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Product Counsel
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Legal team We're building the infrastructure that democratizes access to intelligence. By serving state-of-the-art models to enterprises and advancing open source, we enable organizations to truly own their own intelligence. Our legal team exists to make that mission possible, responsibly and at scale, because we believe broad access to AI is one of the most consequential things we can build for society. Our legal team is defined by high integrity, high character, and high trust. We're low-ego, collaborative, kind, and supportive people who are genuinely excited to be part of a team. We win together or not at all. About the role As Product Counsel, you'll be an early, versatile member of our founding legal team, counseling across a broad range of functions as the business grows. This is a generalist role with real breadth. You'll support security, compliance, and go-to-market needs, handle customer-facing legal matters, and help lay the foundation for a larger counseling team over time. It's a role for someone who's energized by range, comfortable with ambiguity, and excited to build durable infrastructure rather than inherit it. This role initially reports to the General Counsel. What you'll do. - Advise and support our security team on legal matters. - Handle customer notifications and related customer-facing legal communications. - Support compliance efforts across the organization. - Provide generalist counseling across functions as needs arise, including support for Product, Security, Privacy, and other teams. - Help build the foundational processes, templates, and infrastructure for a scaling product counseling function. What we're looking for. - 9+ years of relevant in-house or law firm experience. - A JD and membership in at least one US state bar. - Breadth across privacy, security, compliance, and product counseling. - Comfort operating as a generalist and flexing across whatever lands on legal's desk. - Prior experience working in a hyperscaling, fast moving environment. - A builder's mindset suited to an early-stage, foundational role. - Strong judgment and the ability to work independently in ambiguity. - AI-forward, builder’s mindset, with a demonstrated ability to use AI tools to streamline daily workflows and accelerate efficiency. Why Fireworks? - Solve Hard Problems: Tackle cutting-edge legal challenges at the forefront of AI infrastructure. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class teams who thrive on curiosity and innovation. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, market data, and work location. Fireworks AI is an equal-opportunity employer. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Employment Counsel
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Legal team We're building the infrastructure that democratizes access to intelligence. By serving state-of-the-art models to enterprises and advancing open source, we enable organizations to truly own their own intelligence. Our legal team exists to make that mission possible, responsibly and at scale, because we believe broad access to AI is one of the most consequential things we can build for society. Our legal team is defined by high integrity, high character, and high trust. We're low-ego, collaborative, kind, and supportive people who are genuinely excited to be part of a team. We win together or not at all. About the role As Employment Counsel, you'll be a foundational member of our growing legal team, owning the employment and labor matters that come with building and scaling a fast-growing company. You'll join at a pivotal moment as we rapidly scale our team and serve as the go-to legal partner for our People and HR organization. This is a build-from-the-ground-up role for someone who's navigated hypergrowth before and knows how to keep a scaling workforce both well-supported and well-protected. This role reports to the General Counsel. What you'll do. - Advise on the full range of employment and labor matters: hiring, terminations, classifications, leaves, accommodations, investigations, and policy. - Partner closely with HR and People Operations as a trusted, day-to-day legal advisor. - Counsel on employee equity and compensation considerations. - Build scalable employment policies, templates, and processes suited to a rapidly growing, multi-state workforce. - Support international expansion and advise on cross-border employment and global labor law compliance as we grow our footprint beyond the US. - Manage employment-related disputes and coordinate specialist outside counsel where needed. - Keep us ahead of the compliance obligations that come with fast headcount growth. What we're looking for. - 9+ years of in-house employment and labor law experience. - A JD and membership in at least one US state bar. - Prior startup experience, ideally in a hypergrowth environment. - A track record of close collaboration and strong partnership with HR and People Operations teams. - Familiarity with employee equity and compensation considerations. - Experience supporting international expansion and navigating global employment laws. - A pragmatic, build-from-scratch mindset and the judgment to balance risk with business velocity. - AI-forward, builder’s mindset, with a demonstrated ability to use AI tools to streamline daily workflows and accelerate efficiency. Why Fireworks? - Solve Hard Problems: Tackle cutting-edge legal challenges at the forefront of AI infrastructure. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class teams who thrive on curiosity and innovation. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, market data, and work location. Fireworks AI is an equal-opportunity employer. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Contracts Manager
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Legal team We're building the infrastructure that democratizes access to intelligence. By serving state-of-the-art models to enterprises and advancing open source, we enable organizations to truly own their own intelligence. Our legal team exists to make that mission possible, responsibly and at scale, because we believe broad access to AI is one of the most consequential things we can build for society. Our legal team is defined by high integrity, high character, and high trust. We're low-ego, collaborative, kind, and supportive people who are genuinely excited to be part of a team. We win together or not at all. About the role As Contracts Manager, you'll be a foundational member of our growing legal team, owning the high-volume contracting that keeps the business moving. You'll draft, review, and negotiate the standard agreements that underpin our commercial and operational activity and operate with significant independence and judgment. This role initially reports to the General Counsel. What you'll do. - Draft, review, and negotiate a broad range of commercial agreements supporting Fireworks’ customer and procurement relationships. - Build and maintain scalable contracting and compliance frameworks to enable a growing legal team to keep pace with the business. - Partner closely with legal, finance, and business teams to drive agreements from request to signature. - Manage multiple contract workstreams in parallel under fast timelines while maintaining high quality. Minimum Qualifications - 10+ years managing commercial contracts in-house, at a law firm, or in a contracts or procurement function. - Strong hands-on drafting and redlining across a broad range of standard commercial contracts and ability to carry negotiations independently. - Exceptional organization, attention to detail, and the ability to manage high volume without dropping quality. - Demonstrated ownership of a contract lifecycle end to end, including post-signature obligation management - AI-forward, builder’s mindset, with a demonstrated ability to use AI tools to streamline daily workflows and accelerate efficiency. Why Fireworks? - Solve Hard Problems: Tackle cutting-edge legal challenges at the forefront of AI infrastructure. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class teams who thrive on curiosity and innovation. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Fireworks AI is an equal-opportunity employer. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Commercial Counsel
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Legal team We're building the infrastructure that democratizes access to intelligence. By serving state-of-the-art models to enterprises and advancing open source, we enable organizations to truly own their own intelligence. Our legal team exists to make that mission possible, responsibly and at scale, because we believe broad access to AI is one of the most consequential things we can build for society. Our legal team is defined by high integrity, high character, and high trust. We're low-ego, collaborative, kind, and supportive people who are genuinely excited to be part of a team. We win together or not at all. About the role As Commercial Counsel, you'll be a foundational member of a growing legal team, serving as a trusted partner to our go-to-market organization as it scales rapidly. You'll own commercial contracting across the deal lifecycle — drafting, negotiating, and closing customer agreements — and show up confidently and credibly across the table with our customers and partners. Beyond core sales support, you'll also counsel our marketing team on sponsorship and partnership agreements, and handle standard vendor and procurement matters. This role initially reports to the General Counsel. What you'll do. - Serve as lead commercial counsel on customer contracts, NDAs, and related agreements supporting the sales organization. - Partner strategically with sales teams to structure deals, manage risk, and keep deals moving without sacrificing sound judgment. - Advise marketing on sponsorship agreements and go-to-market campaigns. - Handle standard vendor and procurement agreements. - Help build the scalable templates, playbooks, and processes a founding legal function needs. Minimum Qualifications - 9+ years of relevant experience, with a mix of law firm and in-house ideal. Experience in hypergrowth environments preferred. - A JD and membership in at least one US state bar. - Strong command of commercial contracting, able to operate independently and show up confidently in negotiations. - Comfort supporting a fast-moving, rapidly maturing sales organization, and translating legal complexity into practical guidance. - Fastidious attention to detail, excellent organizational skills, and energized by standing up process rather than inheriting it. - AI-forward, builder’s mindset, with a demonstrated ability to use AI tools to streamline daily workflows and accelerate efficiency. Why Fireworks? - Solve Hard Problems: Tackle cutting-edge legal challenges at the forefront of AI infrastructure. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class teams who thrive on curiosity and innovation. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, market data, and work location. Fireworks AI is an equal-opportunity employer. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Technical Program Manager, Corporate Engineering
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 Technical Program Manager for Corporate Engineering, you will lead programs that build world-class business solutions enabling every Ant to do their best work. In partnership with Anthropic's IT & Security organization, you will drive end-to-end solutions across the company, delivering the right products, tools, platforms, and experiences for all Ants as they work to create a world for safe and powerful AI. In the simplest terms, you build and drive solutions to enable all of Anthropic to be more productive. You will use your technical and program management expertise to lead complex, multi-disciplinary programs from start to finish. You will work with stakeholders to plan requirements, identify risks, lead execution, and communicate clearly with cross-functional partners across the company. You are equally comfortable explaining your team's analyses and recommendations to leadership as you are discussing the technical tradeoffs in product development with engineers. This role owns the full spectrum of Corporate Engineering programs: the IT systems Ants depend on daily, first-party and third-party software platforms, endpoint devices, office infrastructure, AV and collaboration equipment, network infrastructure, and the programs that scale our physical office footprint as Anthropic grows. Responsibilities - Partner across Corporate Engineering domains to drive alignment and delivery : Work with globally distributed product, engineering, and architecture teams to foster collaboration, help teams adopt enterprise standards, and enable faster delivery with consistent practices across the organization - Define and maintain core architectural foundations : Assist in establishing and maintaining the architectural standards that underpin Corporate Engineering systems, ensuring scalability, reliability, and security as Anthropic grows - Lead office deployment and scaling programs : Own end-to-end planning and execution for new office buildouts and expansions, coordinating across IT, Facilities, Security, and external vendors to deliver fully operational workspaces on schedule - Own internal systems and infrastructure programs : Drive programs for all internal systems and hardware deployed in Anthropic buildings, including network infrastructure, AV equipment, printing and collaboration hardware, and building technology integrations - Lead endpoint and device management programs : Own global programs for corporate laptops, mobile devices, and endpoint management, ensuring Ants have secure, well-managed devices that enable productivity from day one - Drive IT Operations excellence : Lead programs that improve IT service delivery, support operations, and the overall Ant experience with technology, driving continuous improvement in reliability and responsiveness - Manage enterprise software and platform programs : Lead programs for the 1P and 3P software platforms Ants depend on, including HR systems, productivity tools, and business applications, from evaluation through deployment and ongoing optimization - Collaborate with cross-functional stakeholders : Work closely with Security, Facilities, People, Finance, and functional teams across Anthropic to ensure Corporate Engineering programs meet diverse organizational needs - Communicate effectively at all levels : Comfortable communicating across all levels of Anthropic from presenting analyses, recommendations, and program status to leadership, engaging deeply on technical tradeoffs with engineering teams, and communicating broadly to the entire company You May Be a Good Fit If You Have - 8+ years of experience in IT, Corporate Engineering, or Enterprise Technology, with at least 4+ years leading complex, cross-functional programs - Technical background in enterprise IT systems, including endpoint management, identity and access management, network infrastructure, and SaaS platforms - Experience leading office buildout or infrastructure deployment programs, coordinating across IT, Facilities, and external vendors - Proven experience as a Technical Program Manager or similar role in a technology-focused environment, with a track record of leading company-wide programs to successful completion - Strong communication skills with the ability to translate technical concepts for executive audiences and engage credibly with engineers on technical details - Ability to manage ambiguity and drive clarity in fast-paced, evolving environments where requirements and priorities shift - Strong collaboration skills with proven ability to partner across diverse stakeholders including IT, Security, Facilities, People, Finance, and functional teams Strong Candidates May Also Have - Experience scaling IT infrastructure in high-growth technology companies - Background in IT service management (ITSM) frameworks and continuous improvement methodologies - Experience with enterprise software evaluation, procurement, and vendor management - Familiarity with modern endpoint management platforms and zero-trust security architectures - Experience with AV systems, video conferencing infrastructure, and collaboration technology deployments - Prior technical experience as an IT engineer, systems administrator, or network engineer - Experience with IT programs in AI/ML research environments or organizations with unique security and compliance requirements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Legal Operations Specialist
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Legal team We're building the infrastructure that democratizes access to intelligence. By serving state-of-the-art models to enterprises and advancing open source, we enable organizations to truly own their own intelligence. Our legal team exists to make that mission possible, responsibly and at scale, because we believe broad access to AI is one of the most consequential things we can build for society. Our legal team is defined by high integrity, high character, and high trust. We're low-ego, collaborative, kind, and supportive people who are genuinely excited to be part of a team. We win together or not at all. About the role As our Legal Operations Specialist, you'll build the systems and infrastructure that let a founding legal team scale. You'll own the evaluation and implementation of our legal tech stack, stand up our contract lifecycle management system, and serve as the connective tissue between legal and the cross-functional partners who depend on clean contract data. This is a build-from-the-ground-up role for someone energized by turning a scrappy legal function into a well-instrumented one. This role initially reports to the General Counsel. What you'll do. - Evaluate and manage legal tech vendors and service providers. - Lead implementation and administration of our contract lifecycle management system. - Partner with sales, finance, revenue operations, and other stakeholders to ensure our systems deliver the reporting, visibility, and deal insight they need. - Build and own renewal and contract obligation tracking and related workflows. - Develop the processes, metrics, and infrastructure a scaling legal function depends on. What we're looking for. - 10+ years of relevant legal operations experience. - Hands-on experience implementing or administering contract lifecycle management, discovery management, legal billing, and other systems necessary to enable a fast moving legal function. - Familiarity integrating legal systems with Salesforce. - Strong cross-functional collaboration skills, particularly with finance and revenue operations. - A systems thinker with a bias to action, comfortable building infrastructure from scratch. - AI-forward, builder’s mindset, with a demonstrated ability to use AI tools to streamline daily workflows and accelerate efficiency. Why Fireworks? - Solve Hard Problems: Tackle cutting-edge legal challenges at the forefront of AI infrastructure. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class teams who thrive on curiosity and innovation. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, market data, and work location. Fireworks AI is an equal-opportunity employer. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
GTM Enablement Program Manager, Systems & Product
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 LangChain is looking for a GTM Enablement Program Manager to help keep our growing go-to-market organization informed, enabled, and ready to execute as our products and company evolve. We operate in one of the fastest-moving areas of technology. Our products evolve quickly, new capabilities launch frequently, and the knowledge our GTM teams rely on is constantly changing. As we scale, we need a strong operating system that ensures sellers understand what we're building, why it matters, how to talk about it, and where to find the information they need. This role will own three critical areas of our enablement engine: Product Enablement, GTM Knowledge & Content, and Enablement Communications. You'll partner closely with Product, Engineering, Product Marketing, Sales, and Revenue Operations to turn product changes and company knowledge into scalable training, resources, communications, and systems for GTM. Working with cross funtional subject matter experts, yo ur job is to turn messaging, trainings, and artifacts into field readiness—making sure GTM can learn it, find it, understand it, and use it. What You'll Do Own Product Enablement - Own the product enablement engine. Stay closely connected to Product, Engineering, and Product Marketing to understand what's changing, determine the impact to GTM, and partner with these SMEs to build practical field enablement. - Own GTM readiness for product launches and major changes. Build the enablement plan from initial intake through launch, including training, communications, resource publication, reinforcement, and ongoing maintenance. - Build and maintain product training. Create and continuously improve product curriculum in our LMS and Content Hub so sellers have a clear learning path across our platform, products, use cases, positioning, and value. - Run live product enablement. Determine when asynchronous learning isn't enough, coordinate the right SMEs, and facilitate live sessions, workshops, demos, and deeper product training. - Measure readiness and close gaps. Use feedback, participation, knowledge checks, field questions, and other signals to understand where GTM needs additional reinforcement. Own GTM Knowledge & Content - Own the GTM knowledge system. Make it easy for sellers to quickly find accurate, relevant, and current information across our Content Hub, LMS, and other GTM systems. - Build scalable information architecture and governance. Establish clear taxonomy, templates, ownership, review cadences, freshness standards, and archival processes that keep GTM knowledge organized and current. - Manage the content lifecycle. Ensure training, product resources, competitive guidance, FAQs, recordings, and other enablement materials stay current as the business changes—and remove or archive information that is no longer relevant. - Operationalize canonical GTM content. Partner with Product Marketing and other subject matter experts to ensure approved messaging, competitive guidance, objection handling, and other core GTM knowledge is consistently structured, maintained, and accessible. - Build for humans and AI. Structure GTM knowledge so both sellers and AI-powered tools can reliably retrieve and use accurate context. Explore ways AI can improve content discovery, maintenance, gap detection, and enablement workflows. Own Enablement Communications & Cadence - Own the GTM enablement communications engine. Manage Weekly Trace and other recurring enablement communications, consolidating product, program, and company updates into clear guidance for the field: What changed? Why does it matter? Where can I learn more? What do I need to do? - Run our recurring enablement cadence. Own the operational execution behind weekly enablement, including the calendar, SME coordination, materials, recordings, recaps, and follow-through. - Create signal from noise. Build predictable ways for GTM to stay current without requiring sellers to monitor dozens of Slack channels, documents, and product updates. - Improve the enablement operating system. Identify breakdowns in how information moves from Product, Engineering, Product Marketing, and other teams into GTM—and build scalable systems rather than continually working around them. What We're Looking For - 4+ years of experience in GTM enablement, product enablement, sales enablement, enablement operations, or a related role in a B2B technology company. - Experience owning product enablement programs, including product launches, training, ongoing curriculum, and field communications. - Experience building or managing product training for Sales or broader GTM audiences. - Strong technical curiosity. You don't need to be an engineer, but you should want to understand technical products deeply enough to explain them clearly and accurately. - Ability to translate complex product information into practical seller guidance: what it is, why it matters, who it's for, how to position it, and when to use it. - Experience organizing and maintaining a GTM knowledge or content system—not just creating individual pieces of content. - Strong understanding of content governance, information architecture, taxonomy, and knowledge lifecycle management. - Strong written communication skills and the ability to turn a large volume of information into clear, concise, actionable guidance. - Strong program management skills. You can manage multiple workstreams, SMEs, launches, deadlines, and recurring programs without losing the details. - High ownership and follow-through. You don't wait for someone to tell you that a launch isn't ready, information is outdated, or a process is broken—you proactively drive it to resolution. - A builder mentality. You're comfortable starting with an imperfect system, creating a V1, learning from users, and continuously improving it. - Experience working cross-functionally with Product, Engineering, Product Marketing, Sales, and Revenue Operations. - AI fluency and curiosity about how structured knowledge can power agents, search, content generation, and internal GTM workflows. - Experience with knowledge-management platforms such as Notion and learning-management systems such as WorkRamp is a plus. - Familiarity with developer tools, AI/ML infrastructure, LLM applications, or agentic AI is a plus. Compensation: $150,000-180,000 base salary + options Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Finance Data Annotation Quality Analyst
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We’re seeking highly motivated Data Quality Analysts with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation. This is a hybrid quality reviewing and tooling role: - you'll spend the majority of your time reviewing and auditing Finance (any subdomain) annotations against rubrics to ensure data used for training and evaluating AI models meets the highest standards of quality and efficiency. - and the remainder building, maintaining, and troubleshooting annotation operations. You'll collaborate closely with the annotators, technical program manager, and science stakeholders, and contribute to refining the guidelines and processes that shape how our data is produced. Key Responsibilities - In collaboration with the technical team, review/audit annotations, clarify requirements, share insights, surface systemic issues, edge cases, and gaps in guidelines, to improve annotation processes and guidelines. - Generate and validate high-quality finance-oriented data annotations yourself when needed, based on guidelines and continuous feedback, for the development and evaluation of AI models - Build and maintain internal tools and automation that streamline annotation or review workflows such as visualization dashboards, batch configuration scripts, output management utilities, and similar - Troubleshoot campaign issues (e.g. tooling, guidelines) for annotators - Organise annotator training and coordinate feedback between annotators and reviewers. About you - A degree (minimum Masters level) in a Finance discipline. - At least 3 years of professional experience in the Financial domain. - Outstanding analytical and research skills - Some familiarity with programming languages, with the ability to read standard output formats such as .jsonl files. - Exercises great judgement with complex instructions, limited data, and/or multiple information sources and ability to surface edge cases, ambiguities, or gaps in guidelines accordingly. - Excellent communication, interpersonal, and organisational abilities - Adapts easily to dynamic environments and changing requirements - Appetite for operational work and high tolerance for repetitive tasks with a sustained focus and accuracy on detail-oriented, high-volume review work. - Professional proficiency in English, with strong writing and comprehension skills Nice to have - Familiarity with rubric-based evaluation concepts, inter-annotator agreement, or quality measurement for human-labeled data - Experience building an annotation team through interviews and training - Proficient in at least one programming language (e.g. Python) - Prior experience in data annotation for AI/ML, especially LLM training (SFT, RLHF, preference data), evals/benchmarks, or agentic data - Comfortable working in a Unix-like terminal and using git workflows (branches, merges, resolving conflicts) 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 .
Principal Product Manager
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. We are looking for a technical product manager to own SambaNova's model and capability roadmap end to end. You will be the product owner and the subject-matter expert on models: you understand why a model matters (architecture, benchmarks, adoption, customer pull) and what it takes to ship it well (function calling, structured output, reasoning, long context, caching, speculative decoding and more). Most importantly, you turn that understanding into decisions, commitments and launches. This is a product role for someone deeply technical, not an engineering role with product tasks attached, but you will stay hands-on: testing new models yourself, finding where they shine and where they break, and building quick mock-ups that show the competitive edge fast inference unlocks. Responsibilities Own and drive the roadmap - Model Stack Rank: Own the unified, weighted stack rank of candidate models across customer demand, capability, market adoption, recency, strategic value and engineering effort. Tune the rubric, make and document overrides, and run the regular prioritization review - Per-Chip Roadmap: Own the plan of models × hardware generation × configuration × performance targets, and keep it grounded in measured platform data rather than estimates - Commitments and Launches: Turn priorities into dated commitments with engineering, track them to delivery and run model launches with Marketing, Docs and GTM - Roadmap Communication: Keep the model roadmap and dashboard current as the source of truth for execs, account teams and customers, and present it with confidence both internally and externally Define the capability bar - Feature-Completeness Framework: Own the definition of a “fully featured” model across speed, efficiency, model infrastructure, cloud and API features, for example tool calling, JSON schema and constrained decoding, reasoning controls, full context length, prompt caching, speculative decoding, streaming, logprobs and API compatibility (OpenAI Chat, Responses, Anthropic) - Gap Management: Find capability and conformance gaps from testing and telemetry, set their priority and drive them to closure with engineering - Quality Bar: Work with QA and Solutions to set acceptance criteria and the evals a model must pass before it launches Get hands-on with models - Model Testing and Evaluation: Get your hands on new models as soon as they land: run them through real prompts, agentic tasks and our feature checks to learn what works well, what does not, and where the gaps are - Finding the Edge: Spot the models, capabilities and use cases where SambaNova's speed and efficiency create a real competitive advantage, and back that view with evidence - Prototypes and Mock-ups: Build quick demos, prototypes and product mock-ups (e.g. a small app, notebook or UI) that make a model's value concrete for leadership, GTM and customers, and hand the strongest ideas to Solutions Engineering to productionize - Hands-on Findings to Roadmap: Feed what you learn into the stack rank, the feature bar and launch messaging, so roadmap decisions draw on first-hand experience as well as the data Be the model SME - Market and Model Intelligence: Track the open-weight model landscape (new releases, architectures such as MoE, MLA and GQA, benchmark and usage signals from sources like Artificial Analysis, OpenRouter and Hugging Face) and form a clear view on what matters and why - Customer Voice: Take in requests from customers, the field and the Model Feedback process, triage them, close the loop with requesters, and make sure demand is represented accurately in the rank - Competitive Positioning: Understand how our models, speed and features compare with GPU clouds and other inference providers, and turn that into roadmap and messaging - Process and Tooling: Keep improving the roadmap process and its data pipeline (Jira, internal platform APIs, public signals) so it stays trustworthy, auditable and as automated as possible Requirements Required Qualifications - Bachelor's degree or higher in Computer Science, Engineering, Machine Learning or a related technical field - 7+ years of combined experience in product management and technical roles (ML engineering, solutions engineering, research), including 3+ years as a PM on AI/ML, developer or infrastructure products - Strong working knowledge of LLMs: transformer and MoE architectures, inference trade-offs (latency, throughput, context, quantization), and features such as function calling, structured output and reasoning - A track record of owning a roadmap and shipping: setting priorities under constraints, saying no with data, and driving cross-functional teams to launch - Comfort with data: building and maintaining prioritization models, dashboards and scorecards, and hands-on enough to query an API or change a Python script - Hands-on with models: comfortable calling model APIs, running evals and quick experiments, and building simple prototypes or mock-ups (Python, notebooks or lightweight UI tools, including AI coding assistants) - Excellent written and verbal communication, with the ability to present a roadmap and defend trade-offs to executives, engineers and customers Preferred Qualifications - Product experience at an inference provider, model lab, AI cloud or AI hardware company - Hands-on familiarity with inference stacks (vLLM, SGLang, TensorRT-LLM) and OpenAI/Anthropic-compatible APIs - Experience designing evals and benchmark methodology for model quality and feature conformance - A background as an ML or solutions engineer before moving into product - Experience with enterprise, sovereign AI or public-sector customers - An active presence in the open-source model community What Success Looks Like - First 90 days: Take ownership of the stack rank, per-chip roadmap and feature framework; run the prioritization review; get hands-on with the current top-ranked models; and publish a roadmap that GTM and engineering both sign up to - 6 months: Measurable cut in time-to-model for priority models, clear visibility into capability gaps for every launched model, and every customer request tracked and answered - 12 months: The model roadmap is seen as SambaNova's strategic advantage: predictable launches, fully featured models, and a roadmap the field sells against Base Salary Range: Base Pay Range $190,000 - $230,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Applied AI Engineer, Startups (Life Sciences)
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 an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of the industry, and others do the science themselves and want Claude woven into how their own research runs, and this role works with both. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build their products on Claude and run their own research with it, advising on implementation and agent design as they build what is newly possible with AI in the life sciences. You will bridge the gap between what Claude can do and what the life sciences need, working alongside some of the strongest teams in the field on problems that matter and pushing the boundaries of AI in science as you go. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your scientific domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable life sciences startups to succeed with Claude. Responsibilities - Serve as a deep technical advisor to high-potential life sciences and biotech startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development - Work hands-on with startup engineering teams and their scientists through pair programming and architecture reviews that accelerate their development, and understand their scientific workflows end to end so that your guidance fits into real research pipelines - Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude - Create reference implementations and sample code that many companies can adopt without starting from scratch, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows - Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements - Identify patterns across engagements, including what is hard about deploying AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work - Create technical content for startup audiences including documentation, tutorials, and sample code - Represent Anthropic across the life sciences startup ecosystem and foster community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells - Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have - Deep experience in the life sciences or biotech, gained through research or industry work in areas such as genomics, drug discovery, molecular design, lab automation, or clinical development, along with strong opinions of your own about how to bridge the gap between what AI can do today and what the life sciences need - 4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real scientific work in the lab or in research - Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly - Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both engineering and scientific audiences and to run technical workshops, hackathons, or developer-focused events - A collaborative approach to working across teams, the ability to context-switch across scientific domains and use cases, and a passion for making powerful technology safe and beneficial 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: $280,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Applied AI Engineer, Startups (Physical AI)
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 an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native startups building in the physical world, across robotics, semiconductors, aerospace, manufacturing, and civil infrastructure, as they grow from early product to scale. Some of these companies build the hardware itself and want Claude woven into how they design, test, and operate it, and others build the software that engineers everywhere use to design, simulate, test, and scale, and this role works with both. You'll lead deep technical engagements, partnering directly with startup software and hardware engineering teams to help them build their products on Claude and run their own engineering with it, advising on implementation and agent design as they build what is newly possible with AI in the physical world. You will bridge the gap between what Claude can do and what it takes to build real things, working alongside some of the strongest teams in the field on problems that matter and helping mechanical, electrical, and process engineers get the kind of step change that software engineering has had from agentic coding with tools like Claude Code. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your engineering domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable physical AI startups to succeed with Claude. Responsibilities - Serve as a deep technical advisor to high-potential startups building in the physical world, whether Claude sits inside the product they sell or inside the way they design, test, and run their own hardware, working alongside them to push the boundaries of AI in engineering, manufacturing, operations, and more - Work hands-on with startup software and hardware teams through pair programming and architecture reviews that accelerate their development, and understand their engineering workflows end to end, from design and simulation through test, production, and operations, so that your guidance fits how real hardware gets built - Develop prototypes and technical documentation, including evaluation suites, benchmarks grounded in real engineering tasks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude - Create reference implementations and sample code that many companies can adopt without starting from scratch, for example integrating Claude with CAD, simulation, design tools, or industrial automation - Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements - Identify patterns across engagements, including what is hard about applying AI to physical systems such as reading drawings, 3D geometry, board layout and routing, GD&T, latency and on-premise constraints, and physical safety, then build repeatable evaluations and solutions and contribute insights back to Product, Engineering, Research, and the broader Applied AI team - Create technical content for startup audiences including documentation, tutorials, and sample code - Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events - Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have - Deep engineering experience in a physical discipline such as mechanical, electrical, aerospace, robotics, semiconductor, manufacturing, or civil engineering, gained by designing, building, or operating real hardware, along with strong opinions of your own about how to bridge the gap between what AI can do today and how physical things get built - 4+ years of technical experience as a software engineer, ML or research engineer, robotics or controls engineer, hardware or systems engineer, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real engineering work in design, simulation, test, or production - Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly - Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both software and hardware engineering audiences and to run technical workshops, hackathons, or developer-focused events - A collaborative approach to working across teams, the range of a generalist who can context-switch from robots to chips to rockets to factories and get up to speed on a new domain quickly, and a passion for making powerful technology safe and beneficial 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: $280,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Machine Learning Programmer
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. PROGRAMMING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of programming experts. We’re always improving on the tools and technology that empower content developers worldwide. What You'll Do You will work with our team of applied research programmers at the intersection of computer vision, gameplay agents, natural language processing, and machine learning to create state-of-the-art tools to support game developers in our ecosystem with a focus on bots (trained gameplay agents, intelligent NPCs, companions, world modeling), as well as automation of a number key areas (including moderation, security, and QA testing). You will be responsible for the design, implementation and deployment of production-ready machine learning models that can be integrated in our ecosystem. In this role, you will - Create and deliver production-ready, scalable and high-quality machine learning models and associated algorithms that can make actions in game environments - Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap - Methodically understand and assess the effectiveness of new data channels and support collection/creation of new ones What we're looking for - - PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience - Experience creating / applying machine learning algorithms for action modeling of bots behavior, vision-based or language-instructed, and deploying them as production-level systems in-game - Expert, hands-on knowledge of: - Deep learning, incl. but not limited to applications in the gaming industry - Foundational models and vision and/or language, especially vision-language-action models, reinforcement learning agents, incl. local deployment and model post-training of open weights models - Reinforcement learning, incl. experience with agentic systems, reward design, policy optimisation, evaluation, and building scalable training environments for agents - Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch) - Experience with working collaboratively with other developers, following a flexible/agile/lean approach EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. 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 .
Internal Event Manager - Paris
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The role We’re seeking an Internal Event Manager to lead our internal event strategy and execution. In this role, you’ll develop and implement a comprehensive events plan, manage our new event spaces, and collaborate with internal teams and external agencies to deliver exceptional experiences for Mistralers. What you'll do - Design and execute a strategy for internal events, ensuring alignment with Mistral’s culture and objectives. - Plan and manage events from start to finish, including logistics, vendor coordination, and on-site execution. - Build and maintain relationships with vendors, venues, and service providers in Paris. - Act as the primary contact for internal teams hosting events in our new HQ. - Ensure events are delivered on time, within budget, and to the highest standards. What we are looking for - At least +6 years, with 3 years as an Event Manager or in a similar role, ideally in a corporate or tech environment. - Strong organizational and project management skills. - Excellent communication and interpersonal abilities. - A network of trusted vendors and venues in Paris. - Fluency in English and French. - It would be ideal if you had: - Knowledge of AV and technical event requirements. - Familiarity with CRM or event management software. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Engineering Manager, Launch & Sandboxes- Weights &...
CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled. The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform. Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square,Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises. As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team. What You’ll Do You’ll join CoreWeave’s IaaS organization as the Engineering Manager for the Launch & Sandboxes team. The team owns two connected areas: Sandboxes, cloud execution environments that let practitioners run code in isolated, GPU-enabled containers, and Launch, the services and integrations that support job submission, compute orchestration, and HPC schedulers. You’ll lead the engineering work that connects developer workflows to the compute where AI workloads run. The systems span Kubernetes clusters, HPC nodes, and cloud virtual machines, and are designed to make it easier for customers to launch, manage, and scale workloads across CoreWeave’s infrastructure. About the role As the Engineering Manager for Launch & Sandboxes, you'll be involved in the full product lifecycle, from ideation and roadmap shaping through delivery and being available for customers. Your day-to-day will involve partnering with product management to prioritize across competing initiatives, unblocking your engineers on cross-team dependencies, and ensuring the team ships reliably while managing technical debt. You'll need to be technically fluent enough to participate in architecture discussions around container orchestration, distributed authentication, and billing infrastructure, and you're not afraid to get your hands dirty when the team needs it. At the same time, your primary focus is growing your engineers into autonomous leaders and technical decision-makers. We're an AI-forward organization that embraces LLM-based coding tools and agentic workflows to accelerate development, and we'd expect you to champion that culture within your team. This role carries a heavy customer and user focus: you'll stay close to how ML practitioners use the product and make sure that perspective drives your team's priorities. Like any role at a hyperscaler, this comes with high accountability and ownership. You'll own your team's outcomes end-to-end, from roadmap commitments through production reliability. We expect engineering managers to make hard prioritization calls, hold the bar on engineering quality, and build teams that operate with autonomy and urgency. Who You Are - 3+ years of engineering management experience, with a track record of shipping infrastructure or platform products - 5+ years of software engineering experience prior to management, with backend systems depth - Technical fluency in Go, Python, and Kubernetes (you won't write code daily, but you need to review PRs, unblock architectural decisions, and understand production incidents) - Experience managing teams that own distributed systems in production - Demonstrated ability to balance product delivery with technical health (managing tech debt, reliability, on-call) - Experience partnering with product managers to shape and prioritize a roadmap - Track record of growing engineers across levels - Strong communication skills with both engineering and non-engineering stakeholders - Comfortable operating in ambiguity, especially in newer product areas where scope is still being defined Preferred - Experience with ML infrastructure, ML platforms, or developer tools for data scientists - Familiarity with compute orchestration, job scheduling, or container isolation technologies - Experience managing teams through a product area transition (e.g., early-stage to growth, or post-acquisition integration) - Background in HPC or scientific computing environments - Experience with billing systems, metering, or usage-based pricing infrastructure - Founding experience or early-stage background where you took a product from idea to the hands of users Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams, even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. - You're energized by building a team around a product area that is still finding its shape, not just maintaining something mature. - You care about developer experience and understand that infrastructure teams succeed when their users actually love the tools. - You've managed through organizational complexity before and you're comfortable navigating cross-team dependencies and shifting priorities. Why Us? We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base pay and target total cash for this position range from $165,000.00 - $242,000.00 , accordingly. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. This position includes a discretionary bonus, equity, and a comprehensive benefits package. What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Applied AI Engineer
About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Seoul, South Korea. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: - Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Manager, Legal Programs (Privacy & AI)
Manager, Legal Programs (Privacy & AI) at Hims & Hers. Femtech Insider network role. Industry tags: Community and Lifestyle, Consumer Goods, Cosmetics, Fitness, Health Care, Health Diagnostics, Healthcare, HealthTech, Lifestyle, Medical Diagnostics, Mental Health, Mobile App. Skills: Stakeholder Management, Software Project Management, Problem Solving, Organizational Skills. Locations: United States, Remote. Work mode: remote.
Senior Software Engineer, Safety Foundation
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Safety? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization’s mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic content and behavior, and we make Roblox accounts secure and free from compromise. We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters. Aligned and partnering with product teams, we use this tool belt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world. Why Safety Foundation? Safety Foundation is the infrastructure backbone that powers safety across Roblox. Every piece of content reviewed, every moderation action taken, every safety workflow running anywhere on the platform flows through systems built by this team. We are the platform that other safety teams build on — and right now, we're in the middle of one of the most significant evolutions in our history. We're scaling to handle 10x more traffic while keeping cost growth in check. We're rebuilding the platform to be AI-first, natively supporting agentic and ML-driven safety workflows without compromising on security or auditability. And we're radically improving developer velocity — cutting the time it takes any team to integrate safety capabilities from months to hours. As a Senior Software Engineer on the Safety Foundation team, you will architect, implement, and grow the systems that enable the moderation of all content and interactions on Roblox. Your work will be fundamental in keeping the experiences of over 100+ million daily active users at Roblox safe, civil, and delightful. In this role, you will report to the Engineering Manager of the Safety Foundation team. You Will: - Contribute to the architecture & development of the Safety Platform - the backbone that powers safety across Roblox. - Help design & build the developer experience layer that enables product teams across Roblox to integrate safety capabilities in hours, not months - Take ownership of projects from concept to deployment, ensuring high quality, reliability, and scalability. - Partner closely with Trust & Safety ML, User Safety, Safety Operations, and product teams to translate platform needs into durable infrastructure You Have: - 5+ years of experience building & operating backend services and/or distributed systems - Proficient in Go or a similar compiled language (Go strongly preferred) - Experience with or strong interest in building developer platforms - Experience with CQRS, Event Sourcing, NoSQL tech such as Cassandra, DynamoDB is a plus - BA/BS in Computer Science, Engineering, or a related technical field — or equivalent experience You Are: - Versatile: You're a generalist and you are comfortable with several languages and technologies already; you are adaptable in any situation. You are resourceful, and take a creative and strategic approach to solving hard problems. - Analytical: Excited to investigate large, ambiguous problems, and quantify the problems and the solutions. - User Oriented: You always start with the needs of the user, whether they are Roblox users or internal engineers before architecting a solution. - Team Oriented: You lift up your peers and find ways to make the team stronger. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $196,750 - $243,290 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Principal AI Developer Experience Engineer
At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. Atom Computing is seeking a Principal AI Developer Experience Engineer to improve how our physicists and engineers use AI in their daily work. You will set best practices for AI-assisted engineering and build shared tooling that lets teams quickly adopt new AI-driven workflows. You will also influence product architecture to broaden where LLM-driven workflows apply, including areas where hardware, timing, or reliability requirements have typically called for conventional methods. This role’s aim is to accelerate work in experiment analysis, optics development, PCB and FPGA design, and quantum control software (C++/Rust) development. Due to the need to engineer physical systems, the role will be on-site in Boulder, CO at least 3 days per week. Responsibilities Define, document, and maintain best practices for AI-assisted coding, testing, code review, and research workflows. Influence guidelines for using LLMs on performance-critical software, including embedded C++ and Rust, RTOS applications, and kernel device drivers: where AI assistance is appropriate, how generated code is reviewed and tested, and how memory safety, timing, and determinism are verified before merge. Make forward-looking electronics architecture improvements to our AI tooling and integrations so they keep pace with advances in models and agents and with shifts in engineers' tool preferences, and track industry benchmarks for AI-assisted developer productivity so our practices stay current. Build ways to measure the output of AI and LLM-driven workflows, such as defect and revert rates of AI-assisted changes, review findings, test coverage, performance regressions, new capabilities added, and time saved, and use the results to refine tools and guidelines. Ensure safe and reliable operation of AI in quantum processors. Experience & Education Master’s or PhD in Computer Science, Software Engineering, or Artificial Intelligence 8+ years of software development Qualifications Strong software engineering skills in Python, and experience writing embedded software in C++ or Rust, including manual memory management, hard real-time constraints, and kernel device driver implementation. Influencing an organization of > 50 engineers using AI agents (Claude Code, Cursor, or GitHub Copilot) on a daily basis, identifying pitfalls and measuring impact. Working knowledge of how LLMs behave in practice: context management, prompting, agentic workflows, harnesses, effective safety practices, tool use, and judging output quality. Clear written and spoken communication with audiences ranging from physicists to new software hires. An ability to influence a multi-discipline engineering organization.
Full-Stack Engineer (Backend Leaning) - Platform E...
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role Core Platform builds the foundations every other team at ElevenLabs builds on: how users, workspaces and permissions work across our products. Our systems sit on the path of every request and are relied on by millions of users and by enterprise customers, so correctness, security and safe rollout matter as much as speed. We are hiring full stack engineers (backend leaning) for two focus areas. Depending on the team you join, your responsibilities might include: Workspaces & User Management (serving external customers) - Building and improving the building blocks customers touch directly: API keys, login experience, analytics, admin tooling, workspace security and more - Working closely with Sales, FDEs and customer teams to turn enterprise and self-serve feedback into the right improvements, and helping large customers with complex organisational structures. - Shipping customer-facing features end to end, from backend services to the admin and settings UI. Permissions & Resources (serving ElevenLabs engineering teams) - Designing and building generic resource and permissioning services that product teams use to build features safely and quickly. - Solving hard, largely greenfield problems at scale, for example how a customer with a million agents assigns and manages access. - Working across product teams to understand their needs, and driving adoption with changes that don't require every team to rework their code. In both teams you will: - Scope work as part of a large existing system: understand what exists, what could go wrong on rollout, whether a migration is needed, and how downstream teams are affected. - Roll out changes safely and with minimal disruption to existing users, teams or systems. - Debug and operate what you build, working from customer reports, logs and code. - Own features from scoping to completion, with the support of experienced engineers who are happy to mentor. Requirements We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require: - Expertise in Python. - A strong background in backend development, with comfort working across the stack where the work needs it. - Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures. - Strong test design and security fundamentals. - Care and attention to detail when changing live, business-critical systems, and the ability to learn a large existing codebase quickly. - Comfort with ambiguity: working out what should be built, and prioritising among competing signals. Bonus: - Experience with authentication, authorization or permissioning (OAuth, SSO/SCIM, RBAC or similar). - Experience with Kubernetes. - Experience building internal platforms or services used by other engineering teams. Location Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw. 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.
Full-Stack Engineer (Backend Leaning) - Payments E...
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role The Payments team owns how ElevenLabs charges customers: billing, usage tracking, pricing and payments across self-serve and enterprise. Everything we do has to be correct, because it underpins the company's revenue and is immediately visible to every customer and team. We are hiring full stack engineers (backend leaning) to expand and evolve our payments systems. Your responsibilities might include: - Building and maintaining usage tracking so that requests are metered accurately without impacting latency. - Leading our migration of enterprise pricing and usage processing, including new stream-processing services for usage events. - Making it easy for customers to upgrade and pay, including paying through different entities and supporting new payment providers. - Working with Finance and Tax teams to meet compliance, audit and reporting requirements. - Enabling pricing and Growth experiments with Growth and product teams. - Debugging complex customer billing scenarios: piecing together what happened from the customer's experience, logs and code, and fixing the cause. - Collaborating with Sales, FDEs, Finance and engineers across the company. Much of this work extends or replaces systems that already exist, so you will scope carefully, plan migrations, and roll changes out without disrupting customers. Requirements We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require: - Expertise in Python. - A strong background in backend development. - Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures. - Strong test design and security fundamentals. - Care and attention to detail when changing live systems that handle money. - The ability to learn a large existing system quickly and to debug complex production issues. Bonus: - Experience with payment processing providers, or with billing and usage-based pricing systems - Experience with stream processing or high-throughput event pipelines. - Experience working with finance, tax or audit requirements. - Experience with Kubernetes. Location Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw. 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.
Member of Technical Staff - Storage (Stockholm)
About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You'll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You'll own durability and cost at petabyte scale, from streaming and batch replication between origins, to garbage collection over billions of objects. You'll work across the stack, from local disk and page cache to distributed blob storage and garbage collection and you'll help shape what storage becomes next as we push storage closer to workloads. Requirements: - 5+ years of experience writing high-quality production code - Experience building high-performance distributed storage or caching systems at a large scale (the more challenges you've worked through, the better) - Strong cloud skills, including deep familiarity with object storage (S3 or similar), CDNs, and their consistency, throughput, and cost characteristics - Strong knowledge of low-level operating system foundations (Linux kernel, file systems, page cache, containers, etc.) - Willingness to step into the thick of it with our on-call rotation and respond to production incidents Nice-to-Haves: - Experience with replication, content addressing, and consistency models in multi-region or multi-cloud systems - Experience operating storage systems at scale (petabyte-scale datasets, high-throughput read/write paths, large-scale garbage collection or data migration) - Experience with data engineering at petabyte-scale. - Prior experience with Rust Key Things the Team Is Working On: - P2P sharing of data across workers within a single datacenter to dramatically reduce ingress - Replicating data across multiple blob storage providers - Automating garbage collection across hundreds of petabytes of data - Deploying colocated storage clusters to datacenters to accelerate high-throughput customer workloads
Manager - Sales Development Representatives (SDR)...
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 a Manager - Sales Development Representatives (SDR) (London) - EMEA to lead and scale our founding EMEA SDR team at LangChain. Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline. This role will own the performance, coaching, and development of the SDR team , while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts. What You'll Do: - Lead and coach a team of SDRs responsible for generating qualified pipeline - Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment - Recruit top SDR talent and grow the team as LangChain continues to scale - Develop SDR talent through coaching, call reviews, and structured feedback - Build repeatable outbound and inbound qualification playbooks - Partner with marketing to convert inbound demand into qualified opportunities - Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals - Implement systems and workflows that improve SDR productivity and effectiveness - Use data to continuously improve performance, analyzing conversion rates across the funnel How to be successful in this role: - Have 5+ years of experience in sales development - Have 1–3+ years managing SDRs or leading a sales development team - Are comfortable working with technical products and developer audiences - Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.) - Are highly data-driven and comfortable managing performance through metrics - Are passionate about coaching and developing early-career sales talent - Thrive in fast-moving environments where processes are still evolving - Have strong communication and organizational skills 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.
SoC Engineer
About the Team OpenAI’s Hardware organization develops custom silicon and systems for advanced AI workloads. Our first-party accelerator team works across chip architecture, design, software, and systems to build the computing platforms that power frontier models. We are a small, dynamic team that values technical breadth, hands-on engineering, and creative approaches to building complex hardware. About the Role We’re looking for a SoC Engineer to help architect, design, and integrate OpenAI’s first-party AI accelerators. You will build the processor, interconnect, I/O, and platform infrastructure that connects our accelerator designs into complete, functional systems. This role combines architectural judgment with hands-on implementation. You’ll work closely with design, architecture, verification, and software teams throughout development, from defining subsystem requirements and integrating IP to pre-silicon validation, silicon bring-up, and post-silicon debug. You should enjoy stretching across domains, rolling up your sleeves, and doing the work needed to make a complex system function end to end. In this role, you will: - Define and implement SoC architectures spanning embedded processors, AMBA interconnects, peripheral subsystems, PCI Express, Ethernet and die-to-die interfaces. - Develop the microarchitecture and RTL design of subsystems supporting I/O and SoC functionality. - Integrate Arm Cortex-M and Cortex-A processors, AXI/APB fabrics, and third-party controller IP, including the RTL and glue logic needed to connect these components. - Develop reset and boot architectures, working with firmware and software teams to define sequencing, initialization, and survivability behavior. - Incorporate debug, test, and security requirements into the SoC architecture and implementation, partnering with other silicon designers to make the silicon observable, testable, and secure. - Drive PCIe and other I/O integration, including controller and PHY interfaces, high-speed SerDes, and die-to-die connectivity. - Contribute to power management and security architecture and design. - Work directly with third-party IP vendors to define technical requirements, evaluate IP capabilities, coordinate deliverables, and resolve issues from integration through silicon bring-up. - Work across architecture, design, verification, physical design, and software teams to define interfaces, resolve integration issues, and carry designs through pre-silicon validation and post-silicon bring-up. - Work closely with Firmware and Software teams to define boot, configuration and runtime behavior and functionality. - Build and apply automation and AI-assisted tools to accelerate design, IP integration, consistency checking, and debugging while maintaining engineering quality. You might thrive in this role if you: - Have experience in SoC architecture, RTL design, and subsystem or full-chip integration, with hands-on ownership through implementation and silicon bring-up. - Are familiar with Arm processor subsystems, including Cortex-M and Cortex-A, and AMBA protocols and interconnects such as AXI and APB. - Understand PCIe protocols and have experience configuring, integrating, and debugging controller IP. - Have experience integrating high-speed I/O, including SerDes/PHY interfaces and die-to-die links. - Have experience working directly with third-party IP vendors to evaluate technical fit, communicate requirements, and drive integration and debug issues to resolution. - Understand reset and boot architecture and the interactions between hardware, firmware, and software during initialization and recovery. - Have experience designing for debug, test, and security, and can reason about how these requirements affect the broader system. - Are comfortable writing and debugging Verilog/SystemVerilog and building scripts or tools to make integration work more efficient and reliable. - Enjoy stretching into multiple domains, learning unfamiliar parts of a system, and rolling up your sleeves to build and debug. - Enjoy working on a small, dynamic team where priorities evolve and engineers take broad ownership. - Are excited about creatively applying automation and AI tools to hardware design and integration work. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Experiential Producer
About the Team AI will change how the world works. Human connection will shape what it becomes. OpenAI’s Events and Experiences team, part of Business Marketing, carries the critical responsibility of bringing people together around OpenAI’s mission – building artificial general intelligence that benefits all of humanity. We strive to put human benefit in the spotlight and craft experiences that build trust, spark possibility, and make the future feel within reach and exciting. We are not a traditional events team: we move with extreme speed, rigor, and precision. We use AI tools to rethink everything from the first plan to the final guest moment – and we bring grit, joy, humor, and extraordinary creative talent to create what has not existed before. About the Role We’re looking for an Experiential Producer to put OpenAI’s latest technology in people’s hands. You’ll produce experiences where people discover something they didn’t know they could do with our products, whether they’re trying ChatGPT for the first time or building with our newest developer tools. From intimate demos to global launches, cultural programs, large-scale events, booths, and brand installations, you’ll help shape how people experience OpenAI around the world. Working closely with Product, Marketing, and creative partners, you’ll take concepts through design development, fabrication, and on-site delivery. You’ll bring deep experience producing booths and custom builds, managing agencies and vendors, and working directly with fabricators to understand what’s possible within the budget and timeline. This role needs someone who can run several projects at once and stay close to the details. You’re resourceful when plans change, comfortable making decisions on your feet, and clear with the people depending on you. You take pride in producing great work and bring a sense of humor and genuine enthusiasm to the process. In this role, you will: - Produce the experiences that introduce people to OpenAI’s newest products, from global launches and hands-on demos to custom installations around the world. - Work with Product, Marketing, and creative teams on what’s coming next, turning ambitious concepts into production briefs and build plans for different audiences. - Bring together agencies, fabricators, technical specialists, and venues to solve builds that don’t have an off-the-shelf answer, from early prototypes to finished experiences. - Independently run several projects at once. Set milestones and own scopes, bids, negotiations, contracts, procurement, budgets, and forecasts while keeping deadlines, dependencies, and approvals organized. - Lead booth builds, technical production, and live delivery, from product integrations and AV to show calls. Protect quality, accessibility, safety, privacy, and brand standards. - Keep a fast-moving team informed and supported. Celebrate wins, share progress and hurdles without prompting, and take on unfamiliar problems as plans change. - Experiment with OpenAI tools throughout production, from research and planning to vendor briefs, project updates, and post-event analysis. Help the team find better ways to work. - Set success measures and use audience response, product engagement, business results, and partner feedback to improve future experiences, reusable production tools, and vendor standards. You might thrive in this role if you have: - 8+ years producing experiential programs, brand activations, launches, installations, exhibitions, or live events, ideally for technology or complex products. - Deep experience producing booths and custom builds, with a portfolio showing sound design judgment, practical problem-solving, and careful execution. - Experience working with Product, Engineering, or technical teams, and genuine curiosity about how OpenAI’s products work. - The initiative to own projects independently: set milestones, make decisions, and tackle unfamiliar problems without waiting to be asked. - A diverse network of trusted agencies and vendors, strong negotiation skills, and good judgment about when to use a full-service agency or a specialist. - Experience adapting production for different audiences, cultures, event scales, and markets while keeping global standards consistent. - A natural collaborator who enjoys meeting people and hearing new ideas. You listen with empathy and build trust across teams and partners. - Exceptional organization across multiple projects, substantial budgets, and tight deadlines, with the flexibility to reprioritize when plans change. - High standards for quality and a willingness to get hands-on. You bring a sense of humor and don’t take yourself too seriously. Workplace and Location This is a hybrid role based in San Francisco and in office 3x/week. 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.
Engineering Manager, Identity Platform
About the Team Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organizational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem. Our systems are the front door to OpenAI—held to an exceptionally high bar for availability, security, and latency—and are depended on by many internal teams. About the Role As an Engineering Manager, Identity Platform you will lead a team owning foundational identity services that must be highly reliable, secure, and fast under extreme load. You’ll set direction, grow and support the team, and partner closely across engineering and security to strengthen the platform that enables trusted access to OpenAI products. In this role, you will: - Build, lead, and develop a high-performing engineering team. Coach and mentor engineers and senior technical leads to increase their impact and support their growth. - Define and own the technical strategy, roadmap, and execution for OpenAI’s core identity systems. - Guide the architecture of distributed systems operating at massive scale, with high requirements for reliability, privacy, and performance. - Partner closely with Product and Infrastructure teams to support new product needs and uphold high system standards. - Ensure the team operates effectively, maintains strong engineering rigor, and consistently delivers against ambitious goals. - Establish processes and a culture that enable fast learning, high trust, and responsible innovation. - Lead the team responsible for the authentication stack and token exchange infrastructure, ensuring high availability, strong security posture, and low-latency performance. - Own and improve request validation at the edge for logged-in users, delivering extremely high reliability and fast validation under high throughput. - Oversee systems that enable secure access to user data, improving scalability, reliability, and access patterns for internal consumers across the company. You might thrive in this role if you: - Have 10+ years of experience building, scaling, and operating distributed systems at large scale. - Have 3+ years of experience managing high-performance engineering teams in fast-paced, rapidly shifting environments. - Care deeply about people leadership, coaching, and helping engineers achieve peak performance. - Communicate clearly, think holistically, and make decisions grounded in both user needs and long-term sustainability. - Have experience managing an infrastructure team and are effective at hiring, coaching, and developing engineers while maintaining strong operational excellence. - Have deep experience building and operating high-scale backend systems, with a track record of improving reliability, latency, and security in production. - Bring broad infrastructure expertise across the stack—from hardware and cluster management to services and storage layers. 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.
Creative Director, Art
ABOUT THE TEAM OpenAI didn’t begin as a traditional company. It began as an idea: that artificial intelligence could be developed in a way that benefits everyone. As a creative team, our role is to help make sure the work behind that idea is understood, as it leaves the lab and meets the world. This company works at the frontier of intelligence. Like any frontier, it’s unfinished, constantly shifting, and still being explored. Our job is to stay close to that uncertainty and help shape how this story gets told, in a way that feels grounded and human. We do this through campaigns, launches, films, brand systems, and work that doesn’t fit neatly into any of those categories yet. This team is for people who want to help shape something from the beginning. ABOUT THE ROLE We’re looking for an experienced Creative Director, Art to join our in-house creative team, focused on OpenAI’s business audiences. In this role, you’ll shape the visual direction and creative expression of our B2B brand across integrated campaigns, product launches, customer storytelling, and key industry moments. You’ll help translate the capabilities of OpenAI’s technology into clear and compelling stories for business leaders, technical decision-makers, developers, and teams bringing AI into their organizations. The strongest work will make sophisticated products understandable without oversimplifying them—and connect what the technology can do with the real needs, ambitions, and outcomes of our customers. This role sits at the intersection of conceptual thinking, visual craft, and business storytelling. You’ll partner closely with writers, designers, product marketers, sales and customer teams, product leaders, and external collaborators to develop big ideas and bring them to life across formats—from integrated campaigns and digital experiences to customer stories, films, events, and product storytelling. To us, creativity is a team sport. Ideas get better when you talk them through and build on each other’s thinking. We value curiosity over certainty, kindness over ego, and the ability to balance creative ambition with clarity and decisiveness. IN THIS ROLE YOU WILL - Lead the visual concepting and creative direction for B2B campaigns, product launches, customer stories, and key industry initiatives - Develop compelling visual ideas that connect OpenAI’s products and technical capabilities to customer needs, organizational transformation, and business outcomes - Create work that resonates across a range of audiences, including enterprise leaders, technical decision-makers, developers, and teams adopting AI - Partner closely with Creative Directors, writers, designers, motion artists, producers, and product marketers to shape integrated campaign ideas - Provide creative leadership from early strategy and concept through final execution across multiple channels and formats - Guide the visual direction of campaign photography, illustration, motion, film, digital experiences, events, and customer storytelling—sometimes hands-on, often through external collaborators - Collaborate with Product Marketing, Product, Sales, Customer Success, Communications, and Research to turn complex technology and customer insights into credible, differentiated creative work - Build visual systems that can extend across the B2B customer journey, from awareness and product education to industry events and customer engagement - Help evolve OpenAI’s visual language for business audiences in ways that are distinctive, scalable, and expressive while remaining connected to the broader brand - Maintain a high bar for visual craft, conceptual thinking, and creative ambition, even when working within complex business or technical subject matter - Lead multiple creative initiatives simultaneously with clarity, strong judgment, and creative conviction YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have 10+ years of experience as an Art Director or Creative Director at a top-tier creative agency and/or in-house at a modern technology company, with experience in both strongly preferred - Bring a strong background in visual design and art direction across channels, including integrated campaigns, digital, social, film, product storytelling, events, and customer marketing - Have experience creating work for B2B, enterprise, developer, or other technically sophisticated audiences - Are a conceptual thinker who can develop big creative ideas and guide them from early strategy through execution - Know how to turn complex products, technical capabilities, and business challenges into visual stories that are clear, human, and memorable - Have experience leading integrated campaigns and large-scale brand initiatives across different stages of the customer journey - Can balance the need for enterprise credibility with the desire to create distinctive, culturally relevant work - Are comfortable operating in fast-moving environments with evolving priorities, multiple stakeholders, and complex creative challenges - Have exceptional design taste and a deep commitment to visual craft and storytelling - Are a strong cross-functional collaborator who works effectively with creative, product marketing, product, sales, communications, and production partners - Have experience guiding work through internal teams, agencies, and external creative vendors - Balance creative ambition with clarity, precision, and strategic thinking NICE TO HAVE - Experience working on enterprise technology, developer platforms, AI, or emerging products - Experience creating campaigns for audiences that span executive buyers, technical decision-makers, developers, and end users - Motion design or film art direction experience - Experience leading visual storytelling for technical product launches, customer stories, or industry events - Experience developing modular creative systems that can scale across regions, industries, channels, and customer segments - Comfort giving creative direction in Figma, Google Slides, and production environments, including shoots and post-production - Curiosity about AI, the future of work, and how organizations adopt transformative technologies About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Strategy & Operations Lead — SEA & ANZ
About the Team The APAC team is responsible for bringing OpenAI’s mission, products, and partnerships to life across one of the company’s most strategically important regions. As we scale our presence across Asia-Pacific, we are building a regional operating model that enables strong local execution, consistent global alignment, and long-term impact across businesses, products, markets, and functions. About the Role We are looking for a Strategy & Operations Lead to lead and scale operational excellence across India. Reporting to the VP for South East Asia & ANZ, this leader will work hand in hand with the VP to translate global strategy into regional execution, ensure operating discipline across markets and functions, and help the business scale with consistency, speed, and rigor. This person will act as a key bridge between global leadership and regional teams, bringing clarity to priorities, building scalable operating systems, and ensuring the region is set up to deliver against ambitious business goals while keeping the long-term opportunity in mind. In this role, you will: - Defining and implementing the South East Asia & ANZ operating strategy in alignment with APAC & global objectives and regional priorities. - Driving execution across key markets, ensuring consistency while adapting to local needs, regulations, and market dynamics. - Partnering with global leadership to prioritize initiatives, allocate resources, and ensure strong execution in-region. - Establishing KPIs, reporting frameworks, and operating cadences to track performance and inform decision-making. - Building and optimizing scalable processes across business lines, including consumer, product, partnerships, and other key functions. - Identifying operational gaps and inefficiencies, and implementing continuous improvement initiatives. - Supporting market entry strategies and operational readiness for South East Asia & ANZ - Enabling strategic partnerships through strong operational frameworks and close partnership with relevant teams. - Helping build a strong regional functional leadership team and ensuring the regional operating system runs smoothly and efficiently. - Collaborating closely across functions to drive accountability and deliver against regional goals. - Ensuring seamless coordination between global and regional stakeholders. - Acting as a central point of accountability for operational delivery across South East Asia & ANZ. - Building, leading, and mentoring a high-performing regional operations team. - Fostering a culture of accountability, inclusion, operational rigor, and continuous learning. - Developing leadership bench strength across key markets and functions. You might thrive in this role if you have: - Significant experience leading regional or international operations in a fast-scaling, complex business environment. - Strong strategic and operational judgment, with the ability to translate high-level goals into clear execution plans. - Experience operating across multiple markets, functions, and business lines, ideally within South East Asia & ANZ. - A track record of building scalable operating systems, processes, metrics, and reporting frameworks. - Strong cross-functional leadership skills and the ability to influence senior stakeholders across global and regional teams. - Excellent business judgment, with a bias toward action and strong accountability for outcomes. - Experience supporting market expansion, operational readiness, and/or regional growth initiatives. - Strong people leadership skills, including experience building and developing high-performing teams. - Comfort operating in ambiguity and creating structure in fast-moving environments. - High integrity, low ego, and a collaborative leadership style. - Strong written and verbal communication skills, with the ability to bring clarity to complex topics. 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.
Motion Designer, Business Marketing
About the Team Business Marketing helps organizations understand and put OpenAI’s products to work. Our creative team brings that story to life across campaigns, launches, and everyday marketing experiences. We work closely with marketing partners to make ambitious, thoughtful creative work that connects with business audiences. About the Role Motion design helps define how OpenAI communicates with business and technical audiences—across campaigns, product launches, customer storytelling, events, and ongoing brand experiences. As a Motion Designer on the B2B creative team, you will create motion work that makes complex technology understandable, compelling, and relevant to organizations exploring how AI can transform their work. This is a hands-on role focused on craft and execution. You’ll work closely with designers, writers, producers, product marketers, and cross-functional partners to deliver motion that connects OpenAI’s products and research to customer needs and business outcomes while remaining clear, thoughtful, and consistent with the OpenAI brand. To us, creativity is a team sport. Ideas get better when you talk them through and build on each other’s thinking. We value curiosity over certainty, kindness over ego, and the ability to balance craft with decisiveness. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will - Design and produce motion assets for B2B marketing and communications, including integrated campaigns, product launches, customer stories, films, events, social content, web experiences, and presentations. - Translate complex technical concepts and product capabilities into clear, engaging motion for business leaders, technical decision-makers, developers, and enterprise buyers. - Develop visual narratives that connect OpenAI’s technology to customer needs, organizational change, and meaningful business outcomes. - Collaborate with brand, product marketing, sales, communications, and other partners throughout the creative process—from initial concept through final delivery. - Contribute to and apply OpenAI’s motion design principles and systems consistently across B2B channels and touchpoints. - Develop storyboards, motion studies, and prototypes to explore ideas and communicate creative direction. - Execute high-quality animations with strong attention to detail, pacing, typography, and consistency. - Adapt work for multiple audiences, platforms, and formats while maintaining brand standards and the integrity of the underlying technical story. - Partner with producers and project managers to scope work, manage timelines, and deliver on deadlines. - Participate in reviews and critiques, providing and incorporating clear, constructive feedback. You might thrive in this role if you have - Bachelor’s degree in Design, Animation, or a related field, or equivalent professional experience. - 8+ years of experience in motion design, with a portfolio demonstrating strong brand, campaign, or B2B marketing work. - Proficiency in industry-standard motion design and animation tools. - Strong fundamentals in storytelling, timing, composition, typography, and visual systems. - Experience translating complex products, technologies, or ideas into accessible and compelling creative work. - Experience creating motion across B2B marketing and communications touchpoints. - Ability to collaborate across creative and business disciplines and communicate design decisions clearly. - Comfort working with evolving briefs, technical subject matter, and multiple stakeholder perspectives. - Ability to work in a fast-paced, evolving environment with a high bar for quality. Nice to have - Experience creating work for enterprise technology, AI, developer, or B2B audiences. - Experience working on global brand, product marketing, or integrated B2B campaigns. - Familiarity with motion systems or design systems for global brands. - Experience partnering with product marketing, sales, product design, or engineering teams. - Experience developing customer stories, event content, executive presentations, or sales-enablement creative. - Exposure to emerging motion formats, including interactive, immersive, or real-time experiences. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Head of Enterprise Risk Management
About the Team The OpenAI Risk & Audit team is building an enterprise risk capability for a company operating at the frontier of AI. We help leaders identify, understand, and manage the risks that matter most while enabling responsible innovation and durable growth. We are developing a modern enterprise risk management (ERM) program and the technology foundation that powers it. Our work connects risk strategy, governance, compliance, and assurance with high-quality data, automated workflows, continuous monitoring, and AI-enabled analysis. We partner across Finance, Security, Legal, Engineering, Product, People, Operations, and Internal Audit, and provide clear reporting to senior leadership and the Board. We aim to make risk ownership practical, decision-useful, and embedded in how OpenAI builds and scales. About the Role As the Head of Enterprise Risk Management, you will help build and lead an integrated ERM program and the ERM platform that supports it. You will establish common risk language, governance, and decision processes while translating them into scalable systems, data products, and workflows. You will own enterprise risk assessments, maintain a centralized risk register, develop risk appetite and key risk indicators, and help leaders evaluate significant changes such as new products, markets, partnerships, major systems, and strategic investments. This is a hands-on leadership role at the intersection of risk, operations, and technology. You will work with technical and business teams to connect source systems, improve data quality, automate evidence and control monitoring, and use AI to surface emerging risks and accelerate analysis. You will also help create a strong risk culture, coordinate assurance across the three lines, and communicate complex issues with clarity and sound judgment. This is an opportunity to build a next-generation capability from the ground up. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design and evolve OpenAI’s enterprise risk management framework, including risk taxonomy, governance standards, risk appetite, escalation thresholds, and mitigation expectations. - Lead enterprise risk assessments and maintain a centralized, decision-useful risk register that reflects strategic, financial, operational, technology, security, compliance, and emerging risks. - Establish key risk indicators, continuous-monitoring capabilities, and executive dashboards that translate complex data into clear signals, trends, and actions. - Enable risk-informed change governance for new products, markets, partnerships, acquisitions, major systems, and other high-impact initiatives. - Lead effective governance forums working cross-functionally with key partners such as Compliance, Finance, Security and others, and prepare concise reporting for senior leadership and the Board. - Define the strategy and roadmap for a modern ERM platform that will connect with systems across the enterprise including identity, finance, HR, ticketing, code, and others through reliable integrations and shared data models. - Apply automation, policy-as-code, data analytics, and AI-assisted workflows to evidence collection, control monitoring, issue management, risk analysis, and audit or regulatory responses. - Coordinate risk activities across Finance, Security, Legal, Compliance, Engineering, Operations, and Internal Audit, clarifying ownership and reducing duplication across the three lines of defense. - Build, coach, and lead a high-performing team, strengthen first-line ownership, and foster a culture of practical risk management, curiosity, accountability, and continuous improvement. You might thrive in this role if you have: - 12+ years of experience across enterprise or operational risk, compliance, internal audit, security governance, finance, or related fields, including significant experience leading ERM or GRC programs. - A track record of building or materially scaling an enterprise risk program in a fast-growing, technology-driven, or otherwise complex global organization. - Strong command of ERM and assurance practices, including risk appetite, risk assessments, KRIs, controls, issue management, and the three-lines model; familiarity with frameworks such as COSO or ISO/IEC 27001/27017/27018/27701/42001. - Experience advising executives and presenting risk information to senior governance bodies, with the judgment to make complex tradeoffs clear and actionable. - Technical fluency with GRC platforms, data architecture, APIs, system integrations, cloud environments, and automated workflows; experience with infrastructure-as-code, CI/CD, or policy-as-code is a plus. - Experience using data analytics, automation, or AI-enabled tools to improve risk sensing, evidence analysis, control monitoring, and reporting. - The ability to connect strategic, financial, operational, technology, security, and compliance risks and to work effectively across technical and non-technical teams. - Demonstrated success hiring, coaching, and developing multidisciplinary teams while operating effectively in ambiguity and at high velocity. - A relevant bachelor’s degree or equivalent practical experience; credentials such as CIA, CPA, CISA, CRMA, CRM, or an advanced business, legal, or technical degree are valued. 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.
Creative Delivery Director, Business Marketing
About the Team OpenAI's Business Marketing team helps companies understand and adopt our products and platform. The team develops integrated programs for business leaders, technical decision-makers, developers, and enterprise customers across launches, campaigns, brand, content, web and digital experiences, events, customer storytelling, and sales enablement. We work across Marketing, Creative, Product, Sales, Communications, and external partners to turn complex technology into useful, credible stories and experiences. About the Role As the Delivery Lead for Business Marketing, you will own end-to-end production and delivery across the B2B marketing portfolio. This role combines the scope of an executive producer with portfolio delivery and people leadership across creative and digital work. You will be accountable for everything that must ship: turning priorities and briefs into executable plans, assigning the right teams, managing dependencies and decisions, and carrying work through launch and final handoff. You will lead producers and project managers while staying hands-on with the most complex or high-priority work. You will create a clear view of the portfolio, make practical tradeoffs, remove obstacles, and serve as the primary delivery escalation point for internal teams and agency partners. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will - Own end-to-end delivery across the full B2B marketing portfolio, including integrated campaigns, launches, brand and content programs, web and digital experiences, events, customer stories, and sales enablement. - Lead, coach, and allocate work across producers and project managers, with clear ownership, operating standards, and escalation paths. - Personally produce the highest-priority or most complex initiatives and stay close enough to the work to resolve difficult delivery problems. - Turn business goals and creative briefs into executable plans with clear scope, deliverables, milestones, resources, budgets, dependencies, approvers, and definitions of done. - Maintain an integrated view of active and upcoming work so teams can see priorities, capacity, timelines, dependencies, risks, and decisions in one place. - Coordinate reviews, decisions, and handoffs across marketing, creative, digital, product, sales, communications, agencies, and other contributors. - Own agency and production-partner delivery, including scoping, kickoff, working rhythms, budgets, risk management, and performance. - Identify delivery risks early, remove obstacles, make tradeoffs, and escalate the decisions that require senior leadership judgment. - Ensure approvals, usage rights, final assets, source files, and delivery documentation are complete and easy to find. - Build practical production and project-management methods that improve planning, quality, and throughput as the B2B portfolio and team grow. - Provide concise delivery reporting on what has shipped, what is next, what is at risk, and where decisions are needed; lead retrospectives and put agreed improvements into practice. You might thrive in this role if you - Have 10+ years leading a complex, high-volume portfolio of integrated marketing and creative work across both traditional and digital channels. - Bring deep creative-production expertise and a strong command of digital delivery workflows, including web and content experiences. - Have managed and developed both producers and project managers, and know how to build a team as the work scales. - Can turn incomplete briefs, changing priorities, and compressed timelines into clear plans without losing momentum or quality. - Use strong portfolio judgment to sequence work, balance capacity, and make tradeoffs across competing priorities. - Are experienced in managing agencies, production partners, scopes, budgets, and vendor performance. - Communicate clearly with senior stakeholders and working teams, and create the conditions for fast, well-informed decisions. - Balance a detailed command of delivery with a systems-level view of how the full portfolio fits together. - Operate as a leader-doer: collaborative, steady under pressure, willing to work through hard details, and biased toward action. 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.
Company Operations Lead
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role ElevenLabs moves fast - by design. We run lean, we bias toward action, and we trust our people to figure things out. That's how we've built world-leading AI products in three years with a fraction of the headcount of our peers. But speed at 200 people and speed at 1,000+ people are different challenges, and the systems, habits, and connective tissue that let a company move fast without breaking things don't build themselves. As our Company Operations Lead, you'll own the infrastructure that lets ElevenLabs keep its velocity as it scales. Not by adding process for process's sake - but by building the right systems, in the right places, at the right time, so that the rest of the company can focus on what they do best. You'll establish the operating layer that keeps a 50-country, hybrid organization coherent; drive the strategic planning cadence that keeps leadership aligned; and deploy a lean team of strategic generalists against the company's most urgent cross-functional challenges. You’ll be responsible for: - Operating Cadence: Running the planning and alignment cycles that keep the company pointed in the right direction. This includes OKR planning, workforce, and headcount planning. - Operating System : Building and maintaining the infrastructure layer that lets the company move faster. Systems of record, org taxonomy and governance, and the knowledge management systems that ensure information flow effectively across our remote-first team. - AI Enablement & Agentification: Ensuring every team at ElevenLabs has the tools, access, and knowledge to work effectively with AI. You'll own the internal AI enablement framework - managing tool access and rollout, identifying where agents and automation can accelerate how functions operate, and building the learning opportunities and champions programmes that drive deep adoption. You'll work closely with Security, IT, and the Automations team to ensure what gets built is built right. - Operations Centre of Excellence: Defining what great operations looks like at ElevenLabs and embedding it across the company. You'll set the blueprint that makes operational excellence repeatable and deploy the team as embedded operators inside other functions, standing up best practices, up-skilling teams, and handing off cleanly once the work is done. Requirements We do not require formal experience, certifications, or degrees. We do require: - Proven experience building and leading a Strategy & Operations or BizOps function at a high-growth technology company - ideally through a meaningful scaling inflection (Series B–D trajectory or equivalent). - Track record of standing up functions and systems from scratch and handing them off, rather than owning a permanent queue. - Structured problem-solving background - strategy consulting, a BizOps or Chief of Staff seat with genuine strategic scope, or an operator role that required both systems-building and executive influence. - Strong AI and tooling fluency - you should be pushing the organisation on what's possible with AI enablement, not chasing it. - Exceptional stakeholder management: you can partner with founders and Leads and earn trust quickly in a flat, high-velocity environment. Bonus: - Experience inside a company that scaled through a 200 → 2,000+ person inflection. - Background that spans both consulting and operator roles - you've done the thinking and the building. - Familiarity with knowledge management, AI agentification, or internal tooling as an operational discipline. Location This role is remote. London or New York preferred. 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.
Senior Account Executive
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? In this role, you will have ownership of the full sales cycle - from identifying leads to closing deals with Global 2000 across Sweden, Denmark and Norway in telecommunications, financial services, industrial manufacturing, energy and utilities, and healthcare and life sciences. Sovereignty and control over where data and models reside are growing priorities across these sectors, and Cohere is well positioned to meet that need with private, on-premise and in-country deployment built for enterprise scale. We’re looking for an approachable and compelling communicator who loves working with prospects to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them achieve their business goals. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across customer success, sales development, marketing, and solution architecture. As a Senior Account Executive, you will: - Drive net-new customer acquisition across Sweden, Denmark and Norway via targeted outbound activity, executive introductions, and relationship building with key stakeholders - Own the full sales cycle – from initial outreach, technical and business validation, through deal close - Support coverage of adjacent Nordic accounts as territory priorities require - Generate and own your own pipeline through disciplined outbound, research and executive prospecting - Be a trusted advisor to customer prospects, deeply understand their challenges & goals, and tailor solutions to drive impact for their businesses - Leverage senior-level relationships with executives to drive strategic partnerships and sales opportunities - Align closely with our partners and systems integrators to drive shared revenue and extend reach into target accounts - Work cross-functionally across the business, drawing in the right technical and specialist colleagues as each engagement requires - Collaborate with Sales Development Representatives and Marketing to supplement your own top of funnel activity You may be a good fit if you have: - Fluent in at least one Nordic language – Swedish, Norwegian or Danish – in addition to English; additional Nordic languages are a strong advantage - 10+ years of B2B enterprise sales experience with Global 2000 and large enterprise customers along with experience negotiating & closing transformational 7-figure deals - Depth in at least two of our priority sectors: financial services, telecommunications, energy and utilities, manufacturing, healthcare and life sciences - A hunter mentality - you take pride in generating your own pipeline and are at your best when building a territory rather than managing an inherited one - A proven track record of high performance and exceeding quotas - Experience building and maintaining senior-level relationships with executives - Experience working alongside channel partners and systems integrators to drive sales cycles and hit shared revenue goals - Excellent communication skills - you are a great listener, have a knack for understanding what matters most to others & building strong relationships, experienced presenting to a C-suite audience, and feel comfortable speaking to both technical and non-technical customer prospects Additional Requirements: - Experience selling complex enterprise level solutions, technical products, and private or on-premise deployments (AI/NLP solutions preferred) - Familiarity with European data residency, sovereignty and regulatory requirements as live buying criteria - High tolerance for ambiguity - this is an early-stage territory without an established local playbook, and you'll need to be both a doer and a strategist - Creativity - deal structures can widely vary, strong technical acumen and the ability to creatively structure mutually beneficial partnerships are necessary 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.
Software Engineer, Model Lifecycle and Signals
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the Role As a Software Engineer on the Model Lifecycle and Signals team at SpaceXAI, you'll own the bridge between frontier models and every user facingCursor product, used at a scale few teams ever see. You'll decide when we use which model, spot where models go off track and build the guardrails to keep them on it, and shape what the next generation of models should learn. This role sits at the intersection of infrastructure, data, and product. You'll bring models from preview to production, dig into real-world data to find out what's actually working, and partner with research, inference, product, and data science teams to turn that evidence into better products and better models. Every improvement you make compounds across our products and every model we ship. What you'll work on - Get new frontier models into users' hands the day they're ready, and retire old ones without anyone noticing. - Evaluate internal and external preview models before launch and give meaningful feedback to the teams building them. - Build Cursor Router : decide which model handles each request, balancing quality, speed, and cost at massive scale. - Build the eyes and ears of the product, and the experimentation platform that puts them to work: signals that show where each model shines, where it goes off track, and what 'better' actually means. You may be a fit if - You're an exceptional engineer with a track record of shipping production systems people rely on. You own problems end to end, and you'd rather automate a painful process than repeat it. - You've built and operated evaluation, measurement, or model serving systems, such as AI evals, experimentation, ranking/relevance, or routers. You can turn ambiguous "quality" questions into concrete metrics, pipelines, and decisions. - You're fluent with data and can collaborate effectively with data scientists and researchers. - You have strong taste and real curiosity about model and agent behavior. You try new models the day they come out and have opinions about where each one shines. Applying If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team. LI-DNI
Pricing Lead
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. About the role Preferable to have someone near an office in NYC or San Francisco, but open to hiring around the world for the right candidate. Runway Creative is an all-in-one platform giving creators and businesses endless ways to generate and edit video, images, and audio. Our customers range from individual creators on self-serve plans to studios and enterprise marketing teams, and they generate with both Runway's own models and leading third-party models, all on one platform. We're hiring a Pricing & Packaging Lead to own how Runway creates and captures value across all of it. You'll partner closely with our Self-Serve Product Lead to evolve our plans and credits, build the path from self-serve to enterprise, and set the pricing for every model we launch and every third-party model we serve. You'll build the pricing framework the rest of the company uses, and you'll be accountable for revenue growth, gross margin, and customer trust in equal measure. What you’ll do - Own self-serve pricing & packaging: partner with the Self-Serve Product Lead on our plan ladder and credit design, including allowances, rollover, top-ups, annual vs. monthly, and regional pricing. Run a continuous program of pricing and packaging experiments with Growth and Data. - Build the path to enterprise: design the triggers, team and workspace constructs, seat and credit-pool models, and commit and consumption contracts that move customers from self-serve to enterprise. Equip Sales with pricing playbooks, discount bands, and deal guardrails. - Create a company-wide pricing framework: publish Runway's pricing principles, value metrics, and decision process so any product team can price new features and products with confidence. Run a regular pricing council with Product, Finance, Research, and GTM. - Price our models: set launch pricing for every Runway model release, working with Research and Infrastructure on cost-to-serve. Define how model pricing evolves from launch through deprecation as inference costs change. - Own third-party model economics: set credit pricing and target margins for the partner models we serve, monitor competitive pricing, and work with Partnerships on vendor terms. Make per-model margin visible to the whole company. - Keep pricing changes trustworthy: own how we communicate every pricing change, from advance notice and in-product usage visibility to spend controls and customer FAQs. Changes should land as clearly as they were designed. - Build the team: hire and lead a small pricing team over time, and partner closely with billing engineering to turn decisions into systems. What you’ll need - 10+ years across pricing, monetization, strategy, or strategic finance, with 5+ years directly owning pricing and packaging decisions. A track record of moving revenue, conversion, and margin, not just producing recommendations. - Deep experience with usage, credit, or consumption-based pricing. You can build a cost-to-serve and margin model from compute and inference inputs, and you understand how hybrid seat + usage models behave in the wild. - Experience across self-serve and sales-led motions. You've shipped pricing changes for PLG subscription products and designed the contracts and guardrails that support enterprise expansion. - Rigorous and experimental. You're fluent in pricing experiments, willingness-to-pay research, and cohort analysis, and comfortable in SQL and financial models. - You thrive in an environment with rapid pace and a high accountability culture. You make decisions with incomplete information and know when a pricing call needs more data and when it needs to ship. - Excellent written and verbal communication. You can drive a decision across Product, Finance, Research, and Sales, and explain a pricing change to customers in a way that builds trust. - Bonus: pricing experience at an AI lab, AI-native product, API or developer platform, or creative tools company; experience pricing third-party or marketplace offerings. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC
Deployment Strategist - South Korea
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: - Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. - Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. - Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. - Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life. - Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact. - Scope out potential applications in new industries and expand our AI solutions across different sectors globally. - Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives. - Collaborate with our Research teams to feed field insights back into ElevenLabs' platform and models, helping shape the roadmap. - Build and deliver compelling demos of ElevenAgents and our broader AI technology to new and existing customers. - Collaborate daily with customers' engineering and executive teams to ensure agents reach production and deliver measurable business outcomes. Requirements - 3+ years of experience working with customers in a technical capacity. Direct enterprise customer experience is preferred. - Experience in product development, delivery, and change management - Commercial instinct: comfort engaging in deal conversations, structuring value propositions, and navigating enterprise sales cycles alongside GTM partners. - Basic proficiency in Python and familiarity with API integration, sufficient to prototype, demo, and communicate credibly with engineering teams. - Excellent communication and problem-solving skills; particularly the ability to simplify complex technical concepts and structure clear logic in pursuit of optimal solutions. - A proven track record of taking ownership of complex, ambiguous projects and delivering results. - Adaptability to work across different customer environments, industries, and technical use cases. - Technical aptitude and familiarity with common LLM, tooling and AI agent frameworks. - Ability to creatively map enterprise use cases and workflows to AI systems Location This role is remote-first, so it can be executed from anywhere in South Korea, with a preference of Seoul. Expect regular travel for customer onsite. Fluency in English and Korean and a deep understanding of the regional and cultural nuances is required. 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.
Head of Strategic Partnerships, Global Systems Int...
About Scale AI Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. The Role Scale is looking for a seasoned world-class leader and operator to architect and expand our partnership ecosystem and transform how Scale goes to market globally. This leader will build high-impact relationships with world-class partners, focused on professional services firms, to accelerate the development of AI applications with Scale. We are looking for a revenue-minded leader to own GSI-sourced and GSI-influenced pipeline. You should be able to set the strategy and also run the operating cadence it takes to turn alliance agreements into closed revenue: joint account plans, co-sell motions, practice building, and delivery enablement. You will source, evaluate, negotiate, and execute partnerships covering go-to-market, joint solutions, and delivery areas. This is a highly cross-functional role, as you will collaborate across internal teams including product, engineering, finance, legal, marketing and operations. You will - Define and deliver the strategy and roadmap for Scale's GSI partnership program, including partner selection, tiering, and investment priorities - Build trusted relationships with alliance leaders, AI practice leads, and C-level executives at top GSIs and consultancies - Structure and negotiate alliance agreements (e.g., resale, referral, co-sell, joint go-to-market, and delivery partnerships) and get cross-functional alignment on terms - Build joint account plans with GSI partners for Scale's priority Enterprise accounts and drive co-selling with Scale's sales teams - Help partners build Scale-certified practices: training, technical enablement, certification, reference architectures, and repeatable delivery playbooks - Co-develop industry-specific solutions and offerings with partners (e.g., financial services, healthcare, public sector, telecom) that solve high-value client problems - Design partner incentives, compensation alignment, and rules of engagement so Scale sales teams and GSI partners pull in the same direction - Generate significant top-of-funnel pipeline through the GSI channel, with clear accountability against Enterprise revenue targets - Bring partner and client feedback back to Product and Engineering so GSI delivery needs show up in the roadmap - Own post-signature execution: partner onboarding, delivery quality, joint marketing, and quarterly business reviews - Be measured on (1) GSI-sourced and influenced revenue, (2) number and quality of certified partner practitioners and joint wins, and (3) growth and health of the GSI ecosystem Ideally you’d have - 12+ years of experience in revenue-carrying business development, strategic partnerships, partner management, or similar roles at a technology company or payments company, with significant time spent managing GSI or major consultancy relationships (from the software vendor side, the GSI side, or both) - An existing network across alliance and AI/data practice leadership at major GSIs - A track record of building a GSI program that delivered measurable sourced and influenced revenue - Deep understanding of how GSIs make money, staff engagements, and choose which technologies to build practices around - Experience with enterprise AI, data, or cloud platform partnerships - Experience negotiating complex multi-party commercial agreements - Comfort working in a highly matrixed organization and influencing without direct authority - Entrepreneurial drive, comfort with ambiguity, and an analytical, data-driven approach to managing a partner business - Bachelor's degree required Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $134,400 - $168,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Senior GTM Recruiter
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the team The Talent Acquisition team works with SambaNova leadership to build the teams that take our full-stack AI platform to market, from the people who sell and market it to the people who make customers successful and shape the product roadmap. About the role We are looking for a Senior Recruiter to partner with our go-to-market and product organizations. You'll own full lifecycle recruiting across Sales, Marketing, Customer Success, and Product, working directly with hiring managers to define roles, calibrate pipelines, and close top talent in a competitive market. This is a 6-month contract with the option to extend or convert to a full-time position based on performance. Responsibilities - Partner with hiring managers across Sales, Marketing, Customer Success, and Product to define roles, write job descriptions, calibrate pipeline, and design interviews - Source passive talent through LinkedIn, referrals, industry events, communities, and targeted outreach across the enterprise software and AI ecosystem - Own full lifecycle recruiting for roles across Sales (AEs, SDRs, sales engineers, sales leadership), Marketing, Customer Success, and Product - Keep feedback loops tight across interviewers and stakeholders - Maintain accurate data in Greenhouse and track the metrics that matter Required Experience - 5+ years of recruiting experience focused on go-to-market and product roles, ideally in enterprise software, SaaS, or AI/infrastructure - Proven track record filling roles such as Account Executive, Product Manager, Product Marketing, and Customer Success Manager - Demonstrated success sourcing and closing passive talent - Existing network within the enterprise tech and GTM community - Ability to influence senior business leadership - Excellent creative writing skills - Strong organizational skills - AI fluency with the ability to enhance productivity and workflows - Proficiency with Greenhouse Base Salary Range: Base Pay Range $170,000 - $200,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Client Platform Engineer
About the Team OpenAI’s Client Platform Engineering team builds and operates the platforms that make employee devices secure, reliable, and easy to use. Our work spans device posture and trust, onboarding, application delivery, operating-system updates, fleet telemetry, and employee-facing remediation. We partner with Security, IT, Research, Applied, and specialized engineering teams to reduce friction while protecting OpenAI’s systems and data. About the Role As a Client Platform Engineer , You will build and own agentic solutions that automate OAI fleet operations and reduce employee friction, with measurable outcomes and reliability. You will develop first-party software, integrate commercial and open-source tools, and own changes from design and testing through deployment and production operations. Your work will improve security, reliability, and the employee experience. We’re looking for people who are passionate about automation, endpoint security, and building scalable solutions that improve employee experience. You should have deep experience securing and managing Linux fleets at scale, with strong software engineering skills to automate security controls and fleet operations across environments with different compliance requirements. Your problem-solving mindset and attention to detail will be key to success in this role. In this role, you will: Build the platforms that help employees do their best work on devices they can trust. - Own the design, development, deployment, and operation of secure Linux endpoint management systems across environments with different compliance requirements. - Create magical employee experiences by building agentic workflows with OpenAI products and models that use fleet telemetry to anticipate issues, guide remediation, and design friction out of everyday work. - Make new hires productive from day one, using OpenAI products to simplify device setup, software delivery, and onboarding support. - Build secure, reliable workflows with scoped access, human review for sensitive changes, traceable actions, and tested recovery. - Partner with IT, Security, Research, and Engineering to deliver consistent Linux provisioning, updates, and support alongside macOS and Windows. - Develop first-party software and integrate commercial and open-source tools for software packaging, deployment, and application management. - Manage fleet configuration as code through GitOps, version control, peer review, and automated validation. - Build and operate CI/CD pipelines for fleet infrastructure across Azure, AWS, and GCP, with staged deployments and tested rollback. - Use fleet telemetry to proactively improve performance and reliability, detect configuration drift, and verify deployment outcomes. - Participate in engineering on-call, own incident resolution, and turn operational lessons into lasting improvements that reduce recurring failures and manual work. You may be a fit for this role if you have: - Proficiency in Python, Go, or another modern programming language. - Deep experience securing and managing Linux fleets with configuration management, MDM, device enrollment, policy enforcement, and cloud identity integration. - Demonstrated success with open-source endpoint tools for configuration, device and application management, and telemetry. - Experience delivering secure, reliable, scalable systems across different compliance requirements. - Deep experience managing infrastructure at scale with IaC and GitOps, using tools such as Terraform, Ansible, and Chef. - Experience integrating and operating fleet infrastructure with CI/CD and DevOps workflows. - A track record of deploying and operating fleet infrastructure in public cloud environments (Azure, AWS, GCP). - Initiative, analytical judgment, and the ability to turn problems into practical improvements. You might thrive in this role if you have: - Deep experience with open-source fleet management tools and frameworks. - Experience with containerization technologies such as Docker and Kubernetes. - Familiarity with compliance frameworks such as SOC 2, ISO 27001, FedRAMP, and NIST. - Strong soft skills, including stakeholder communication and cross-functional collaboration. - Relevant professional certifications such as CISSP, CISA, CISM, CCSP. - A security thought leader with contributions to CPE open-source projects or technical communities. 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.
Enterprise Security Engineer, Vulnerability Manage...
About the Team Enterprise Security protects the systems, identities, devices, and services that enable OpenAI's employees to work securely and effectively. We partner across IT and Security to understand risk, build practical defenses, and support a rapidly evolving technical environment. About the Role We are looking for an Enterprise Security Engineer with a focus on vulnerability management, novel vulnerabilities, and zero-day response. You will investigate vulnerabilities and security weaknesses across networks, endpoints, and SaaS, prioritize them in the context of real exposure, and drive remediation through verified outcomes. You will also build security capabilities and automation, use AI agents to solve practical problems, and help shape how enterprise security operates as agents become a larger part of everyday work. This role is open to candidates in San Francisco, CA, and to remote candidates in the United States. In this role, you will: - Discover, investigate, and prioritize vulnerabilities and misconfigurations across enterprise systems, including novel vulnerabilities and zero-days with incomplete information and no established playbook. - Translate technical findings into clear attack paths, business impact, and actionable remediation. - Develop and validate emergency mitigations when patches are unavailable, coordinate with system owners, vendors, and incident responders, and drive durable fixes through verified closure. - Improve asset visibility, ownership, vulnerability data quality, and reporting. - Build and operate security tools and integrations using code, APIs, automation, and AI agents. - Design controls for agent access, execution, and accountability. - Contribute across endpoint, network, identity, and SaaS security, and support incident investigations when needed. You might thrive in this role if you: - Have independently investigated novel or emerging vulnerabilities and driven enterprise remediation from uncertain initial reports through mitigation and verified closure. - Bring technical depth in a relevant security domain and working knowledge across networks, endpoints, and SaaS. - Can understand and improve code and safely integrate APIs and security systems. - Have solved substantive problems using AI agents and can explain how you evaluated and corrected their work. - Think clearly about security tradeoffs, ambiguous evidence, and the changing risks of agentic systems. - Collaborate effectively, take ownership, and communicate technical risk to varied 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.
Safety Engineer (Back-End Leaning)
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. What you’ll do - Build safety systems: Design, develop, and scale automated moderation systems, abuse detection capabilities, and guardrails for AI agents across ElevenLabs’ products. - Respond to emerging threats: Partner closely with the Investigations team to identify emerging abuse patterns, understand evolving threats, and continuously improve existing safety systems, detection mechanisms, and guardrails to address new risks. - Own production infrastructure: Build and maintain a growing ecosystem of internal safety services, taking ownership of their architecture, deployment, reliability, monitoring, and ongoing operation. - Bring ML models into production: Partner closely with ML engineers to deploy and integrate fine-tuned and proprietary ML models into production safety systems, ensuring they operate reliably and efficiently at scale. - Build end-to-end solutions: Develop backend services, APIs, internal tools, and user-facing interfaces that enable effective moderation, safety operations, and policy enforcement. - Collaborate across teams: Work closely with Product, Legal, and Safety Policy teams to translate business, regulatory, and policy requirements into scalable engineering solutions. - Product: Understand and navigate the tradeoffs between product growth, user experience, and platform safety. - Legal: Translate legal and regulatory requirements into practical, scalable safety systems. - Safety Policy: Collaborate on how safety policies are implemented technically, while helping inform policy decisions through an understanding of engineering capabilities and constraints. - Shape our technical direction: Contribute to architectural decisions and help define how our safety infrastructure evolves as our products, users, and safety challenges grow. Requirements - 5+ years of software engineering experience building and operating production systems. - Strong backend engineering experience, including designing APIs, working with databases, and building scalable services. - Proficiency in Python and experience with modern backend frameworks. - Experience building and maintaining distributed systems and cloud-based applications. - Comfortable owning systems end to end, from technical design and implementation through deployment, monitoring, and ongoing maintenance. - Experience working across different parts of the stack, with the ability to build internal tools or frontend interfaces when needed. - Strong problem-solving skills and an ability to navigate ambiguous requirements and make pragmatic engineering decisions. - Ability to collaborate effectively with engineers and non-technical stakeholders across different functions. Bonus - Experience building Trust & Safety, content moderation, fraud detection, or abuse prevention systems. - Experience building guardrails or safety infrastructure for AI agents and LLM-based applications. - Experience deploying and integrating ML models into production applications. - Familiarity with Kubernetes, Docker, CI/CD pipelines, and cloud infrastructure (AWS/GCP). - Experience with monitoring and observability tools such as Prometheus and Grafana. - Experience with React or other modern frontend frameworks. - Experience with real-time data processing, event-driven architectures, or technologies such as Kafka and Redis. Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. 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.
Account Executive - Enterprise - Healthcare
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for an experienced, motivated Enterprise Account Executive to drive ElevenLabs’ growth across Healthcare: the health systems, hospitals, clinics, health plans, and life sciences companies people trust with their health and their families’ care. These organizations win or lose on trust and access at massive scale, under some of the most demanding regulatory standards anywhere. Our ideal candidate learns fast, closes well from a warm introduction, and is passionate about AI voice technology. You’ll act as a strategic partner to organizations reimagining how they serve patients, members, and clinicians, safely and at scale. In this role you will: - Focus on prospecting and landing net-new customers to expand the market footprint that ElevenLabs has in the Healthcare industry - Balance a diverse pipeline of large health systems that require a white-glove experience with community hospitals, clinics, and regional providers that require speed to close - Identify where conversational AI can drive growth, automation, or cost efficiency in patient-facing and internal workflows, such as scheduling and reminders, after-hours coverage, benefits and claims status, patient intake and outreach, and HCP support - Stay current on the conversational AI landscape, including competitive solutions, build-vs-buy dynamics, and emerging trends in healthcare AI governance - Develop and execute account strategies across the whole buying group (Patient Access and Contact Center Operations, Digital and Product, IT and Clinical Informatics, and Compliance, Privacy, Legal, and InfoSec), landing with one high-impact use case and expanding across facilities and service lines - Partner closely with Forward Deployed Engineers to solution high-impact use cases, manage a successful Proof of Value, scope integrations with the EHR, claims, and telephony systems customers already run, and set them up to scale in production - Partner closely with Legal teams to drive strategic, fast-moving negotiations, including BAAs - Serve as a trusted advisor on generative AI and voice, and share what you learn in the field to sharpen our Healthcare positioning, messaging, and references Requirements - 7+ years of quota-carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms - Healthcare experience (health systems, hospitals, payers, life sciences, health tech) is preferred but not required. We weigh demonstrated adaptability and fast ramp in a new industry heavily - Proven success closing six-and-seven figure deals and managing complex, multi-stakeholder sales cycles - Proven ability to take a warm introduction through discovery, Proof of Value, and procurement to close - Experience selling to both technical buyers (IT, product, and engineering) and business buyers (patient access, operations, digital), and to privacy and compliance gatekeepers, translating complex technology into business value - Adept at deeply understanding a customer’s business and translating ElevenLabs’ capabilities into solutions that deliver against their needs - Proficient in enterprise procurement, security review, and legal processes, including HIPAA, BAAs, and PHI data protection reviews, and able to work autonomously as a cross-functional partner - Strong executive presence, the ability to build relationships with senior executives, and willingness to travel frequently for onsite client visits and conferences - High EQ, self-aware, and curious. Low ego and hands-on, comfortable running your own prospecting and deals - Comfort in an early-stage, high-growth environment, where ambiguity is the norm and the state of play changes rapidly - Passion for voice and conversational AI and how it can unlock transformative value for customers Location This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. There is a preference for candidates to be based in New York or San Francisco, with the option to work out of our office. 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.
Member of Editorial Staff, Economics & Policy
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is working to build a rigorous, evidence-based understanding of AI's economic effects. We're hiring a writer focused on economics and policy to work on a growing portfolio that includes economic research reports, long-form essays, op-eds, and policy briefs. You'll spend much of your time working with economists and researchers, helping them explain their findings plainly. You’ll write for economists, policymakers, journalists, and the public. You’ll be on the Editorial team, which is responsible for shaping how Anthropic communicates. Our goal is to build understanding about the opportunities and challenges of transformative AI, and we work extensively with partner teams including The Anthropic Institute and our Policy team. In this role, you'll write about AI's effects on productivity and the labor market, the economics of compute, innovation policy, and regulation, among many other subjects, and you'll help decide which economic and policy questions Anthropic takes up next. You'll do this with an amazing vantage point on what is happening at the frontier. Key responsibilities - Work with our economists and researchers to write and edit Anthropic's economic research publications—including the Anthropic Economic Index, and new reports on how AI is affecting work, productivity, and growth. - Produce rigorous, readable work on the economics and policy of AI in whatever format the subject calls for, including research reports, long-form essays, op-eds, policy briefs, and blog posts. - Collaborate with Anthropic's economics researchers, Policy team, research scientists, and external economists and policy experts to translate complex findings into accessible public-facing content. - Engage with economists, policymakers, think tanks, academics, and media to advance productive conversations about AI policy and economics. You may be a good fit if you have - A demonstrated ability to write compellingly about complex economic and policy topics for broad audiences. - A body of published long-form writing on economics, policy, or technology, in any venue. - Quantitative literacy: you can read and explain an economics working paper. - Familiarity with how ideas circulate on social platforms like X, and a perspective on how arguments get traction. - Experience working closely with experts on their own material, earning their trust, and pushing them to make stronger, more defensible arguments. - Comfort engaging in policy debates while maintaining intellectual rigor and nuance. - Excitement about Anthropic's mission to develop AI that is safe and beneficial. Strong candidates may also have - Professional experience doing economic research or analysis, or editing data-heavy research publications. - Experience working with policymaking institutions (think tanks, government, advocacy organizations), and a working understanding of how Washington operates. - Direct experience on AI policy or technology policy issues. - A track record of influencing policy debates through writing and public engagement. - Published work on economic growth, labor economics, innovation economics, progress studies, regulatory policy, competition policy, or the economics of emerging technologies. - An audience of your own, ideally that you’ve built on your own. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
IT Support Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The IT Operations team keeps Anthropic running. We want every employee to do their best work without friction. We're hiring an IT Support Engineer who pairs strong technical skills with a service mindset and good judgment. Anthropic is growing fast, and IT needs to keep pace. That means onboarding at scale, automating repetitive work (including with Claude), and improving the day-to-day employee experience. You'll handle support across our mostly macOS environment and help with the operational work that lets us scale. You'll work closely with IT Engineering and Security, with room to grow into more technical infrastructure work over time. This isn't a scripted support role. You'll have real ownership, use your judgment to improve our processes, and grow with the team as we scale. Key responsibilities - Triage and resolve issues across hardware, software, networking, and accounts, mostly through our ticketing system, plus Slack and in-person - Diagnose and fix issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) - Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement - Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) - Handle escalations that need cross-team coordination - Join an on-call rotation for urgent issues outside business hours - Provide hands-on support for user technology, AV systems, conference rooms, and printers - Communicate clearly with users at every technical level - Write and maintain internal documentation, including runbooks, how-to guides, and knowledge base articles - Spot patterns in support requests, surface recurring issues, and flag opportunities to automate - Help streamline onboarding and other high-volume operations as we scale - Contribute to automation efforts - Maintain and improve device management, identity, and access systems - Write scripts (Bash, Python) to automate repetitive tasks Minimum qualifications - Hands-on IT support experience, ideally in a fast-paced environment - Experience supporting macOS endpoints, and comfortable supporting ChromeOS, iOS, and Android - Experience with Google Workspace administration - Experience with Slack administration, including workspace management, permissions, and troubleshooting - Experience supporting and administering other SaaS tools - Understanding of identity and access fundamentals: SSO, MFA, directory services - Familiarity with MDM fundamentals and endpoint management concepts - Basic scripting (Bash or Python) for automation - Strong troubleshooting skills, with a methodical and persistent approach - Clear communicator who enjoys helping people solve problems - Take ownership of problems and follow through until they're resolved Preferred qualifications - Familiarity with zero-trust security concepts and endpoint security tooling - Networking basics: DNS, DHCP, VPNs - Experience with IT projects beyond day-to-day support, such as migrations, tool rollouts, or process redesigns - Experience using AI tools to improve personal or team productivity - Interest in developing deeper technical skills and taking on more complex systems administration over time Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Account Executive - Enterprise - Insurance
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for an experienced, motivated Enterprise Account Executive to drive ElevenLabs’ growth across Insurance: the carriers, MGAs, and brokers people rely on when life gets expensive and complicated. These organizations win or lose on trust and service at massive scale, under some of the most demanding regulatory standards anywhere. Our ideal candidate learns fast, closes well from a warm introduction, and is passionate about AI voice technology. You’ll act as a strategic partner to insurers reimagining how they serve, sell to, and sound to their customers, safely and at scale. In this role you will: - Focus on prospecting and landing net-new customers to expand the market footprint that ElevenLabs has in the Insurance industry - Balance a diverse pipeline of large national carriers that require a white-glove experience with regional and mid-sized insurers that require speed to close - Identify where conversational AI can drive growth, automation, or cost efficiency in customer-facing and internal workflows, such as claims intake, policy servicing and renewals, billing and payment support, agent and broker support, and contact center coaching - Stay current on the conversational AI landscape, including competitive solutions, build-vs-buy dynamics, and emerging trends in insurance AI governance and regulation - Develop and execute account strategies across the whole buying group (Claims Operations, Customer Service and Contact Center, Distribution, Digital and Technology, and Compliance, Legal, and InfoSec), landing with one high-impact use case and expanding across lines of business - Partner closely with Forward Deployed Engineers to solution high-impact use cases, manage a successful Proof of Value, guide customers through security, architecture, and AI governance review, and set them up to scale in production - Partner closely with Legal teams to drive strategic, fast-moving negotiations - Serve as a trusted advisor on generative AI and voice, and share what you learn in the field to sharpen our Insurance positioning, messaging, and references Requirements - 7+ years of quota-carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms - Insurance experience (carriers, MGAs, brokers, insurtech) is preferred but not required. We weigh demonstrated adaptability and fast ramp in a new industry heavily - Proven success closing [six- and seven-figure] deals and managing complex, multi-stakeholder sales cycles - Proven ability to take a warm introduction through discovery, Proof of Value, and procurement to close - Experience selling to both technical buyers (product and engineering) and business buyers (claims, customer service, distribution, digital), and to compliance and risk gatekeepers, translating complex technology into business value - Adept at deeply understanding a customer’s business and translating ElevenLabs’ capabilities into solutions that deliver against their needs - Proficient in enterprise procurement, security review, and legal processes, including regulated-industry vendor risk, AI governance, and data protection reviews, and able to work autonomously as a cross-functional partner - Strong executive presence, the ability to build relationships with senior executives, and willingness to travel frequently for onsite client visits and conferences - High EQ, self-aware, and curious. Low ego and hands-on, comfortable running your own prospecting and deals - Comfort in an early-stage, high-growth environment, where ambiguity is the norm and the state of play changes rapidly - Passion for voice and conversational AI and how it can unlock transformative value for customers Location This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. There is a preference for candidates to be based in New York or San Francisco, with the option to work out of our office. 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.
Staff Forward Deployed Engineer
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 member of the GTM team at Anthropic, you will be a Staff Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers and leads the technical direction of their AI adoption. Customers bring you in to lead, not only to implement: you decide what should be built, and then make sure it gets built well. You will work with customer teams to ship advanced AI applications that solve real world business problems, and guide the architecture and advisory work that surrounds those builds across an account. Working closely with our Research, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and help shape our forward-deployed motion as it scales. We expect Staff FDEs to set direction under ambiguity and represent Anthropic at the highest level in customer environments. In this role, you guide architecture and build initiatives across workstreams, working directly with senior technical and business stakeholders and owning outcomes that span an account's roadmap. You don't need to have shipped agents to production. You do need deep experience building and operating production systems, hands-on time with agents, and the judgment to lead architecture and advisory work with enterprise customers. Responsibilities - Own technical strategy for a key account or vertical, in partnership with account and product teams. - Guide technical architecture and design decisions across multiple concurrent workstreams. - Lead discovery and advisory engagements independently, shaping scope and technical strategy before a build starts. - Lead engagements delivered with partners, setting the architecture and the quality bar for work you don't build yourself. - Review designs and unblock other FDEs on hard technical calls. - Represent Anthropic to senior technical and business stakeholders, including VPs and C-level, to align on strategy and de-risk delivery. - Own your engagements end to end: scope the work, sequence it, unblock it, anticipate security and procurement gates, and deliver production systems the customer can operate. - Work within customer systems to build production applications and agent components with Claude, and hand over systems the customer can run. - Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. - Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. - Travel frequently (25%) to customer sites to build in person with customers. - Be a champion for Anthropic's mission in the field. You May Be a Good Fit If You Have - Deep system design and problem decomposition skills: you can walk into a discovery conversation with only a business problem and leave with a defensible technical strategy for a secure, production-ready design inside a complex enterprise environment of legacy systems, with identity and access, and compliance requirements. - Experience in a senior technical, customer facing role such as Forward Deployed Engineer, or as a Tech Lead with consulting or product experience. Former technical founders are also encouraged to apply. - A track record as the person a team turns to on ambiguous technical calls, whether through architecture review, pairing, or informal mentorship. - A track record of directly influencing senior technical and business stakeholders, including VP and C-level, in complex organizations. - Extensive experience building and operating production systems. Hands-on experience with LLMs and agents is expected. Side projects and prototypes count. - Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc), experience shipping production applications, and everyday use of AI coding tools with the judgment to review and steer. - Experience leading advisory and architecture-review engagements as well as hands-on builds, and running them end to end. - High agency with an ability to navigate ambiguity present in complex organizations, and the learning velocity to pick up new domains and tools fast. - Passion for advancing safe, beneficial AI systems through creative technical applications. - A background in financial services, healthcare/life sciences, or another enterprise vertical are nice to have. 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: $280,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Recruiter, G&A
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We’re looking for a Recruiter to join our Talent team based in London to own full-cycle recruiting of our G&A functions (Policy, Finance, Legal, People, and related areas). This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You’ll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic’s values. You’ll work in a fast-moving environment where priorities shift, and you’ll have real ownership over the roles you run. We’re open to candidates whose strength is in G&A recruiting in your application, tell us where your experience is deepest across the functions. Key Responsibilities - Own full-cycle recruiting for a portfolio of G&A roles across EMEA—from intake through offer and close - Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies - Source and engage high-quality active and passive candidates, building diverse and competitive pipelines - Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic’s hiring bar - Manage candidates through the process with clear communication and a great experience at every stage - Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close - Use data to track pipeline health and share insight that helps hiring managers make good decisions Minimum Qualifications - 6+ years of full-cycle recruiting experience in G&A (Policy, Finance, Legal, People) with a focus on Policy hiring - Demonstrated ability to recruit in the UK and European market, with familiarity with local talent dynamics and employment norms - Track record of strong stakeholder partnership — building trust quickly with hiring managers in fast-moving environments - Comfortable operating with ambiguity: willing to flex between functions and contribute to building something new rather than running an established playbook - Proven ability to maintain quality under volume pressure — owns pipeline health, not just pipeline size - Self-starter who can work with significant autonomy while staying tightly aligned with global strategy - Genuine connection to Anthropic's mission and an understanding of why it matters in a recruiting context Preferred Qualifications - Experience recruiting at a high-growth technology, AI, or machine learning company - Experience recruiting across both G&A and GTM functions - Experience hiring across multiple EMEA markets, including the UK and Ireland - Familiarity with Greenhouse or similar ATS platforms - Additional European language skills relevant to hiring across the region 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: £105,000 - £145,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Director, Infrastructure Lease Accounting
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Director, Infrastructure Lease Accounting to lead technical accounting for our most complex infrastructure and energy arrangements — the data center leases and related structures underpinning our recently significant investment in American computing infrastructure. As we continue our rapid growth, you will ensure the financial statement accuracy of the most technically complex contracts we enter into. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic accounts for the highest-stakes arrangements underpinning our compute and energy portfolio. You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), and counterparty or joint-venture structures (ASC 810 VIE analysis). You'll work closely with Real Estate, Legal, Finance, and external auditors to ensure accounting implications are understood before commitments are made. Responsibilities - Serve as the technical accounting subject matter expert for Anthropic's most complex infrastructure arrangements, leading classification, measurement, and subsequent accounting judgments - Apply ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts - Apply ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities - Apply ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives - Lead technical accounting analysis and memo preparation for new arrangements, ensuring positions are well-reasoned, supported, and auditor-ready - Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made - Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on - Serve as a key point of contact with external auditors on technical accounting matters within your portfolio - Mentor accounting professionals across the Infrastructure Accounting team on technical accounting matters - Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of technical accounting work Minimum qualifications - Have 12+ years of progressive experience in accounting, with meaningful time in a technical accounting role - Hold a Bachelor's degree in Accounting or Finance; CPA required - Possess strong technical accounting knowledge of ASC 842 (leases), ASC 810 (consolidation, including VIE analysis), and ASC 815 (derivatives and hedging), applied to real arrangements - Have a track record of authoring and defending technical accounting memos on complex, judgment-intensive arrangements - Demonstrate strong analytical abilities and comfort working with large, complex contracts and datasets - Have a track record of improving scalable technical accounting processes in fast-moving environments - Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders - Communicate clearly and influence effectively across cross-functional partners — Real Estate, Legal, Finance, and Procurement - Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred qualifications - Background in a Big 4 technical accounting practice (SEC reporting / technical consultation) combined with industry experience - Experience at hyperscalers, utilities, or energy companies with meaningful PPA, REC, or commodity-arrangement exposure - Experience with renewable energy contracts, carbon markets, or related clean-energy accounting frameworks - Exposure to data center and compute-related infrastructure arrangements (including colocation, dark fiber IRUs, and equipment leases) - Experience with lease accounting software and derivative / hedge accounting systems at scale - SQL proficiency for querying and analyzing large contract and accounting datasets - Knowledge of AI/ML infrastructure and associated cost structures - Experience applying AI tooling (including Claude) to technical accounting research, memo drafting, or close automation - Proven ability to navigate ambiguity and drive results in rapidly changing environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Anthropic STEM Fellow
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. Program Overview Some of our world's grand challenges, from resolving long-open problems in mathematics to designing medicines for neglected diseases, require deep expert judgment that today's AI still lacks. We're working toward an AI scientist, a system capable of the long-horizon reasoning and experimental judgment needed to push the frontier on problems like these. We believe frontier AI, developed safely, can meaningfully accelerate progress across science and engineering. Getting there requires close collaboration with people who have spent years at the frontier of their fields. The Anthropic STEM Fellows Program brings researchers and experts from across science and engineering into Anthropic for four months to take on the grand challenges of their fields with Claude. Working in small pods of Fellows from related fields, you will pair deep domain expertise with our frontier models and internal tooling to define the hardest open problems in your discipline, build the datasets and simulations that let us test and train Claude on them, and find exactly where it falls short. We're looking for Fellows across science and engineering. Prior machine learning experience is helpful but not required. Scientific judgment and a willingness to learn quickly matter more. Our first cohort of more than 20 STEM Fellows across mathematics, physics, the life sciences, and engineering, ran from June to September 2026. The problems they built now feed Claude's training and one of our internal science evaluations. What to Expect: - A place in a small pod of Fellows working on related problems in your domain. Your pod meets weekly with Anthropic researchers to share methods, pressure-test ideas, and build on each other's work. - A grand challenge at the frontier of your field: an ambitious, open-ended problem scoped with our research team so you can make real progress in four months. - Access to frontier Claude models and internal evaluation tooling. Compensation: $100,000–$167,000 USD for the four-month fellowship (equivalent to $300,000–$500,000 USD annualized), and other benefits. Key responsibilities - Setting grand challenges for your field: identifying long-horizon open problems where Claude falls short of expert judgment, and defining what real progress on them looks like. - Building comprehensive datasets, simulations and rigorous, hard-to-game evaluations that test whether models can plan experiments, interpret data and reason about mechanisms, and systematically finding where they're confidently wrong. - Applying Claude to open problems in your domain, using test-time compute strategies and integrating the scientific tools and software your field relies on. Minimum qualifications - Are excited about the potential for AI to reason well about hard questions in their field where expert judgment matters. - Hands-on experience using Claude and Claude Code in your day-to-day workflow. - Hold a PhD in a STEM field and have several years of experience (eg post-doc or faculty). - Are comfortable working in a fast-paced, high-agency atmosphere for a few months and delivering concrete results. - Existing authorization to work in the United States for the duration of the program. Logistics - Fellows - The program runs from January 12th to May 8th 2027 , and is full-time for the duration; some fellowships may be considered for an extension. - Applications are open until October 28, 2026 , and we plan to make offers by November 20th. Later stages will typically include a take-home exercise and conversations with our research team about your research interests and possible project directions. - We ask that all Fellows attend a one-week in-person orientation in San Francisco. - The default location is in San Francisco. We will consider remote engagements within the United States in certain circumstances. - We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the United States. - This is a fixed-term contract position. Fellows are engaged through an employer of record, rather than employed directly by Anthropic. The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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