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Member of Technical Staff - Post-training (Data In...
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview As a Member of Technical Staff in Post-Training Data Infrastructure, you will build and own the pipelines that produce the post-training data for our large language models (LLMs), from SFT and RL data to synthetic and human-annotated data. You will work closely with researchers and annotation teams so they can iterate on data as quickly as they iterate on models. Key Responsibilities - Build and maintain data pipelines for SFT, preference, and RL post-training data. - Own dataset quality, versioning, and reproducibility. - Turn research data recipes into production-grade, reusable components. - Scale model inference for data generation and model-based grading. - Design data formats and schemas that keep post-training datasets consistent and efficient to train on. - Collaborate with researchers and engineers to make sure data pipelines keep pace with the needs of cutting-edge language models. Qualifications - Strong software engineering skills. - Experience designing and building large-scale data pipelines for machine learning, ideally for LLM post-training. - Track record of running distributed data processing and model inference at scale. - Good understanding of post-training methods (e.g., SFT, RLHF, DPO) and how data shapes model behaviour. - Excellent communication skills. This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We value diverse backgrounds and perspectives at Cohere Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.
Technical Program Manager, Inference
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add. We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas: - Scaling and infrastructure. Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online. - Velocity. The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform. - Inference engine. The software between the accelerator kernels and the routing layer that serves every request. - Performance. Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance. This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like. Key responsibilities - Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery. - Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path. - Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision. - Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps. - Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org. - Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams. - Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion. - Own inference readiness for model launches alongside our launch TPMs. Minimum qualifications - 7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it. - Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking. - A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly. - A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep. - The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers. - Strong written communication, including plans, reviews, and executive updates that many teams depend on. - Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit. - Care about Anthropic's mission and about serving frontier AI safely and reliably. Preferred qualifications - Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing. - Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform. - Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services. - Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity. - Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work. - Familiarity with Kubernetes-based orchestration and job scheduling. - Experience working with research teams and turning their needs into infrastructure requirements. - Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't. 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 - $435,000 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.
SDR 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. THE ROLE We’re hiring our first SDR Manager to help build Fireworks’ business development function from the ground up. You’ll lead, coach, and grow a team of SDRs who qualify inbound interest from developers and enterprises and prospect into high-value target accounts. Together, you’ll create the pipeline that drives our Account Executive team. This is a builder role. You’ll own the team’s performance and development while designing the playbooks, systems, and AI-powered workflows behind our top-of-funnel motion. We’re looking for a hands-on, first-line leader who gets results through great coaching. They should be fluent in AI tooling and process design, let data guide their decisions, and bring a “can do” attitude to every problem. They should be excited to define how sales development works at one of the fastest-growing companies in AI. KEY RESPONSIBILITIES - Hire, onboard, and lead a team of SDRs, scaling the team as Fireworks grows - Coach reps through regular 1:1s, call and email reviews, and hands-on skill development, building a clear path from BDR to AE - Own team performance across activity, conversion rates, meetings booked, pipeline generated, and quota attainment - Build repeatable playbooks for inbound qualification and outbound prospecting, including ICP, personas, messaging, and AE handoff criteria - Partner with Marketing to quickly convert inbound and product-led signals (signups, usage, events) into qualified opportunities - Design and deploy AI workflows and automations for account research, prioritization, personalization, and reporting, freeing reps to focus on high-value conversations - Continuously audit and improve SDR processes, from lead routing and follow-up speed to sequencing and handoffs, so the team operates efficiently at scale - Build dashboards and reporting that give the team and leadership clear, real-time visibility into funnel health - Use data to find bottlenecks, run experiments, and turn insights into action quickly - Work with Sales leadership and RevOps to align on target accounts, territories, lead routing, and pipeline goals MINIMUM QUALIFICATIONS - 2–4 years of direct, first-line management experience leading SDR/BDR teams - A proven track record of exceptional coaching and development, with reps promoted into AE or leadership roles and teams that consistently hit or exceed targets - Strong AI tooling and process skills, with hands-on experience building AI workflows that measurably improved sales productivity (e.g., Clay, AI agents, LLM-based prompts and automations) - A data-driven “can do” mindset: you dig into the numbers, spot what’s broken, and fix it yourself rather than waiting for a solution - Experience managing team performance through metrics, funnel analytics, and pipeline forecasting - Prior experience as an individual contributor in sales development or a closing role - Excellent communication and organizational skills, and comfort engaging technical buyers PREFERRED QUALIFICATIONS - Experience building a sales development function from scratch at a high-growth startup - Background in AI, developer tools, cloud infrastructure, or other technical SaaS - Experience with both high-volume inbound and targeted outbound motions - Fluency with a modern GTM stack (e.g., Salesforce, Outreach, Apollo, LinkedIn Sales Navigator, Gong) - Passion for developing early-career sales talent and an active interest in the AI/ML space Fireworks AI’s goal is to provide competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided. 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.
Partner Account Manager, AI-Native/Boutique SI Par...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partner Account Manager for AI-Native and Boutique SI Partners at Anthropic, you will own the relationship with a portfolio of our key AI-native and boutique systems integrator partners. These are the specialist services firms enterprises turn to when they want to design, build, and deploy production-grade AI with Claude, and they are among the fastest-moving partners in our ecosystem. Your job is to turn each of those relationships into a growing joint business: a shared plan, a healthy pipeline, and customers in production. This is a commercial role first. You will build joint business plans with partner leadership, work with your partners' sales teams on live opportunities, team up with Anthropic's Partner Sales team to bring those partners into the right accounts, and keep a clear, accurate view of how each partner is performing. You will work closely with our Partner Sales, Partner Programs, Partner Support, Partner Activations, and Partner Success teams so your partners get the full value of what Anthropic offers, and you will bring what you hear from partners back to those teams. This role reports to the Head of Boutique & AI-Native SIs and works closely with sales, product, and applied AI teams to make sure our SI partners are equipped to win and deliver transformative AI solutions for their clients. Responsibilities Partner Development and Go-to-Market - Own and manage relationships with a portfolio of key AI-native and boutique SI partners, from practitioners through to founders and executive leadership - Develop and execute joint go-to-market strategies that drive partner-sourced and partner-influenced pipeline - Lead partner business planning, including setting mutual goals, identifying target accounts, and defining success metrics - Work directly with your partners' sales teams to identify opportunities and support deal progression - Partner closely with Anthropic's Partner Sales team, who lead introductions and co-sell with our account executives and account teams, so your partners are positioned on the right accounts and opportunities - Run a regular operating cadence with each partner, including business reviews against the joint plan Cross-Functional Partnership - Work hand in hand with Partner Sales as your primary go-to-market counterpart. You own the partner relationship and the joint business plan; Partner Sales works with Anthropic's sales leaders, account executives, and solutions architects to bring your partners into deals at the right time with clear roles, and owns co-sell execution and the partner-linked pipeline and forecast - Work side by side with Partner Success Leads on the partners you share. You own the overall partner relationship and the commercial plan; the Partner Success Lead owns each customer engagement from partner match to completed outcome, including delivery quality and the customer's Claude usage - Build executive-level trust with each partner's practice and delivery leadership together with Partner Success, so that when an engagement needs the partner to restaff, escalate, or invest, the ask is taken seriously - Align with Partner Success on how each partner's Claude practice is growing, including certified bench depth, a repeatable offering in a chosen industry lane, and published customer stories, and carry that into the joint business plan and go-to-market - Bring the commercial view to the quarterly practice reviews Partner Success runs with each partner, so the partner hears one set of joint goals across pipeline, completed engagements, customer adoption, and certified practitioners - Keep the handoffs clean: with Partner Sales when a partner deal closes, and with Partner Success when an engagement is matched to one of your partners, so both teams have what you know about the partner's strengths, capacity, and proof points - Work with Partner Programs to help your partners understand and progress through Claude Partner Network tiers, requirements, and benefits - Work with Partner Activations to bring your partners into the customer engagements where they can have the most impact - Work with Partner Support to get partner questions and issues resolved quickly, and to spot patterns worth fixing at the source - Work with Partner Enablement so partners have the training, certification pathways, and technical resources they need to build and deliver with Claude - Serve as the voice of your partners inside Anthropic, informing program, enablement, and product priorities Partner Operations and Performance Tracking - Maintain accurate tracking of partner-sourced and partner-influenced revenue using our existing systems, tools, and processes, including deal registration and CRM discipline - Keep partner performance dashboards and reporting current, and use them to run partner reviews and internal updates - Follow our standard operating procedures for partner activities, and help keep them documented and up to date - Maintain partner data integrity and consistent measurement across your portfolio - Track KPIs for each partner and for the overall health of your portfolio - Assess partner contribution, engagement, and growth potential using established frameworks, and recommend where Anthropic should invest - Track and report the return on partner investments such as funding and enablement, and give Partner Success your recommendation on funding requests from your partners - Identify opportunities to improve how we work with partners and bring them to the teams that own those programs You may be a good fit if you have - 5+ years of experience in partner development, channel management, or partner management - Demonstrated success driving revenue through partners, with pipeline and bookings results you can point to - Experience working with systems integrators, consulting firms, or similar enterprise-focused services partners - Strong business acumen, with the ability to support deal progression and navigate complex partner relationships - A commercial orientation: you are a business driver first and a relationship manager second, and you are comfortable asking a partner to invest in its own capability - Strong analytical skills, with experience tracking KPIs, working from dashboards, and using data to decide where to spend your time - Outstanding communication and relationship-building skills at all levels, from partner practitioners to founders and executives - A track record of working well across functions to get things done for partners without owning every team involved - Experience with CRM systems and partner relationship management tools - Comfort with ambiguity and a fast-changing environment - Low ego, high curiosity, and a habit of making the people around you better - Willingness to travel to support partner relationships and joint customer engagements Strong candidates may also have - Experience in AI, cloud platforms, or other high-growth technology categories where partner enablement and technical differentiation are critical - A background working at or with AI-native services firms, boutique consultancies, or systems integrators - An understanding of how boutique services firms run, including how they staff, price, and fund a new practice - An understanding of enterprise sales cycles and how partners influence complex, multi-stakeholder deals - Hands-on familiarity with Claude, Claude Code, and how enterprises build and deploy LLM applications - Experience at a high-growth company where the program was still being built - Passion for AI and an understanding of how enterprises are adopting AI technologies The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $215,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Research Engineer, GPU Performance
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the Role As a Research Engineer, GPU performance , you will sit at the heart of that spectrum: your low-level work directly determines how fast our frontier models can be trained and served. Working hand-in-hand with Research Scientists, you'll make every GPU count. Mistral AI is hiring an expert in pushing large language model's GPU utilization and performance to their limits.. In this role, you will own the performance of our models end-to-end: writing the low-level code that extracts the maximum capacity from high-end hardware, and rethinking model architectures so they run efficiently at scale. What You Will Do - Develop low-level code that takes full advantage of high-end GPUs and maxes out their capacity — from custom kernels to memory-layout and communication optimisations. - Rethink parts of the generative model architecture to make them more suitable for efficient inference, in collaboration with Research Scientists. - Integrate low-level efficient code into a high-level MLOps framework , so that optimisations benefit every training run and deployment rather than a single experiment. - Profile, benchmark and squeeze performance out of large-scale training and inference on thousands of GPUs. - Model LLM execution on various GPUs with high fidelity to assess hardware usage and build serving performance estimates. What We're Looking For - High technical competence for writing custom low-level kernels and pushing GPUs to their limits. - High expertise in the distributed computation infrastructure of current-generation GPU clusters. - Overall understanding of the field of generative AI ; knowledge of, or interest in, fine-tuning and using language models for applications. - Strong software-design instincts: testing, code review, CI/CD. - Self-starter, low-ego, collaborative. 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 .
Partner Applied AI Engineer - LATAM
About the Team The Partner Applied AI Engineer team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership. As a Partner Applied AI Engineer, you’ll support systems integrators and their most strategic customers transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models. About the Role We are looking for a driven solutions leader with a product mindset as one og the the founding Partner AIE to own the technical engagement with our systems integrators (including GSIs, RSIs, and boutique SIs) and ensure their customers achieve tangible business value with GenAI. You will help partners identify high-value use cases and provide technical enablement through the implementation of AI solutions. Your efforts will accelerate partners’ time to unlock distribution and adoption, ensuring they deliver exceptional results for our joint customers while maintaining high-quality standards. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Solutions Architecture. This role is based in São Paulo . 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: - Deeply embed with GSIs, RSIs, and boutique SIs as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API for their customers. - Work with senior SI and customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap. - Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance. - Forge and manage relationships with SI and customer stakeholders to ensure the successful deployment and scale of their applications. - Codify solution packages and architectural patterns to accelerate time to deployment for customers and partners. - Lead technical support during partners' initial projects to ensure successful implementations and mentor their technical teams towards self-sufficiency in delivering OpenAI-powered solutions. - Scale the Partner Solutions Architect function by sharing knowledge, codifying best practices, contributing resources to our open-source repositories, and publishing resources to internal and external knowledge bases. - Validate, synthesize, and deliver high-signal feedback to the Product and Research teams. You might thrive in this role if you: - Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations. - Have led complex technical projects and programs with many stakeholders, ideally within or through an SI. - Have industry experience in programming languages like Python or Javascript. - Have led complex implementations of Generative AI and/or traditional ML solutions. - Have built and/or delivered prototypes using the OpenAI API. - Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders. - Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. 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.
Director, Software Engineering
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: The Director of Finance Systems Engineering is a technology and engineering leader responsible for delivering and evolving systems that enable critical Finance capabilities. Reporting to a Senior Director in IT, this role will lead teams responsible for enterprise planning and forecasting platforms, custom-built Finance solutions, and SaaS applications that complement the core SAP ERP ecosystem. The Director will lead a multidisciplinary team that includes planning model builders, systems analysts/product owners/TPMs, and software engineering professionals. This leader will partner closely with Finance to translate business priorities and transformation objectives into scalable technology solutions that simplify processes, improve decision making, and enable greater use of data, automation, AI, and machine learning. A key responsibility of the role is strengthening the team’s ability to connect Finance domain expertise with specialized data and machine learning capabilities, enabling Finance to translate its AI and ML objectives into scalable solutions. The successful candidate will combine strong engineering and people leadership with Finance domain knowledge and experience across enterprise planning platforms, custom software development, SaaS solutions, integration architectures, data, and AI/ML technologies. What you'll be doing: Finance Systems Leadership & Business Partnership - Lead multidisciplinary teams responsible for planning and forecasting platforms, custom Finance solutions, and Finance-related SaaS applications. - Partner with Finance leaders to understand business priorities and translate Finance transformation objectives into technology strategies, roadmaps, and solutions. - Own the technology portfolio and multi-year roadmap balancing business priorities, technical debt, platform lifecycle, and operational sustainability. - Establish engineering and product practices that balance speed, business value, user experience, scalability, reliability, security, and maintainability. - Develop strong partnerships with Enterprise Architecture, Data Engineering, ML Engineering, Integration, Infrastructure, Cybersecurity, and other technology teams to deliver cohesive end-to-end solutions. - Manage strategic technology vendors and implementation partners to ensure successful delivery, operational excellence, and continuous innovation. - Build and develop a high performing organization across model building, systems analysis/product ownership, and software engineering disciplines while fostering a culture of accountability, collaboration, innovation, and continuous learning. Planning, Finance Applications & Software Engineering - Provide technology leadership for enterprise-scale financial planning, budgeting, forecasting, and scenario-modeling solutions used across Finance. - Lead the engineering, maintenance, and support of custom applications and services that address Finance-specific business requirements. - Provide leadership for Finance SaaS applications adjacent to the core SAP ERP ecosystem. - Ensure Finance solutions integrate effectively with SAP and the broader enterprise application and data ecosystem while maintaining appropriate architectural standards and controls. AI, ML and Data Enablement - Partner with Finance leaders to identify opportunities where data, AI, and machine learning can improve planning, forecasting, financial analysis, automation, and decision making. - Assess capability gaps and establish development plans, role expectations, and ways of working that prepare the Finance Systems Engineering organization to collaborate effectively with Data Engineering and ML Engineering teams. - Enable teams to translate Finance business problems and domain knowledge into well-defined data, AI, and ML use cases. - Partner with specialized technology teams to incorporate enterprise data, predictive models, and AI/ML services into Finance applications and business processes. - Define how Finance Systems Engineering will evaluate, adopt, and govern AI and ML capabilities available through enterprise applications, internal data and ML platforms, and approved external services. - Help drive adoption and operationalization of AI/ML capabilities within Finance while ensuring alignment with enterprise architecture, data governance, security, privacy, and technology standards What we're looking for: - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience. - 10+ years of progressive experience leading enterprise application or software engineering organizations in a large enterprise environment, including accountability for multidisciplinary teams, technology delivery, and operational performance. - 5+ years leading through managers, including responsibility for organizational design, talent development, performance management, and succession planning. - Demonstrated experience building and leading multidisciplinary teams across software engineering, enterprise applications, planning applications, systems analysis, product ownership, and technical program management - Experience leading enterprise scale financial planning, budgeting, forecasting, and scenario-modeling platforms, including responsibility for platform strategy, delivery, lifecycle management, and operational performance. - Strong understanding of Finance processes, particularly financial planning, budgeting, forecasting, and related Finance operations. - Demonstrated ability to partner with senior business leaders, translate business and transformation objectives into technology strategy and execution, and own multi-year portfolio roadmaps that balance business priorities, technical debt, platform lifecycle, and operational sustainability. - Strong understanding of software engineering, enterprise architecture, integration, data, and cloud concepts. - Demonstrated ability to develop technical talent and build new capabilities within an engineering organization, including preparing teams to partner effectively with Data Engineering and ML Engineering and to operationalize data, AI, and machine learning capabilities. - Strong executive communication, stakeholder management, and cross functional leadership skills. Preferred Qualifications - Experience with one or more enterprise-scale planning and forecasting platforms, such as Anaplan, Workday Adaptive Planning, or SAP Analytics Cloud, including solution design, model governance, integration, or platform administration. - Experience leading software engineering teams building custom enterprise solutions using Golang, Java or comparable programming languages. - Experience with event-driven and streaming architectures and enterprise integration patterns. - Experience leading a portfolio of Finance SaaS solutions, such as Coupa, Rightsline, or comparable platforms, including vendor management, integration, lifecycle planning, and operational governance. - Experience with SAP S/4HANA and integration of Finance applications and services with the core ERP environment. - Experience in jointly delivering production AI or machine learning capabilities with Data Engineering and ML Engineering teams, including integration into enterprise applications or business processes. - Understanding of how AI and machine learning can be applied responsibly to Finance use cases, including forecasting, predictive insights, anomaly detection, decision support, and process automation, with attention to data governance, security, privacy, and enterprise technology standards. - Experience supporting technology enabled Finance transformation within a large, global organization. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Senior Data Engineer
Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview: Join our Central Analytics team to build AI-powered tools and scalable data solutions that simplify analysts' daily work and drive game growth. Work alongside experienced Analytics Engineers, partnering closely with game and marketing analysts to turn automation opportunities into impactful solutions. We're looking for someone who learns quickly, embraces new technologies, and thrives in a collaborative, fast-paced environment. What will be your main tasks working with us? - Design, build, and maintain end-to-end AI pipelines and agentic workflows that automate analytical tasks and streamline analysts' daily work. - Develop scalable AI-powered tools and applications , integrating LLMs with internal data sources, APIs, and analytics platforms. - Build reusable Python frameworks and services , ensuring AI solutions are reliable, maintainable, and scalable across game and marketing analytics teams. - Design and maintain data pipelines and cross-game data marts , using Python and SQL to deliver clean, reliable, and accessible data. - Partner closely with analysts to identify automation opportunities, develop practical solutions, and drive the adoption of AI tools and engineering best practices. Why should you join us? - We are committed to continuous improvement, so you'll never stop learning. - We are a collaborative team that learns from each other every day. - We run large-scale production pipelines spanning ETLs, analytical tools, and AI/ML models. - We focus on delivering innovative solutions to real-world problems. Requirements - A bachelor's degree in a quantitative field (e.g., Engineering, Computer Science, Mathematics, Statistics, or Physics). - Advanced SQL skills, including experience with CTEs, query optimization, and large-scale data warehouses. - Advanced experience building and maintaining production data pipelines using tools such as Airflow, Docker, S3, and CI/CD workflows. - Hands-on experience integrating LLMs or developing generative AI tools and workflows. - Advanced Python skills for developing production-ready data and analytics solutions. - A collaborative team player who builds trust, communicates openly, and contributes to shared success. - A fast learner who is proactive and comfortable working with ambiguity. - Detail-oriented, with a strong commitment to accuracy and high-quality outcomes. - Pragmatic, with the ability to balance short-term delivery needs with long-term technical quality. Nice-to-haves - Experience in the mobile gaming industry. - Experience in marketing analytics. - Experience creating and maintaining dashboards in Tableau or a similar BI tool. What's in it for you as a Socialpointer? - Hybrid working from home/office system. So, what does this mean? All we ask is that you live within commuting distance of our office in Barcelona so you are able to come into the office for important meetings/events. - Relocation support to help you move to Barcelona (if you’re not already here). - An impressive 25 days annual leave, not including public holidays. - 5 additional days annual leave on Christmas. - A very generous ticket-restaurant to restore some life-points. - Private medical insurance for you and your family, to keep your health bar full. - Choose from the latest IOS or Android device upon joining (phone or tablet). - Free language lessons (English & Spanish ). - Spotify Premium to add that special soundtrack that every adventure deserves. - Legendary social events & parties to let off some steam. - Players develop…Oops, sorry! People development is key for us: an amazing budget just for you to spend skilling up your abilities & knowledge to achieve real growth opportunities! Coming to work in the office? Don’t worry - we have you covered. Check out some of our onsite benefits: - Want to stay in shape? We have state of the art gym facilities so you can level up your build stats. - A massive gaming room equipped with all consoles and games you could ask for. - Book an appointment with our onsite physiotherapist for your aches and pains. - Drop by our onsite hairdressers for a trim (and forget your wallet; it's a Guild perk). The list just goes on & on... so get your game on & apply now! Please click “apply” to level up and submit your application in English. We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at accommodationrequest@zynga.com to request any accommodations or for support related to your application for an open position. Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, take2games.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).
Research Manager - Post-Training for Agents
As a Research Manager within Datadog AI Research (DAIR), you will lead a team working on fundamental research in post-training and autonomous agents while remaining deeply engaged in the technical direction of the work. You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems. You will provide technical leadership to a team of researchers and research engineers, mentor and develop highly technical talent, shape research direction, and collaborate with Datadog’s product and engineering teams to translate research advances into products. This role is designed for an exceptional researcher or technical leader who wants to maintain a strong hands-on research identity while developing and leading a high-performing team. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: - Lead research in agent post-training and reinforcement learning, setting the technical direction for ambitious research programs grounded in observability and security - Guide and mentor researchers and research engineers while remaining closely involved in research strategy, experimentation, model development, and technical problem-solving - Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments - Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement - Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable Datadog capabilities - Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks Who You Are: - You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as reinforcement learning, AI agents, post-training, or generative modeling - You have demonstrated the ability to lead technically ambitious research at meaningful scale, whether in an industry research lab, startup, academic environment, or another research setting - You have extensive hands-on experience designing or implementing reinforcement learning systems, agent training methods, simulated environments, synthetic data pipelines, or evaluation frameworks - You have a track record of research impact through influential publications, significant model or system contributions, widely used research artifacts, or equivalent technical achievements - You have operated at a senior technical level and have experience leading, mentoring, and developing teams of researchers or engineers, while remaining deeply hands-on in technical direction and execution - You want to develop and support a research team while maintaining a strong technical identity, and you can communicate complex research findings effectively across technical and non-technical audiences Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits and Growth: - Competitive global benefits - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris - Opportunity to attend and present at conferences and meetups - Intra-departmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $244,000 - $305,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
Senior Customer Engineer AI/ Start Up's
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations - San Francisco, US - We are only considering locally based candidates OR candidates looking to move to the Bay Area. - Senior Customer Engineer - (AI & Start-Ups) - For San Francisco based hires: Estimated annual salary of $213,500 – $335,500 OTE, Base + Commissions. - About the Role Digital Native SEs at Cloudflare work with the most innovative and cutting-edge companies on the planet — the startups and high-growth, cloud-native businesses that are building the next generation of Internet products. These are companies where the developers are the decision makers, and where the CTO is often personally responsible for shipping new products and getting the company's AI initiatives off the ground. This role is for a technologist who genuinely enjoys being in the room with builders. You'll be equally comfortable jumping into a Slack channel with a founding engineer, whiteboarding an architecture with a lead developer, and stepping into a strategic conversation with a CTO about their platform and AI roadmap. You speak the language of engineers fluently and can hold a credible, detailed technical conversation — but this is not a software developer role, and you won't be writing production code every day. Your superpower is technical discovery, translation, and evangelism: understanding what a builder is trying to accomplish, mapping it to the full breadth of the Cloudflare Developer Platform, and inspiring teams to build on Cloudflare rather than just consume a single service. The Digital Native segment leans heavily on Solutions Engineering to lead technical discovery within the cloud-developer vertical. You'll be expected to go deep on the Cloudflare Developer Platform — Workers, Durable Objects, Workers AI, R2, KV, D1, Vectorize, Queues, Pages, and the broader developer ecosystem — far beyond basic storage, and to make the case for Cloudflare as the place to build. This role covers both the acquisition of new Digital Native accounts and the expansion of existing ones. The ideal candidate is a "builder" personality with a strong mix of pre-sales/technical customer-facing experience who thrives in an agile, fast-moving environment. What you'll do as a Senior Solutions Engineer The Pre-Sales Solution Engineering organization owns the technical sales of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solution Engineering is made up of individuals from a wide range of backgrounds including but not limited to Sales Consultants, Technical Consultants, Technical Support and Program Managers. You are a customer-facing technologist within the Cloudflare Solutions Engineering team, focused on the developer-first, digital-native segment. You have experience in a pre-sales or other technical customer-facing role, and you're at your best when engaging directly with engineering teams and technical founders. In this role you'll partner closely with the sales team from the very start of the cycle — joining early discovery calls, qualifying opportunities from the get-go, and embedding yourself in customer Slack channels and working sessions. You'll lead technical discovery, deliver compelling demos and architecture discussions, run proof-of-concept builds, and evangelize the Cloudflare Developer Platform as the foundation for our customers' next products and AI initiatives. Responsibilities Specifically, we are looking for you to: - Lead technical discovery within the cloud-developer vertical — asking the right questions to uncover how a customer builds, what they're trying to ship, and where Cloudflare fits. - Engage early and often: join sales-led discovery calls from the outset, help qualify deals from the get-go, and stay embedded with customer teams (including in their Slack channels and working sessions) throughout the cycle. - Identify and map customer initiatives and business problems — especially around new product development and AI initiatives — to the Cloudflare platform. - Build relationships and technical champions within customer accounts, from founding engineers and developers up to the CTO. - Develop and present tailored technical content and demos for both hands-on developer audiences and senior technical leadership. - Lead demo and proof-of-concept / build activities for Cloudflare prospects and customers. - Evangelize the Cloudflare Developer Platform (Workers, Workers AI, Durable Objects, R2, D1, KV, Vectorize, Queues, Pages and more) — making the case for customers to build on Cloudflare, not just use it for storage or CDN. - Demonstrate your expertise with your peers through the creation of professional content, including reference architectures, demos, blog posts and other knowledge-sharing activities. - Represent and evangelize Cloudflare externally at Developer, Community, Technology and Industry events with thought leadership and expertise. - Apply in-depth vertical knowledge or domain expertise. Advise on best practices. Desirable Skills, Knowledge, and Experience - Previous experience as a Solutions Engineer or other customer-facing technical role, ideally selling to or working with developer-led, cloud-native, or startup organizations. - A genuine "builder" mindset and the personality to match: you enjoy talking to developers, you're curious, and you naturally gravitate toward technical problem-solving conversations. - The ability to speak engineers' language credibly — you can hold your own on architecture, APIs, and platform design — without this being a hands-on, code-every-day developer role. - Strong technical discovery instincts: you know how to draw out requirements, qualify fit early, and separate real needs from noise. - A good mix of pre-sales / technical sales experience and comfort operating in an agile, fast-moving environment (joining Slack channels, iterating quickly, engaging in early-stage calls, and qualifying deals from the start). - Solid communication, written and presentation skills, with the range to talk to both a hands-on developer and a CTO in the same day. - Ability to work on several projects and activities concurrently. - Highly driven, curious, team-oriented, and able to work with a sense of urgency. - You've built web applications before, or contributed to existing web applications in a meaningful way — enough to have real empathy for how developers work. - Polished communication and executive presentation skills with the ability to drive a discussion with a broad range of stakeholders (from the web developer to the CTO/CISO). - Relationship building: a proven track record of building deep technical relationships with engineers and technical founders. Experience managing various stakeholder relationships to build consensus on technical solutions/projects. - Experience managing technical sales within accounts, including developing champion-style relationships, driving technical wins, and assisting with technical validation. - Bachelor's Degree or equivalent in relevant work experience. - The role requires up to 50% travel to attend meetings with prospects or customers, attend conferences and other industry events, and to collaborate with your Cloudflare teammates. A deep understanding of the Cloudflare Developer Platform and core industry components (and a desire to learn more): - The Cloudflare Developer Platform — serverless compute and application development with Workers, Durable Objects, Workers AI, R2, KV, D1, Vectorize, Queues, and Pages. Familiarity with building or architecting applications on a serverless/edge platform is a strong plus. - AI/GenAI application patterns — inference at the edge, RAG, vector databases, and how startups are operationalizing AI initiatives. - HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), and serverless application development. - Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP. - Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management. - Zero-trust network access (ZTNA & SASE) concepts including identity management and authentication. - Cloud computing technologies such as AWS, GCP, Azure and others. - Some scripting or programming familiarity with one or more of JavaScript/TypeScript, Python, Golang, BASH — enough to read code, build a demo, and converse with engineers (not to ship production software). - Understanding of, or experience with, regulatory requirements such as FedRAMP, GDPR, PCI DSS, HIPAA, SOC-2, ISO/IEC. - An undergraduate degree in Computer Science, Engineering or a related field. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome. - You can translate technical concepts and jargon for a wide variety of audiences: from systems engineers, to front-end developers, through to technical founders and C-levels. - You want to be constantly learning new things and teaching what you've learned to the broader team through internal and external blog posts, team demos, and product training sessions. - You have a knack for understanding problems and finding creative ways to solve them. Our product suite is ever-growing, and knowing how to identify which parts will solve a customer's particular problem is important. - You understand how to manage a project, work to deadlines, and prioritize between competing demands. - Compensation Compensation may be adjusted depending on work location. - For San Francisco based hires: Estimated annual salary of $213,500 – $335,500 OTE, Base + Commissions. - Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Software Engineer, AI Agents
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Software Engineer, AI Agents Location: India, Bangalore Exp: 5 - 10yrs Why This Role Matters At Cloudflare, we're building industrial-scale AI agents that support customers directly. This isn't research theater. Your code will power real customer interactions from day one, at global scale. Cloudflare already has the parts. You will assemble Workers, Durable Objects, KV, R2, D1, Vectorize, Workers AI, AI Gateway, and the Agent SDK into real agents customers use every day. Role Intent Ship production agents on the Cloudflare stack. Build, deploy, learn, repeat. Your code is the front door for Cloudflare customers. What You Will Do - Build agents on Workers with Durable Objects for state and short term memory - Wire tools with the Agent SDK, MCP, and function calling - Use Vectorize, KV, R2, and D1 for semantic memory, cache, files, and config - Run models through Workers AI and AI Gateway; integrate third parties when needed - Create evals, guardrails, and audits. Measure, tune, re-ship fast - Build agents that summarize, propose fixes, and escalate cleanly to humans - Expose agent health and metrics in transparent dashboards. No mystery boxes - Integrate with queues and webhooks; publish events on Queues or Pub/Sub - Cut cost per case and time to first response. Prove it with data. - Take end to end ownership including on call for what you ship (with team support) - Design and maintain robust observability for distributed AI workflows, implementing structured logging and end-to-end tracing across async service boundaries to ensure visibility into agent reasoning and execution. - Architect security boundaries for agent-led operations; implementing secure credential handling, multi-layer approval gates, and fine-grained trust scoping for mutative actions. Must Have - Demonstrated success shipping production systems. Repos and releases that show real work. - Strong in TypeScript or Rust on Workers. HTTP, queues, async, performance - Fluency with Durable Objects, KV or R2, and either D1 or Postgres - Hands on with model tooling. Prompt I/O, tool calling, evals, safety checks - Observability mindset. Logs, traces, metrics, redlines - Experience with a2a/multi-agent frameworks - Experience developing LLM evaluation frameworks; automated scoring systems, CI-integrated quality gates. - Bias for simple, scalable designs Nice to Have - Workers AI, AI Gateway, and Vectorize in production - Salesforce or Service Cloud experience. Webhooks and case APIs - Security depth. Prompt injection protection, secrets detection, PII handling - OSS agent frameworks. Know what to borrow and what to throw away. How We Build - Align fast on what matters. - Divide and conquer. Own your piece. - Ship. Watch customers use it. - Learn and repeat. Why Join Cloudflare in India? Impact at global scale: Your code will serve Cloudflare's customers across every region. Tens of millions of Internet properties depend on us. Work on the edge: Few companies give engineers the chance to build AI directly into an edge platform that runs in 300+ cities worldwide. Career growth: As one of the early engineers in our India based AI team, you'll have visibility, leadership opportunities, and a direct hand in shaping Cloudflare's AI roadmap. Culture of ownership: We believe in autonomy, accountability, and trust. Engineers here own outcomes, not just tickets. Learn and grow fast: Collaborate with peers across Support, Product, Security, and AI Platform teams. We encourage knowledge sharing, mentorship, and continuous learning. Interview Signal Expect to demonstrate your ability to: - Build a mini agent on Workers using the Agent SDK - Store session memory in Durable Objects - Add semantic recall with Vectorize - Ship behind a KV flag with traces and observability - Push to production fast and take ownership Team Mission The Agent Tech team owns the end to end stack for customer facing agents on Cloudflare. Everything runs at the edge. Core Stack: Workers, Durable Objects, KV, R2, D1, Queues, Pub/Sub, Vectorize, Workers AI, AI Gateway, Pages, Zero Trust. Principles: Ship fast. Measure truth. Simplify relentlessly. Own outcomes. Fraud Alert: Do not fall victim to recruitment fraud. Cloudflare never charges application fees or requires candidates to purchase third-party certifications or training as a condition of employment. All official communication comes strictly from @ cloudflare.com email addresses. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Talent Sourcing Partner, ML/AI
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. - At Roblox, we are growing and looking for a Technical Sourcer to help build, scale, and influence our recruiting landscape. We are a fun and collaborative team focused on recruiting engineering talent. This person is a strong communicator, collaborator, and leads by example. Successful Builders embrace change and we encourage bringing in fresh ideas and a culture of feedback. As a Technical Sourcer you will directly impact the growth of the company and support our scaling efforts. You Will: - Drive hiring for critical technical roles across Engineering, Machine Learning, AI, Research. - Proactively source and engage top talent through Gem, LinkedIn Recruiter, SeekOut, GitHub, arXiv, google scholar, and AI/ML research communities, amongst others. - Influence and improve processes to help the team work smarter, faster, and at scale. - Partner with engineering and data leaders to define role scopes, assess capability gaps, and shape hiring strategy across emerging domains like generative AI, LLMs, computer vision, and infrastructure automation. - Share talent market insights with hiring managers to guide decisions on leveling, compensation, and candidate profiles. - Mentor and coach hiring managers and interviewers, raising the bar on calibration, evaluation, and selection practices. - Champion a best-in-class candidate experience that reflects our values and culture at every stage of the process. - Ensure operational excellence with clean pipelines, accurate data, and strong ATS hygiene. - Use data and insights to diagnose bottlenecks, measure impact, and tell compelling stories to stakeholders. - Act as a strategic thought partner to technical leadership — bringing structured insights on global AI/ML talent dynamics and shaping long-term hiring strategies. You Have: - 10+ years of full-cycle recruiting experience, with depth in technical domains like AI, Machine Learning, or Data Science. - Proven ability to manage high-volume pipelines while delivering quality results - Demonstrated success hiring research scientists, ML engineers, applied AI practitioners, and data leaders in highly competitive markets - A strong track record of influencing stakeholders and solving complex recruiting challenges with creativity and innovation. - Experience utilizing an Applicant Tracking System to maintain candidate pipelines - A data-driven approach with the ability to analyze metrics, surface insights, and inform strategy. - A startup mentality and open to thinking outside of the box - Ability to be able to switch from sourcing to full-cycle recruiting on an as needed basis. 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 $159,260 - $200,630 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.
Staff Project Manager AI product engineering
PsiQuantum's mission is to build the first useful quantum computers: machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry, including partners like GlobalFoundries, we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don't feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. That approach has since been tested at the highest level of scrutiny the U.S. government applies to emerging technology, and it has held up. In 2025, PsiQuantum closed a $1 billion funding round that valued the company at $7 billion. In 2026, the U.S. Department of Commerce signed a $100 million Letter of Intent under the CHIPS and Science Act, followed by a $125 million agreement with DARPA under Stage C of its Quantum Benchmarking Initiative, PsiQuantum's most valuable U.S. government agreement to date. This year, we also broke ground on our utility-scale quantum computer in Brisbane, Australia, and continued building out our Chicago site. Victor Peng, our CEO, and co-founder Jeremy O'Brien, now Executive Chairman, lead a team and board that reflects how seriously the world is taking this build, joined this year by Intel's Lip-Bu Tan and Atomico's Niklas Zennström. PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies, including Airbus, Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical, to prepare quantum solutions for real-world impact. Quantum computing is not an extension of classical computing. It represents a fundamental shift, and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we now have the funding, the government validation, and the sites under construction to make it real. Job Summary: We are seeking an experienced Technical Program Manager to lead the cross-functional development and delivery of complex silicon photonics systems from engineering development through system integration, qualification, manufacturing, and production. This role will coordinate execution across silicon photonics, hardware, firmware, software, mechanical/thermal engineering, systems engineering, test, supply chain, and manufacturing , while managing dependencies with vendors and external partners. The ideal candidate combines strong technical understanding with disciplined program execution and has experience delivering complex hardware/software products through the full product lifecycle. Responsibilities: - Lead integrated program planning and execution across silicon photonics, HW, FW, SW, system integration, test, and manufacturing. - Develop and manage program schedules, milestones, critical paths, dependencies, risks, and engineering deliverables. - Coordinate prototype and product builds, including material readiness, procurement, BOMs, long-lead components, engineering readiness, and build schedules. - Drive cross-functional execution with engineering, supply chain, procurement, operations, manufacturing, vendors, and external partners. - Manage product and build documentation, configuration control, engineering changes, requirements, test plans, and manufacturing readiness. - Lead program reviews, build-readiness reviews, vendor reviews, vendor management, and risk management, while developing clear presentations and status reports for engineering and executive leadership. - Drive programs from prototype and integration through EVT/DVT, qualification, NPI, and production ramp , ensuring actions, issues, and technical dependencies are driven to closure. Experience/Qualifications: - BS in Engineering, Physics, Computer Science, or a related technical discipline with significant experience managing complex multidisciplinary engineering and product-development programs . - Demonstrated experience delivering hardware-intensive products involving HW, FW, SW, system integration, and manufacturing. - Strong experience managing engineering builds, integrated schedules, procurement, BOM/material readiness, vendors, supply chain, contract manufacturers, and NTI/NPI development. - Ability to understand technical dependencies, identify critical-path risks, and work effectively with engineering teams without needing to be the subject-matter expert in every discipline. - Experience with silicon photonics, optical systems, semiconductor products, networking hardware, embedded systems, or other complex electro-optical products is highly desirable. - Strong organizational, written, verbal, and executive presentation skills are required. PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com . We are not accepting unsolicited resumes from employment agencies. Base pay is one part of the total compensation package. Full-time roles are eligible for equity and benefits. Our compensation ranges reflect the cost of labor across multiple U.S. geographic markets, and we pay based on defined geographic zones. This position may be filled within one of the following U.S. geographic zones, each with its own salary range. Actual compensation may vary outside of these ranges and is dependent on various factors including, but not limited to, a candidate's qualifications, relevant education and training, competencies, experience, geographic location, business needs, and internal equity. Your recruiter can share more details about the salary range applicable to your location during the hiring process. - Zone 1 - Bay Area and NYC - Zone 2 - Examples include Los Angeles and Washington DC - Zone 3 - Examples include Austin, Chicago, and Sacramento - Zone 4 - Examples include Nashville and Phoenix/Tempe and many remote locations This position includes the following benefits: competitive health coverage for you and your dependents, 401(k) with company match, equity grants, access to financial wellness tools and planning resources, wellness benefits, family support programs, life and disability insurance, paid leave programs, company-designated paid holidays, discretionary time off (DTO), and an end-of-year company shutdown. Some of these benefits have eligibility requirements and may vary based on location, role, or employment status. Many of these benefits are subsidized or fully paid for by the company. The e s timated annual base salary range for this role is: Zone 1 $208,300 - $244,700 USD Zone 2 $187,400 - $220,200 USD Zone 3 $166,000 - $195,800 USD Zone 4 $145,800 - $171,300 USD
FP&A 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. The role We're hiring the first dedicated owner of central FP&A at ElevenLabs. You'll own the plan of record: the consolidated company model, the budgeting cycle and the monthly reporting cadence that the CFO, CEO and board use to run the company as we prepare for IPO. Pigment is in place and our data sits in a warehouse with dashboards on top, but the company isn't fully modeled yet. You'll build the core model first, then use it to evaluate every major investment. - Build and own the driver-based company model and opex model in Pigment, bringing inputs from commercial, product and compute finance into one model of record. - Run the annual budget and quarterly reforecasts end to end, including headcount envelopes and G&A forecasting with budget owners. - Set up the monthly cadence of results, budget vs. actuals, functional reviews and quarterly business reviews, and prepare the financial section of the board pack. - Bring capital allocation discipline to large decisions on hiring, compute and strategic spend. You're a builder who still builds the model yourself. You've likely done this at a high-growth tech company where the planning process had to be created while the business scaled, and you care about recommendations that get implemented, not only presented. Requirements - You've built a driver-based company model or long-range plan from scratch and used it to drive real decisions. - You've run an annual budget and reforecast cycle end to end at a high-growth tech company, and turned the numbers into a clear narrative for executives or the board. - Strong commercial judgment: you think in unit economics and gross profit, not only revenue, and your recommendations get implemented. - Hands-on with a planning tool (Pigment, Anaplan, Adaptive or similar), comfortable with SQL and working off a data warehouse, and you use AI tools every day. - Bonus: experience with usage-based or consumption revenue, IPO readiness or public-company FP&A, hands-on Pigment, or building a team. Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Lead a central FP&A team as it grows toward IPO. - Own the planning and guidance process once we are a public company. - Take on broader strategic finance scope as the function scales. Location This role is remote-first, so it can be executed from anywhere in Europe, with the ability to operate in GMT+0 to GMT+2 timezones preferred. If you prefer, you can work from our offices in Warsaw and London. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Finance Systems 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. The role ElevenLabs runs a deliberately lean finance team across 10+ legal entities and 40+ countries. The stack is built around NetSuite, Stripe, Ramp, Deel, HiBob and Pigment, with a BigQuery/dbt warehouse underneath. We want a close where people review exceptions and agents handle the rest. You'll own that stack, from architecture and integrations to controls and vendors. This is a builder role, not a ticket queue. - Run NetSuite end to end. That covers multi-subsidiary setup, chart of accounts and segments, scripting and workflows, release management, and roles and segregation of duties as we build toward public-company controls. - Own the integration layer: Stripe, Ramp, Deel and HiBob into NetSuite, and NetSuite into the warehouse. Month-end should reconcile by design instead of by hand. - Lead selection and rollout of new systems, including usage-based billing and equity administration. You'll also handle the finance setup of every new entity. - Build with AI, alongside our Automations and Data teams. Examples include agents and automations for invoice coding, people-cost reconciliations and accounting requests. - Be the systems voice in finance decisions on new pricing models, new geographies and audit readiness. Requirements - You've administered a multi-entity NetSuite OneWorld instance yourself, including SuiteScript/SuiteQL, saved searches, roles and releases. - You've owned an ERP or billing implementation or migration end to end, and you know how Stripe data flows into the ERP and into revenue recognition. - You build integrations, through iPaaS or code, that reconcile and alert when something breaks, and you're comfortable in SQL. - You understand R2R, P2P and O2C and the controls behind them, and you can work with accountants, engineers and auditors in the same week. - You work AI-first: tools like Claude Code or Cursor are part of your day, and you automate a workflow before you staff it. - Bonus: experience with Ramp, Pigment, Metronome or another usage-billing platform, Deel/HiBob, or n8n, or dbt/BigQuery; SOX or ITGC work at a pre-IPO or public company. Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Lead a Finance Systems & Automation team as the company scales. Location This role is remote-first, so it can be executed from anywhere in Europe, with the ability to operate in CET timezones required. 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.
Equity Administrator
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 Equity is a big part of how we reward the people building ElevenLabs, and the programme is growing fast across many countries. You'll own the day-to-day running of it: keeping our cap table accurate and audit-ready, and making sure every grant, exercise and leaver is handled correctly and on time. You'll work with Finance, Legal and People to turn board-approved decisions into clean records and clear communication. That includes issuing grants, supporting 409A and local valuations, and answering employee questions about their equity. We're looking for someone who is meticulous about the numbers and who treats employees as customers. You'll find ways to automate the repetitive work, using AI wherever it makes things faster and more reliable. Requirements - Hands-on experience administering equity in a cap table or stock plan platform such as Carta, including grants, vesting, exercises, terminations, settlements and reconciliations. - Experience administering equity across multiple jurisdictions, including tracking globally mobile participants and coordinating with Tax and Payroll. - Strong understanding of stock options, RSUs, vesting schedules and employee lifecycle changes, with working knowledge of relevant tax-advantaged schemes such as US ISOs and UK EMI or CSOP plans. - Experience reconciling equity data with People, Talent, Payroll and Accounting records. - Understanding of stock-based compensation accounting sufficient to provide reliable data and support Finance with US GAAP and local reporting requirements. - Experience building and documenting equity processes and controls, managing deadlines independently and resolving discrepancies. - Clear communication skills, sound judgement when handling confidential information and a strong focus on employee support. Bonus: - Experience at a fast-growing startup, familiarity with 409A processes, or a record of automating equity workflows. - Certification (e.g. CEP or similar) - Experience with IPO process or having supported transition from private to public Location: This role is remote and can be executed between Central European and Eastern US timezones. If you prefer, you can work from one of our global offices. 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 Full-Stack Engineer, Cohere Dashboard
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? The Cohere Dashboard is the control center for Cohere users and the starting point for many on their journey with Cohere. Here, they can access our models, manage API keys, manage teams, audit billing and explore our docs. In this role, you'll collaborate with internal partners to craft a delightful, intuitive, and unified experience across everything the Cohere Dashboard offers. Join our team of builders who are shaping the future of large language models! As a Full-Stack Software Engineer on the Cohere Dashboard team, you will: - Work with a small talented and enthusiastic team of software engineers - Contribute to delightful experiences for our user-facing products, meticulously crafting code for browsers and servers - Collaborate and grow with your engineering colleagues of all levels through direct pairing sessions, architectural designs, documentation and talks - Identify and remove roadblocks to enable your team to increase its engineering velocity - Build resilient systems that are mission-critical - Keep up with the cutting edge and adopt new technologies to improve performance and reliability You may be a good fit if: - You have experience shipping products with a large number of stakeholders - You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python - You have hands-on experience with complex SQL queries - You have excellent communication skills and believe that documentation is a great way to get feedback and discuss technical implementations and designs - You’re excited to add new technologies to your toolbox and use them where it makes sense - You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences - You’re excited about AI and have the motivation to scale a company 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.
GTM Engineer - Data Platform
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 recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About GTM Engineering: GTM Engineering is responsible for the data, business logic, workflows, and agents that enable our Marketing and Sales teams to help customers get the most out of Modal. Like the infrastructure beneath the Magic Kingdom , much of our work happens behind the scenes. We build systems that anticipate and deliver what customers need to grow on Modal. We bring a product management, growth engineering, and data science approach to GTM, from centralizing our data platform to building agents for account research . We're looking for a GTM Engineer to own our GTM data platform. This role combines analytics engineering with revenue operations: you'll build the org map, people graph, and data systems that help us discover future customers and support our GTM workflows, partnering closely with our Data team on the shared foundation. What You'll Do: - Build and maintain an org map and people graph connecting companies, labs, teams, and individuals to identify researchers, engineers, and early-stage startups, including people beyond our existing users and CRM. - Own identity resolution, enrichment, and CRM schemas so affiliations, roles, and relationships stay accurate, current, and traceable to their sources. - Build GTM data models in Snowflake and dbt connecting people, companies, workspaces, workloads, usage, and revenue, giving reps and agents a shared foundation for customer context. - Partner with RevOps and Marketing to define and implement metrics, data models, and business rules for routing, territory assignments, compensation, pipeline reporting, and attribution. - Partner with Data on usage forecasts and account signals; build reproducible reporting that reconciles actuals, forecasts, human adjustments, and credited attainment. - Build reverse ETL pipelines for ad audiences, lifecycle campaigns, CRM enrichment, outbound, and event outreach, preserving engagement history and campaign eligibility. - Own data quality and system health, from graph coverage and stale enrichment to failed syncs and historical reporting accuracy. - Build the tooling that helps GTM Engineering ship reliably, from development environments, automated tests, and deployments to backups and shared AI agents and skills. What You Should Have: - SQL fluency and Python proficiency. - You already use AI coding tools and agents to build, debug, and automate your work, and help teammates do the same. - Experience building data models and production pipelines with tools like Snowflake, dbt, Modal, or Hex. - Hands-on experience with CRM architecture, integrations, and revenue or marketing operations. - An understanding of how leads, accounts, opportunities, and revenue move through a business; experience with usage-based businesses is a plus. - High attention to detail and a habit of testing, documenting, and monitoring the systems you build.
Site Reliability Engineer
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re hiring Site Reliability Engineers to set the reliability standard across everything we build. Businesses and developers build their own products and customer experiences on our platforms, from live customer conversations to content production, much of it real time and latency-sensitive. Our reliability is part of theirs, so there is very little room for downtime. You’ll join our dedicated Reliability team and own how we design for resilience, respond to incidents and keep improving. You’ll work directly with product and engineering teams to define reliability targets, build the tooling to measure them, and shape the architecture and practices behind them. - Design and run disaster recovery programmes, setting ambitious recovery targets and testing against them regularly. - Define SLAs and SLOs with each product team, and build the tooling to track them by product and customer. - Own how we detect, respond to and learn from incidents, including alerting design, the incident process and post-mortems, and our on-call process. - Build AI-assisted investigation and auto-resolution, from agent-led diagnosis to automated remediation. - Embed with product teams to shape architecture and engineering practices for resilience at scale. Requirements - Hands-on experience running production systems at scale as an SRE, infrastructure engineer or similar, with a track record of measurably improving reliability. - A strong background in backend development, and a habit of solving reliability problems with code and automation. - Experience owning incident response, on-call and post-mortems, and driving fixes through to completion. - Experience with observability and alerting, and with defining and tracking SLOs or SLAs. - Solid grounding in Kubernetes and cloud infrastructure (GCP and AWS preferred) 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.
Mobile Engineer - ElevenMusic
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 ElevenMusic is a consumer music app where music is the core product: a place to listen, create, remix and share. The team is small, agent-first and sits apart from the main org, with very fast CI, so ideas often ship the same or next day. Today, one engineer runs the whole iOS app alone. We’re looking for a Mobile Engineer to own ElevenMusic across iOS and Android, and to make mobile a driver of the product rather than a downstream port of web features. You’ll build for musicians and creatives, think in systems as well as screens, and work with high autonomy and a high bar for taste. Requirements - Shipped a well-designed, production mobile app that real users love, and can show us what you owned. - Strong systems thinking across mobile and backend. We’re framework-agnostic (React Native, Swift or Kotlin), but expect you to work across iOS and Android. - Exceptional product taste and a clear view on what makes a mobile experience great. - Highly self-directed: you turn loose directions into shipped work and own the outcome. Bonus: musical interest or intuition. Open-source or GitHub contributions. Location This role is remote-first, so it can be executed from anywhere in Europe and the US East Coast, with the ability to operate in GMT-5 to GMT+1 timezones required. If you prefer, you can work from our offices in London, New York, Warsaw, and Amsterdam. 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 - Productions
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 Productions is the “done for you” managed services wing of ElevenLabs, built for creators and media businesses. We bring together our AI audio tools and human experts in linguistics, mixing and post-production to deliver human-edited dubs, audiobooks and more in 15+ languages, directly on the ElevenLabs platform. Our customers include global media broadcasters, publishers, gaming companies and major film studios. We’re hiring engineers to build the systems behind it: the platforms that let human expertise and AI work together at the quality our clients expect, and the labelling tools our research teams use to improve our models. You’ll own a scope in one of these areas: - Human data platform: the labelling and evaluation platform research uses to continuously improve our models. You’ll ship new task editors, improve reliability, catch misuse and build the metrics behind higher-quality data pipelines. - Core productions engine: the backend machine nobody sees but everybody relies on. You’ll build and maintain the services that run our production workflows, with room to lead projects. - Editor platform: the professional editing tools our production teams work in. You’ll build in Rust, combining UI systems with a deep understanding of the underlying system. We’re building professional tools and core infrastructure, not consumer features. The work is mostly building, with little hand-holding. You’ll carve out your own scope and own the outcome. Requirements - Strong backend engineering experience, ideally in functional programming languages like Rust, with a full-stack focus on designing UI systems. You’ve shipped and run production systems end to end. - Experience making systems reliable and scalable, such as internal platforms, workflow or task engines, or data pipelines. You take pride in the infrastructure nobody sees but everybody relies on. - Comfortable switching between building a new tool or editor and hardening the platform underneath it, and keen to lead projects when the opportunity arises. - Opinionated and able to defend your ideas, but know when to just grind. You’re happy doing the unglamorous work, and you’re hungry. Bonus: - Experience building editor or UI-heavy professional tools, with a systems-level understanding of what sits underneath. - Experience with data labelling or annotation platforms, or managing crowdsourced workforces. Location This role is remote-first, so it can be executed from anywhere in Europe and the US East Coast, with the ability to operate in GMT-5 to GMT+1 timezones required. If you prefer, you can work from our offices in London, New York, Dublin, Amsterdam, 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 - ElevenMusic
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 ElevenMusic is a consumer music app where music is the core product: a place to listen, create, remix and stream. The team works in its own environment, separate from the main org, and is agent-first with fast CI, so ideas reach users within a day or two. You’ll own features end to end, from spotting the problem to shipping the product and the backend behind it. Most of what you build is new, in a space where few companies are working with AI and music, so there’s no playbook. You’ll define the problem yourself, test ideas with real users, and work alongside research engineering to turn model capabilities into things people love using. What you ship goes live to a large audience within days. You’re a builder with strong product taste who understands every layer of the system. You use AI to move fast, but you own and understand everything you ship. You care about music and the people who make it. Requirements - Have shipped and owned a well-designed consumer product from zero to real users, across frontend and backend - Understand your systems deeply enough to spot immediately when a PR is wrong, insecure or needlessly complex - Show excellent product judgement: you know the most valuable thing to build, and what not to build - Work autonomously with minimal direction, and take responsibility for fixing problems as you find them - Have a real interest in music, or in the people who make it Bonus: Open-source or GitHub track record, experience building music or audio products, or experience with recommendation systems or embeddings. Location This role is remote-first, so it can be executed from anywhere in Europe and the US East Coast, with the ability to operate in GMT-5 to GMT+1 timezones required. If you prefer, you can work from our offices in London, New York, Dublin, Amsterdam, 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.
Support Delivery Lead
About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a leader to build and scale our Support Engineering team, which will collaborate directly with our strategic enterprise accounts, our product and engineering teams, as well as our field teams to solve some of the most difficult technical problems faced by our customers. You will lead one of the best technical troubleshooting teams at OpenAI, and our customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Working directly with our most strategic customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI platform. This team will handle high difficulty situations and issues. The team will be global, providing 24x7 technical coverage for our customers. This will be an opportunity to build this new team from first principles - your leadership will determine the future of this organization. The ideal candidate will have a combination of technical capabilities mixed with strong leadership and systems building strength. 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. Key Responsibilities: - Build and lead a team of the foremost technical and troubleshooting experts at OpenAI. You are the last line of defense before the core Engineering team. - Partner with engineering and customer teams to build out our systems to ensure that we resolve escalated issues. You will engage with senior leaders internally or with customers and coordinate resources across multiple teams as needed. - Take learnings from resolving customer issues and operationalize those solutions at scale, iterating on internal processes with Engineering/Go-To-Market/vendor partners, influencing product roadmaps, and improving overall customer experience with support. - Manage scaling and operations of the team in order to deliver 24x7 coverage globally, including holidays and weekends based on business needs. - Build strong relationships with our customers to ensure their application’s success. - Ensure the team is assisting broadly where needed beyond the ‘core remit’ of the team - Be a part of the broader leadership team in Support. You will have the opportunity to build not just within this team, but across the organization. Qualifications: - Have 8+ years of experience in technical support engineering or software engineering - Have 4+ years of experience leading technical support engineering or software engineering teams, ideally in high-scale or fast-paced environments - Have experience leading highly skilled engineering teams and are comfortable empowering senior ICs while setting a clear technical and operational direction. - Bring deep technical experience in application development or infrastructure, paired with a strong instinct for operational systems and customer reliability. - Are a strong cross-functional partner with a proven ability to influence engineering and product roadmaps through support-driven insights. - Take an automation-first approach and have a track record of implementing tooling or processes that scale support impact through AI and systems thinking. - Thrive in ambiguous environments and balance strategic leadership with a willingness to get into technical details when needed. - Are energized by customer impact and excel at building trust with strategic accounts during critical issues or periods of transformation. - Are mission-driven, collaborative, and operate with high integrity and humility. 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.
Software Engineer, Cloud Computer
About the team The Browser Use team builds the technology that enables agents to interact with browsers across our products. Our work spans infrastructure, tooling, and user experiences, both on users’ devices and in the cloud. We partner with research to improve our models’ browser-use capabilities and with web standards bodies to shape how agents interact with the web. Our products include ChatGPT for Chrome, the ChatGPT in-app browser, and the cloud computer used in dots and ChatGPT Work. We see the browser as a universal connector. If we can enable our models to use it effectively, they can do anything. Come help us build the future of browsing! About the role We’re looking for a product-oriented engineer to build and scale our cloud computer infrastructure. Our goal is to give every one of our users access to an agent with their own computer in the cloud. Build novel solutions to problems like authentication, user takeover, and enterprise network access. You’ll help own the systems that provision, run, and manage the environments our agents use, making them reliable, responsive, and efficient as demand grows. This role combines infrastructure depth with close attention to the user experience. You’ll partner with research and engineering teams to bring new computer-use capabilities into production, working across container orchestration, backend services, and product experiences. In this role you will - Build and scale infrastructure for running agent-controlled browsers and computers in the cloud. - Develop services for provisioning environments, managing sessions, and coordinating their lifecycle. - Improve reliability, performance, resource utilization, and observability across the fleet. - Diagnose issues across Linux, containers, networking, and browser execution. - Build APIs and tooling that make cloud computers easy for research and product teams to use. - Work closely with research to understand emerging requirements and improve how computer use works. - Develop authentication, credential management, and network access controls that protect user data and support interactions with websites and services. Your background might look something like - Experience leading large-scale backend, platform, or infrastructure projects from ambiguous problem statements to production systems. - Proficiency in one or more backend languages such as Python, Go, Rust, TypeScript, or similar, and the ability to move across service, platform, and product boundaries. - Strong understanding of distributed systems, cloud platforms, and production reliability. - Own systems from initial design through deployment and scale. - Comfort with a fast-moving pace while caring for security and operational excellence. Experience with browser automation, remote computing environments, or infrastructure for AI agents would be especially relevant. 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.
Procurement Coordinator
About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About Role We’re looking for a Procurement Coordinator to support the day-to-day purchasing and logistics needs of our Robotics organization. You’ll follow up on orders, coordinate domestic and international shipments, work with suppliers and logistics providers, and keep the details organized from purchase request through delivery. This is an entry-level position for someone who is organized, curious, and eager to take ownership. You don’t need years of procurement experience, but you should be comfortable asking questions, learning quickly, and following through. When an email goes unanswered, you pick up the phone. When a delivery is at risk, you find out why, identify the next step, and keep the right people informed. You’ll also help improve how we work. We expect you to adopt AI tools and build practical automations that reduce repetitive tasks, improve visibility, and make the supply chain team more effective. This role offers an opportunity to build a foundation in procurement, logistics, and hardware operations. This role is based in San Francisco, CA and requires in-person presence 4 days a week and up to 10% travel to vendor sites. In this role you will: - Follow up with internal teams to keep purchase requests and PO issuance moving on time, resolve missing information, and confirm that suppliers receive and acknowledge orders. - Track open orders through delivery, maintain accurate supplier commitments, and proactively follow up on lead times, shipment dates, and overdue items. - Coordinate domestic and international logistics, including scheduling couriers, arranging pickups, booking shipments, tracking deliveries, and resolving shipping exceptions. - Prepare and check commercial invoices, packing lists, and other shipping documentation. Work with suppliers, customs brokers, and internal specialists to address customs questions and support timely clearance. - Manage day-to-day coordination with third-party logistics providers (3PLs), including receiving, storage, outbound shipments, and resolving inventory or delivery discrepancies. - Keep purchasing and logistics records current, communicate clear status updates, and help resolve order discrepancies, returns, and missing delivery documentation. - Use AI, spreadsheets, and workflow automation tools to streamline order tracking, follow-up reminders, shipment updates, and routine reporting. Check that the resulting information is accurate and useful. - Support the broader supply chain team as priorities shift. Take action on open issues, call suppliers when email isn’t working, and escalate risks early with clear context and proposed next steps. You might thrive in this role if you: - Are starting your career and want to build experience in procurement, logistics, or operations. Relevant experience can come from internships, school projects, part-time work, or other roles where you managed details and followed through. - Are highly organized and attentive to detail. You can keep track of multiple orders, deadlines, and follow-ups without losing sight of what matters most. - Have a bias for action. You’re comfortable contacting an unfamiliar supplier, asking direct questions, and following up persistently and professionally. - Communicate clearly and close the loop. People know what’s happening, what’s blocked, and what you’re doing next. - Are comfortable with spreadsheets and learning new systems. You actively experiment with AI tools and can turn a repetitive task into a more reliable workflow. - Adapt well to changing priorities, ask for help when needed, and exercise sound judgment about when to act independently and when to escalate. - Are curious about robotics, hardware, and how physical goods move through a supply chain. Prior exposure to purchasing systems, shipping, customs documentation, or warehouse operations is helpful but not required. What success looks like: Within the first 6 months, you will have: - Established reliable tracking for your assigned orders, with current commitments, clear next actions, and timely follow-up. - Built effective working relationships with suppliers, couriers, customs brokers, and 3PLs. - Become dependable at coordinating routine domestic and international shipments, preparing documentation, and escalating exceptions appropriately. - Earned the team’s trust through accurate records, responsive communication, and consistent follow-through. - Implemented practical AI or automation improvements that reduce manual work while maintaining accuracy. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Infrastructure Communications Lead
About the Team Our team helps OpenAI advance data center development by connecting communications, permitting and community engagement. We work across the teams building these projects to bring community expertise and clear communication to practical development needs. About the Role We’re looking for a versatile communications and community engagement professional who can help move data center projects forward. You’ll combine community engagement with strong communication skills and experience in permitting and public meetings. This role calls for someone who can influence across organizational boundaries, build understanding among stakeholders and step into the work where they can be most useful. This position has a strong external focus, crafting and sharing our data center narrative with a strong impact on policy-making through advocacy and press stakeholder management. This position will also have a major impact on the way OpenAI is perceived by other players in the industry and by the wider public. In this role, you will: - Partner with permitting and community-engagement teams to understand local concerns and support project progress. - Support press and storytelling around community engagement projects in our local data center communities in partnership with our Community Engagement Leads. - Help craft and scale our communication narrative around our operating principals as we scale our infrastructure footprint. - Develop clear narratives and communications that explain projects, energy needs and policy positions to relevant stakeholders. - Connect policy, communications and project teams so messages and actions reflect development needs. - Build alignment across teams, influence decisions and help resolve issues that span policy, communications and development. - Think creatively about communications and the channels used, working with the Public Affairs teams to deliver integrated execution of initiatives. - Help shape energy policy approaches that support data center development and translate policy considerations into practical recommendations. You might thrive in this role if you have: - Strong written and verbal communication skills, with the ability to make complex issues clear to different audiences. - Practical experience crafting a positive narrative for the data center industry, and a track record of influencing across teams and taking ownership in ambiguous situations. - Experience in and supporting public meetings, events, and announcements. - Experience managing social media messaging and campaigns in support of project initiatives - Media training and have experience working with senior leadership to prep for media - Experience in energy policy and an ability to connect policy decisions to infrastructure development. Preferred Skills - Experience running a high stakes media campaign - Experience supporting data center development or comparable energy and infrastructure projects. - Experience with policy communication (on energy for example) 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.
HR Business Partner
About this Team The HR Business Partner (HRBP) team at OpenAI partners with leaders to navigate complex organizational and talent decisions where the right path is not always obvious. We are building a higher-leverage HRBP model: staying close enough to the business to understand its realities, while focusing our time on the work that requires judgment, influence, context, and leadership partnership. This role is for an HRBP who can diagnose ambiguous situations, translate business strategy into organizational and talent decisions, coach leaders through consequential choices, and help build the operating rhythms that enable scale. While the role spans both strategic and operational work, the bar is not to be helpful on everything. The bar is to improve decision quality, strengthen leadership capability, and increase organizational effectiveness. We operate with urgency, empathy, and sound judgment. We value sincerity, intellectual honesty, and collaboration over ego, and focus relentlessly on creating meaningful impact. About this Role This role is part of a shared hiring pathway for HRBPs at OpenAI. Instead of hiring directly for a single team, we evaluate candidates holistically first, then identify the best fit across our organization as you advance. This approach ensures alignment between your skills, interests, and where our needs are greatest—whether that’s partnering with technical leaders in engineering, supporting product teams driving user impact, or enabling operational excellence across business functions. As a Senior HR Business Partner, you’ll be a trusted advisor to leaders and their teams. You’ll help set direction for how we organize, grow, and lead—stepping in as both a sounding board and a problem-solver. This role mixes strategic advising with hands-on support: you’ll design better systems, coach managers through complex situations, and help us make trade-offs that keep our people and mission in balance. This is an individual contributor role reporting to an HRBP Lead. In this role, you will: - Shape high-performing, resilient teams: Partner with leaders to design structures, talent plans, and ways of working that enable strong performance and sustainable growth. - Collaborate for a seamless experience: Partner with fellow HRBPs, COEs, and cross-functional leaders to build an employee experience rooted in humanity, humility, and impact. - Evolve People programs: Strengthen performance, engagement, and retention processes—building solutions that are lightweight, scalable, and aligned with how OpenAI operates. - Guide and develop managers: Offer candid, actionable feedback and help managers build leadership muscle across their teams. - Anticipate and act fast: Stay close to the business to identify challenges early, diagnose root causes, and deliver lasting solutions that adapt as priorities shift. - Lead change that matters: Drive organizational changes with empathy, clarity, and rigor—finding creative paths forward when playbooks don’t exist. You might thrive in this role if you have: - Deep HRBP expertise: 7–10+ years of HR experience, including at least 5 years as an HR Business Partner in high-growth or complex environments. - Strategic partnering: Able to see the big picture, guide leaders through tough trade-offs, and adapt quickly when priorities shift. - Multipliers who create impact: Skilled at giving candid feedback with care and building leadership capabilities across organizations. - Scrappy problem solving: Uses sound judgment to diagnose challenges, test creative solutions, and chart a path forward without a playbook. - Change leadership with calm & clarity: Brings steadiness, empathy, and influence in moments of ambiguity or transition. - High integrity: Known for discretion, fairness, and trustworthiness when the stakes are high. Workplace & Location This role is based in our San Francisco, New York, or Seattle office, and we aren’t considering remote applications at this time. We do encourage you to apply even if you prefer a fully remote role as location factors may change over time. We offer relocation support to new employees, and we use a hybrid model: three days in the office per week with optional work from home on Thursdays and Fridays. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation Operations Analyst
About the Team OpenAI’s People team supports a complex, rapidly growing organization of researchers, engineers, and business teams. The Compensation function ensures accuracy, scalability, and operational excellence across all compensation tools, systems, and data flows. About the Role We’re hiring a Compensation Operations Analyst to build and run the systems, tools, and processes that power compensation at OpenAI. This role is deeply operational and technical: you will configure HRIS modules, manage compensation tools end-to-end, maintain pristine data quality, and ensure compensation cycles run flawlessly. You’ll partner closely with People Systems, Total Rewards, Finance, and vendors to keep our compensation infrastructure accurate, scalable, and audit-ready. 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 configuration and day-to-day operations of compensation tools and HRIS compensation modules. - Manage annual and off-cycle compensation processes, ensuring data integrity, testing, quality assurance, and on-time execution. - Build and maintain compensation datasets, dashboards, audits, and data flows across systems. - Lead compensation vendor relationships, including implementation, troubleshooting, and data submissions. - Diagnose and resolve system issues, identify root causes, and drive process and tooling improvements. - Partner with People Systems and Engineering to enhance architecture, workflows, and automation. - Ensure high data accuracy across compensation systems and proactively identify gaps, risks, or anomalies. - Translate technical or complex compensation system issues into clear guidance for stakeholders. You might thrive in this role if you: - Have 5+ years of experience in compensation operations, HR operations/systems, or total rewards tooling in high-growth or technology environments. - Have strong HRIS configuration experience, especially with compensation planning modules; Workday and Pave experience is preferred. - Bring rigor and precision to data auditing, validation, and lifecycle management. - Can manage and optimize tools at scale while navigating fast-moving environments. - Communicate effectively across functions and are comfortable working with technical partners. - Are action-oriented, organized, and reliable under tight deadlines. - Have a strong ownership mindset and a bias toward simple, scalable systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Full-Stack Engineer (Frontend-Leaning) - CreativeM...
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 Music is becoming a first-class part of ElevenLabs Creative. You’ll own the UI that lets creators make it, working closely with Research to turn new music models into products people use the next day. The open question is what the best interface for AI music creation looks like. Creators come for video, dubbing or ads, and music is part of that flow. Making a song from scratch, scoring a video and localising a track into other languages each need a different flow. You’ll form a view on the right experience, build it end to end, and make it easy to adopt each new model as it lands. You’ll take an ambiguous problem, decompose it, and carry it through legal, design, engineering and launch with Growth. You’ll work in a small, high-ownership team across product, research and go-to-market. Requirements - Strong Frontend experience: you’ve shipped complex, production UIs (React/TypeScript or equivalent) and are comfortable on the backend when the work needs it - You’ve owned ambiguous, zero-to-one product work from problem definition to launch, without a PM or a prescriptive backlog - You’ve worked closely with designers (Figma) and have taste and opinions about UX - You’ve worked across functions such as legal, safety, growth and design to ship, and keep stakeholders updated without prompting - You weigh trade-offs and make pragmatic decisions with no single right answer, and build so that new models can be swapped in as they land Bonus - Music, audio or creative-tools experience, or music as a hobby (singing, an instrument, production) - Experience building media-heavy interfaces such as audio, video or timeline editors - Experience working with ML models or research teams Location This role is remote-first, so it can be executed from anywhere in Europe or on the US East Coast, with the ability to operate in Central European timezones required. If you prefer, you can work from our offices in Dublin, London, New York 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) - CoreMusic
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 Music team owns music and sound effects end to end at ElevenLabs. We turn research breakthroughs into APIs and creative tools, from the backend systems that bring in new models to the interfaces creators use inside ElevenCreative. Five new research engineers have just joined the music research group, and models for stem separation and MIDI transcription are in progress. You’ll join as a Full-Stack Engineer with a backend lean. You’ll work with research and research engineering to bring model improvements into production, and build and run the APIs behind them. You’ll also sync with go-to-market to decide which features, including bespoke enterprise ones, get built next. Occasionally you’ll join customer calls when a customer wants someone technical. Engineers act as PMs. You’ll be handed ambiguous goals and expected to break them down. That means working through the legal questions, choosing the engineering approach, and planning the launch with growth. Models set the limits, so you’ll design systems that let a better model be swapped in later. Engineering is often only half the job. Requirements - A strong Full-Stack Engineer with a backend lean. You’ve built and shipped production APIs and backend systems. - A product decomposition mindset. You’ve taken a vague goal, weighed trade-offs and shipped without analysis paralysis. - Proactive ownership. You drive work end to end without a ticket board or someone assigning tasks. - Comfortable working across research, legal, safety, growth, design and enterprise customers. - Genuinely excited about music and AI. You’re the kind of person who prototypes ideas for fun and pushes the good ones into production. Bonus: music or audio experience (even as a hobby), or experience shipping ML models into production. Location This role is remote-first, so it can be executed from anywhere in Europe or on the US East Coast, with the ability to operate in Central European timezones required. If you prefer, you can work from our offices in Dublin, London, New York 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 - ElevenAPI
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 are looking for a Full-Stack Engineer to make building with ElevenLabs easier, from a developer's first API key to a successful production integration. Developer Growth owns the surfaces developers and their agents use: our SDKs, API, documentation and ElevenAPI dashboard. This role focuses on the dashboard and product flows, helping self-serve and enterprise developers get started, understand their usage and get more value from ElevenLabs. You will join a small, remote team and own features across frontend and backend. You will use direct user feedback and experiments to decide what to build, combining strong engineering with a careful eye for developer experience. Your responsibilities will include: - Improving the ElevenAPI dashboard so developers can manage integrations and understand how their applications and agents use ElevenLabs. - Streamlining onboarding, helping developers create API keys, get started with agents and reach their first successful integration. - Designing and shipping experiments to improve activation, API key creation and self-serve subscriptions, then using the results to guide further changes. - Owning features from discovery and design through frontend, backend, deployment and iteration, working closely with the team and learning from users. There is scope to grow into technical and team leadership over time, depending on your experience and impact. Requirements - Strong full-stack engineering skills, with particular strength in frontend development and confidence building backend services and APIs. - Strong product judgement and attention to UX, with evidence of making complex workflows intuitive for developers. - Experience using user feedback, product data and experimentation to prioritise work and improve measurable outcomes. - Independent, end-to-end ownership, clear communication and genuine enthusiasm for developer tools and developer experience. Prior generative audio experience is not required. Experience building developer-facing products, API dashboards or onboarding flows is particularly valuable. Previous technical or team leadership experience is a plus. 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.
Enablement Lead, Knowledge Work
About the Team The Enablement Lead (EL) team enables organizations to turn OpenAI products into real, sustained impact through world-class enablement and training execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI’s technology into durable capability—through structured training, technical enablement, and scalable deployment programs. By helping customers move from experimentation to production, the EL team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work. About the Role The Enablement Lead, Knowledge Work is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering enablement experiences that support a repeatable adoption framework, driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise and Agents. This role blends strong product fluency, instructional design, and customer advisory. You will lead live workshops, deliver services, and design adoption interventions for audiences ranging from everyday business users to technical practitioners and executive leaders, helping customers understand not just what OpenAI’s products can do, but how to apply them effectively in real world workflows. Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate product features into tangible outcomes across teams and business functions. You will own outcomes related to activation and sustained usage by shaping how enablement drives measurable customer impact. This role is based in our Seoul office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own the enablement of OpenAI products, including ChatGPT Enterprise and Agents, helping define effective enablement patterns that support adoption across business and technical teams within enterprise organizations. - Serve as a Subject Matter Expert (SME) for designated product areas, building deep expertise, supporting internal enablement, identifying emerging customer use cases for new product surfaces, and aggregating customer feedback to inform product development. - Lead customer enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption. - Design and deliver high-impact engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams. - Drive customer activation, sustained usage, and measurable business value through structured enablement programs designed for durable, organization-wide adoption. - Partner closely with Sales, Solution Architects, Delivery Leads to drive adoption across our core product suite. - Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions. - Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements. - Serve as a Subject Matter Expert (SME) for designated product areas, building deep expertise, supporting internal enablement, identifying emerging customer use cases for new product surfaces, and aggregating customer feedback to inform product development. You might thrive in this role if you: - Have 6+ years of experience in customer facing, enablement, or instructional roles, engaging C-level, business, and technical audiences in complex enterprise environments. - Possess exceptional presentation and communication skills, particularly when translating AI capabilities into clear, practical value for senior and executive level audiences. - Have strong product fluency across ChatGPT, Agents, and the broader OpenAI ecosystem, with a practical understanding of how AI capabilities can be applied to real world workflows and enterprise use cases. - Have experience leading workshops and enablement programs, with the ability to design learning journeys, facilitate live sessions, and respond to questions in real time. - Can identify patterns across customers and translate them into scalable approaches that improve adoption across the broader customer base - Can connect product capabilities to concrete business outcomes such as productivity gains, operational efficiency, cost reduction, risk mitigation, or revenue impact. - Are comfortable thinking on your feet in live customer environments, adapting quickly to new information, shifting priorities, and real time questions while maintaining clarity, ownership, and momentum. - Bring a humble attitude, an eagerness to help others succeed, and a strong curiosity to continuously learn and deepen your understanding of emerging AI capabilities. - Are personally committed to fostering the safe and responsible evolution of AI. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Account Director, Enterprise | ANZ
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in our Sydney office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you'll: - Manage a territory of accounts across ANZ, developing and executing strategies for a comprehensive account plan - Lead our enterprise prospects’ journeys from consideration to successful deployment - Partner with solutions and research engineering to build and execute complex customer programs and projects - Own a consumption revenue target - Manage consumption revenue forecasts - Analyze key account metrics to create reports and provide insights to internal and external stakeholders - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering - Support the recruitment and onboarding of other teammates - Support the development of company culture We're seeking someone with experience including: - 7+ years selling platform-as-a-service and/or software-as-a-service - Achieving revenue targets >$2M per year for more than 3 years - Designing and executing complex deal strategies - Supporting the growth of fast-growing, high-performance companies - Working directly with c-level executives - Communicating technical concepts to customers and internal stakeholders - Leading high-visibility customer events (CAB, conferences, product launches, etc.) - Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. - Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. - Are new business focused. You can demonstrate a strong track record of new logo acquisition that transitions into customer success and growth. - Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Chief of Staff
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the role We're hiring a Chief of Staff to keep Cohere's AI organization running at full speed. You'll report to and support the Chief AI Officer and work to bridge across all teams and functions at Cohere (including research, modelling, product, delivery, security, sales and operations). In any given quarter, the org ships new AI product demos and releases, customer pilots and scaled solutions, security updates, often across regions and time zones. Your job is to make sure the right work priorities win when everything feels urgent, that our plans turn into high-quality shipped work, and that our Chief AI Officer can focus on leading instead of firefighting. Much of this is operational: the planning calendar, the budget, the headcount plan, the weekly business reviews, the communication strategy (internal and external), the cross-functional handoffs. Your role is the operating rhythm of the org: meetings, priorities, plans, and the decisions that come out of them. You will be a member of an experienced, high-performing and supportive leadership team. What you'll own Own the operating rhythm and planning: annual and quarterly planning, goal-setting, and the weekly and monthly business reviews. Drive budget and headcount planning against the slate, and keep both honest as priorities shift mid-quarter. Keep major programs from colliding or stalling across research, modelling, product, delivery, and security. Be the person teams come to when it isn't clear who owns a decision, or how to navigate trade-offs. Be the connective tissue between the Chief AI Officer’s org and the rest of the company: cross-functional planning with product, engineering, security, and finance, so the org's commitments are realistic and its dependencies are visible. Own and lead special projects: Lead the things that don't fit neatly on any one team's plate: a reorg, a new partnership, a flagship research event, an org-wide planning week. Own them end to end. Who you are You have 12+ years of operating experience, with real time inside an AI/ML organization in a Chief of Staff, business operations, or senior program-operations seat. You know how to partner with teams shipping fast & often to high-stakes organizations, and you know how to change course with agility when needed. You understand how AI actually works—at the level of someone who's done it rather than managed it from a distance. You can talk credibly about how a model turns into a product, what data requirements demand from both research and engineering, and where delivery motions usually break. You're fluent in the numbers. Model performance metrics, data pipeline throughput, budget-to-impact. You don't have to run every program yourself. You do have to understand them well enough that the people who run them respect your judgment. You hold strategy and execution in the same hand. You can sit in a planning conversation with the Chief AI Officer in the morning and chase down a stuck deliverable in the afternoon. You thrive in a fast-paced environment, you handle ambiguity with curiosity and confidence, you stay calm when it's messy. You have a track record of bringing order to a fast, complex org without grinding it to a halt. You are an outstanding communicator and know how to wield soft power. Clear writing, straight talk, the ability to influence teams and individuals, and the executive presence to represent the Chief AI Officer in high-stakes conversations. 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.
Global Head of Education GTM
About the Team OpenAI’s mission is to build safe artificial general intelligence that benefits all of humanity. Our Go To Market team helps customers understand, adopt, and deploy AI, bringing together Sales, Solutions, Support, Marketing, and Partnerships. Our education work spans higher education, country-level partnerships, and K–12 teachers. We help institutions and students build durable AI capabilities for the future and explore how AI can support teaching, learning, research, and institutional operations. About the Role We are seeking a Head of Global Education GTM to lead our education partnerships & sales, shape GTM strategy, and scale the team for its next stage of growth. You will set priorities across markets and customer segments, lead representatives and regional management, and stay close to complex opportunities and senior customer relationships. This is a strategic, hands-on leadership role at the intersection of partnerships, product, and adoption. You will help the team move customers from experimentation to responsible, sustained use of frontier AI. Seats and meaningful capability building and adoption are the primary goals, alongside disciplined management of the team’s commercial responsibilities. You will lead technical, consultative Account Directors who own the customer journey from territory strategy and pipeline creation through use case identification, evaluation, procurement, deployment, adoption, consumption, value realization, and expansion. Your judgment will help the team connect executive ambition with credible technical and training plans as well as institutional readiness. You are a strategic thinker who is comfortable speaking with leaders on the future of AI in education, and shaping GTM while technology and capabilities are still being built. Education experience is welcome but not required; we are looking for a strategic technology sales leader with strong learning agility, product sense, scrappiness, and mission alignment. International experience is helpful but not required. In this role, you will: - Define and execute a global education GTM strategy across higher education, country-level partnerships, and K–12 teachers, making clear choices about segments, markets, and resource allocation. - Lead, coach, and develop Account Directors and regional management, building the hiring plan and management capacity needed to scale. - Stay hands-on with major opportunities, helping the team navigate executive alignment, decentralized stakeholders, technical evaluation, governance, procurement, and deployment. - Develop trusted relationships with institutional leaders, education systems, country-level stakeholders, and partners. - Build repeatable sales and partnership approaches that expand seats and support sustained adoption and value realization. - Establish territory planning, pipeline reviews, forecasting, and account management that connect adoption goals with subscription and consumption responsibilities. - Partner with Product, technical teams, Marketing, Strategy and Operations, and other functions to shape credible customer plans and inform product priorities. - Help institutions build faculty and educator AI capabilities, connecting access with practical use and learning. - Guide the team through product change and ambiguity, distinguishing available capabilities from dependencies that require validation. We’re seeking someone with: - A track record of leading and developing sales teams, including hiring, coaching, performance management, and building repeatable operating practices. - Strong strategic judgment: the ability to make explicit tradeoffs, prioritize opportunities, and translate a long-term vision into frontline execution. - Experience leading complex enterprise technology sales or partnerships involving executive, technical, operational, and procurement stakeholders. - Strong product sense and technical curiosity, with the ability to learn evolving AI capabilities and partner effectively with technical experts. - Evidence of building in ambiguous, rapidly changing environments with limited resources, incomplete processes, or products still evolving. - A customer-centered approach that extends through deployment, adoption, usage, and expansion. - Clear communication and cross-functional influence across senior leaders, specialists, and frontline teams. - A mission-driven interest in expanding access to AI and helping educators and institutions build durable capability. You might thrive in this role if you: - Are a strategist who makes difficult choices and brings teams along with a clear rationale. - Are a builder who creates systems and teams while staying willing to do the frontline work. - Enjoy learning new technology and translating it into practical customer opportunities. - Can move between an executive conversation, a deal review, and a discussion about deployment readiness. - Measure progress through meaningful customer use and can balance mission, adoption, and commercial discipline. 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.
Data Program Manager, Science
About the Team OpenAI’s Research Data team exists to accelerate the evaluation, safety and capabilities of our models and products. Made up of technical operators and software engineers, we design the methods through which we acquire and create data. About the Role As a Data Program Manager, Science, you will help researchers develop and execute scientific data programs, connecting OpenAI’s research priorities with relevant data, expertise and external partners. You’ll work closely with researchers to understand their needs, assess the scientific and practical value of opportunities, and develop partnerships across the scientific ecosystem. The work could range from acquiring existing datasets to shaping research collaborations. You’ll carry opportunities from initial investigation through commercial discussions, agreements, delivery and research use, exercising sound judgement around sensitive data and relationships. Our current work focuses particularly on biology and chemistry. We welcome different combinations of scientific, technical and partnership experience. This role is based in our San Francisco HQ. In this role, you will: - Develop data strategies with Research. Translate research goals, model limitations and evaluation gaps into evidence needs and success criteria. Compare acquisition with internal, public and commissioned alternatives. - Find distinctive sources for research. Build trusted local and international relationships across research and industry, including organisations at the scientific frontier. - Assess opportunities in scientific context. Inspect samples for provenance, context, quality and completeness. Assess usefulness, involving researchers and specialists as needed. - Shape partnerships with lasting scientific value. Understand partners’ ambitions and define pilots, deliverables and acceptance criteria, considering expertise, scientific contribution and continuing relationships alongside commercial terms. - Lead commercial and operational execution. Develop proposals, assess pricing and negotiate terms. Coordinate Legal, Privacy, Security, Procurement and engineering to clarify permissions, responsibilities and delivery. - Navigate sensitive collaborations. Understand institutional interests and confidentiality. Identify ethical, privacy, security and misuse concerns early, involving specialists to develop responsible arrangements. - Follow through into research use. Coordinate preparation, ingestion, access and documentation. Gather researcher feedback to inform whether to expand, change or stop. - Make thoughtful portfolio decisions. Recommend options based on research value, cost, timing and capacity. Identify shared needs and opportunities for useful collaboration across projects. - Make the work more repeatable. Use code, APIs, automation and AI tools to improve sourcing, assessment and delivery. Resolve recurring blockers with engineers and retain partner knowledge and research feedback. You might thrive in this role if you: - Have substantial grounding in biology, chemistry or related sciences through research, industry or equivalent experience, and engage critically with methods and evidence. - Have delivered complex scientific, data or partnership projects, with depth in one or more of scientific data and evaluation, commercial partnerships or research collaborations across organisations. - Exercise sound judgement: test claims, match evidence to research needs and make clear recommendations while acknowledging uncertainty. - Work directly with data: inspect unfamiliar files, investigate quality and use Python, SQL, APIs and AI-assisted coding to answer questions and reduce manual work. - Build trust through careful listening, precise questions and thoughtful negotiation. You bring relevant local and international relationships, or a demonstrated ability to develop them, and understand what partners value beyond the transaction. - Exercise discretion, recognising the limits of your expertise and authority and when scientific, ethical or safety questions need specialist input. - Thrive in a fast-moving environment, taking broad ownership across multiple projects and moving readily between scientific, technical and commercial questions. You prioritise thoughtfully as needs change, making clear decisions about where to focus and what can wait. - Enjoy getting your hands dirty, bringing energy and creative problem solving to unfamiliar or ambiguous opportunities. You turn them into practical plans and follow through on the details. - Learn exceptionally quickly, developing your understanding of AI training, evaluation and unfamiliar research areas to become a useful collaborator. - We welcome different combinations of scientific, technical and partnership experience. You do not need equal depth in every area. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Staff+ Software Engineer, Platform Acceleration
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 of May 2026, Claude authored more than 80% of the code we merge . Writing a change is fast now, and the hard part is knowing it's correct and safe to ship. Platform Acceleration builds the internal tools that close that gap for Anthropic's product engineers, who own the Claude API, our SDKs, and the rest of the Claude Platform. We work like a small product team whose customers are other Anthropic engineers. We're looking for Staff+ engineers with a backend and infrastructure background who care about developer experience and have built tools other engineers rely on. We prefer candidates who can work from our San Francisco office, and we'll also consider candidates based in Seattle. What you'll do - Own the technical strategy and roadmap for your area, and make sure its hardest problems get solved, by you or through others - Stay hands-on: design, build, and operate the tools that help Platform teams ship code faster - Define what it takes to trust a change, including changes written by Claude, and build the tooling that holds that bar before and after merge - Build agents that take on repetitive engineering work, such as diagnosing failures, fixing broken tests, and running migrations - Embed with partner teams to find their biggest sources of friction, validate a solution with them, and turn the fix into a product other teams can adopt - Measure developer experience and adoption, and use the data to decide what to build next - Move between building new tools and improving the shared systems teams already depend on, as priorities shift You might be a good fit if you: - Experience building and operating large-scale backend services or distributed systems in production - Proficiency in Go, Python, Rust, or TypeScript - Deep experience with developer tooling, CI/CD, test infrastructure, or deployment systems - Experience with cloud infrastructure and container orchestration - Experience leading large, complex technical projects across teams, from an ambiguous problem to a tool people use - Clear written and verbal communication, with experience supporting internal partner teams - Interest in Anthropic's mission of building safe, beneficial AI Preferred qualifications: - Experience at a startup or on a similarly small team, taking a product from zero to one and talking directly to your users - Substantial experience with agents that do engineering or other technical work - Experience building widely adopted CLI tools, developer-facing services, GitHub automation, or open source developer tools - Depth in progressive delivery, observability, VM orchestration, sandboxed execution, or workflow orchestration - Experience working in a large monorepo - Enough full-stack ability to put a usable interface on your tools - A point of view on how software engineering changes as agents write more of the code Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Partner Marketing Lead, Resellers
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Claude Partner Network (CPN) Reseller track lets authorized partners sell Claude directly to end customers. These partners bring Claude into accounts that Anthropic can't reach alone, and they need marketing that helps them build a real Claude practice: campaigns they can run with their own teams, funding they can put to work, and proof that moves them up through the partner tiers. This is a foundational, first-in-seat role with wide scope. You'll be the first dedicated partner marketer for the reseller track, and you'll lead it globally. You'll set its marketing strategy, define the standards and playbooks partners run against, and build the tier-advancement path from the ground up. You'll work across regions and with a network of agency partners to deliver programs at global scale. You'll shape how reseller marketing fits into Anthropic's broader partner strategy, working with Partnerships, Commercial Operations, Channel Account Managers, Partner Operations, Customer Marketing, and Communications to make sure reseller activity and Anthropic's direct sales point in the same direction. You'll also set the bar for the marketers who join the practice as it grows. Key responsibilities - Set the marketing strategy for the reseller track, including priorities, investment choices, and quarterly and annual plans that connect partner activity to registered pipeline and reseller revenue - Define the reseller marketing playbook and co-marketing standards, and keep them current as the program launches and expands - Represent the partner marketing perspective in program design, working with Partnerships, Commercial Operations, and Legal on how benefits, MDF, and tier criteria will work in practice - Build joint marketing plan templates for reseller partners, including campaign calendars and success metrics - Source, select, and manage the agency partners that support reseller programs globally, including scope, budgets, quality standards, and performance reviews, and build a regional roster that can scale as the program expands - Run partner-led campaigns with those agencies, using co-branded and localized kits for each market, and help partners adapt them for their own buyers - Own partner marketing funds (MDF) end to end: help partners build proposals, track approvals and documentation, and connect every funded activity to registered pipeline - Help partners reach their next tier by planning the customer stories, certification pushes, and public proof points each tier requires, on a timeline that fits the January and July tier reviews - Turn partner wins into customer stories with Customer Marketing, from interview through partner and Anthropic approvals - Coordinate joint announcements and press with Anthropic Communications, managing review timelines and holding partner copy to Anthropic's messaging and brand standards - Partner with Channel Account Managers and the field on audience and account targeting, so reseller campaigns extend Anthropic’s reach into new customers and partner and direct motions reinforce each other - Define how reseller marketing success is measured: set targets and KPIs for pipeline, reseller revenue, and campaign ROI, build the reporting, and use results to decide where to invest and what to change - Report on partner-sourced pipeline and reseller revenue influence, with 30/60/90-day tracking on every activation - Keep reseller partners informed through the CPN monthly broadcast and newsletter, and bring partner needs and results back into program planning Minimum qualifications - Have owned marketing strategy for a partner or channel program, setting priorities and investment decisions rather than only executing against them - Have built and run co-marketing programs with channel, reseller, or distribution partners, including partner-funded budgets (MDF, co-op, or similar) and ROI reporting - Have sourced and managed agencies or contractors across multiple regions, including scoping work, managing budgets, and holding quality standards - Have run marketing programs across multiple international markets - Understand indirect sales motions, including how partners find, register, and close deals, and can write marketing that reaches partner sellers as well as end customers - Can build joint plans and value propositions that articulate clear business outcomes for customers - Have defined success measures for a partner or channel program and used the results to change investment decisions - Are skilled at tracking program performance in a CRM or equivalent system, and can turn that data into clear recommendations - Write clearly and precisely, and can hold partner-produced copy to brand and approval standards - Build trusted relationships with partner marketing and sales teams, and can move priorities forward with partners you don't manage - Can make and defend decisions with incomplete data, and know when to escalate - Are highly organized and can run several partner plans at once without dropping quality - Are comfortable building new processes from scratch, in an environment where the playbook is still being written - Take ownership of outcomes and step in wherever the work needs you - Care about the societal impacts of AI and are excited about enabling organizations to adopt AI responsibly Preferred qualifications - Have 7+ years of marketing experience, with significant focus on partner marketing in B2B technology environments - Have launched or scaled a partner program from its early stages, including tier design, benefits, and promotion criteria - Have produced partner-led customer stories, including managing approvals and public announcement timelines - Have experience with cloud marketplace reseller motions, such as private offers or co-sell programs - Have localized marketing content and campaigns for multiple international markets - Have established relationships with resellers, distributors, or systems integrators - Have experience with partner relationship management tools and Salesforce partner data - Understand enterprise AI use cases across industries and functions - Have set standards for or mentored other marketers, formally or informally - Have used Claude or other AI tools to scale their own marketing work The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $400,000 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.
Internal Communications Manager: GTM
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an Internal Communications Manager to serve as a dedicated communications partner to our go-to-market (GTM) organization – the teams responsible for selling and diffusing Claude into enterprises around the world. Internal communications at Anthropic is not a support function that plans meetings and sends newsletters. The best people in this role operate like advisors who embed themselves deeply in the orgs they support, earn a seat at the leadership table, write on behalf of executives, and see around corners, anticipating what the organization will need to hear before anyone asks for it. There are traditional elements to the role too, like all-hands planning and org change announcements, and you'll run those with operational excellence. This role can be based in either San Francisco or NYC. Responsibilities - Own the internal communications strategy for your portfolio within GTM, becoming an expert in the team's work and a trusted member of its leadership support team - Serve as an advisor to our Chief Commercial Officer and their team - helping them think through what to say and when, draft communications in their voice, and give them expert counsel - People manage a small team (one/two directs), supporting the global GTM org - Translate complex sales strategy and customer stories into narratives that land with employees across every function - Anticipate communications needs before they arrive (e.g. launches, customer wins, organizational change, moments of external attention) and have a plan ready for how we’ll bring employees along - Design and implement strategies to boost signal and reduce noise, so employees know what's important and what it means for them - Plan and execute internal fora like all-hands and AMAs with operational excellence - Partner closely with the broader internal communications team to ensure updates are accurately and consistently cascaded across existing channels and live forums You may be a good fit if you - Have 12+ years of experience in communications or an adjacent craft where you learned to make complex, high-stakes material clear under pressure (e.g journalism, speechwriting, chief of staff work, strategy and operations) - Are an exceptional writer with a particular talent for distilling complex concepts into plain English, with a nose for great storytelling - Have served as a trusted advisor to senior leaders and know how to build those relationships: when to push, when to listen, and how to deliver a recommendation even when it’s something an exec may not want to hear - See the big picture and are able to connect individual team updates to company strategy and mission - Have a keen eye for organizational culture and can recognize authentic moments worth amplifying Strong candidates may also - Have worked at AI companies, frontier tech companies, or other organizations where the work moves faster than most people can follow - Have built or run internal communications programs during periods of rapid organizational growth 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: $295,000 - $345,000 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.
Strategic Delivery Lead, Critical Infrastructure
About the team The OpenAI for Government team is a mission-driven group bringing frontier AI to public-sector and national security missions. We partner with government agencies and their industry counterparts to apply OpenAI’s API and enterprise products to high-priority challenges, with careful attention to security, privacy, reliability, and responsible use. In this role, you will help government agencies, infrastructure owners and operators, and technology partners apply frontier AI to strengthen critical infrastructure security and resilience. You will connect technical teams and mission leaders to develop practical applications for cyber defense and operational preparedness across sectors such as energy, water, healthcare, financial services, and the defense industrial base. We accelerate adoption through hands-on support, tailored enablement, and measurable outcomes while preserving human judgment and protecting sensitive information. About the Role The Strategic Delivery Lead (SDL) for Critical Infrastructure will identify, shape, and deliver OpenAI’s highest-impact engagements supporting the security and resilience of U.S. critical infrastructure. You will help government and industry partners translate priorities—including cyber defense, vulnerability management, incident preparedness and response, infrastructure risk analysis, and operational coordination—into secure, technically feasible AI deployments. This role sits at the intersection of technical delivery, public-private collaboration, and national cyber strategy. You will work with federal agencies, infrastructure operators, and technology providers to define shared goals and turn promising pilots into sustainable operational capabilities. Internally, you will partner with Research, Engineering, Go-to-Market, Security, Legal, Privacy, and other teams to align scope, resolve delivery obstacles, and communicate progress from working teams to senior leadership. You will own end-to-end execution of delivery workstreams with Forward Deployed Engineers, Researchers, Solutions Architects, and Enablement teams. You will establish outcomes, requirements, roadmaps, milestones, dependencies, and acceptance criteria; coordinate integration, evaluation, security review, and rollout; and remain accountable for contractual milestones, delivery governance, and measurable customer value. This is a high-trust, high-autonomy role. Success requires technical fluency, strong program leadership, executive presence, and sound judgment about deploying AI in environments where service continuity and public trust matter. In this role, you will: - Build trusted relationships with government mission owners, cyber leaders, sector risk management agencies, infrastructure owners and operators, and technology partners to identify and prioritize high-value AI applications. - Own complex engagements from discovery and solution shaping through pilot, security review, deployment, customer acceptance, and sustained adoption. Establish delivery roadmaps, integrated schedules, risk tracking, decision processes, and customer reporting. - Translate critical infrastructure missions, cyber risks, policy requirements, data constraints, and operating conditions into clear technical requirements, delivery plans, and executive communications. - Develop public-private delivery efforts with federal cyber agencies, sector partners, cloud providers, and cybersecurity companies. Align organizations with different incentives, resources, and definitions of success around shared operational outcomes. - Lead delivery of AI capabilities supporting defensive workflows such as vulnerability discovery and prioritization, secure software development, threat analysis, incident response, and infrastructure risk assessment, partnering with technical and operational experts on design, evaluation, and execution. - Coordinate deployment requirements across government and enterprise environments, including sensitive or restricted networks where appropriate. Address data handling, identity and access controls, integration dependencies, and customer security requirements. - Work with security, privacy, legal, and operational stakeholders to establish evaluations, human oversight, adversarial testing, and ongoing monitoring appropriate to each use case, including potential effects on operational technology and essential services. - Define and track measures of customer value, including user adoption, model quality, operational readiness, time saved, and improvements in defensive effectiveness. - Bring insight from customers and partners back to Research, Product, and Engineering to inform capability development and deployment priorities. Anticipate technical, operational, contractual, and partnership risks and resolve delivery tradeoffs. - Support opportunity qualification, proposal development, and statements of work with Account Directors and partners. Define a practical path from pilot to sustained adoption, including operational ownership, resources, funding, and measures of success. You might thrive in this role if you: - Have 10+ years of experience leading critical infrastructure, cybersecurity, national security, or complex technical programs, including substantial experience working with U.S. government agencies and industry partners. - Hold an active U.S. Government TS/SCI clearance and can meet customer-specific access requirements. - Are willing to travel up to 50% and work on-site with customers and partners to understand their missions, users, and operating environments. - Understand the U.S. critical infrastructure ecosystem, including federal cyber agencies, sector risk management agencies, infrastructure owners and operators, and the public-private partnerships that support national resilience. - Have led complex programs or public-private initiatives from strategy and planning through execution and sustained operations. Can translate policy objectives into technical work streams, clear ownership, and measurable results. - Bring executive presence and experience advising senior government, industry, and technical leaders. Can explain complex cyber and AI issues, address objections, and build agreement across organizations. - Have the technical fluency to work credibly with researchers, engineers, and cyber practitioners. Understand modern AI solution architectures—including large language models, enterprise APIs, retrieval-augmented generation, agentic workflows, and data integration—and can work with technical teams to assess feasibility, evaluation needs, and delivery risks. - Can turn customer outcomes into requirements, statements of work, integrated schedules, acceptance criteria, and evaluation plans. Understand what makes a pilot operationally and financially sustainable. - Understand the security and reliability constraints of critical infrastructure, including the relationship between information technology, operational technology, and continuity of essential services. - Build durable partnerships across government, industry, research, and technical teams. Create clarity in ambiguous situations, adapt when evidence changes, and build trust through accountability, curiosity, and open communication. - Care deeply about strengthening national resilience and helping critical infrastructure partners use frontier AI safely, responsibly, and effectively. 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.
Researcher, Safety - Frontier Assurance
About the team The Frontier Assurance team strengthens OpenAI’s safety decisions through independent expertise, rigorous assessment, and public transparency. We coordinate external evaluations of frontier models and safeguards, develop approaches such as embedded auditing, and manage the misalignment disclosure process and safeguard testing. Our work helps independent experts scrutinize OpenAI’s safety approach and ensures their findings inform consequential decisions about advanced AI systems. About the role As a researcher on Frontier Assurance, you will build the technical foundations for rigorous assessments of frontier AI risks. You will help design technical assessments with external evaluators and internal teams: identify consequential safety claims to test, define the evidence and methods needed to assess them, and address gaps in coverage. You will work closely with external evaluators and embedded auditors, helping them understand the systems they are assessing and access the models, data, and technical information their work requires. Where direct access is not possible, you will conduct experiments and analyses on their behalf, with methods and results they can meaningfully scrutinize. This role combines research engineering, experimental design, and close technical collaboration. You will move between investigating specific safety questions, navigating complex internal systems, and building reusable tools that make assessments more thorough and efficient. Your work will help turn independent scrutiny into concrete evidence about model capabilities, safeguards, and remaining risks. In this role, you will: - Help design assessments with external evaluators and internal teams: identify consequential safety claims to test, define the evidence and methods needed to assess them, and address gaps in coverage. - Support the technical execution of third-party assessments and embedded audits focused on frontier risks, working with evaluators to translate research questions into experiments, analyses, and evidence requirements. - Pair closely with external researchers to provide the data, technical documentation, and context needed to assess models and safeguards. Help them understand relevant system behavior, configurations, and limitations. - Design and implement secure access to assessment environments, working with research, engineering, and security teams to make relevant models, tools, and information available. - Conduct experiments and run analyses on evaluators’ behalf when direct access is constrained. Develop methods collaboratively, document implementation choices, and make results reproducible and open to challenge. - Build tooling that automates auditing, assessment workflows, and internal assurance work, including evidence collection, evaluation execution, and tracking changes across model or safeguard versions. - Reproduce external findings, investigate discrepancies with internal results, and work with relevant teams to test proposed mitigations and identify unresolved questions. - Document methods, findings, and limitations clearly so that evaluators and internal decision-makers can understand what the evidence establishes and where uncertainty remains. You might thrive in this role if you: - Have strong software engineering skills and experience building research tools, evaluation infrastructure, or systems for analyzing complex data. - Have practical experience working with modern machine learning systems, including designing experiments, running evaluations, and interpreting results. - Can navigate unfamiliar codebases and infrastructure, debug across system boundaries, and turn ambiguous research requests into reliable technical implementations. - Bring sound judgment to experimental design and measurement, including identifying confounders, limitations, and gaps in evidence. - Enjoy working closely with researchers, explaining technical systems, and helping others investigate difficult questions. - Value independent scrutiny and can support rigorous assessments that challenge internal assumptions. - Have an understanding of, or strong interest in, frontier AI risks, alignment, and the evaluation of safeguards. Experience with AI safety evaluations, adversarial testing, security research, or technical auditing would be especially relevant. 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.
IT Systems Engineer, M&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's Corporate Systems team runs the core collaboration platforms everyone here works in and builds the tooling and automation behind IT. That responsibility extends to the companies we acquire. Their people, devices, and systems have to come into Anthropic securely. You'll own the IT side of Anthropic's acquisitions: due diligence, integration planning, and integration. Before close, you'll assess a company's IT environment and give the deal team a clear read on risk and effort. You'll define the technical integration plan and its requirements: what moves, where it lands, in what order, what has to be ready on day one, and how each security gap gets closed. After close, you'll carry out that plan and bring the company's people, devices, and systems onto our stack. This is a hands-on engineering role. You'll hold admin, write code, build automation, run the cutovers yourself and bring in other teams when the work calls for their expertise or support. You'll lead this work for IT Engineering and partner with Security, Corporate Development, Legal, People, and Finance at every stage. M&A will be your primary focus and responsibility, but you'll be a full member of the Corporate Systems team; taking part in planning and reviews, using and contributing to the team’s tooling, and contributing to the roadmap. Early on, M&A will be most of your work, including using Claude to automate the repeatable parts of diligence and integration. As that automation matures, and when M&A load is light, you'll contribute to other parts of the team’s roadmap. Responsibilities - Lead technical IT due diligence: assess a company's identity, applications, endpoints, and infrastructure, and brief the deal team on risk and effort before close - Find the gaps between an acquired environment and Anthropic's security model, rate them, and build the mitigations into the integration plan - Define the technical integration plan and its requirements: what moves, where it lands, in what order, and what has to be ready on day one - Run the integration: take over administration, migrate people, devices, and data, and retire what's no longer needed, with support from other IT Engineering teams as required. - Work with Business Technology, Client Platform, Corporate Network, IT Operations, and Security on their parts of each integration - Keep Corporate Development, Legal, People, Finance, and the acquired company's team clear on where IT stands - Build a repeatable IT M&A playbook and automate as much of it as possible with Claude - When M&A work is light, contribute to core Corporate Systems projects You may be a good fit if you have - 8+ years as a hands-on engineer in corporate IT. You have designed and shipped systems, carried out migrations or integrations yourself, and owned at least one area end-to-end, with experience supporting other areas: identity, applications, endpoints, or corporate infrastructure - Experience administering enterprise identity and collaboration platforms such as Google Workspace, Slack, and an SSO provider, and working code in Python or similar against their SaaS APIs - Working knowledge of endpoint management and security concepts, enough to lead diligence on an unfamiliar fleet - A proven ability to understand an unfamiliar IT environment quickly and deliver a prioritized view of risk to non-specialists - A record of leading technical projects that span several teams and run to a fixed date, while doing much of the engineering yourself - Comfort working autonomously, with ambiguity and confidential information - Clear communication with executives, legal and corporate development teams, and engineers at acquired companies Strong candidates may also have - Prior M&A, carve-out, or company-to-company migration experience - Experience across the full stack: endpoints, systems, applications, and infrastructure - Hands-on experience managing a device fleet or running an MDM - Experience working in or alongside a security team - A record of building tooling that replaces manual IT work - Using Claude or similar tools as a core part of how you work Representative projects - Assess an acquired company's IT environment that nobody here has seen and produce a prioritized integration plan within days - Design a way to size integration effort and risk for a company of any shape or size - Automate bringing acquired people and devices onto Anthropic's identity and device management - Write the IT risk memo for a live deal and present it to Corporate Development and Security leadership Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $325,000 - $360,000 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.
Engineering Manager, Claude Platform
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 Developers and enterprises build on Claude through the Claude Platform. Our models are getting exponentially more intelligent, and our APIs and developer tools need to evolve just as quickly so developers can take advantage of that intelligence safely. We're hiring Engineering Managers to lead teams that build these APIs and developer tools. We are shipping APIs and infrastructure for building and running agents in production. These APIs ship alongside SDKs, docs, and tooling that developers (and agents!) utilize in order to build high quality integrations. These abstractions are backed by our identity, verification, and trust platform, which lets us scale access to Claude responsibly. Key responsibilities - Lead a team of engineers to ship high quality work quickly, owning planning, prioritization, delivery, and operational health - Partner with product to set your team's roadmap, and bring a strong point of view on what developers need - Talk to customers directly and turn what you learn into engineering priorities - Guide API design and architecture decisions for distributed systems that have to stay reliable as usage grows - Work closely with Research, Safeguards, Security, and go-to-market teams to bring new model capabilities to developers safely - Recruit, coach, and grow strong engineers Minimum qualifications - You have experience managing high-performing software engineering teams shipping developer products, including hiring, coaching, and performance management - You're product-minded and customer-oriented. You care about who uses what your team builds, and you've shaped roadmaps alongside product partners - You've built and scaled distributed systems in production, and you have the technical depth required to guide architecture and API design - You've led teams that ship quickly and hold a high quality bar - You collaborate well across functions and can align teams you don't manage - You care about Anthropic's mission and about developing AI safely Preferred qualifications - Experience building agent infrastructure or products on top of LLMs - Experience with identity, verification, access control, or trust and safety systems Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Developer Relations Manager, Claude Platform
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 the Developer Relations Manager for Claude Platform at Anthropic, you will lead the team responsible for how developers discover, onboard, build, and scale applications using the Claude Platform. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development, and ensuring our Platform is used responsibly across a diverse range of implementations. You'll set the vision and strategy for growing and engaging Claude Platform’s developer community. Your success in this role will directly shape Anthropic's growth trajectory and market position while ensuring our APIs are used to create safe, positive outcomes. Building strong relationships between our developer community and internal teams will be essential as we advance our mission of creating safe AI. Key responsibilities Set the Vision and Drive Strategic Impact - Build and execute the strategy for how developers discover and grow their integrations on the Claude Platform - Build and execute the strategy for content the team produces to educate developers on building high quality integrations on top of the Claude Platform - Collaborate with product and engineering leadership to ensure developer feedback informs the roadmap - Prioritize initiatives based on data, feedback, and the needs of both developers and Build and Lead a World-Class Team - Pioneer the definition of what world-class developer relations looks like in this quickly evolving field - Recruit, inspire and scale a high-impact developer relations team with global reach and representation across key markets - Foster a collaborative culture that embodies Anthropic's values while driving innovation in how we engage developers - Create and implement scalable processes that evolve as both the team and developer ecosystem expand - Establish clear growth paths and development opportunities for team members that align personal advancement with delivering exceptional value Drive Alignment and Innovation Through Cross-Functional Leadership - Act as an advocate for Claude Platform developer needs at Anthropic, translating developer feedback into strategic initiatives - Collaborate with Research to translate AI capabilities into accessible educational resources - Partner with Communications and Marketing teams to amplify developer success stories - Ensure best practices for responsible AI use are adopted by developers building on the Claude Platform Minimum qualifications - You have experience building and leading developer relations, developer experience, or technical product teams, with a proven track record of measurably growing developer ecosystems - You're technically credible. You understand AI/ML and API concepts and translate complex technical ideas for various audiences ranging from individual developers to enterprise executives - You have hands-on technical abilities. You’re capable of creating your own code demos, critically reviewing developer content for quality and best practices, and providing specific technical feedback that elevates the work of your team - You have insight into developer psychology and behavior. You know how to reach developers through the right channels, build authentic affinity for products, and design education programs that drive meaningful adoption - You're passionate about AI's potential and deeply committed to ensuring it's developed responsibly, with a genuine interest in AI safety and ethical considerations - You're a collaborative leader who can influence across teams without direct authority, building strong relationships with stakeholders at all levels - You have experience scaling teams in high-growth environments and can adapt quickly as priorities evolve Preferred qualifications - Experience working specifically with AI developer platforms - Public speaking experience at industry conferences and events - Content creation experience (technical writing, video tutorials, etc.) Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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 - $435,000 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.
Head of Strategic Partnerships, Labs
About Scale AI Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. The Role Scale is looking for a seasoned leader and operator to own Scale Enterprise's partnerships with frontier AI labs and foundation model providers. This leader will build and turn our lab relationships into a go-to-market and technology advantage for the Enterprise business. This is a revenue-minded role. You will build joint go-to-market motions with model providers, structure technology and commercial partnerships, and make sure Scale is the preferred partner for taking lab models into production at enterprise scale. You need to be strategic, technically fluent, and able to execute in a fast-moving, competitive market. This role is highly cross-functional. You will work closely with Enterprise sales, product, engineering, research, finance, legal, and marketing. You will also coordinate with Scale's broader relationships with these labs. You will - Define and deliver the strategy for Scale Enterprise's partnerships with frontier AI labs and foundation model providers - Build trusted relationships with go-to-market, partnerships, applied AI, and executive leaders at partner labs - Structure and negotiate partnerships covering joint go-to-market, co-selling, referrals, model access and commercial terms, and technical integrations - Build joint offerings that pair partner models with Scale's applications, evaluation, and data capabilities to speed up enterprise deployments - Set up co-sell motions and rules of engagement with lab enterprise sales teams, including joint account mapping and deal registration - Generate significant top-of-funnel pipeline through lab partnerships, with clear accountability against Enterprise revenue targets - Work with Product, Engineering, and Research so new model capabilities and partner integrations get to Scale's Enterprise customers quickly - Track the model landscape and advise leadership on where to partner, where to integrate, and where to differentiate - Work with Scale's broader lab relationships so the company presents a consistent, coordinated partnership strategy - Own post-signature execution: integration delivery, joint marketing and launches, and regular business reviews - Be measured on (1) partner-sourced and influenced revenue, (2) product and roadmap advantages gained through partnerships, and (3) the strength and breadth of Scale's model partner ecosystem Ideally you’d have - 12+ years in revenue-carrying business development, strategic partnerships, or alliances at a technology company, with recent experience in AI, ML, or cloud platform ecosystems - Existing relationships with partnerships, go-to-market, or leadership teams at frontier AI labs or major foundation model providers - Strong technical fluency in LLMs, model deployment, evaluation, and enterprise AI architecture, with the ability to hold your own with research and engineering teams - A track record of structuring complex technology and commercial partnerships, including co-sell and platform agreements - Experience managing partners that may also be competitors in some areas - Comfort working in a highly matrixed organization and influencing without direct authority - Entrepreneurial drive, comfort with rapid change, and an analytical, data-driven approach to strategy - Bachelor's degree required Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $134,400 - $168,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Strategic Finance Partner, GPT Infra
About the Team We partner with technical and business leaders to turn advances in AI into useful products and sustainable businesses. Strategic Finance supports complex infrastructure programs by evaluating investment choices, commercial opportunities and operating performance. About the Role We are looking for a hands-on finance professional with direct experience supporting silicon design or semiconductor development programs. You will own financial models, deal analysis, forecasts and operating reviews, working with engineering, research and commercial teams to translate technical milestones and investment needs into clear business decisions. You will partner with the finance leader on priorities, resource allocation and significant decisions. In this role, you will: - Own financial models, budgets, forecasts and performance reporting for priority programs, including headcount and investment tracking. - Translate silicon development milestones, cost drivers and infrastructure requirements into investment and pricing recommendations. - Evaluate customer and partner economics, including engineering support, compute, tooling, licensing and contingent commitments. - Build and maintain customer- and program-level revenue, cost of goods sold, gross margin and cash reporting with Engineering, Finance Operations and Accounting. - Support deal negotiations and renewals with scenario analysis, proposed terms and clear financial guardrails. - Present actionable recommendations, coordinate inputs across teams and escalate material risks or unresolved tradeoffs. You might thrive in this role if you have: - Direct finance experience supporting silicon design or semiconductor development, including ownership of development investment, program costs, pricing or commercialization models. - Practical understanding of silicon design and validation milestones, PPA, die and manufacturing economics, and the risks that affect program value. - Demonstrated ownership of complex financial models, forecasts, deal economics and recurring management reporting. - Strong quantitative judgment, hands-on modeling and clear communication with technical and commercial stakeholders. - Curiosity, intellectual honesty and the ability to move ambiguous work forward independently while seeking guidance on consequential decisions. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Applied AI Engineer, Digital Natives
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. Production-ready 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 Munich. 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 and digital native 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 might 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, product engineering or technical consulting. - Are fluent in both German and English - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or engineering of production systems—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.
Policy Development, Technical AI Governance
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 believes AI capabilities are improving rapidly, and that AI safety policy needs to keep pace. Our Policy Development team translates technical insights into workable new policy ideas for governing frontier AI. As a policy analyst, you will drive our work on technical and cross-lab safety practices, deepen our work on frontier AI legislation, and develop new technical governance ideas that you pressure-test with researchers and carry into policy proposals. You will work closely with policy colleagues and with research, alignment, safety, and legal teams, and you’ll move easily between technical detail and how policy actually gets made. Key responsibilities - Help develop technical safety best practices and standards for frontier development, working closely with policy, research, and safeguards teams - Support cross-lab discussions and initiatives and serve as the Anthropic representative in key standards initiatives and groups - Review and give substantive input on federal, state, and global frontier AI safety bills, including on risk reporting, independent evaluation, and incident reporting, helping shape AI safety legislation development - Work with our external affairs policy teams to strengthen our frontier AI legislative framework - Contribute research and analysis across the policy team’s pacing workstreams, including developing novel policy proposals that address challenges related to the acceleration of AI R&D - Engage with the external AI safety and governance community to track new thinking and feed it into our own - Write clear memos and briefings that help leadership align on decisions Minimum qualifications - Are fluent in frontier AI safety and technical AI governance: the main players, proposals, and debates - Can read legislative text and comment usefully on it - Have expertise in any of the following domains: loss-of-control, alignment, compute governance, independent evaluation, model weight security, risk reporting - Write clearly for researchers, leadership, and policymakers - Can pick up new technical topics quickly and translate them to the broader policy landscape - Are comfortable with ambiguity and can own a project end to end Preferred qualifications - Are excited about standards work, and also want to contribute across the wider technical governance agenda - Have direct experience in an AI governance or safety research organization or frontier lab - Have experience working closely with standards bodies or industry consortia - Have experience developing and shaping technical legislation - Have published novel policy thinking on AI governance 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.
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