: - Experience coordinating high-volume schedules or logistics through internships, campus leadership or early-career roles in recruiting, people operations, executive or administrative support, or hospitality and events. - Excellent organizational, project management, and multitasking abilities. - Team player with a high sense of urgency. - Experience managing many concurrent requests while maintaining accuracy. - Strong interpersonal and communication skills. - Experience delivering a high-quality experience to candidates, clients or guests. - Comfortable handling confidential information with discretion. - Experience with Ashby, Greenhouse or similar Applicant Tracking System. ADDITIONAL REQUIREMENTS: - This role is based at our San Francisco office and is fully in-office, 5 days per week. COMPENSATION AND BENEFITS: The annual compensation range for this role is listed below. Annual Salary: $80,000 - $100,000 USD Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
SMB Lead - APAC
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the Role As the APAC Corporate Lead, you will be the strategic force behind scaling and optimizing our Corporate AE organization across APAC. You’ll own revenue outcomes and team performance across our Corporate segment, with a strong focus on building repeatable, high-velocity sales motions. This role blends hands-on leadership with strategic execution in a fast-growing environment. - Lead, coach, and scale a team of Corporate AEs, owning recruiting, onboarding, enablement, and performance management. - Own pipeline health and forecasting, driving consistency and improving conversion rates across each stage of the funnel. - Develop and refine sales playbooks, motions, objection frameworks, and deal models tailored to Corporate segment buyers and voice AI / conversational use cases. - Partner cross-functionally with Marketing, Product, Growth, and Customer Success to align positioning, messaging, and expansion opportunities. - Establish feedback loops by synthesizing insights from prospects and customers to help inform GTM strategy and product roadmap decisions. - Help drive automation in the Corporate segment by turning repeatable sales workflows into AI-powered tooling that improves rep efficiency and consistency. Requirements - 5+ years of SaaS / technology sales experience as a top performer; prior sales leadership experience (2+ years) preferred. - Demonstrated success surpassing revenue targets in a Corporate or velocity-oriented sales environment. - Strong command of sales metrics, funnel optimization, forecasting, and process rigor. - Experience selling technical, AI, or API-driven solutions to Director- and VP-level stakeholders. - Excellent communication skills and ability to influence across teams and seniority levels. - Comfortable operating in fast-paced, ambiguous, high-growth environments with high ownership. - Fluent using AI tools in daily work; experience building or rolling out AI-driven sales workflows or tooling is a strong plus. Location This role is remote-first, however there is a preference for candidates to be based in Singapore or India with the option to work out of one of our offices. LI-remote 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.
Applied AI Engineering Manager, Startups | Greenfi...
About the Team The Applied AI Engineering team partners closely with customers to help them move from experimentation to production with OpenAI’s technologies. We act as trusted technical advisors, working across customer strategy, architecture, deployment, and adoption to help organizations realize meaningful impact from frontier AI. The Startups segment serves fast-moving, high-growth companies that are often building new products, workflows, and businesses directly on top of AI. These customers move quickly, operate with high ambiguity, and expect practical, creative, and technically rigorous partnership. About the Role We are looking for an Applied AI Engineering Manager, Startups, Greenfield to lead and scale our Applied AI Engineering team. Greenfield encompasses two complementary motions: helping early-stage startups reach their first meaningful production deployment and initial scale, and winning high-potential startups through competitive evaluations and migrations. Depending on the team you lead, you will coach engineers towards scalable activation or deep, targeted technical pursuits. This leader will operate in a high-velocity customer segment where founders, CTOs, and technical teams expect speed, judgment, and hands-on problem-solving. They will balance team leadership, technical depth, customer prioritization, and cross-functional influence across Sales, Product, Engineering, Research, and broader go-to-market teams. In this role, you will define how OpenAI supports startup customers at scale: identifying where deep technical engagement can unlock outsized impact, building repeatable deployment mechanisms, and ensuring the team can serve a broad and dynamic customer base without losing quality or strategic focus. In this role, you will: - Craft and continuously refine the strategic vision and operating model for the Startups Applied AI Engineering team, aligning it with OpenAI’s broader company objectives and the evolving needs of high-growth startup customers. - Lead, mentor, and grow a team of high-performing technical ICs supporting startup customers across AI-native, developer-led, and product-led companies. - Help startups move from early experimentation to production usage by identifying technical blockers, advising on architecture, and driving practical paths to deployment. Lead technical strategy for priority competitive pursuits, coaching engineers on workload discovery, representative evaluations, quality and cost optimisation, and migration planning. - Partner closely with Sales to determine where technical engagement can accelerate adoption, production usage, and long-term account growth. - Represent the technical voice of startup customers by synthesizing high-signal feedback, especially around developer experience, product gaps, deployment blockers, model performance, and emerging use cases. - Translate recurring startup needs into repeatable playbooks, starter packs, reference architectures, internal tooling, and customer-facing assets that help the broader team move faster. - Serve as a senior technical escalation point for priority startup customers, including founder-, CTO-, and technical executive-level conversations. - Balance urgent customer needs with OpenAI’s broader product and platform priorities, especially when startups request niche features, bespoke support, or accelerated roadmap changes. - Coach Applied AI Engineers on technical quality, customer judgment, prioritization, executive communication, and cross-functional partnership. - Work closely with VC Partnerships, Marketing, and developer-facing teams to turn ecosystem relationships and programmes into technical engagement, first production deployments, and sustained adoption. Build repeatable technical programmes, workshops, and starter patterns that expand the team’s reach. You might thrive in this role if you: - Have proven experience founding, scaling, or operating within early-stage startups, ideally in technical leadership roles where you owned both product or customer outcomes and technical execution. - Have a strong track record of building and leading technical, customer-facing teams in high-growth, ambiguous, or startup-heavy environments. - Bring strong technical depth across APIs, platform products, AI/ML systems, developer workflows, and production deployment considerations. - Have experience creating scalable operating models, not just managing one-off customer escalations. - Are comfortable working directly with founders, CTOs, technical executives, and highly technical ICs. - Demonstrate strong judgment about when to go deep for a strategic customer versus when to build repeatable mechanisms for the broader segment. - Can translate complex technical and product considerations into clear decisions, practical guidance, and customer-facing recommendations. - Operate with speed, iteration, and pragmatic customer impact without sacrificing quality, safety, or OpenAI’s long-term platform strategy. - Are personally committed to fostering the safe and beneficial development of AI. Success will be measured by: - A strong cadence of successful customer sprints, first production deployments, and competitive migrations. - Strong Product and Research feedback loops informed by startup customer needs and emerging use cases. - Sustained growth in startup usage following activation or migration, including tokens, requests, and production workloads, with clear handoffs into Core coverage. - High-quality customer stories, founder and CTO satisfaction, and referenceable startup wins. - Creation of repeatable technical programmes, startup deployment patterns, starter packs, templates, and reference architectures that expand technical reach. - A healthy, high-performing team with strong prioritization, clear operating mechanisms, and the ability to scale coverage across a high-demand segment. 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.
Applied AI Engineering Manager, Startups | Core
About the Team The Applied AI Engineering team partners closely with customers to help them move from experimentation to production with OpenAI’s technologies. We act as trusted technical advisors, working across customer strategy, architecture, deployment, and adoption to help organizations realize meaningful impact from frontier AI. The Startups segment serves fast-moving, high-growth companies that are often building new products, workflows, and businesses directly on top of AI. These customers move quickly, operate with high ambiguity, and expect practical, creative, and technically rigorous partnership. About the Role We are looking for an Applied AI Engineering Manager, Startups to lead and scale the Startups Applied AI Engineering motion. This team helps high-growth startups move quickly from experimentation to production, unlock meaningful usage, and build durable technical partnerships with OpenAI. This leader will operate in a high-velocity customer segment where founders, CTOs, and technical teams expect speed, judgment, and hands-on problem-solving. They will balance team leadership, technical depth, customer prioritization, and cross-functional influence across Sales, Product, Engineering, Research, and broader go-to-market teams. In this role, you will define how OpenAI supports startup customers at scale: identifying where deep technical engagement can unlock outsized impact, building repeatable deployment mechanisms, and ensuring the team can serve a broad and dynamic customer base without losing quality or strategic focus. In this role, you will: - Craft and continuously refine the strategic vision and operating model for the Startups Applied AI Engineering team, aligning it with OpenAI’s broader company objectives and the evolving needs of high-growth startup customers. - Lead, mentor, and grow a team of high-performing technical ICs supporting startup customers across AI-native, developer-led, and product-led companies. - Help startups move from early experimentation to production usage by identifying technical blockers, advising on architecture, and driving practical paths to deployment. - Partner closely with Sales to determine where technical engagement can accelerate adoption, production usage, and long-term account growth. - Represent the technical voice of startup customers by synthesizing high-signal feedback, especially around developer experience, product gaps, deployment blockers, model performance, and emerging use cases. - Translate recurring startup needs into repeatable playbooks, starter packs, reference architectures, internal tooling, and customer-facing assets that help the broader team move faster. - Serve as a senior technical escalation point for priority startup customers, including founder-, CTO-, and technical executive-level conversations. - Balance urgent customer needs with OpenAI’s broader product and platform priorities, especially when startups request niche features, bespoke support, or accelerated roadmap changes. - Coach Applied AI Engineers on technical quality, customer judgment, prioritization, executive communication, and cross-functional partnership. - Partner across Sales, Product, Engineering, Research, and other GTM teams to improve how OpenAI supports startups from early adoption through scaled production usage. You might thrive in this role if you: - Have proven experience founding, scaling, or operating within early-stage startups, ideally in technical leadership roles where you owned both product or customer outcomes and technical execution. - Have a strong track record of building and leading technical, customer-facing teams in high-growth, ambiguous, or startup-heavy environments. - Bring strong technical depth across APIs, platform products, AI/ML systems, developer workflows, and production deployment considerations. - Have experience creating scalable operating models, not just managing one-off customer escalations. - Are comfortable working directly with founders, CTOs, technical executives, and highly technical ICs. - Demonstrate strong judgment about when to go deep for a strategic customer versus when to build repeatable mechanisms for the broader segment. - Can translate complex technical and product considerations into clear decisions, practical guidance, and customer-facing recommendations. - Operate with speed, iteration, and pragmatic customer impact without sacrificing quality, safety, or OpenAI’s long-term platform strategy. - Are personally committed to fostering the safe and beneficial development of AI. Success will be measured by: - A strong cadence of successful customer sprints and production-oriented technical engagements. - Strong Product and Research feedback loops informed by startup customer needs and emerging use cases. - Increased startup account usage, including tokens, requests, and production workloads. - High-quality customer stories, founder and CTO satisfaction, and referenceable startup wins. - Creation of repeatable startup deployment patterns, starter packs, templates, and reference architectures. - A healthy, high-performing team with strong prioritization, clear operating mechanisms, and the ability to scale coverage across a high-demand segment. 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.
Technical Deployment Lead
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. À propos du poste En tant que responsable du déploiement technique au sein de l'équipe Claude Agentic Solutions, vous aurez pour mission de fournir des solutions d'agents d'IA personnalisées aux entreprises clientes dans des secteurs hautement réglementés. Vous serez responsable d'engagements à forte valeur ajoutée dans le cadre de collaborations directes avec les clients en vue de créer et déployer des agents dans leurs processus métier les plus critiques. Vous ferez partie de l'équipe fondatrice : à ce titre, vous nous aiderez à élaborer des manuels techniques et à définir les processus et les modèles répétables nécessaires pour faire évoluer cette dynamique émergente. Vous assurerez le support de notre mission sur le terrain, assurerez une prestation de classe mondiale et ferez régulièrement part de vos observations à nos équipes en charge des produits et de la recherche. Vous serez responsable des engagements de bout en bout, du cahier des charges au lancement de la production. Vous travaillerez en collaboration avec les ingénieurs déployés sur le terrain qui conçoivent la solution technique, tout en prenant en charge la portée des produits, la gestion des parties prenantes, la mesure de la valeur et la complexité organisationnelle liée au déploiement d'agents IA dans des environnements d'entreprise. Vous devez posséder des compétences techniques suffisantes pour mener des discussions sur l'architecture avec les parties prenantes du secteur de l'ingénierie et suffisamment d'aisance pour présenter des exposés aux dirigeants dans le cadre de leurs missions. Responsabilités - Gérer le planning technique de livraison pour chaque engagement. Structurer les cahiers des charges en précisant clairement le champ d'application, les étapes, les dépendances, les critères de réussite et les hypothèses de valeur. Traduire les objectifs commerciaux du client en feuille de route séquencée que les FDE exécutent. - Superviser la découverte technique : cartographier les flux de travail clients, identifier les contraintes, définir le périmètre MVP et façonner l'architecture de la solution pour les déploiements d'agents personnalisés. - Diriger l'exécution et la livraison des travaux d'ingénierie au quotidien au sein des équipes d'Anthropic et des clients. Assurer l'avancée des projets de manière fluide et séquencée. Effectuer des compromis en temps réel sur la portée et la priorité afin de préserver le chemin critique. - Garantir la portée des produits pour les missions sur le terrain : d éfinir le MVP, rédiger la documentation des exigences, prioriser le backlog d’ingénierie et gérer le périmètre par rapport aux critères de succès à mesure que les exigences évoluent. Prenez en charge la relation client tout au long de la livraison. Organiser des briefings exécutifs, gérer les communications avec les parties prenantes concernant les responsables techniques et l'approvisionnement et représenter Anthropic auprès des hauts responsables commerciaux et techniques en termes de crédibilité technique. Maîtriser la mesure de la valeur et du ROI : définir les hypothèses d'impact, établir les bases de référence et les indicateurs clés de performance, effectuer des mesures avant et après le déploiement et communiquer les résultats aux commanditaires exécutifs. Codifier des modèles de solutions réutilisables, des cadres d'évaluation et des manuels techniques. Consigner les bonnes pratiques des différentes interactions et transmettre les signaux du terrain aux équipes Produit et Recherche afin d'améliorer notre plateforme et nos modèles. Naviguer dans la complexité des entreprises et des réglementations : audits de sécurité, approbations juridiques, processus d'approvisionnement, exigences de conformité et dynamique organisationnelle. Gérer la portée et le changement : gérer l'évolutivité des exigences, définir les attentes, négocier les modifications de contrats, identifier les risques en amont et les signaler avec un contexte clair, le cas échéant. Gérer les opérations de livraison : cérémonies de sprint, revue des étapes et rapports d'avancement. Se rendre sur les sites des clients pour nouer des relations, débloquer les livraisons et accélérer l'adoption (objectif de 25 à 50 %). Profil recherché - Pus de 5 ans d'expérience en leadership technique auprès des clients. Cela peut concerner la gestion de l'engagement technique, la gestion de programmes techniques ou la gestion de produits techniques, les fondateurs/startups, les profils techniques connexes, les services professionnels, le conseil ou les logiciels d'entreprise. - Avoir mis en production des solutions agentiques basées sur l'IA, le ML ou le LLM. Vous comprenez les modèles applicables aux solutions, les approches d'intégration et les réalités du terrain. - Vous êtes capable de mener des discussions sur l'architecture avec les parties prenantes de l'ingénierie, d'évaluer les compromis techniques et de tester les décisions techniques sous pression. Vous n'écrirez pas de code de production, mais serez responsable de la direction technique des engagements aux côtés des ingénieurs déployés sur le terrain (FDE). Vous avez une expérience de la réalisation de projets techniques complexes et à fort enjeu pour des entreprises clientes, dont les résultats dépendent d'une coordination étroite et d'une prise de décision rapide, idéalement dans le cadre d'activités multiples au sein de secteurs réglementés. Vous avez une personnalité affirmée : vous êtes à l’aise, crédible et capable de représenter Anthropic auprès des hauts dirigeants dans des environnements à forts enjeux. Vous surmontez les contextes ambigus et apportez une structure là où il n'y en a pas. Vous avez une mentalité de bâtisseur : vous êtes ici pour créer une fonction, pas pour l'occuper. Atouts supplémentaires - Expérience dans le domaine des services financiers, des soins de santé, des sciences de la vie ou de l'industrie pharmaceutique. - Expérience dans une société d'ingénierie déployée sur le terrain ou dans des sociétés de services professionnels et de conseil. - Compréhension exceptionnelle des capacités et des limites des LLM. - Expérience avec les industries réglementées et les exigences de conformité. - Expérience de la gestion d'équipes de livraison avec des ingénieurs intégrés sur les sites des clients. - Familiarité avec les frameworks d'agents IA, les modèles d'utilisation d'outils et les architectures d'orchestration. About the Role As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors. Responsibilities - Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against. - Lead technical discovery: map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments. - Run day-to-day engineering execution and delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Own product scoping for field engagements: d efine the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve. - Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders. - Own value measurement and ROI: define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors. - Codify reusable solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models. - Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics. - Manage scope and change: handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed. - Run delivery operations: sprint ceremonies, milestone reviews, and progress reporting. - Travel to customer sites to build relationships, unblock delivery, and accelerate adoption (25–50% expected). You May Be a Good Fit If You - Have 5+ years of customer-facing technical delivery leadership — this could be technical engagement management, technical program management, or technical product management, founders/startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software. - Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. - Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs. - Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making, ideally across multiple workstreams in regulated industries. - Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments. - Thrive in ambiguity and bring structure where none exists. - Have a builder's mindset — you're here to create a function, not join one. Strong Candidates May Also Have - Experience in financial services, healthcare/life sciences, or pharmaceutical verticals. - Background at a Forward Deployed Engineering company or professional services and consulting firms. - Exceptional understanding of LLM capabilities and limitations. - Experience with regulated industries and compliance requirements. - Experience managing delivery teams with embedded engineers at customer sites. - Familiarity with AI agent frameworks, tool use patterns, and orchestration architectures. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Director, Machine Learning Engineering - AI Founda...
The opportunity Riot is building the capabilities to carry AI and machine learning from promise, through prototype, into reliable production systems. AI Foundations helps make that possible by building shared platforms and enabling teams across Riot to deliver meaningful AI-powered outcomes. We are looking for an engineering leader to oversee the AI Foundations engineering organization. You will be accountable for the technical impact of the group including organizational health, operational excellence, software and machine learning craft quality, and engineering output. All Engineering Managers in AI Foundations will report into this role. You will partner with product and executive leaders to connect Riot’s goals to a clear charter, long-term roadmap, and investment choices. The role calls for an organization-level leader who stays technically engaged: close enough to understand the engineering realities, guide important decisions, and address risks, while creating the clarity and space for managers and teams to lead execution. Responsibilities: - Set technical strategy and direction. Work with product and engineering partners to shape AI Foundations’ charter, priorities, and long-term roadmap. Translate organizational goals into clear outcomes, make deliberate investment and trade-off decisions, and explain what the organization will and will not take on. - Lead and develop the engineering management organization. Set clear expectations, coach managers to take ownership and deliver results, uphold a consistent engineering-management and performance bar, and identify and develop future leaders. - Own the organization’s results. Be accountable for the total output and outcomes of multiple teams. Ensure teams understand their goals and value, evaluate commitments against the roadmap, make delivery and risks visible, and act quickly to unblock or accelerate work when needed. - Build the organization and its capabilities. Plan for future staffing and skills, identify gaps against the roadmap, and develop role or team proposals grounded in opportunity and cost. Partner with Talent on hiring and onboarding, make hiring decisions at the appropriate level, and drive strategic planning, forecasting, and compensation planning for the organization. - Guide technical quality and operational ownership. Stay engaged in the technical outcomes across AI/ML, software, data, and agentic systems. Build alignment on architecture and technical strategy; ensure teams deliver reliable, secure, maintainable production systems with appropriate evaluation, observability, incident response, and ownership. Make sound trade-offs across quality, reliability, latency, cost, and technical sustainability. - Improve how the organization works. Build operating mechanisms that improve efficiency, team health, and delivery transparency. Address recurring friction, misalignment, and unresolved risks directly. Ensure the organization learns from operational issues and changes course as needed. - Create leverage across Riot. Build trusted partnerships across game teams and central functions. Share reusable engineering patterns, platform capabilities, evaluation approaches, and lessons learned so AI Foundations’ work strengthens Riot’s ability to build and operate AI systems beyond any one team. - Communicate with clarity. Make decisions, trade-offs, and uncertainty legible to managers, engineers, product partners, game leaders, and executives. Surface risks early, give timely and actionable feedback, and resolve difficult conversations with candor and sound judgment. Required Qualifications: - 12+ years of industry experience in software engineering, machine learning engineering, AI, or a closely related discipline, including 8+ years of management experience. - Proven ability to coach managers, set clear expectations, manage performance, develop future leaders, and maintain a high and consistent engineering bar with accountability for organization-wide outcomes. - A strong record of building, shipping, and operating production software, AI/ML systems, or platforms that deliver measurable value to players, customers, or internal teams. - Strong technical credibility and judgment across software systems and AI/ML—sufficient to assess architecture, quality, operational health, reliability, scale, security, cost, and user impact, and to guide technical direction across teams. - Demonstrated ability to turn ambiguous product or business needs into an organization strategy, long-term roadmap, measurable outcomes, and clear priorities; make trade-offs based on mission, capacity, and impact; and maintain alignment as plans change. - Experience shaping organizational capacity and capabilities, including identifying skills gaps, planning staffing, and making sound hiring and investment decisions. - Demonstrated ability to build trust and influence across organizational boundaries, including with product, game, platform, data, research, and executive partners. - Excellent written and verbal communication, with a bias toward clarity, explicit ownership, timely feedback, and candid discussion of uncertainty. - Sound judgment around responsible AI and production risk, including privacy, security, safety, and the operational consequences of deploying AI-enabled systems. - Experience in live-service games, interactive entertainment, consumer products, or other high-scale, real-time environments. - Experience with one or more areas such as generative AI, LLM applications, agentic systems, personalization, recommendations, ranking, player modeling, game AI, reinforcement learning, computer vision, or multimodal systems. - Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field; or equivalent practical experience. Desired Qualifications: - Experience partnering across data engineering and platform teams on model development and operations, including data and feature pipelines, inference services, orchestration, model registries, evaluation, or ML observability. - Experience building AI/ML products, shared platforms, developer tools, or technical capabilities used by multiple product groups. - Graduate degree in Computer Science, Engineering, Machine Learning, or a related field. For this role, you'll find success through craft expertise and a collaborative spirit that prioritizes the delight of players. We will look at your past studies and experience, but for this role, we also look for dedicated people with a personal relationship with games. If you embody player empathy and care about p layers' experiences, this is the role for you! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Senior Product Manager, Agentic Search
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Locations: Austin, Lisbon, San Francisco, NYC, or London About the Role Search is being rebuilt around AI. People increasingly get answers from AI instead of a list of links, agents run dozens of searches to answer a single question, and more than half of the traffic reaching sites on Cloudflare is now automated . Search is shifting from a destination to a utility, and Cloudflare is building the search layer for this agentic Internet. Agentic Search at Cloudflare gives agents everything they need to find information, whether it lives in a customer’s own data or on the open web. It spans two products: AI Search for internal data, and Web Search API for the open web. AI Search (internal data), now generally available , is the search primitive for applications and agents . It is a fully managed indexing and retrieval pipeline built on Workers AI , Vectorize , R2 , and Browser Run . Developers connect a website or R2 bucket, or upload their own files, and query them with natural language through a Workers binding, REST API, or MCP server. Under the hood: continuous indexing, hybrid vector and keyword retrieval, reranking, metadata filtering, native multimodal (image) embeddings, and OCR for scanned documents. We use it to power search on our own blog and developer docs. Web Search API (external data), now in open beta , gives agents real-time web context with a single API call. It runs on AI Gateway , so every search gets the same logging, analytics, billing, and access controls as model inference. Developers can choose from multiple search providers and always get results back in one normalized format. Your mission in this role is to make Cloudflare the default place developers and agents go to search, across both their own data and the open web, and eventually in a single call. You’ll also help build a search ecosystem that works for AI companies, site owners, and creators alike. What You’ll Do - Talk directly with developers, AI companies, publishers, and customers every day. - Own the strategy, roadmap, and execution for Agentic Search (AI Search and Web Search API), from ingestion and indexing through retrieval, ranking, and answer generation. - Define and measure what “good search” means, including relevance, freshness, latency, and cost, and build the evals that improve it with every release. - Scale AI Search for the workloads that matter most, like multi-tenant platforms, enterprise agents, and website search, with support for billions of documents, rich media, and built-in observability. - Take Web Search API and shape what comes next: provider partnerships, search and page extraction in one call, blending web and private data, - Own pricing and packaging, and make our products first-class for agents through MCP, agent-friendly APIs, and templates like NLWeb . - Partner with engineering, ML, and product teams across Workers AI , Vectorize , AI Gateway , Browser Run , and AI Crawl Control , as well as Marketing, DevRel, BD, Sales, and Support. - Represent Cloudflare at conferences, community events, and customer and partner meetings. Examples of Desirable Skills, Knowledge, and Experience - Proven experience as a PM, EM, or founder shipping search, information retrieval, data infrastructure, or developer platform products. You’ve led teams to ship before and can point to impact. - Deep understanding of how search works end to end: crawling, indexing, chunking, embeddings, hybrid retrieval (BM25 + vector), query rewriting, reranking, and retrieval-augmented generation (RAG). You understand the tradeoffs between relevance, freshness, latency, and cost. - Experience defining and measuring search quality, including offline evals, relevance judgments, metrics like recall, MRR, and NDCG, and online experimentation. - Fluency in the modern AI ecosystem: LLMs, text and multimodal embedding models, agents, tool calling, and MCP. You’ve built with them yourself and know where they break. - Hands-on ability to write code and use AI and the Internet to learn new things fast. You’ve built a RAG pipeline or an agent that searches the web, and you have opinions about what made it good or bad. - Deep empathy for developers and understanding of their workflows, pain points, and how they adopt new tools and platforms. - Understanding of the web publishing ecosystem: crawlers, bots, SEO and answer engine optimization (AEO), and the changing economics of AI search for content creators. Comfortable working where technology, business, and policy meet. - Experience with usage-based pricing, two-sided marketplaces, or partner and business development relationships, including build-vs-partner decisions, is a plus. - Exceptional communication and collaboration skills. You can translate between ML research, infrastructure engineering, and business stakeholders, and align diverse teams on goals. - Passion for design details and polish. You raise the bar for sweating the details. - External presentation skills. You can walk into a room of developers or AI company leaders and build trust and credibility. Compensation Compensation may be adjusted depending on work location. - For Seattle/NYC/California based hires - Estimated annual salary of: $172,000 - $215,000 - For SF/Bay Area based hires - Estimated annual salary of: $179,000 - $224,000 - For Lisbon based hires - Estimated annual salary of: €68,000 - €85,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Senior AI Research Engineer - GPU Systems & Kernel...
As a Research Engineer on the Frontier Foundations team, you will partner with Research Scientists to make large-scale model training and inference as fast and efficient as the hardware allows. You will work at the lowest level of our stack, writing and tuning GPU kernels and removing the memory and communication bottlenecks that limit large Mixture-of-Experts models on the latest GPUs. Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model Toto), Datadog AI Research (DAIR) tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. Frontier Foundations builds and maintains the high-performance infrastructure that lets us train and serve large language models at scale. It supports both of our research areas: Trained Agents for Observability - Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: - Write, tune, and debug GPU kernels (CUDA, Triton, or similar) for the operations that dominate LLM training and inference. - Optimize for the latest NVIDIA GPU generations, including memory hierarchy, tensor cores, and low-precision formats such as FP8 and FP4 - Reduce communication cost in distributed workloads (all-to-all, all-reduce) and overlap communication with compute across NVLink and across nodes - Profile end-to-end training and rollout workloads to identify whether they are compute-, memory-, or communication-bound, and quantify the headroom - Build benchmarks, profiling tools, and regression tests that guide optimization decisions - Collaborate with Research Scientists to turn new model architectures into efficient implementations - Explore emerging techniques such as low-precision training and serving, speculative decoding, and fused or persistent kernels Who You Are: - You have depth in at least one of: GPU kernel development and optimization (CUDA or similar), low-latency communication and collective operations (e.g., RDMA, NCCL), or large-scale training infrastructure - You can reason about hardware constraints (memory, bandwidth, interconnect topology) and explain where a bottleneck is and how you would confirm it - You are proficient in a systems language (e.g., C++, Rust, or CUDA C) and in Python - You have strong debugging and profiling skills, including tools such as Nsight - You can explain design and performance trade-offs clearly to both technical and non-technical audiences Bonus Points (any of the following): - You have experience with Mixture-of-Experts models, expert parallelism, or sparse model inference - You are familiar with GPU communication libraries such as NCCL or NVSHMEM, and with compute/communication overlap - You have experience with Triton, CUTLASS, or similar kernel frameworks - You are familiar with distributed training frameworks such as Megatron-LM, TorchTitan, or DeepSpeed - You have built GPU-intensive systems in graphics, rendering, simulation, or scientific computing - You have contributed to open-source ML or systems infrastructure projects Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
Senior AI Research Engineer - LLM Training & Infer...
As a Research Engineer on the Frontier Foundations team, you will partner with Research Scientists to build the systems that run large-scale LLM training, reinforcement learning, and inference at Datadog. You will build and operate an in-house distributed runtime that schedules work across large GPU clusters, and you will own how quickly researchers can iterate and how reliably long training runs complete. Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model Toto), Datadog AI Research (DAIR) tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. The Frontier Foundations team builds and maintains the high-performance infrastructure that lets us train and serve large language models at scale. It supports both of our research areas: Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: - Design, build, and operate distributed training and inference infrastructure for large language models, including Mixture-of-Experts models - Scale training with parallelism strategies (data, tensor, pipeline, and expert), memory optimization, checkpointing, and failure recovery - Build inference and rollout systems that support evaluation, experimentation, and RL without slowing down training - Build execution environments and sandboxes for online RL and agent post-training - Own continuous performance validation: regular benchmarks of rollout speed, training throughput, and learning behavior, with dashboards that make regressions visible - Improve the researcher experience: job submission, scheduling, quotas, GPU utilization, and observability - Work with platform teams on cluster capacity, networking, and scheduling across GPU providers - Investigate performance and reliability problems across hardware, software, and distributed systems Who You Are: - You have depth in distributed systems and ML infrastructure for training and inference at scale; experience with Ray, Kubernetes, Slurm, or similar frameworks is a plus - You are proficient in Python and in at least one systems language (e.g., Rust, C++, or Go) ● You have experience operating large-scale training or serving infrastructure, or schedulers and orchestration systems for GPU or other high-performance workloads - You understand what limits throughput/latency in distributed inference workloads: communication, memory, scheduling, and stragglers - You have strong debugging, profiling, and incident-diagnosis skills, ideally including on-call experience - You can explain design and performance trade-offs clearly to both technical and non-technical audiences - Prior experience training machine learning models is valuable but not essential for engineers with strong distributed systems or HPC backgrounds Bonus Points (any of the following): - You are familiar with distributed training frameworks such as Megatron-LM, TorchTitan, or DeepSpeed - You have experience with LLM inference engines such as vLLM or SGLang, including batching and KV-cache management - You have experience with RL training systems and rollout infrastructure - You have experience with collective communication (NCCL), RDMA, or low-latency networking - You have experience with GPU benchmarking, profiling, and cluster performance monitoring - You have experience building sandboxed code execution or large-scale evaluation infrastructure - You have contributed to open-source ML or distributed systems projects Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - Competitive global benefits - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris - Opportunity to attend and present at conferences and meetups - Intra-departmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) - Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunities to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines. LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
AI Programmer Intern
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ENGINEERING - UNREAL ENGINE What We Do Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of engineering experts are always innovating to improve the tools and technology that empower content developers worldwide. AI PROGRAMMER INTERN What You'll Do The Epic Games UE Al team is looking for a Research Engineering Intern who is excited about machine learning and artificial intelligence. Epic Games creates and deploys advanced computer vision, computer graphics and machine learning technologies to transform the production and consumption of digital media. This includes physics-based simulation, ML-based character animation, neural and inverse rendering, and automated generative animation techniques, among others. At Epic we research, develop and deploy these technologies for Unreal Engine and other Epic products. In this role, you will - Assist with prototyping machine learning and generative approaches for game content creation as part of a defined project with guidance from a mentor - Support experiments by preparing data, running tests, collecting results, and helping document observations - Assist with implementing and testing research concepts using Python and relevant machine learning tools - Read and discuss research papers with team members to develop familiarity with current approaches and techniques - Work with your mentor and immediate team to support ongoing research and development projects - Communicate progress, ask questions, and incorporate feedback while working through assigned tasks - Share your work and key learnings through regular updates and a final presentation to the team What we're looking for - Currently enrolled in an undergraduate (Bachelor's) or Master's degree program in Computer Science, Machine Learning, Mathematics, Engineering, or a related discipline - Foundational programming skills in Python, with C++ experience considered a plus - Introductory experience with a machine learning framework such as PyTorch or TensorFlow through coursework, academic projects, or personal projects - Foundational understanding of machine learning concepts and an interest in exploring their practical applications - Strong analytical and problem-solving skills, with an eagerness to learn new tools, techniques, and technologies - Knowledge of, or strong interest in, one or more of the following areas: real-time graphics, computer vision, machine learning, animation, large language models, speech recognition, speech synthesis, linguistics, performance capture, or 3D reconstruction - Exposure to academic research, relevant coursework, personal projects, or open-source contributions in machine learning, computer vision, computer graphics, or related technical areas - Familiarity with Unreal Engine or another game engine is a plus - Interest in games, digital humans, or real-time content creation - Ability to communicate progress, ask questions, collaborate with others, and incorporate feedback This internship has a flexible start date in 2027. Recruitment will be ongoing until teams find an ideal match. Applicants must be legally authorized to work in the posting location for the duration of the internship. For more information about Epic’s Early Career Program, visit epicgames.com/earlycareers . This is going to be Epic! ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .
Staff Software Engineer, AI Developer Productivity
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” Learn more about working at Coinbase . As a founding Staff Software Engineer on the AI Developer Productivity within the Institutional Product Group, you'll build and roll out agentic AI workflows that transform how Institutional engineers write, review, and ship code. This team is aligned with Coinbase's AI developer tooling vision but dedicated to the unique needs of Institutional's trading, custody, and financial infrastructure systems. You'll own the design and delivery of AI-powered capabilities that drive continuous code improvement, accelerate development cycles, and raise the quality bar across one of Coinbase's most critical product groups. What you’ll do: - Own the architecture and delivery of agentic AI workflows for continuous code improvement, including automated refactoring, test generation, and proactive bug detection tailored to Institutional systems - Build developer productivity tooling that integrates LLM-powered agents into the Institutional engineering workflow, from code review through deployment - Partner with Platform's AI and DevX teams to align on shared infrastructure while customizing capabilities for Institutional's unique reliability, security, and regulatory requirements - Drive adoption of AI-assisted development practices across Institutional engineering, measuring impact on velocity, code quality, and developer satisfaction - Shape technical standards and best practices for human-AI collaborative development within the Institutional org, ensuring safe and governed use of AI agents in high-stakes financial systems Required skills and experience: - 8+ years of software engineering experience with at least 2 years building AI/LLM-powered developer tools, agentic workflows, or code automation systems - Proven track record of designing and shipping production-grade systems that integrate LLMs or AI agents into software development lifecycles (e.g., code generation, automated review, CI/CD automation) - Deep fluency in Java, Python, Go, or similar backend languages, with hands-on experience building and orchestrating AI agent frameworks (e.g., LangChain, LangGraph, or custom agent architectures) - Demonstrated ability to partner cross-functionally with platform, infrastructure, and product teams to deliver tooling adopted by hundreds of engineers - Familiarity with financial systems, high-reliability engineering, or regulated environments where correctness, auditability, and security are non-negotiable - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Position ID: P78763 LI-Remote Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $218,025 - $256,500 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Field CTO, Southern Europe
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The role The Field CTO role is one of Mistral's senior external technical voices; a role for someone who has earned genuine credibility in the AI field and can engage enterprise boards, CIOs, and CTOs as a peer. You will shape how strategic accounts think about their AI strategy, represent Mistral at major industry events, and publish thought leadership that reflects a real point of view on where AI is going. You will work closely with regional sales leadership across your territory and bring what you learn from executive conversations back into Mistral's product direction. This is an externally-facing, influence-driven role. The output is measured in relationships built, content published, and executive conversations that move. What You Will Do Executive engagement Run Mistral's Executive Briefing Center with your regional VP; a selective program for C-level stakeholders at strategic accounts. Build and sustain trusted-advisor relationships with CIOs, CTOs, CDOs, and VP Engineering across your territory. Thought leadership Publish regularly: articles, whitepapers, and analysis of where enterprise AI is heading. Brief Gartner and Forrester on Mistral's roadmap and market position. Track frontier research and bring it into customer conversations. Conference and event presence Represent Mistral at major industry events through keynotes, panels, and roundtables. Build a public presence that generates inbound interest from enterprise executives and the wider AI community. Market feedback Bring what you hear in executive conversations back into product direction. Patterns across accounts on governance requirements and deployment constraints should reach the people building the models. What We're Looking For - Demonstrable credibility in the AI field. A public track record in AI: published papers, articles, or talks that reflect a clear, defensible position. Your work should read as credible next to Mistral's technical brand. - A stated position on open-weight models and what they change for the enterprises adopting them. Your existing public positions should sit comfortable next to Mistral's. - You are fluent in European data sovereignty and on-premise deployment, at the level that holds up with a CTO or VP Engineering asking hard questions. - You are comfortable engaging C-level stakeholders across multiple verticals on technical architecture and business strategy, in the same conversation. - Cross-vertical fluency, you can credibly engage across financial services, manufacturing, defense, and energy without being a domain specialist in any one of them. - 10–25 years of experience in enterprise technology. You have held roles such as: Field CTO, Principal Architect, or VP Engineering at a major cloud or AI company, or a founder who built technical credibility and executive relationships through their own company. - Comfortable with 30-50% travel depending on your region. Nice to have - Existing network of CTO and CIO relationships at enterprise accounts in your region - Prior Field CTO or equivalent externally facing technical role at a major cloud or AI company - Fluent in multiple languages spoken across your region What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
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