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Software Engineer, GenAI Platform
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. About the role: Foundation AI builds the platforms, services, and infrastructure that enable machine learning and generative AI across Roblox. In this role, you’ll work across areas such as model training and inference, LLM services, Agent infrastructure, data systems, experimentation, evaluation, and developer tooling while learning how to build reliable systems at scale. You’ll design, code, test, launch, and operate production features, partnering with teams across product, research, data, infrastructure, safety, creator, engine, discovery, and economy. You will report to an Engineering Manager within Foundation AI organization. You will: - Build platforms and services that power machine learning, generative AI and agentic platform and product experiences across Roblox. - Explore emerging technologies, including ML frameworks, LLMs, agentic systems, distributed systems, and GPU infrastructure. - Improve the speed, reliability, observability, and cost efficiency of AI development - Contribute to systems operating at Roblox scale while balancing quality, latency, reliability, and responsible data use. You have: - You have an undergraduate/graduate degree in computer science or equivalent experience in engineering, a related technical field. - 1–3 years of experience in software engineering, distributed systems, cloud services, or a related area. - Experience building projects through coursework, internships, research, or personal work. - Working knowledge of one or more programming languages, such as Go, Python, or Rust, along with an interest in learning new technologies. - Interest in machine learning, generative AI, distributed systems, data infrastructure, or developer platforms. - Strong communication skills and a willingness to collaborate across teams and disciplines. 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 $153,120 - $196,750 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.
Senior Software Engineer (Backend/Product focus, A...
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. As a Senior Software Engineer on the AIaaS (AI-as-a-Service) team, you will be responsible for building the production systems that enable the safe and reliable deployment of our cutting-edge 3D and 4D generative AI models. You will design, implement, and scale robust, high-performance product infrastructure to orchestrate the complex workflow for producing high-fidelity 3D and 4D textured meshes. We are seeking accomplished software engineers with a passion for developer-facing product APIs, experience building large-scale distributed systems, and a commitment to writing high-quality, well-tested code to solve complex GenAI serving challenges at scale. You Will: - Design, build, and own critical components of the product infrastructure supporting our generative AI efforts focusing on usability, reliability, scalability, and performance. - Develop delightful, intuitive, easy to use developer-facing APIs for democratizing 3D creation. - Build seamless integrations with other sub systems such as Pricing, Orchestration, Safety with an eye for observability. - Implement robust pipelines for collecting datasets and evaluating to build safe and compliant multimodal AI systems. - Collaborate closely with Product Managers, other partner teams in Roblox Engine and Infrastructure to ship reliable products. - Drive improvements in product & backend infrastructure architecture, engineering best practices, and operational excellence. - Ensure data quality and governance are implemented at the system level through automated checks and monitoring. You have: - Have minimum 5+ years of professional experience and a tool chest of system design experience upon which to draw to build scalable, reliable platforms for all of Roblox. - Experience architecting, designing, and developing a wide-array of software products. - Thrive in building complex, high-scale distributed systems from the ground up. - Are passionate about the potential of generative AI, particularly in creative domains like 3D/4D content. - Are comfortable operating in a dynamic, fast-paced environment. - Excel at writing clean, efficient, well-tested code in languages like Python, C#, or Go. - Have experience with cloud data platforms and distributed processing technologies (e.g., Kubeflow, Temporal, S3, etc.). - Value collaboration and enjoy working closely with cross-functional teams, especially product managers, researchers, and ML engineers. - Bachelor's degree or higher in Computer Science, Computer Engineering, Data Science, or a similar technical field. 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 $243,290 - $295,250 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.
Distinguished Engineer, Machine Learning - Discove...
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. As a Distinguished Engineer/Technical Director on Discovery, you’ll be in charge of the overall technical vision and execution for all machine learning initiatives across search and discovery teams. The mission of these teams is to connect a billion users with the best connections and content at the right time, covering a very diverse range of search and recommendation problems at a high scale. This is fundamental to how we personalize the experience to drive engagement and retention for Roblox users. With daily active users growing at a record rate, we are looking for expert tech leaders who are passionate about crafting and building machine learning solutions to power Search and Recommendations. You Will: - Own the technical direction and implementation for the machine learning solutions that power the search and recommendation systems, driving Roblox content distribution. - Author specs for new features and improvements. You would be responsible for setting the AI strategy, pushing the frontier of recommendation technology, and driving business outcomes across candidate generation, ranking, objective functions, and value delivery for both users and developers. - Build and evolve infrastructure for training, serving, and evaluating both traditional ML models and Generative AI models (e.g., embedding-based retrieval, transformers, LLM-based workflows) - You will co-design models and systems, working at the intersection of model architecture and infrastructure, partnering closely with core modelers, data and AI infrastructure engineers, and product teams to push the boundaries of large-scale training and serving. - Lead other engineers by example and through technical direction as an individual contributor and create an engineering culture of excellence - Become an authority on our technology stack and make sure we always build new solutions the right way - Collaborate with other teams within Roblox to make sure we are building products with community and company first attitude. - Balance researching new technologies with a practical approach to realize the research efforts into the Roblox products - Collaborate with the industry and communities where applicable and be ambassador for Roblox. You Have: - 10+ years of experience and a consistent record of delivering and improving large-scale search and recommendation systems. - Experience crafting and building large scale machine learning models with billions of parameters and launching them into production. - The capability of breaking down long-term product requirements into iterative deliverable stages. - Initiated and facilitated challenging technical decisions across multiple teams and organizations. You are empathetic and find common understanding. - Deep technical expertise, you always start with the needs of the user, whether they are Roblox users or internal engineers. - A generalist approach and you have mastered several languages and technologies already; you can easily adapt to any situation. - The ability to roll up your sleeves to tackle data problems or machine learning problems when they come up. - A creative and strategic approach to solving hard problems. You simplify the complex. You bring in fresh ideas from new places. - BS in Computer Science or a related discipline, MS/PhD are a definite plus. 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 $419,390 - $457,970 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Principal AI Programmer, Unreal Assistant
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. PROGRAMMING - UNREAL ENGINE What We Do Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of programming experts are always innovating to improve the tools and technology that empower content developers worldwide. What You'll Do We're looking for a Principal Al Programmer who builds products that integrate Al into Unreal Engine. You'll design and ship the full stack of systems that let LLMs act inside the engine (from end to end, not just a single layer), bringing depth in game engine architecture, cloud services, and how LLMs actually work. In this role, you will - Design and build LLM-driven agents and tools that operate directly inside Unreal Engine, including engine-side C++/Python tooling and editor scripting - Design and extend the cloud-hosted agent harness, services, and database that mediate between LLMs and the engine - Work across the full stack (engine tooling, cloud backend, and the web UI used to drive and monitor agents) to ship end-to-end features - Evaluate and integrate emerging LLM capabilities (tool use, multi-agent orchestration, context management) into Epic's engine and pipeline tooling - Define technical direction for the reliability, safety, and evaluation of LLM-driven engine automation - Partner closely with engine, tools, and backend programmers, and mentor others on both game engine internals and LLM system design What we're looking for - Strong software programming background with hands-on experience in a game engine (Unreal Engine strongly preferred), including engine architecture and tooling/editor scripting - Practical experience building or shipping products powered by LLMs (agents, tool-calling, RAG, prompt/context programming), or a strong conceptual understanding of how LLMs work - Experience with cloud-native services and infrastructure: web APIs, databases, and service architecture and deployment - Excellent programming skills across C++ (engine-side) and Python and/or a web backend language - Ability to work full-stack and reason about tradeoffs across engine code, backend services, and a web front end - Excellent written and verbal communication skills - BS/MS in Computer Science or a related field EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Pay Transparency Information The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic’s generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs). British Columbia Base Pay Range $274,049 - $401,939 CAD ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .
Principal AI Engineer, Unreal Assistant
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ENGINEERING - UNREAL ENGINE What We Do Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of engineering experts are always innovating to improve the tools and technology that empower content developers worldwide. What You'll Do We're looking for a Principal Al Engineer who builds products that integrate Al into Unreal Engine. You'll design and ship the full stack of systems that let LLMs act inside the engine (from end to end, not just a single layer), bringing depth in game engine architecture, cloud services, and how LLMs actually work. In this role, you will - Design and build LLM-driven agents and tools that operate directly inside Unreal Engine, including engine-side C++/Python tooling and editor scripting - Architect and extend the cloud-hosted agent harness, services, and database that mediate between LLMs and the engine - Work across the full stack (engine tooling, cloud backend, and the web UI used to drive and monitor agents) to ship end-to-end features - Evaluate and integrate emerging LLM capabilities (tool use, multi-agent orchestration, context management) into Epic's engine and pipeline tooling - Define technical direction for the reliability, safety, and evaluation of LLM-driven engine automation - Partner closely with engine, tools, and backend engineers, and mentor others on both game engine internals and LLM system design What we're looking for - Strong software engineering background with hands-on experience in a game engine (Unreal Engine strongly preferred), including engine architecture and tooling/editor scripting - Practical experience building or shipping products powered by LLMs (agents, tool-calling, RAG, prompt/context engineering), or a strong conceptual understanding of how LLMs work - Experience with cloud-native services and infrastructure: web APIs, databases, and service architecture and deployment - Excellent programming skills across C++ (engine-side) and Python and/or a web backend language - Ability to work full-stack and reason about tradeoffs across engine code, backend services, and a web front end - Excellent written and verbal communication skills - BS/MS in Computer Science or a related field EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .
Member of Technical Staff (Search Core DevOps Engi...
Perplexity is seeking a DevOps engineer to join our small team in revolutionizing the way people search and interact with the internet. You will be responsible for leading the design, implementation, and scaling of the infrastructure, tooling and systems that support our Search feature. The ideal candidate should have experience in designing highly scalable infrastructure, building systems, tools and performing testing, monitoring, and maintenance. Our backend stack includes Python, Go, Rust, PostgreSQL, DynamoDB, Redis, and Kubernetes - built alongside dedicated in-house AI and search interfaces. Responsibilities: - Design and implement highly available, high-performance, and scalable systems. - Design and implement various tools for other engineers helping them with their day to day job. - Design and implement CI/CD and other workflows to enhance stability, robustness and speed of iteration. - Maintain and optimize key-value and relational databases. - Scale and load balance web server backends to meet rapidly changing needs. - Monitor systems and applications, proactively identifying and resolving reliability, scalability, or performance issues. - Develop monitoring tools, alerts, and dashboards to provide visibility into system health and performance. Qualifications: - Strong experience with cloud infrastructure built on AWS. - Proficient in database management and caching strategies. - Excellent problem-solving and troubleshooting skills, with the ability to analyze, debug, and resolve complex technical issues. - Experience working with containers (Docker, Kubernetes) and orchestration tools. - Excellent communication and collaboration skills. - Experience with Python and Terraform. - 3+ years of DevOps/SRE/System Administration experience.
Technical Recruiter
About the Team At OpenAI, we are dedicated to building safe artificial general intelligence (AGI) to benefit all of humanity. Our mission attracts the world’s top talent in science, engineering, and business to address one of the most ambitious challenges of our times. The Recruiting team is at the heart of this mission, tasked with identifying and hiring exceptional individuals who align with OpenAI's values and cultural ambitions. Our approach to recruitment aims to set the standard for excellence and innovation in the field, connecting outstanding candidates with opportunities to impact the future of AI. About the Role Our team is growing to help OpenAI build the next phase of highly capable intelligent computer systems. We’re looking for a highly experienced Recruiter who advises hiring managers and partners closely with senior leaders across the organization. You're driven to work on high-value talent initiatives and are close to the industry’s most sought-after talent. You’ll work with our existing team members—including technical recruiters, coordinators, sourcers, and cross-functional partners—to drive key hires across engineering, AI, and technical domains. In this role, you will: - Independently manage stakeholder expectations for top-of-funnel initiatives across the business - Partner with executives and hiring managers to deeply understand current and future hiring needs - Design and execute strategic sourcing plans to map talent and drive top-of-funnel activity - Own the candidate experience from first engagement through loop interview stage, delivering exceptional service and fast turnaround - Act as a thought partner to hiring teams, offering talent market insights, funnel data, and best practices - Source technical talent through creative outreach, events, and passive campaigns - Build and maintain nurturing campaigns and brand-forward recruitment marketing efforts You might thrive in this role if you have: - 8+ years of progressive recruiting experience in high-growth, premier tech environments - Proven success hiring in niche and competitive technical talent markets - Strong interpersonal skills and the ability to build trust with senior stakeholders - Clear, compelling written and verbal communication skills - Comfort navigating ambiguity and shifting priorities in a fast-paced environment About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Executive Director, Clinical Pharmacology/Pharmaco...
Your work will change lives. Including your own. The Impact You'll Make: You will join an innovative and passionate clinical development team dedicated to improving the lives of patients suffering from devastating diseases. You will lead the innovative clinical pharmacology and pharmacometrics strategy and execution for a portfolio of rare disease and oncology clinical programs. In this role, you will: - Develop the clinical pharmacology and pharmacometric strategies to accelerate and support the overall product development plan. You’ll be the Clinical Pharmacology lead for various programs in clinical development, the representative for regulatory interactions, and propose innovative strategies to get therapies to patients faster. - Solve drug development questions/problems by performing and/or overseeing modeling and simulation with various tools to expedite decision making. - Design clinical studies. You’ll provide (clinical) pharmacology input on all clinical study designs, from Phase 1-3 and dedicated Phase 1 clinical pharmacology studies. - Author review relevant clinical pharmacology sections for regulatory documents, including Investigator's Brochures (IB), INDs, NDAs, and other regulatory submissions. Act as the clinical pharmacology expert during interactions with health authorities. - Interface with cross-functional teams. You’ll work closely with clinical study teams, translational teams (DMPK, Translational Modeling and Toxicology), preclinical teams and due diligence teams to ensure clinical pharmacology-related considerations are addressed. The Team You’ll Join You will join the Pharmacometrics team within Recursion comprising clinical pharmacology, pharmacometrics, and translational modeling. The Pharmacometrics group sits within Recursion’s Clinical Development organization. Team members get to sit on both Discovery and Development projects and work in a seamless end-to-end environment at Recursion. The team collaborates closely with clinical development functions (clinical science, clinical operations, regulatory affairs, biostatistics, etc.), as well as discovery functions (DMPK, Biology, Chemistry and Translational Biomarkers). The Experience You’ll Need - Ph.D. in Pharmaceutical Sciences, Pharmacokinetics or related discipline, M.D with a Clinical Pharmacology expertise, or a Pharm D. with a Clinical Pharmacology fellowship, with 10+ years of experience in biotech/pharmaceutical drug development. - Demonstrated success leading all clinical pharmacology related aspects of drug development. - Ability to work closely with internal and external stakeholders to manage PK, PK-PD, and PK-safety analyses, including non-compartmental analysis, population PK modeling, and PK-PD modeling and simulations to support dose selection, exposure-response and exposure-safety analyses through various phases of drug development. - Proficiency with WinNonlin, Monolix, NONMEM, R or other modeling software. - Effective skills directed toward driving collaboration, achieving results, influencing, and resolving conflicts across internal and external stakeholders - Demonstrated experience responding to regulatory agency questions, preparing clinical pharmacology aspects of regulatory submissions and attending regulatory meetings. - Highly motivated, decisive, and results-oriented individual who is proactive, resourceful, and efficient with the flexibility and creativity to excel in and contribute to a rapidly growing drug discovery and development company Experience in oncology is preferred, but not an absolute requirement. Working Location & Compensation: This is a remote position based in the United Kingdom with required periodic travel. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: £136,500 –£167,200 . In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-REMOTE LI-ES1 The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Wireless Regulatory Engineer - SAR
Wireless Regulatory Engineer – SAR About the Team The Consumer Devices team at OpenAI builds products that bring advanced AI capabilities into thoughtfully designed consumer experiences. We work across hardware, software, design, and research to develop reliable products from early exploration through production. About the Role We’re looking for a Wireless Regulatory Engineer to support RF exposure compliance for consumer hardware. You’ll work closely with RF, antenna, hardware, software, and regulatory teams throughout the product development lifecycle, helping ensure products meet applicable requirements while maintaining a high bar for performance and user experience. This role is based in Mountain View, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: - Develop and execute RF exposure test and validation strategies for consumer wireless products. - Partner with engineering teams to evaluate product designs and identify potential compliance risks throughout development. - Perform and analyze RF exposure measurements and communicate findings clearly to cross-functional teams. - Support product development from early prototypes through validation, certification, and production. - Coordinate testing with external laboratories and review results and supporting documentation. - Translate applicable regulatory requirements into practical engineering guidance. - Partner with RF and antenna teams to balance regulatory requirements with product performance. - Develop tools and workflows that improve testing efficiency, consistency, and data analysis. - Investigate issues, identify root causes, and work with engineering teams to develop effective solutions. - Support global regulatory certification activities for wireless consumer products. You might thrive in this role if you: - Have a Master’s degree or equivalent experience in Electrical Engineering, Computer Engineering, RF Engineering, or a related technical field. - Bring deep experience with SAR, RF exposure, or wireless regulatory testing. - Have a strong understanding of RF fundamentals, measurement techniques, and wireless systems. - Have experience translating regulatory requirements into engineering and product decisions. - Are comfortable performing hands-on testing, analyzing complex measurement data, and troubleshooting hardware systems. - Have experience working with external test laboratories and supporting product certification. - Collaborate effectively across RF, antenna, hardware, software, manufacturing, and operations teams. - Are comfortable working in fast-moving, ambiguous product development environments. Minimum Qualifications - Experience in SAR, RF exposure, wireless regulatory engineering, or a closely related field. - Experience supporting consumer hardware from prototype through mass production. - Experience with wireless products incorporating multiple radios and connectivity technologies. Preferred Qualifications - Experience developing test automation or data-analysis tools. - Experience supporting regulatory approvals across multiple global markets. - Experience working on products that integrate hardware, firmware, and software. 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. 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.
Regional Client Partner, Ads Solutions
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role This role is focused on driving new and expanded advertising revenue and ensuring successful business results for advertisers. You will own the full sales cycle — from prospecting to deal closure, developing long-term commercial partnerships to help advertisers achieve their business objectives while ensuring a strong and responsible experience on our platform. You’ll work closely with Customer Success Managers and key cross-functional partners to ensure advertisers achieve successful outcomes after the sale, while maintaining primary ownership of revenue growth and commercial strategy. This role is based in our Paris office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Prospect, qualify, and close new advertising opportunities, leading the full sales cycle from initial engagement through contract execution. - Own and achieve a defined revenue target within an assigned territory or vertical. - Develop and execute structured account plans to drive advertiser ROI and long-term revenue growth. - Build and maintain relationships with senior-level advertising decision-makers, delivering strategic guidance and actively gathering their feedback. - Structure and negotiate complex commercial agreements. - Quantify opportunities through clear, data-driven business cases aligned to advertiser objectives. - Lead cross-functional collaboration across Product, Engineering, Marketing, Policy, and Operations to support complex deals. - Partner with Customer Success Managers to ensure seamless post-sale transitions and coordinated expansion strategies. - Maintain rigorous pipeline management and accurate revenue forecasting. You might thrive in this role if you: - Have 10+ years of experience in performance marketing, digital marketing, or client-facing strategy and consulting roles. - Have 3+ years of experience as proven advisor influencing executives and clients. - Have experience owning revenue targets and closing complex deals. - Can build structured business cases and influencing senior stakeholders (internally and externally). - Have strong verbal and written communication skills. - Can operate in ambiguous, fast-changing environments. - Understand the client’s business and priorities to define success metrics and align on partnership goals. - Translate analytical insights into compelling commercial narratives. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Dedicated Support Engineer - Toronto
About the Team OpenAI’s User Operations team shepherds our customers’ 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 The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements. This Toronto-based role is currently remote and is expected to transition to an in-office arrangement. In this role, you will: - Work directly with Premium Support customers to troubleshoot their most complex technical issues, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents. - Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating the likely failure domain. Where possible, you’ll identify the root cause before escalating to Engineering; where that is not possible, you’ll provide a clear hypothesis and the evidence needed to accelerate Engineering’s investigation. - Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers. - Own the customer-specific response to high-impact incidents. You’ll assess severity and business impact, initiate the appropriate response path, coordinate cross-functional responders, maintain clear ownership, and ensure issues move through mitigation, resolution, and post-incident follow-through. - Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners. - Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints. You’ll document this context and make it accessible to Support, Product, and Engineering teams. - Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication without bypassing established support processes. - Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates. - Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations. - Prepare for important launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed. - Lead or contribute to incident reviews and postmortems, identify opportunities to prevent recurrence, and track corrective actions through closure. - Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments. - Turn what you learn from customer investigations into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation. - Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally. You might thrive in this role if you: - Have significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues. - Have expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations. - Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses. - Have experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through. - Can write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools. Experience with Python, JavaScript, or similar languages is valuable. - Can communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders—especially when information is incomplete or evolving. - Build strong, high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries. - Look beyond the immediate issue to identify patterns, improve the system, and prevent the same problem from recurring. - Thrive in ambiguity, update quickly as new information emerges, and are willing to learn whatever is needed to get the job done. - Bring a humble, team-first mindset, strong judgment, and a genuine eagerness to help both customers and colleagues succeed. - Are excited to use OpenAI’s products, agents, and emerging AI capabilities to transform how technical support operates at scale. 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.
Dedicated Support Engineer - Tokyo
About the Team OpenAI’s User Operations team shepherds our customers’ 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 The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English , and the interview process will include conversations in both languages. In this role, you will: - Work directly with Premium Support customers to troubleshoot their most complex technical issues, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents. - Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating the likely failure domain. Where possible, you’ll identify the root cause before escalating to Engineering; where that is not possible, you’ll provide a clear hypothesis and the evidence needed to accelerate Engineering’s investigation. - Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers. - Own the customer-specific response to high-impact incidents. You’ll assess severity and business impact, initiate the appropriate response path, coordinate cross-functional responders, maintain clear ownership, and ensure issues move through mitigation, resolution, and post-incident follow-through. - Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners. - Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints. You’ll document this context and make it accessible to Support, Product, and Engineering teams. - Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication without bypassing established support processes. - Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates. - Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations. - Prepare for important launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed. - Lead or contribute to incident reviews and postmortems, identify opportunities to prevent recurrence, and track corrective actions through closure. - Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments. - Turn what you learn from customer investigations into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation. - Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally. You might thrive in this role if you: - Have significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues. - Have expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations. - Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses. - Have experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through. - Can write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools. Experience with Python, JavaScript, or similar languages is valuable. - Can communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders—especially when information is incomplete or evolving. - Build strong, high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries. - Look beyond the immediate issue to identify patterns, improve the system, and prevent the same problem from recurring. - Thrive in ambiguity, update quickly as new information emerges, and are willing to learn whatever is needed to get the job done. - Bring a humble, team-first mindset, strong judgment, and a genuine eagerness to help both customers and colleagues succeed. - Are excited to use OpenAI’s products, agents, and emerging AI capabilities to transform how technical support operates at scale. 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.
Dedicated Support Engineer - Singapore
About the Team OpenAI’s User Operations team shepherds our customers’ 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 The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully fluent in English (spoken and written). Please note that your resume must be submitted in English , and the interview process will be conducted in English. In this role, you will: - Work directly with Premium Support customers to troubleshoot their most complex technical issues, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents. - Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating the likely failure domain. Where possible, you’ll identify the root cause before escalating to Engineering; where that is not possible, you’ll provide a clear hypothesis and the evidence needed to accelerate Engineering’s investigation. - Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers. - Own the customer-specific response to high-impact incidents. You’ll assess severity and business impact, initiate the appropriate response path, coordinate cross-functional responders, maintain clear ownership, and ensure issues move through mitigation, resolution, and post-incident follow-through. - Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners. - Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints. You’ll document this context and make it accessible to Support, Product, and Engineering teams. - Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication without bypassing established support processes. - Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates. - Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations. - Prepare for important launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed. - Lead or contribute to incident reviews and postmortems, identify opportunities to prevent recurrence, and track corrective actions through closure. - Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments. - Turn what you learn from customer investigations into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation. - Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally. You might thrive in this role if you: - Have significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues. - Have expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations. - Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses. - Have experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through. - Can write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools. Experience with Python, JavaScript, or similar languages is valuable. - Can communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders—especially when information is incomplete or evolving. - Build strong, high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries. - Look beyond the immediate issue to identify patterns, improve the system, and prevent the same problem from recurring. - Thrive in ambiguity, update quickly as new information emerges, and are willing to learn whatever is needed to get the job done. - Bring a humble, team-first mindset, strong judgment, and a genuine eagerness to help both customers and colleagues succeed. - Are excited to use OpenAI’s products, agents, and emerging AI capabilities to transform how technical support operates at scale. 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.
Dedicated Support Engineer - Dublin
About the Team OpenAI’s User Operations team shepherds our customers’ 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 The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements. In this role, you will: - Work directly with Premium Support customers to troubleshoot their most complex technical issues, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents. - Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating the likely failure domain. Where possible, you’ll identify the root cause before escalating to Engineering; where that is not possible, you’ll provide a clear hypothesis and the evidence needed to accelerate Engineering’s investigation. - Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers. - Own the customer-specific response to high-impact incidents. You’ll assess severity and business impact, initiate the appropriate response path, coordinate cross-functional responders, maintain clear ownership, and ensure issues move through mitigation, resolution, and post-incident follow-through. - Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners. - Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints. You’ll document this context and make it accessible to Support, Product, and Engineering teams. - Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication without bypassing established support processes. - Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates. - Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations. - Prepare for important launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed. - Lead or contribute to incident reviews and postmortems, identify opportunities to prevent recurrence, and track corrective actions through closure. - Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments. - Turn what you learn from customer investigations into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation. - Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally. You might thrive in this role if you: - Have significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues. - Have expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations. - Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses. - Have experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through. - Can write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools. Experience with Python, JavaScript, or similar languages is valuable. - Can communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders—especially when information is incomplete or evolving. - Build strong, high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries. - Look beyond the immediate issue to identify patterns, improve the system, and prevent the same problem from recurring. - Thrive in ambiguity, update quickly as new information emerges, and are willing to learn whatever is needed to get the job done. - Bring a humble, team-first mindset, strong judgment, and a genuine eagerness to help both customers and colleagues succeed. - Are excited to use OpenAI’s products, agents, and emerging AI capabilities to transform how technical support operates at scale. 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.
Deal Lead, Special Situations
About the team Special Situations builds and grows new businesses, capabilities, and first-of-kind or highly strategic partnerships for OpenAI. We take on opportunities with meaningful upside where the offering, commercial model, partnership structure, or delivery approach still needs to be developed. We bring together commercial judgment, operating experience, and industry expertise to turn these opportunities into results. Our work spans first engagements, expansion into new markets, and longer-term businesses and partnerships that we help build and scale. About the role We’re hiring a Deal Lead to develop and execute some of OpenAI’s most consequential commercial opportunities. You’ll identify where our capabilities can create meaningful value, shape what we offer and how we bring it to market, structure and negotiate partnerships, and drive the work from an initial thesis through launch and growth. You’ll work closely with Product, Research, GTM, Finance, Legal, and delivery teams to connect customer needs, technical capabilities, and viable economics. This is a hands-on role: you’ll drive the commercial strategy and execution. In this role, you will: - Identify and develop high-value opportunities across industries, markets, and emerging capabilities, translating customer needs into concrete AI use cases and commercial opportunities. - Shape new offerings and business models: define who we serve, what we offer, how we price it, and how we bring it to market. - Originate and grow customer and partner relationships, building executive alignment around the opportunity, desired outcomes, and path forward. - Work with FDEs, researchers, Product, and GTM teams to prioritize use cases and define scope, success criteria, resourcing, and a viable delivery approach. - Structure and negotiate complex partnerships, including revenue sharing, royalties, outcome-based pricing, and other non-standard commercial arrangements. - Drive executive-level decisions on strategy, economics, resourcing, and risk, keeping internal teams and external partners aligned as the work evolves. - Drive commercial outcomes beyond signature, including launch, adoption, revenue, viable economics, and expansion. - Build on early successes to develop repeatable offerings and partnerships, continuing to lead strategic relationships or establishing clear ownership as they scale. You may thrive in this role if you: - Have significant experience in business development, partnerships, corporate development, private equity, or founding roles where you personally led complex commercial opportunities from concept through execution. - Have originated, structured, and closed significant deals—and stayed accountable for what happened after signing. - Can turn an ambiguous opportunity into a clear commercial thesis, prioritized use cases, viable economics, and an executable plan. - Bring strong commercial and financial judgment, including experience designing pricing, evaluating business models, and negotiating terms that align incentives. - Learn unfamiliar industries quickly and bring relevant domain expertise, with an understanding of how sophisticated customers buy, partner, and deploy technology. - Work effectively with FDEs, researchers, engineers, and product teams to connect technical capabilities with customer value and realistic delivery commitments. - Build executive alignment across organizations, communicating opportunities, risks, and tradeoffs clearly and driving decisions when priorities differ. - Are equally comfortable shaping strategy and doing the hands-on work: customer discovery, financial modeling, proposals, negotiations, and resolving execution blockers. - Create structure and accountability across cross-functional teams without relying on formal authority. - Exercise sound judgment under uncertainty, adapting as evidence changes and recognizing when to invest more, change course, or walk away. 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.
Corporate Security GSOC Operator
About the Team OpenAI’s Global Security Operations Center (GSOC) protects the safety of our people, workspaces, and global operations. We operate 24/7 in a fast-paced, high-growth environment, providing incident response, threat monitoring, situational awareness, and support to teams across the organization. Our mission is to enable OpenAI employees to do their most important work securely and with confidence, wherever they are in the world. About the Role We are looking for a GSOC Operator to join our Global Security Operations Center team. In this role, you will monitor security systems, identify and respond to incidents, and provide real-time support to employees and partners around the world. You will be responsible for maintaining situational awareness, coordinating emergency communications, and ensuring accurate documentation and escalation across all security events. This role is based in our San Francisco office. GSOC operates 24/7, and shift coverage—including nights, weekends, and holidays—will be required. In this role, you will - Monitor and manage access control, video surveillance, alarms, and other security technologies. - Communicate with internal partners using Slack, Jira, and other collaboration tools. - Identify, assess, and respond to security alerts and incidents; escalate appropriately. - Support emergency notifications and mass communication systems during critical situations. - Provide global travel monitoring and situational awareness to help keep employees safe. - Maintain detailed logs, reports, and documentation of all security events and responses. - Follow established procedures and contribute to continuous improvement of playbooks and workflows. - Deliver excellent service and support to employees, visitors, vendors, and partner teams. - Participate in routine training, drills, and skill development to maintain readiness. You may be a fit for this role if you have - 5+ years of experience in GSOC, corporate security, or protective operations, or a bachelor’s degree in a relevant field. - Military, law enforcement, or emergency operations center experience may substitute for traditional GSOC experience. - Hands-on experience with access control and VMS platforms (e.g., Genetec). - Proficiency with Slack, Jira, Google Workspace, and incident documentation workflows. - Familiarity with travel risk monitoring tools (e.g., International SOS) is a plus. - Experience with emergency mass notification systems and/or AI-enabled security tools is helpful. - Strong verbal and written communication skills and the ability to stay composed under pressure. - A customer-focused mindset, with the ability to learn, adapt, and follow protocols with precision. - A collaborative, resilient, and team-oriented approach. 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.
Client Partner, Ads Solutions (Spanish Speaking)
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role This role is focused on driving new and expanded advertising revenue and ensuring successful business results for advertisers within the Spanish market. You will own the full sales cycle — from prospecting to deal closure, developing long-term commercial partnerships to help advertisers achieve their business objectives while ensuring a strong and responsible experience on our platform. You’ll work closely with Customer Success Managers and key cross-functional partners to ensure advertisers achieve successful outcomes after the sale, while maintaining primary ownership of revenue growth and commercial strategy. This role is based in our Dublin office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Prospect, qualify, and close new advertising opportunities, leading the full sales cycle from initial engagement through contract execution. - Own and achieve a defined revenue target within an assigned territory or vertical. - Develop and execute structured account plans to drive advertiser ROI and long-term revenue growth. - Build and maintain relationships with senior-level advertising decision-makers, delivering strategic guidance and actively gathering their feedback. - Structure and negotiate complex commercial agreements. - Quantify opportunities through clear, data-driven business cases aligned to advertiser objectives. - Lead cross-functional collaboration across Product, Engineering, Marketing, Policy, and Operations to support complex deals. - Partner with Customer Success Managers to ensure seamless post-sale transitions and coordinated expansion strategies. - Maintain rigorous pipeline management and accurate revenue forecasting. You might thrive in this role if you: - Have 10+ years of experience in performance marketing, digital marketing, or client-facing strategy and consulting roles. - Have 3+ years of experience as proven advisor influencing executives and clients. - Fluent in Spanish & English language. - Have experience owning revenue targets and closing complex deals. - Can build structured business cases and influencing senior stakeholders (internally and externally). - Have strong verbal and written communication skills. - Can operate in ambiguous, fast-changing environments. - Understand the client’s business and priorities to define success metrics and align on partnership goals. - Translate analytical insights into compelling commercial narratives. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Account Director, Digital Natives | MENA
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in the UAE. We use a hybrid work model of 3 days in the office per week. In this role, you'll: - Manage approximately a dozen key accounts, developing and executing strategies for a comprehensive account plan - Lead our enterprise prospects’ journeys from consideration to successful deployment - Partner with solutions and research engineering to build and execute complex customer programs and projects - Own a consumption revenue target - Manage consumption revenue forecasts - Analyse key account metrics to create reports and provide insights to internal and external stakeholders - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering - Support the recruitment and onboarding of other teammates - Support the development of company culture We're seeking someone with experience including: - 5-7+ years selling platform-as-a-service and/or software-as-a-service in the UAE - Achieving revenue targets >$1M per year for more than 3 years - Designing and executing complex deal strategies - Supporting the growth of fast-growing, high-performance companies - Working directly with c-level executives - Communicating technical concepts to customers and internal stakeholders - Leading high-visibility customer events (CAB, conferences, product launches, etc.) - Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. - Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. - Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organisation. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Compliance Program Manager, Political Law
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 Integrity & Compliance function is building the systems that let us scale responsibly as our products reach more people, more enterprises, and more governments. Corporate Compliance is a key pillar of that function, covering anti-bribery and anti-corruption, conflicts of interest, gifts and hospitality, outside activities, the Code of Conduct, and related employee-conduct matters. As Senior Compliance Program Manager, you will build and run Anthropic's political law compliance program — the operating infrastructure behind our corporate PAC, corporate political giving, state and local pay-to-play preclearance, and the gift and ethics rules governing our interactions with public officials. As the program develops, the role may also extend to oversight of lobbying registration and reporting. You'll own the program end to end: designing the workflows, registers and controls, doing the work directly where it belongs in-house, and directing and quality-checking outside political law counsel and compliance vendors where we use them. You'll be the day-to-day compliance partner to our Policy and Government Affairs teams, working in close partnership with Policy Legal, who own the substantive legal advice, and with the rest of Corporate Compliance on the anti-corruption side of government engagement. Because we run lean, you may support certain workstreams in our broader corporate compliance program — gifts and hospitality, conflicts of interest, outside business activities and related day-to-day matters — and help design the AI-assisted workflows that let a small team cover a large surface area. This is a builder's role. We're looking for someone who has run political law compliance programs hands-on, is equally comfortable doing the work and managing outside firms who do it, always knows where every preclearance request and filing stands, and can turn fifty-state complexity into simple processes the business will actually use. Key responsibilities - Own the political contributions preclearance program: intake, covered-persons register, jurisdiction-by-jurisdiction pay-to-play screening against live and prospective public-sector business, recordkeeping, and periodic reconciliation - Support corporate PAC compliance operations in partnership with Policy, Finance and outside counsel — restricted-class eligibility controls, solicitation review workflow, FEC reporting oversight, and reconciliations - Maintain the corporate political giving log and vetting workflow for candidate, committee, 527 and c4 contributions, and integrate pay-to-play triggers into contract intake for public-sector deals - Depending on how the program is scoped, support or take on lobbying compliance oversight: keeping a consolidated view of registrations, deadlines and filing status, and working with the outside firms that prepare filings - Manage outside political law counsel and compliance vendors supporting these workstreams — scoping, inputs, quality, timeliness and budget — and recommend over time what should sit in-house versus outside - Run gifts and hospitality review for events and interactions involving public officials, applying federal, state and local gift and ethics rules alongside our anti-corruption standards; disposition routine matters and escalate edge cases - Review and disposition conflicts of interest, outside business activity and gifts and hospitality matters across the broader corporate compliance queue; help maintain the post-government-employment and recusal tracker - Build and deliver training, quick-reference guidance and intake how-tos for Policy, GTM and leadership; keep policies and procedures current as the footprint changes - Serve as product owner for AI-assisted intake, screening and case-management workflows in your areas — define requirements, run testing, decide what is automated versus human-reviewed, and report program metrics to leadership - Spot legal questions early and route them to Policy Legal or outside counsel with the facts assembled; keep I&C, Legal and outside counsel calibrated on risk Minimum qualifications - Hands-on ownership of political law compliance programs — corporate PAC, campaign finance, pay-to-play preclearance and covered-persons tracking, lobbying registration and reporting, government gift and ethics rules — or a closely comparable multi-jurisdiction regulatory program - Track record building a program, not just operating one — designing preclearance or disclosure workflows, registers, filing calendars and controls from scratch or through a major redesign - Fluent enough to do the work directly and experienced enough to manage outside counsel and compliance vendors doing it — scoping, feeding inputs, checking quality, holding deadlines - Working fluency in the federal framework (FECA/FEC, LDA/HLOGA, House and Senate gift rules) and the shape of state and local variation; knows when a question is a legal call and hands it off cleanly - Strong project management and cross-functional execution with Policy/Government Affairs, Legal, Finance and executive stakeholders; clear, brief, business-usable writing - Sound judgment and discretion handling politically and personally sensitive information Preferred qualifications - 7+ years of experience in compliance program management - Experience in a corporate government affairs compliance function, a political law practice or compliance vendor, or a financial-services pay-to-play program (SEC Rule 206(4)-5, MSRB G-37, CFTC) - Range across the broader corporate compliance portfolio — gifts and hospitality, conflicts of interest, outside activities, anti-corruption — and appetite to learn what you haven't done yet - Exposure to non-US lobbying transparency regimes (EU Transparency Register, German Lobby register, Irish Regulation of Lobbying Act, UK) - Hands-on with compliance tooling (case management, GRC, disclosure platforms, workflow automation) and real interest in using AI to run compliance work better - Experience at a high-growth or technology company, or otherwise operating lean without large-team infrastructure - Relevant certification (e.g., CCEP) or paralegal/JD background is a plus, not a requirement; this is a program role, not a counsel role The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
People Legal Counsel, APAC
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 People Legal team is looking for a Lead Employment Counsel to build the legal foundation for our growing workforce across Asia-Pacific. You'll partner closely with our People team and business leaders to design and run employment programs in the region that help our people do their best work. This role pairs deep employment law expertise with pragmatism and creativity. You'll build structures that manage legal risk across several APAC countries today and that will hold up as our presence in the region scales. You'll also help colleagues around the world understand how local requirements shape the way we hire, manage, and support people in APAC. Key responsibilities - Serve as the primary employment lawyer for Anthropic's APAC region, partnering with People and business leaders across People programs, policies and day-to-day issues - Build and maintain the legal infrastructure for new and existing APAC jurisdictions, including Japan, South Korea, Australia, Singapore and India - Advise on market entry and workforce structuring, including acquisitions, employer of record arrangements, contractor classification, and headcount thresholds that trigger local obligations - Partner with Compensation, Benefits, and Equity teams so that global programs are compliant and scalable - Guide employee relations matters, including workplace investigations, in line with local law and practice - Develop and manage strategy on employment disputes across the region, from pre-litigation claims through tribunal and court proceedings, in partnership with outside counsel - Track legislative and regulatory developments across the region, including employee data privacy and emerging rules on AI in employment, and turn them into practical guidance - Develop scalable templates, playbooks, and training that enable stakeholders to operate compliantly Minimum qualifications - Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based - Have deep subject-matter expertise on employment law across multiple APAC countries - Write clearly and concisely, and can provide actionable guidance to non-lawyers - Balance legal risk with business practicality, and work collaboratively with legal and business cross-functional partners - Work effectively with colleagues and stakeholders across multiple time zones Preferred qualifications - At least 12+ years of relevant employment legal experience across law firms and in-house, with demonstrated experience supporting companies through rapid growth - Experience advising People and business teams on the practical application of employment laws in Japan, South Korea, India, Australia, and Singapore - Creative and pragmatic in your approach to developing legal solutions to business problems - Working knowledge of employee data privacy requirements across the region Role-specific policy: For this role, we expect all staff to be able to work from our Sydney office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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.
Marketing Analytics Lead, Enterprise Marketing
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 Marketing Analytics Lead at Anthropic, you will own how we measure marketing. You'll build and run a single measurement framework that shows how marketing activity turns into pipeline, revenue, and product usage, and you'll make that framework something marketers and executives actually use to make decisions. As our marketing programs grow across enterprise and product-led motions, your work will determine whether we invest in what works. In this role, you'll own the marketing measurement framework end to end: the metric definitions, the data models behind them, the dashboards that surface them, and the insights they produce. This is a hands-on individual contributor role; data science and data engineering will support you, but you'll do the core work yourself. You'll partner closely with field marketing, partner marketing, campaign marketing, finance, sales strategy, sales development, data science, and data engineering to align on definitions and keep the whole organization working from one view of the funnel. Key responsibilities - Own the marketing measurement framework that connects marketing activity to pipeline, revenue, and product usage - Set the direction for the framework and extend it to programs it doesn't cover yet - Define marketing metrics clearly and get cross-functional teams to agree on definitions early - Build and maintain the data models that power marketing reporting - Develop dashboards that marketers and executives rely on in their weekly reviews - Teach marketers and executives how the metrics work, and keep teaching as the metrics evolve - Lead adoption of the framework so that both marketing and executive teams use it as their shared source of truth - Partner with finance, sales strategy, and sales development to connect marketing measurement to the broader revenue picture - Find and share the insights nobody asked for, turning analysis into recommendations that change what we do - Write analytical SQL on large datasets to answer questions about funnel performance and attribution - Track framework gaps and data quality issues, and work with data engineering to resolve them - Present findings to marketing leadership and executives in clear, decision-ready formats Minimum qualifications - Have deep experience with marketing analytics, including lead funnels, attribution to enterprise pipeline, and product usage measurement - Have designed metrics from scratch and know what makes a metric trusted and useful - Can write analytical SQL on large datasets with confidence - Have built data models in tools like dbt and dashboards that many people use daily - Are comfortable setting direction without waiting for a plan to be handed to you - Can turn vague questions into clear, measurable definitions - Work well across functions and know how to get teams aligned on definitions before problems surface - Enjoy teaching others how metrics work and helping non-technical audiences build data fluency - Finish what you start, from first definition to adopted dashboard - Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - Experience building marketing measurement for both enterprise sales-led and product-led growth motions - Familiarity with marketing attribution models and their practical tradeoffs - Experience presenting metrics and insights directly to executives and shaping how leadership reviews performance - A background in data science, analytics engineering, or marketing operations - Experience working with CRM and marketing automation data, such as Salesforce and related tooling - Experience standing up a measurement practice where one didn't exist before - Familiarity with how finance and sales strategy teams think about pipeline and forecasting The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Commercial Counsel, Hardware
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 Hardware is becoming critical to how AI gets built, and the legal questions are as new as the technology. We're hiring a Commercial Counsel, Hardware to help Anthropic's product teams move fast, build safely, and get the legal calls right. In this role, you'll negotiate a high volume of fast-moving deals for hardware, components, software, and emerging technology procurement needs. This role will also lead multifaceted technology, data, and partnership deals, many of them the first of their kind at Anthropic. You'll be the legal and risk partner that technical and business leaders turn to when they need a fast, practical read on a deal or purchase. You'll clear low risk transactions quickly, spot the ones that deserve a closer look, and build scalable solutions as new complexities come up, all while working alongside Procurement and Finance and Legal colleagues in areas like privacy, IP, and trade. Along the way, you'll also support partnerships with major tech companies, universities, and media organizations, which gives you a view across much of the business. Key responsibilities - Negotiate and close a high volume of agreements for hardware and components, including review of embedded firmware and companion software licenses - Structure and negotiate complex technology, data, and partnership agreements - Track legal and regulatory changes that affect hardware products and components, such as product safety rules and restrictions on foreign-made components, and explain what they mean for our plans - Identify trade, export control, sanctions, and supply chain concerns in cross-border sourcing, and work with our national security and compliance teams to resolve them - Build and maintain self-serve guidance, templates, and AI-assisted review tools so routine purchases don't wait on Legal - Manage outside counsel for specialist questions and overflow volume - Cover other technology or hardware transactions on the Legal team as needed Minimum qualifications - JD and active membership in at least one U.S. state bar (California preferred) - Hands-on experience buying hardware and firmware, components, and software in high volume, fast-paced environments - Deep experience leading complex deals, such as technology or data licensing, joint development, or supply partnerships - Working knowledge of international supply chains and how sourcing choices (and their associated risks) show up in contracts (lead times, single-source risk, warranties, country of origin, higher risk jurisdictions) - Working knowledge of trade and regulatory compliance for hardware, including export controls, sanctions, tariffs and customs - Clear, plain communication with scientists, engineers, and operators, so legal risk turns into a decision they can act on - A low-ego, "doer" attitude and real interest in taking on work outside your core practice area - Intense curiosity about AI and emerging hardware, and a commitment to responsible AI development Preferred qualifications - At least 8 years of legal experience in hardware or a closely related technical space, with the judgment to run risk assessments and deals on your own from day one - In-house time at a hardware-intensive technology company (such as electronics, industrial automation, or complex devices) while it was scaling quickly - Experience supporting product or engineering teams as a dedicated counsel - Experience with facilities or on-site vendor services, including the insurance and safety questions - An engineering, product, or other technical background - Experience using AI tools to speed up your own legal work Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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: $335,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.
Global Account Director, International Organisatio...
About the team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. OpenAI for Government (OAI4G) helps public-sector institutions understand, adopt, and deploy highly capable AI products in support of their missions. The team brings together Sales, Solutions, Partnerships, Technical Success, Legal, Security, Policy, Global Affairs, and other cross-functional partners to help governments use AI responsibly and effectively. As part of OAI4G’s International Public Sector team, you will help public institutions in the UK, Middle East (ME) and Latin America (LATAM) translate frontier AI into secure, compliant, mission-aligned outcomes. We work across varied procurement, regulatory, security, sovereignty, and commercial environments, while maintaining a consistent commitment to safety, reliability, and public benefit. About the role We are seeking a Global Account Director (GAD) to lead OpenAI’s public-sector work across the UK, ME and LATAM. You will build trusted relationships with government leaders, develop and execute account strategies, create and close complex opportunities, and help customers move from initial interest to successful adoption. This is a full-cycle, highly cross-functional sales role that combines technical understanding, strategic vision, partnership management, and value-driven execution. You will work with senior government, operational, technical, procurement, policy, and security stakeholders to identify high-impact AI use cases and translate them into credible commercial and deployment pathways across the OpenAI Platform API and Codex and ChatGPT Enterprise. You will also be an accountable customer leader after signature, working alongside specialist delivery and technical teams to keep customer outcomes, milestones, adoption, risks, and executive alignment on track. The role requires excellent judgement, executive presence, local fluency, and the ability to move between strategy, discovery, capture, procurement, delivery governance, and relationship management without day-to-day direction. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will - Own a focused portfolio of UK, ME and LATAM public-sector accounts. - Build and execute comprehensive account plans that map mission priorities, stakeholders, procurement paths, partners, use cases, risks, and long-term expansion opportunities. - Drive complex opportunities through the full sales cycle, from pipeline generation, discovery, qualification, capture, and commercial strategy through negotiation, closure, adoption, and expansion. - Lead public-sector customers through their AI adoption journey, helping them identify responsible, high-impact use cases and connect mission outcomes to OpenAI’s capabilities and limitations. - Translate between government leaders, end users, technical teams, policy and security stakeholders, and internal product and engineering partners, clearly communicating requirements, progress, risks, and dependencies. - Serve as the accountable customer lead for engagements tied to clear outcomes, customer milestones, adoption measures, and commercial commitments, coordinating closely with technical specialists. - Work closely with the Partnerships team, global and regional system integrators, cloud and technology providers, local delivery partners, resellers, and strategic international partners to shape joint pursuits, deployment models, and purchasing paths. - Develop capture strategies, competitive positioning, win themes, teaming decisions, and proposal narratives that reflect UK, ME and LATAM market conditions. - Navigate public-sector procurement, tendering, security, data-residency, compliance, and sovereignty requirements, bringing Legal, Security, Policy, Global Affairs, Finance, and other partners into opportunities early. - Build trusted relationships with senior government executives and decision-makers, while staying close to operational users and technical stakeholders whose workflows determine successful adoption. - Maintain accurate pipeline, forecasting, account records, customer follow-up, and executive reporting, with disciplined follow-through across markets and time zones. - Monitor the government, technology, procurement, partner, and competitive landscape across UK, ME and LATAM markets, surfacing insights that inform product roadmaps and go-to-market strategy. - Represent OpenAI at government, partner, and industry forums, strengthening networks and identifying opportunities that advance responsible public-sector adoption of AI. We’re seeking someone with experience including - 10+ years in government, diplomacy, national security, international development, multilateral institutions, public-sector technology sales, business development, consulting, transformation, systems integration, or a closely related field, with meaningful ownership of complex customer outcomes. - Direct experience in government, diplomacy, national security, foreign affairs, or international organisations, or very significant experience working with those customers in sensitive, regulated, or high-consequence environments. - Material experience operating credibly in sensitive or national-security-adjacent settings; an active or recently held government security clearance is valuable, and the ability to obtain or maintain any clearance required for the portfolio may be necessary. - A strong record of shaping and closing complex cross-border deals: account planning, discovery, qualification, stakeholder mapping, capture, proposal development, negotiations, forecasting, closure, adoption, and expansion. - Executive presence with senior diplomats, ministers, multilateral executives, government leaders, and decision-makers, alongside credibility with technical, operational, procurement, policy, and security stakeholders. - Sound understanding of multilateral and public-sector procurement, funding, contracting, security, privacy, data-residency, sovereignty, and compliance requirements across more than one ME or LATAM market. - Ability to orchestrate regional and international partners, including system integrators, resellers, cloud providers, development institutions, advisory partners, and delivery partners. - Enough AI and enterprise-technology fluency to explain OpenAI’s products, capabilities, limitations, and responsible-use trade-offs clearly to diplomatic, multilateral, and government audiences, and to engage the right specialists early. - High ownership, exceptional written and verbal communication, diplomatic judgement under ambiguity, strong capacity management across regions and time zones, and willingness to travel across ME and LATAM, and internationally as needed. Nice to have - Deep relationships across international organisations, regional bodies, development institutions, foreign affairs, defence, national security, or other sensitive public-sector communities. - Experience developing opportunities across more than one ME or LATAM market, ideally with exposure to international organisations or regional bodies. - Experience with AI/ML, cloud, data platforms, cybersecurity, API-based products, public-sector digital transformation, or regulated cross-border technology deployments. - Experience moving a complex cross-border opportunity from early mission discovery through procurement, deployment governance, adoption, and measurable outcomes. 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.
Finance & Strategy, Deal Strategy
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships. Responsibilities - Financial Analysis: Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making - Deal Structure Optimization: Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests - Deal Review and Approval Management: Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications - Cross-Functional Coordination: Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals - Risk Assessment: Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders - Policy Implementation: Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives - Process Development: Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls - Documentation and Reporting: Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance You may be a good fit if you - Have 7+ years of experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment - Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals - Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments - Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows - Have experience with CRM systems, CPQ tools, and contract management platforms - Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail - Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Strong candidates may also have - Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles - Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking - Experience with deal desk operations at companies with subscription and consumption-based business models - Knowledge of enterprise software contract terms and industry-standard commercial practices - Understanding of AI business models and the unique commercial considerations 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: £185,000 - £185,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Finance & Strategy, Deal Desk - APAC
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 You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships. Key responsibilities - Financial Analysis: Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making - Deal Structure Optimization: Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests - Deal Review and Approval Management: Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications - Cross-Functional Coordination: Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals - Risk Assessment: Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders - Policy Implementation: Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives - Process Development: Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls - Documentation and Reporting: Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance Minimum qualifications - Have 5+ years of experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment - Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals - Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments - Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows - Have experience with CRM systems, CPQ tools, and contract management platforms - Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail - Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Preferred qualifications - Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles - Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking - Experience with deal desk operations at companies with subscription and consumption-based business models - Knowledge of enterprise software contract terms and industry-standard commercial practices - Understanding of AI business models and the unique commercial considerations 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.
Product Designer, Safeguards
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 Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We're looking for designers who ship fast and stay in motion—people who would rather get something in front of users this week than perfect it for a month. You're excited to question fundamental UI assumptions and invent patterns that feel native to AI, and you're already using tools like Claude Code to extend what you can build. You pay attention to where model capabilities are heading, not just what Claude can do today, and you find ways to keep caring about the pixels, the copy, and the edge cases while shipping quickly. Key responsibilities - Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps, and play an active role in shipping. - Understand the technical architecture of our products and define primitives for new capabilities. - Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows - Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology - Comfortable in code, design, prototypes, and learning new ways to communicate ideas and concepts - Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment Minimum qualifications - Experience designing and shipping complex workflows, enterprise/B2B SaaS, developer tools, or API products end-to-end - Proven track record of executing end-to-end on large and complex products, or a series of products, in ambiguous environments - A portfolio demonstrating user-centered design thinking and polished UI craftsmanship - Proficiency with modern design and prototyping tools, such as Figma - Experience using AI tools such as Claude Code as a creative partner in your own design practice - Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority Preferred qualifications - Experience prototyping with front-end code (e.g., HTML/CSS/JS) - Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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, Rosalind Workbench
About the team Life sciences is one of the clearest areas where advances in intelligence can meaningfully benefit the world at large. The OpenAI Life Sciences team works at the intersection of advancing frontier life sciences model capabilities and building products to help scientists accelerate their research and leverage the full potential of AI for scientific work. Rosalind Workbench brings together the scientific tools, data sources, interactive biology file viewers and core life sciences workflows into a central environment to help scientists investigate questions, design experiments, analyze results, and advance discovery. Rosalind Workbench can be used with any OpenAI models including GPT-Rosalind, our dedicated life sciences model, which combines frontier reasoning with specialized tool orchestration across medicinal chemistry, genomics, wet-lab assistance, and other scientific applications. Our long term vision is for teams of agents to work together across these domains, giving researchers access to broader expertise and the ability to pursue more ambitious scientific questions. About the role We’re looking for an Engineering Manager to lead the team building Rosalind Workbench and its supporting infrastructure. You’ll hire and develop engineers, set technical direction, and turn an ambitious product roadmap into focused, reliable releases. This is a hands-on leadership role. You should be comfortable reviewing architecture and code, investigating difficult failures, and helping engineers make consequential technical decisions. You’ll work closely with product, design, research, Codex engineering, and customer-facing teams to bring new scientific capabilities into everyday use. In this role, you will - Build and lead the engineering team. Hire strong engineers, coach technical leaders, provide clear feedback, and establish ownership and accountability across product and infrastructure work. - Drive technical planning and delivery. Translate scientific and customer needs into scoped milestones. Make explicit tradeoffs, resolve dependencies, and keep a small team focused as the product and research agenda evolve. - Shape the Workbench architecture. Guide development across scientific interfaces, agent and tool orchestration, local and remote compute, durable execution, and persistent project state. Build shared components that support new scientific workflows. - Make scientific work inspectable and reproducible. Preserve the inputs, versions, results, and decisions behind an analysis. Ensure scientists can move between conversations, viewers, and follow-up investigations without losing context or control. - Own engineering quality in production. Establish testing, release practices, observability, and an effective on-call process. Improve workflow reliability, latency, and cost, and lead resolution of problems that prevent scientists from completing their work. - Coordinate across teams and partners. Align with Codex on shared platform capabilities and with customer-facing engineers on deployment needs. Lead technical decisions about building or integrating scientific tools, specialist models, data sources, and experimental service providers. - Turn customer learning into reusable improvements. Work directly with scientists and design partners to understand their workflows. Address enterprise requirements such as private compute, credentials, networking, permissions, and data handling, with clear ownership for common product improvements and customer-specific integrations. - Connect product engineering with research. Help turn capabilities proven in internal research into supported product features. Build instrumentation and feedback pipelines that measure successful workflows and repeat use, and support evaluation and model improvement under explicit consent and data-use requirements. - Build safety and trust into the product. Partner with security, privacy, and safety teams to implement appropriate access controls, review points, auditability, and retention policies throughout scientific workflows. You might thrive in this role if you - Have experience managing engineering teams that ship and operate complex software products. - Bring strong software engineering fundamentals and the technical judgment to work across user-facing applications, backend services, data systems, and compute infrastructure. - Have helped turn early prototypes or research capabilities into reliable products used by external customers. - Can create clarity in ambiguous situations, communicate technical decisions plainly, and coordinate teams with different priorities and reporting structures. - Care deeply about product usability and can translate expert workflows into software that users can understand, inspect, and trust. - Build teams where engineers take ownership, learn quickly, and maintain high standards while shipping. - Are motivated by scientific discovery and willing to learn closely from scientists and domain experts. Particularly relevant experience - Scientific software, computational biology, bioinformatics, chemistry, or laboratory workflows. - AI agents, model inference, tool integrations, or evaluation infrastructure. - Workflow orchestration, long-running jobs, reproducible computation, or artifact versioning. - Enterprise software deployed with private data, customer-managed infrastructure, and organizational access controls. - Developer platforms that let users build, validate, and share reusable tools or workflows. 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.
Field CTO, APAC
ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE The Field CTO role is one of Mistral's senior external technical voices; a role for someone who has earned genuine credibility in the AI field and can engage enterprise boards, CIOs, and CTOs as a peer. You will shape how strategic accounts think about their AI strategy, represent Mistral at major industry events, and publish thought leadership that reflects a real point of view on where AI is going. You will work closely with regional sales leadership across your territory and bring what you learn from executive conversations back into Mistral's product direction. This is an externally-facing, influence-driven role. The output is measured in relationships built, content published, and executive conversations that move. WHAT YOU WILL DO Executive engagement Run Mistral's Executive Briefing Center with your regional VP; a selective program for C-level stakeholders at strategic accounts. Build and sustain trusted-advisor relationships with CIOs, CTOs, CDOs, and VP Engineering across your territory. Thought leadership Publish regularly: articles, whitepapers, and analysis of where enterprise AI is heading. Brief Gartner and Forrester on Mistral's roadmap and market position. Track frontier research and bring it into customer conversations. Conference and event presence Represent Mistral at major industry events through keynotes, panels, and roundtables. Build a public presence that generates inbound interest from enterprise executives and the wider AI community. Market feedback Bring what you hear in executive conversations back into product direction. Patterns across accounts on governance requirements and deployment constraints should reach the people building the models. WHAT WE'RE LOOKING FOR - Demonstrable credibility in the AI field. A public track record in AI: published papers, articles, or talks that reflect a clear, defensible position. Your work should read as credible next to Mistral's technical brand. - A stated position on open-weight models and what they change for the enterprises adopting them. Your existing public positions should sit comfortable next to Mistral's. - You are fluent in European data sovereignty and on-premise deployment, at the level that holds up with a CTO or VP Engineering asking hard questions. - You are comfortable engaging C-level stakeholders across multiple verticals on technical architecture and business strategy, in the same conversation. - Cross-vertical fluency, you can credibly engage across financial services, manufacturing, defense, and energy without being a domain specialist in any one of them. - 10–25 years of experience in enterprise technology. You have held roles such as: Field CTO, Principal Architect, or VP Engineering at a major cloud or AI company, or a founder who built technical credibility and executive relationships through their own company. - Comfortable with 30-50% travel depending on your region. NICE TO HAVE - Existing network of CTO and CIO relationships at enterprise accounts in your region - Prior Field CTO or equivalent externally facing technical role at a major cloud or AI company - Fluent in multiple languages spoken across your region WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Revenue Operations, Inference Lead
ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE ROLE Our Inference business sells compute we have to produce and hold. What we can sell is capped by GPU fleet capacity, and what we earn depends on the blended cost of the GPUs serving each workload — both of which move week to week. This role sits between the people who run the fleet and the people who sell it. You will be the person who can answer, at any point in the quarter, three questions with real numbers behind them: 1. What do we have to sell? 2. What should we sell it for? 3. What do we make when we do? You will own the commercial data, models, processes, and operating cadence behind these decisions, partnering closely with the Head of Digital Native Sales and serving as the commercial operating lead across Sales, Data Science, Inference Infrastructure, Finance, and Product. This is a build role. Little of the commercial infrastructure you need exists today. WHAT YOU'LL DO Capacity and demand - Build and own an end-to-end inference demand forecast combining pipeline, contracted commitments, and consumption trends into a forward-looking view of expected demand. - Combine capacity signals with pipeline demand to show what is available to sell and surface shortages, unused capacity, and supply-demand mismatches. - Translate customer requirements into structured inputs that Data Science and Inference Infrastructure can use to assess workload impact and feasibility, and help prioritize opportunities by revenue, margin, fit, timing, and strategic value. Pricing and margin - Publish regular updates to GTM and Finance on available supply and recommended price, informed by market rates for provisioned throughput and per-token pricing. - Partner with Finance and Pricing to build rate cards, target prices, price floors, and discount guardrails GTM can act on. - Build and own margin sensitivity models showing how workload, utilization, contract structure, and discounting affect deal and portfolio economics. Data infrastructure and GTM telemetry - Build the commercial telemetry for Inference: usage, consumption patterns, expansion, churn signals, and other leading indicators of revenue. - Connect capacity and usage data with pipeline, contracts, pricing, and revenue, and build self-serve reporting that helps GTM, Finance, and leadership make capacity, pricing, and prioritization decisions. - Partner with Finance on long-range planning for Inference, connecting demand forecasts to capacity and capex planning. Core revenue operations - Own territory design, ICP definition, data-driven targeting, pipeline management, forecasting, and compensation plan design for the Inference and Digital Native segment. - Track competitive dynamics across inference providers and adjacent players, turning them into pricing and positioning input. Cross-functional leadership - Drive alignment across Sales, Data Science, Inference Infrastructure, Finance, and Product on demand, capacity, pricing, and economics. - Ensure customer demand reaches technical teams early enough to inform capacity decisions, and build a structured feedback loop from requests, adoption patterns, blocked deals, and losses into Product and Engineering. WHAT YOU'LL BRING Required skills and competencies - Experience in revenue operations, business operations, strategic finance, or investment banking in a business where cost of goods is real and variable — cloud infrastructure, compute, telco, logistics, or similar. Pure SaaS RevOps is not a fit on its own. - Strong SQL and comfort building your own data models: raw tables to dashboard, without waiting on a data team. - Demonstrated ability to build unit economics and margin models that other functions trust and use. - Enough technical fluency to hold a real conversation with infrastructure engineers about GPUs, utilization, serving efficiency, and capacity — or clear evidence you can get there fast. - Comfort operating with incomplete data, with a bias toward shipping a rough answer this week over a perfect one next quarter. - Strong cross-functional leadership and the ability to influence technical and commercial teams without direct authority. Ideal additional skills and competencies - Familiarity with the inference market: provisioned throughput, per-token pricing, batch vs. real-time serving, and how the major providers price. - Experience with consumption- or usage-based revenue models. - Salesforce, BigQuery, and BI tooling (we use Metabase). - Having sat between a technical team and a commercial team before, trusted by both sides. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Sr./Staff Product Designer
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. ABOUT THE ROLE We're looking for a passionate Product Designer to join our team and help shape the tools of the future. You should be a motivated self-starter with experience partnering with engineering teams and shipping real products. In this role, you'll work closely with product, engineering, and research to have a meaningful impact on Runway's design direction and future. WHAT YOU’LL DO - Lead design projects, including new features and improvements to our mobile and web platforms - Produce, iterate, and prototype concepts for creative workflows - Collaborate closely with the engineering and product teams to suggest product and process improvements - Contribute to maintaining visual and user experience consistency across our products WHAT YOU’LL NEED - Experience designing flows, prototypes and high-fidelity UI's for web products and strong visual design skills - Understanding of modern web technologies, web interactions, and usability standards - Experience delivering and iterating fast in close collaboration with engineering, product, and data teams - Ability and flexibility to iterate fast and often - Comfortable picking up unfamiliar parts of the product rather than waiting to be assigned only what you already know - Knowledge and understanding of the creative tool space - Bonus points if you have experience with creating functional prototypes using AI tools (Claude Code, Cursor, etc.) - At Runway, it’s always a bonus if you have artistic and creative potential (particularly skills with video/audio editing, icon/typography design, Illustration, etc.) Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Head of FDE Learning Programs
ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB Mistral is hiring a Head of FDE Learning Programs to build the learning system for one of the company’s fastest-growing organizations. Mistral is scaling its FDE organization from its first hire to several hundred Deployment Strategists and Applied AI Engineers within two years. Your mandate is to make capability grow as fast as headcount without lowering the bar for customer work. You will own: - Learning content: Build practical learning across three areas: technical skills, strategic and business capabilities, and product enablement. - Onboarding: Build a clear path from a new hire’s first week to independent customer work. - Technical bootcamps: Turn new products, research, and field methods into practical training for customer work. - Strategic bootcamps: Empower client-facing teams of FDEs to drive business and strategic discussions and to set up for success large partnership programs with customers - Program ownership: Own the roadmap, curriculum, contributor model, regional delivery, tools, measurement, and central team. - Scaling: Launch useful programs now, then adapt them for larger cohorts without making the content generic or relying on a small group of experts. - Team building: Launch the first programs, build a network of instructors, and hire the team needed to support several hundred FDEs. - Cross-functional work: Work with functional managers, Product, Engineering, Science, People, GTM Enablement, DevRel, and regional leaders. - Readiness standards: Ensure FDEs in every region meet the same standard, can find current material, learn from recent customer work, and understand expectations at the next career level. - Knowledge structuration: Ensure internal resources are up to date and pushed to the right stakeholders with a knowledge management approach. HOW WE WORK IN SOLUTIONS - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. ABOUT YOU You have helped build a learning, enablement, or capability function for a technical organization during rapid growth. You can start as the first dedicated owner, deliver useful programs immediately, and build the team and operating model needed to serve several hundred people. - - You are technically fluent enough to work credibly with AI engineers, Product, and Science, inspect the substance of a program, and challenge material that is unclear or outdated. - You have designed programs that work across cohorts, regions, and experience levels without reducing the content to generic training. - - You can lead work across senior stakeholders, subject-matter experts, managers, and operational partners without relying on reporting lines. - You can make firm trade-offs when hiring demand, expert capacity, and program quality compete for attention. - You pay attention to the full learner experience, including communications, scheduling, practice, feedback, and manager follow-through. - You use evidence to decide which programs to expand, revise, or stop. - You communicate clearly with executives, managers, technical experts, and learners. - You are fluent in English and can work with teams across regions and time zones. IDEALLY, YOU HAVE - Scaled a one-person or small learning function into a team and program that served hundreds of technical employees. - Built onboarding that kept pace with rapid hiring in an engineering, FDE, solutions, consulting, or professional-services organization. - Designed and operated technical bootcamps or other cohort-based learning programs. - Worked in technical DevRel, developer education, or a related role built around demos, code examples, workshops, and practitioner communities. - Built role- and level-based curricula connected to skills frameworks or career progression. - Managed a global program with contributors and learners across multiple regions. - Worked closely with Product, Engineering, Science, People, and customer-facing teams. - Designed practical assessments, readiness standards, or certification where appropriate. - Used learning platforms, knowledge systems, AI coaches, or program-operations tooling. - Worked in AI/ML or another technically complex and fast-changing field. WHY THIS ROLE MATTERS Mistral is compressing years of organization growth into two. An FDE organization of several hundred people cannot depend on manager-by-manager onboarding, one-off sessions, and informal access to experts. If learning capacity trails hiring, ramp times would lengthen, standards would diverge, and teams would repeat the same mistakes across regions. This role will build the programs, teaching network, and systems at the same pace as the organization. Two years from now, success would mean several hundred Deployment Strategists and Applied AI Engineers working from shared standards, learning new capabilities quickly, and improving the system with evidence from customer work. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
EMEA Field Marketing Manager
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is looking for a highly strategic and execution-focused Field & Partner Marketing Manager to lead regional field and partner marketing initiatives. This role is responsible for driving pipeline growth across a designated geography by aligning marketing investments with sales priorities, accelerating partner engagement, and delivering high-impact field programs. As the regional marketing leader, reporting to the VP of Demand and Field Marketing, you will serve as the primary marketing partner to the Area Vice President (AVP) of Sales and regional partner teams, owning the execution of integrated campaigns, executive events, partner co-marketing initiatives, and localized demand programs that contribute directly to pipeline and bookings targets. This is a hands-on, high-visibility individual contributor role designed for someone who thrives in a fast-paced environment and is passionate about translating business strategy into measurable revenue outcomes. What You'll Do Regional Demand & Pipeline Generation - Own the regional field marketing activations strategy and execution plan aligned to quarterly and annual pipeline goals. - Partner closely with Comms, Demand Generation, Marketing Operations, Product Marketing, and Digital teams to localize global campaigns and optimize regional performance. - Track, measure, and report on marketing contribution to pipeline, bookings, and ROI. Field Marketing & Executive Engagement - Plan and execute regional events, executive roundtables, customer workshops, and third-party sponsorships. - Develop account-based marketing (ABM) programs in partnership with Sales to engage strategic target accounts. - Support executive engagement opportunities, including customer meetings, industry conferences, and VIP experiences. - Ensure consistent follow-up and campaign orchestration before, during, and after field activations. Partner Marketing & Ecosystem Development - Lead regional partner marketing strategy across cloud, technology, channel, and strategic alliance partners. - Build and execute joint go-to-market campaigns, co-sponsored events, webinars, and content syndication programs. - Collaborate with partner account teams to maximize MDF investments and drive measurable pipeline outcomes. - Support partner enablement initiatives and help scale awareness of SambaNova solutions across the ecosystem. Cross-Functional Leadership - Act as the central marketing point of contact for regional Sales, Partner, and Business Development teams. - Partner with Marketing Operations to ensure accurate campaign tracking, attribution, and reporting. - Work closely with Corporate Marketing and Communications to amplify regional customer stories, announcements, and thought leadership. - Bring market insights and customer feedback back to Product Marketing and executive leadership to influence strategy. What We're Looking For - 8+ years of experience in B2B enterprise technology marketing, with significant experience in field marketing, partner marketing, demand generation, or integrated campaigns. - Proven track record of building and executing programs that generate measurable pipeline and revenue impact. - Experience partnering directly with enterprise sales organizations and regional leadership teams. - Strong understanding of account-based marketing, partner ecosystems, and enterprise buying motions. - Experience managing executive events, customer engagement programs, and strategic partner activations. - Analytical mindset with the ability to interpret campaign performance and optimize investment decisions. - Excellent communication, project management, and cross-functional collaboration skills. - Ability to work independently, manage multiple priorities, and thrive in a high-growth, high-accountability environment. Preferred Qualifications - Experience in AI infrastructure, cloud, semiconductors, enterprise software, or high-performance computing markets. - Familiarity with partner ecosystems including cloud providers, OEMs, systems integrators, and channel partners. - Experience working in a global organization with distributed sales and marketing teams. - Proficiency with Salesforce, marketing automation platforms, and modern marketing analytics tools. Base Salary Range: Base Pay Range £120,000 - £146,000 GBP Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Principal Product Marketing Manager
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is hiring a Principal Product Marketing Manager to lead product positioning, portfolio strategy, and sales enablement for SambaRack and SambaStack. This role will define how SambaNova presents its purpose-built AI infrastructure to the market, translate product differentiation into clear customer value, and equip the field with the narratives and tools needed to win. About the Role This is a principal-level product marketing role for an experienced strategist and hands-on creator who can move from market insight to a crisp product narrative, and from that narrative to the launches, messaging, presentations, one-pagers, competitive guidance, and training used across the go-to-market organization. You will own the market-facing strategy for SambaRack—the turnkey, rack-level system built around SambaNova RDUs for large-scale AI inference—and SambaStack—the full-stack enterprise AI platform that combines hardware and software for deployments on premises or through dedicated cloud hosting. You will partner closely with Technical Product Marketing, Account Executives, and Field Marketing to turn technical proof, customer needs, and field insight into differentiated product messaging and scalable go-to-market execution. Technical Product Marketing will contribute deployment-oriented technical content and demonstrations, while you will own product and portfolio positioning, audience and use-case strategy, launch narratives, competitive differentiation, sales enablement, and consistent market execution. Responsibilities - Own positioning, messaging, value propositions, personas, priority use cases, packaging narratives, and competitive differentiation for SambaRack and SambaStack - Define the portfolio story that connects purpose-built RDU hardware, rack-level infrastructure, full-stack software, model serving, and deployment flexibility into a clear customer value proposition - Build differentiated messaging for enterprise AI teams, infrastructure leaders, data center operators, inference providers, sovereign AI initiatives, technical evaluators, partners, and the field - Lead go-to-market strategy and launch planning for major SambaRack and SambaStack capabilities, working across Product, Engineering, Sales, Communications, Developer Relations, Partner Marketing, and Design - Develop high-quality sales enablement, including pitch decks, solution presentations, one-pagers, battlecards, discovery guidance, objection handling, competitive plays, and executive-ready content - Create market-facing content such as product briefs, web copy, launch assets, blogs, customer presentations, thought leadership, and solution narratives - Partner with Technical Product Marketing to translate deployment experience, technical proof, and demonstrations into sharper positioning and more useful seller guidance - Work with Account Executives and Field Marketing to refine product messaging around customer needs, activate it through field and regional programs, and build scalable enablement for customer conversations - Equip sales, solutions, partners, and customer-facing teams with repeatable training and content; measure adoption and improve materials based on field feedback - Lead market, customer, and competitive research to identify emerging needs, sharpen differentiation, inform roadmap discussions, and improve go-to-market priorities - Build customer proof points, references, use cases, and stories that make SambaRack and SambaStack value concrete - Establish messaging governance and reusable frameworks that keep product, sales, web, campaign, partner, developer, and executive narratives aligned - Define success metrics for launches, enablement adoption, message pull-through, content usage, field readiness, and business impact What We’re Looking For - 10+ years of experience in B2B product marketing, product strategy, technical product marketing, or a closely related role, including ownership of complex enterprise technology portfolios - Deep fluency in AI infrastructure, enterprise AI, semiconductors, data center systems, cloud platforms, or another technically complex market - A track record of creating differentiated positioning for integrated hardware-software products and translating it into launches, sales enablement, content, and measurable go-to-market outcomes - Exceptional writing, editing, presentation, and narrative-development skills across executive, business, field, and technical audiences - Strong strategic judgment paired with a willingness to build the deck, write the one-pager, develop the battlecard, edit the web page, and deliver the training - Experience influencing executive leaders and coordinating Product, Engineering, Technical Product Marketing, Account Executives, Field Marketing, Communications, Design, and partner stakeholders without direct authority - Ability to operate independently, prioritize high-leverage work, and bring structure to ambiguity in a fast-moving environment Preferred Qualifications - Experience marketing AI inference platforms, accelerator systems, turnkey data center products, full-stack enterprise platforms, or cloud infrastructure - Experience developing product and portfolio strategy across related hardware and software offerings - Experience building a sales enablement program with measurable adoption, field readiness, and business impact - Familiarity with enterprise buyers, infrastructure decision-makers, technical evaluators, inference providers, partner ecosystems, and managed-service use cases - Experience leading category creation, a major product launch, competitive repositioning, or a portfolio-wide messaging transformation - A portfolio of high-quality positioning, launch, enablement, thought-leadership, or product-marketing work Why This Role Matters SambaRack and SambaStack give SambaNova a differentiated product story spanning purpose-built hardware and a full-stack enterprise AI platform. This role will make that story clear, consistent, and commercially useful—shaping how the market understands the portfolio and giving sellers and partners the positioning and tools they need to create demand and win. Base Salary Range: Base Pay Range $227,000 - $278,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Partner Marketing Manager
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is looking for a Partner Marketing Manager to build and scale our global partner marketing strategy and programs. This role will work across strategic technology, channel, and ecosystem partners to develop joint go-to-market programs that increase awareness, engage target accounts, and contribute to the pipeline. This is a highly cross-functional role working closely with Growth, Field Marketing, Product Marketing, Sales, and our partner organizations. The ideal candidate is both strategic and hands-on—comfortable building the partner marketing framework while also driving campaigns, joint activations, enablement, and programs from concept through execution. What You’ll Do - Own and execute the global partner marketing strategy, aligned to SambaNova’s awareness, target-account, and pipeline goals. - Build integrated “Better Together” campaigns with strategic partners, translating joint value propositions into awareness and demand programs. - Develop joint go-to-market plans across digital, content, events, executive programs, ABM, and field activations. - Serve as the central marketing lead for SambaNova’s strategic partner relationships, coordinating priorities and plans across internal and partner teams. - Partner closely with regional Field + Partner Marketing teams to activate global partner strategies in North America, EMEA, and APAC. - Own and scale SambaAcademy partner enablement, ensuring partners have access to the training, messaging, content, and assets needed to effectively represent SambaNova. - Build a scalable partner marketing framework including joint planning, MDF, campaign execution, enablement, measurement, and reporting. - Identify opportunities to amplify SambaNova through partner channels, audiences, events, executive relationships, and ecosystems. - Work with Product Marketing and technical teams to translate partner integrations and technical differentiation into compelling joint stories and programs. - Establish KPIs and measure the impact of partner marketing on awareness, engagement, target-account penetration, and pipeline. What We’re Looking For - 6+ years of B2B marketing experience, with meaningful experience in partner, alliance, channel, or ecosystem marketing. - Experience developing and executing joint go-to-market programs with technology partners. - Strong understanding of integrated marketing across digital, content, events, ABM, field, and partner channels. - Ability to manage complex cross-functional and cross-company relationships and move programs forward in a fast-paced environment. - Strong program management skills with the ability to take initiatives from strategy through execution and measurement. - Comfortable working with technical products and translating complex technology into compelling partner stories and campaigns. - Data-driven mindset with experience measuring partner program performance and pipeline impact. - Experience in AI, infrastructure, semiconductors, cloud, or enterprise technology is strongly preferred. Base Salary Range: Base Pay Range $196,000 - $240,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Staff Product Designer, Enterprise
Scale is hiring a Staff/Senior Product Designer to lead product design for Scale’s rapidly growing ‘AI for Enterprise Data’ business unit. The mission of AI for Enterprise Data is to accelerate the deployment of AI by helping large enterprises solve their most ambitious challenges. This role will take on multiple products ranging from 0-1 initiatives to improving established products. This includes a suite of powerful AI tools for insurance AI, document processing, and more. Responsibilities - Design end to end user flows, wireframes, high-fidelity mockups, and interactive prototypes for desktop web applications. - Partner with Product Managers, Engineers, Data Scientists, and Operations team members to solve product and business challenges. - Advocate for the voice of the user as the founding designer of the business unit. - Prioritize and execute work in a fast paced environment with rapid timelines and high amounts of scope and ambiguity. - Contribute to the evolution of our company-wide design system and interaction patterns. - Take ownership to identify product gaps and rally support for proposed solutions. Qualifications - Experience leading end-to-end B2B and enterprise web applications. - Extremely high proficiency in Figma, fast execution speed is a must. - Experience designing dashboards, data visualization, domain-specific editors, and forms. - Understanding of front-end development processes for web interfaces. - Strong communication and collaboration skills, including customer-facing meetings. - Portfolio of product design projects that highlight your diversity of skills. Nice-to-haves - Exposure to artificial intelligence, machine learning, and other technical concepts. 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.
Infrastructure Solution Architect, South Korea
ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role • You'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. • You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results. • You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations. • You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production. • You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs. • You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages. • You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world. • You will travel approximately 30 to 60% of your time. • Your role will involve spending time at the client’s office. What You Will Do Delivering value to the customers • Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives. • Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process • Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities. Product deployment • Guide and support customers in deploying our models and products into their infrastructure. • Work closely with customers to deploy relevant solutions according to their specific requirements. • Regularly liaise with the product and technical teams to relay feedback and suggest improvements. • Develop custom features for customers as needed. Customer Onboarding • Responsible for onboarding customers on our products, providing guidance on deployment and integration • Ensuring the best production setup from the low-level GPU stack, up to infrastructure, back-end and front-end interfaces Project management • Define and track success metrics of the POC being rolled out at customers. • Operate as a program leader, leveraging internal Mistral teams (Applied Engineers) as well as teams on the customer side to make sure project moves forward. What We're Looking For • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.) • You have experience working as a DevOps, Site Reliability Engineer or Cloud Solution Architect • You're experienced with deploying and managing AI-based products in production environments • You are fluent in Python • You have experience with containerization technologies (Docker, Kubernetes), as well as CI/CD pipelines and automated deployment tools • You have a deep understanding of cloud platforms (AWS, Azure, GCP) and on-premise infrastructure • You have been involved in a customer facing role • You have strong project & stakeholder management skills • You have foundational knowledge in AI/ML/Data science • You have ability to connect technology and business value • You are result driven and resilient • Being familiar with sales qualification concepts is a strong plus We are looking for adaptable team players who excel in a fast-paced environment and are ready to support pre-sales as well as deployment tasks, contributing to our shared goals and success. Hiring Process (optional) • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min System Design • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Web Project Manager
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the Role Reporting to the Director of Digital Marketing, this role supports the SambaNova digital ecosystem, including sambanova.ai and the SambaAcademy educational partner portal, and collaborates with teams managing SambaCloud and our Documentation site to ensure a consistent user experience. Beyond the day-to-day maintenance, this role will be responsible for planning functional improvements, building new pages, ongoing content updates, and ensuring the quality of what’s published. This is a hands-on role. You will work directly with the design team and web developers who provide deeper technical support. Expect to be in the HubSpot CMS daily, building and QA'ing pages. You'll receive and prioritize projects among stakeholders, but ultimately, it’s your job to ensure builds and updates happen predictably, page loads are fast, and conversion from visit to pipeline improves measurably. What You'll Do SITE OWNERSHIP & CMS - Manage the sambanova.ai web and SambaAcademy partner portal roadmap: intake, scoping, prioritization, and timelines. - Build, publish, and QA pages in HubSpot CMS: templates, modules, CTAs, and UX. - Maintain the design system and component library so pages stay consistent as the site grows. - Run the governance layer: page request process, naming conventions, approvals, and documentation. WEB OPERATIONS & PERFORMANCE - Own site performance and Core Web Vitals; partner with developers on page speed, caching, and technical fixes. - Maintain analytics and tag infrastructure: GA4, Google Tag Manager, and conversion events. - Run an A/B and multivariate testing program on headlines, layouts, and CTAs, and act on the results. - Improve website accessibility (WCAG 2.1 AA). - Coordinate with the content manager and SEO efforts on technical SEO: site structure, schema, crawlability, and redirect hygiene. - Monitor uptime, broken links, form failures, and integration errors; fix or escalate. AGENCY & STAKEHOLDER MANAGEMENT - Work with design team and web development agencies: project scope, timelines, and quality of delivery. - Translate business requests into clear technical requirements. - Partner with marketing ops on forms, lead routing, and CRM handoffs so every page feeds the funnel correctly. - Manage translation service to ensure content updates are also localized for Japanese pages. - Report on web performance and roadmap status to marketing leadership on a regular cadence. What We're Looking For - 5-8 years of experience managing B2B websites, ideally in tech. - Bachelor's degree. - Hands-on HubSpot or WordPress CMS expertise: building and publishing, not just reviewing. - Working knowledge of HTML, CSS, and responsive design; enough technical depth to evaluate developer work and debug an issue. - Analytics fluency. GA4 and Google Tag Manager, with a standard of using data to decide next steps. - Demonstrated project management across competing stakeholders and deadlines, with the judgment to prioritize. - Vendor and agency management experience, including project budget accountability. - Understanding of technical SEO fundamentals, site performance, and web accessibility standards. - Curiosity about technology, particularly AI/ML. No CS degree required, but able to understand the products well enough to represent them accurately on the site. - Familiarity with Figma, Jira, Asana, and basic design or video tooling (Canva, Wistia) for fast turnarounds. Base Salary Range: Base Pay Range $167,000 - $204,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Senior Recruiter, GTM & Business
About the Role Together AI is building the AI Acceleration Cloud. We are building an end-to-end platform for the generative AI lifecycle, integrating fast, reliable inference and model-shaping services with cutting-edge AI cloud infrastructure. We're looking for an exceptional Senior GTM & Business Recruiter who can help us scale our teams while keeping the bar of excellence high. You'll own end-to-end hiring across GTM and Business functions, from first conversation through offer close, and partner with GTM leadership to translate ambitious hiring plans into real teams. This role is based out of our Headquarters in San Francisco. Responsibilities - Own full-cycle strategic recruiting across GTM and Business organizations. - Partner with executives and leaders to define hiring strategies, candidate profiles, and interview processes. - Manage the candidate journey from sourcing handoff to offer stage, ensuring a seamless and exceptional experience. - Provide market intelligence, funnel metrics, and competitive insights to shape hiring strategies and influence decisions. - Collaborate with sourcers, coordinators, and recruiters to streamline processes and deliver a consistent, brand-aligned candidate experience. - Act as a strategic thought partner to leaders, scaling from concept to execution with data-driven insights, creativity, and sound judgment. Requirements - 5+ years of business or GTM recruiting experience in high-growth tech environments. - Strong ability to build and maintain relationships with leadership and hiring teams. - You thrive in a fast-paced, ambiguous environment with rapidly shifting priorities. - Expertise in designing new interview processes and hiring strategies from the ground up. - You adapt gracefully under pressure and navigate changing priorities with ease. - Ability to do more with less, you thrive in a scrappy environment and you find creative solutions to problems About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits. The US base salary range for this full-time position is: $165,000 - $210,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our Privacy Policy at https://www.together.ai/privacy
Digital Content Manager
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the Role As a member of the Growth and Digital Marketing team, this role owns the content engine behind our digital channels. Working closely with the product marketing team, you will identify high-value topics, write most of it, and make sure it attracts attention once it’s published. You'll manage the editorial calendar and the content on sambanova.ai , and create the assets demand gen depends on, including landing pages, gated reports, nurture copy, and campaign narratives. This is a hands-on role that requires a strong writer. Working with external resources, you'll use search and performance data to understand what content resonates with target audiences. Success looks like a content program that measurably grows organic traffic, keyword rankings, and pipeline. What You’ll Do WEB & ORGANIC SEARCH - Own content on sambanova.ai , including product pages, solution pages, resource hub, and blog, keeping it accurate as the products and messaging evolves. - Conduct keyword research and build an SEO content roadmap that maps to high search rankings. - Handle on-page SEO end-to-end: titles, meta descriptions, heading structure, internal linking, schema, and image optimization. - Partner with the web project manager and design team on the architecture, performance improvements; and test headlines, CTAs, and layouts. - Audit existing web page content quarterly, and refresh as needed. FULL-FUNNEL CONTENT - Plan and manage the editorial calendar across blog, web, and email, coordinating with product marketing, developer relations, social, and comms. - Write and edit content across formats: technical blog posts, customer case studies, whitepapers, and newsletters. - Translate engineering and product input into narratives a non-specialist executive can follow and an AI engineer won't dismiss. - Maintain voice, terminology, and style standards; and edit work from freelancers, agencies, and internal subject-matter experts. - Repurpose content. Strong assets can translate into a blog series or email program. DEMAND GENERATION & CAMPAIGNS - Create campaign content: landing pages, gated assets, ad copy, webinar abstracts, and multi-touch nurture sequences. - Work with demand gen and marketing ops to map content to funnel stage and buyer segment, and close the gaps that show up in the journey. What We’re Looking For - 4-6 years of experience in content marketing, B2B tech preferred, with published work to share. - Bachelor’s degree - Working SEO fluency. Keyword research, on-page optimization, content structure for search and LLM answer engines. - Demand gen literacy. Understanding campaign frameworks and how to optimize for conversion. - Analytical habits. Leverage GA4 to evaluate content performance. - Hands-on tooling with HubSpot CMS. - Project ownership. Ability to prioritize and meet multiple deadlines for multiple stakeholders on time. - Curiosity about technology - particularly AI/ML. No CS degree required, but able to understand technology to convey benefits to target audiences. - Basic design or video literacy (Wistia, Canva, light editing) for fast turnarounds. Base Salary Range: Base Pay Range $167,000 - $204,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
AI Deployment Manager, Scale
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About SpaceXAI SpaceXAI builds the vertically integrated stack for useful AI: models, the products people work in every day, and the compute underneath. We're Cursor + Grok as one company: Grok Build (Cursor) for engineering in real codebases, Grok Bot for autonomous knowledge work, and Grok when you want to steer the result. Same intelligence layer; not a coding-only tool company. We're a flat, talent-dense team that likes truth-seeking, sharp debate, and shipping. About the role We're standing up Scale ADM from first principles: an agentic, human-last motion for a large enterprise book. This is a founding seat. You'll help invent how SpaceXAI drives customer outcomes at scale across hundreds of accounts with a small team, using agents to surface risk and opportunity, and putting people where judgment still matters. What you'll do - Help found and run the Scale ADM motion across a wide enterprise portfolio - Use agentic workflows to triage health, prioritize outreach, and keep human time scarce and high leverage - Drive value realization that supports retention and expansion: deepen adoption, find account whitespace, and open growth paths across the book - Amplify what already exists (marketing webinars, customer education, onboarding) and turn live learning into reusable motions without reinventing the wheel - Shape playbooks and offerings from voice of customer: tailor what we deliver based on what we hear You may be a fit if - You've thrived in high-velocity, multi-customer environments and like building the machine, not only running it - You bring real product fluency (beyond developers alone) and you're leaning into AI: proficient today, or hungry to get there fast - You're energized by agents as coworkers: you design how they work - You've done customer success or adjacent post-sales work and know how to drive customer outcomes, and why that matters - You know how to manage accounts and relationships for outcomes: find whitespace, deepen adoption, and open growth paths
Principal Customer Engineer, Central Majors - Toro...
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 Location: Toronto, Canada 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. 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. What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Senior Data Scientist, Engine Infra
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY ENGINE INFRA? Engine Infra team is responsible for the game-server fleet that simulates live experiences — making it efficient, observable, and reliable on Roblox edge infrastructure and regional cloud capacity, from multiplexing and ARM bursting through telemetry, resource allocation, and edge latency. You Will: - Define Metrics — Own Engine Infra metrics, telemetry logging, and validation for the RCC fleet and edge compute. Establish KPIs for game-server efficiency, reliability, and player experience — including CPU and memory, heartbeat, occupancy and multiplexing efficiency, crash and OOM rates, runtime error codes, and latency quality (e.g. DataPing vs RakPing) that directly affect creators and players. - Transform & Visualize Data for Actionable Insights — Access and process raw RCC and engine telemetry, build analytics pipelines, and deliver clear operating views of the fleet. Turn per-instance, per-game, datacenter, and channel signals into dashboards and decision systems that help Engine Infra pack more players onto fewer cores, allocate CPU and memory correctly, and keep multiplexed and large-server processes healthy. - Design Experiments & Apply Causal Inference — Lead channel tests, hardware A/Bs, and causal analyses for multiplexing, ARM64 bursting, regional capacity, and edge latency. Measure trade-offs among efficiency, stability, and quality; separate host, container, engine, content, and release effects; and estimate player-experience impact (including latency-sensitive cohorts, not only global averages) so launches ship on evidence. - Drive Cross-Functional Collaboration — Partner with Engine Infra, Game Engine, Networking, Matchmaking, Infrastructure, Product, and TPMs, and with teams such as Creator Analytics and Growth, to debug ambiguous production issues and open new capacity and quality opportunities. - Shape the Future of Roblox’s Foundation — Influence how Roblox runs live experiences on owned edge and cloud hardware — a more efficient RCC fleet, better regional capacity, lower edge latency, and a platform that stays interactive as we scale toward larger, denser servers. You Have: - Advanced degree in Computer Science, Statistics, Engineering, or a related field with a focus on large-scale system analysis. - 4+ years as a Data Scientist, with a proven track record of working on high-volume telemetry, product quality optimization. - Expertise in processing massive, noisy datasets (like crash logs or telemetry pings) and building scalable pipelines for reporting. - Experience using first-principles reasoning to debug complex, ambiguous system failures that don't always have a clear cause. - Experience presenting deep technical results to Engineering leaders and using data storytelling to prioritize work and future investment. Nice to Have: - Direct experience with game engines or systems performance - Experience in game development or working on real-time interactive systems - A background or interest in memory management, OS-level interactions, or network stack optimization. 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 $221,380 - $263,670 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.
Data Scientist - Client Platform
Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord is where millions of people hang out every day - 90% of them play games, spending over 5 billion hours across thousands of titles each month. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. We’re looking for a Data Scientist to join our Client Platform Data Science team, where you’ll help make sure that Discord just works. You’ll partner with the teams that design, build, and support Discord - improving app performance, enhancing the user experience, and driving growth. Your work will span strategic analyses, experimentation, and dashboarding. Specifically, we’re looking for someone who can help us take Discord’s mobile and desktop reliability to the next level through better metrics, monitoring, and automation. If you’re passionate about data and want to make a real impact, we’d love to hear from you! What you'll be doing - Partner with teams throughout Discord through the full analytics lifecycle - from exploratory analyses to dashboards, reports, and A/B testing - Define KPIs and diagnostic metrics that improve the user experience, and build dashboards to make them timely and actionable - Build custom datasets to monitor novel product features and processes - Share insights with technical and non-technical audiences, and iterate based on feedback - Champion A/B testing best practices - helping teams design, analyze, and interpret experiments correctly - Collaborate with data and engineering teams to design scalable and future-proof instrumentation and self-serve tooling What you should have - 2+ years of hands-on analytics experience turning ambiguous business problems into clear, actionable insights - Experience designing, analyzing, and interpreting A/B tests at scale - Strong SQL skills and experience building clean, performant dashboards (Tableau, Looker, or similar) - Clear communication skills, with the ability to make complex findings easy to understand - Curiosity, a collaborative attitude, and a drive to solve hard problems Bonus Points - Passion for Discord or online communities - Experience with performance/reliability analytics for online services - Familiarity with social or subscription products (social graphs, LTV, funnel analysis) - Production ETL or BigQuery experience - Experience using AI in data science work The US base salary range for this full-time position is $160,000 to $200,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.
Staff Machine Learning Engineer, App Ads Modeling
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible first workforce! We’re looking for a Staff-level Machine Learning Engineer to join Reddit’s Ads Ranking Org. This role is part of a broader effort to enhance Reddit’s ML-powered ad ranking systems through improved model architectures, contextual embeddings, and conversion-optimized modeling. The ideal candidate will bring strong end-to-end modeling expertise, a deep understanding of modern deep learning techniques, and a passion for building systems that drive measurable impact in ads marketplaces. While ads experience is a plus, strong modelers from recommendation systems, search relevance, or other performance-driven domains are encouraged to apply. This position will sit on the App Ads Modeling team and report directly into the Ranking Org. Responsibilities: - Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking - Develop and optimize features including embeddings, contextual signals, and cross-session behavior - Work closely with product, infra, and data teams to drive end-to-end model deployment and performance analysis - Mentor other MLEs and contribute to modeling best practices across the org - Shape the long-term modeling vision across one or more domains (conversion, app ads, shopping, brand, etc.) Required Qualifications: - 7+ years of industry experience, including several years in applied ML roles - Strong experience with Deep Learning architectures and ML frameworks (TensorFlow, PyTorch) - Strong background in recommendation systems, ads ranking, or similar domains - Experience working with large-scale datasets and complex feature pipelines - Strong problem-solving and experimentation skills - State of the Art models for Ads or Recsys experience (ex: Transformers, Recsys) - Knowledge about Recsys or Ads funnel - Track record of delivering high-impact models in production settings - Comfort collaborating with infra and data teams on feature serving and training pipelines Preferred Qualifications: - Experience with conversion modeling, app ads, or performance/brand ads - Experience in ads marketplaces at peer companies - Publications, patents, or industry contributions in applied ML or ranking systems Benefits: - 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave LI-AJ1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 - $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Global Mobility Lead
ABOUT THE JOB We're looking for an experienced Global Mobility Lead to build and run the programs that help employees join, move, and work across borders. You will own our mobility policies, immigration casework, and vendor relationships, and partner with Legal, Finance, and People Ops to make cross-border moves clear, compliant, and well supported. WHAT YOU’LL OWN GLOBAL MOBILITY - Own the mobility policy suite end to end: relocation, permanent transfers, short-term and long-term international assignments, remote/cross-border work arrangements, and business travel thresholds. - Run individual mobility cases from scoping to landing: package design, cost estimates, immigration sequencing, tax and social-security implications, payroll setup, relocation logistics, and post-arrival support. - Manage employment-based immigration casework in partnership with outside counsel: H-1B (including cap-subject and change-of-employer/AC21 timing), L-1, TN, E-3, O-1, F-1 OPT/CPT, and employer-sponsored permanent residence. Own the internal timeline, the start-date reality check, and the manager/candidate communication. - Own daily immigration intake and case execution, including employer questionnaires, supporting documents, employment verification letters, signatures, counsel follow ups, and case closure. - Own right-to-work compliance across jurisdictions: I-9 and E-Verify in the US, Home Office share-code checks in the UK, and equivalent checks in our EU and other markets. - Decide and document the entity/employment model for each new market (direct entity, EOR, or non-resident payroll registration) with Finance and Legal. - Own our mobility vendor stack (immigration counsel, relocation, tax, EOR/global payroll): scope, SLAs, cost, and performance. - Model and track mobility cost, including sponsorship and premium-processing fees, so leadership can make go/no-go calls with real numbers, and obtain and document required approvals before committing sponsorship or spend DATA AND SYSTEMS - Build the tracking layer: mobility case pipeline, immigration deadlines and expirations, compensation comparisons, etc. - Stand up mobility dashboards: case volume, cycle time, cost per move, band penetration, offer-to-band variance, and equity-gap trend. - Write the employee-facing documentation so moves and pay decisions are predictable and explainable, not one-off negotiations. What we’re looking for REQUIRED - 6+ years of experience in global mobility, with real ownership of cross-border moves and immigration casework, not just vendor hand-offs. - Working fluency in US employment-based immigration and at least one other major jurisdiction’s work-authorization regime (UK, EU, or Canada). - Strong analytical skills: comfortable in spreadsheets and HRIS reporting, able to build a defensible model and explain the assumptions behind it. - Judgment about risk. You know when to escalate to Legal, when to flag classification or permanent-establishment exposure, and how to say no clearly. - Excellent written communication: you’ll draft policies, verification letters, offer rationales, and executive-facing recommendations. - Comfort with ambiguity, high volume, and shifting priorities.
B2B Comms Lead, EMEA
About the Team OpenAI’s Communications team is responsible for helping people understand our technology, our mission, and the impact AI can have when deployed safely and responsibly. Across EMEA, we work closely with business, start-up, developer, product, marketing, global affairs, and policy teams to tell clear, credible stories about how OpenAI is helping organisations build, scale, and solve meaningful problems. The EMEA B2B Communications team is small, fast-moving, and highly cross-functional. We support some of OpenAI’s most important external audiences, including enterprises, founders, developers, technical communities, journalists, creators, and policymakers. Our work spans proactive storytelling, media relations, executive communications, launches, events, case studies, and campaigns that build awareness, understanding, and trust. About the Role We’re seeking a strategic, hands-on communications leader to help shape and deliver OpenAI’s B2B communications across EMEA. This role will report to the Head of B2B Comms, EMEA and will be a senior member of a small, high-impact regional communications team. The B2B Comms Lead, EMEA will build awareness, understanding and trust with business audiences by showing how organisations across the region are using OpenAI to transform how they work, serve customers and create value. The role will connect OpenAI’s global priorities with the needs of EMEA markets, combining clear strategy with excellent day-to-day execution. This person will work cross-functionally with B2B and global communications, GTM, marketing, product, legal, global affairs and country communications teams. International travel will be required. In this role, you will: - Drive the EMEA B2B communications strategy, translating global priorities into a focused regional programme with clear audiences, narratives and outcomes. - Lead proactive, integrated campaigns across earned and owned channels that build understanding of OpenAI’s technology, demonstrate business value and strengthen trust. - Build a strong pipeline of customer, partner and ecosystem stories that show tangible impact across markets and priority industries. - Shape regional narratives and messaging, translating complex technology and product developments into clear, compelling stories for business audiences. - Lead communications for relevant launches, executive moments and tentpole events across EMEA, ensuring strong regional coordination and local relevance. - Build and maintain trusted relationships with leading business, technology and trade media, as well as influential creators and commentators across the region. - Advise and prepare senior spokespeople for media, speaking and stakeholder opportunities, including briefing materials, talking points and engagement plans. - Partner closely with country communications leads and global teams to create clear ways of working, share insight and ensure EMEA perspectives inform global strategy. - Identify emerging opportunities and reputational risks, providing sound communications counsel and helping the team respond quickly and confidently. - Manage agency partners, budgets and operating rhythms, setting a high bar for strategic thinking, creativity and execution. - Lead and develop team members where relevant, contributing to an ambitious, collaborative and low-ego culture in which everyone is comfortable being flexible and scrappy. You might thrive in this role if you: - Have substantial senior communications experience in-house or at an agency, with a strong track record in B2B technology, enterprise, advertising and business communications. - Have experience leading regional or international communications programmes within global organisations and complex operating environments. - Have excellent media relations instincts and established relationships with business and technology journalists across the UK, Europe and MENA. - Have exceptional writing and editing skills, with the ability to turn complex technical concepts into clear, accurate and engaging business narratives. - Have a record of developing proactive campaigns and customer stories that deliver measurable communications and business impact. - Demonstrate strong executive counsel and issues-management judgment, including the ability to operate calmly and make good decisions at pace. - Have demonstrated success working cross-functionally with teams such as GTM, marketing, product, legal, global affairs and local market teams. - Have experience managing agency partners, budgets and teams, with strong organisational skills and the ability to prioritise across competing demands. - Have deep curiosity about AI and its impact on businesses and society; familiarity with enterprise software, emerging technology or the AI landscape is a plus. - Bring a highly collaborative, pragmatic and hands-on approach, with the confidence to lead strategically and step into execution when needed. 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.
Security Program Manager
About the Team OpenAI builds powerful AI systems like ChatGPT, the OpenAI API, and enterprise products that serve millions of users across the globe. As we scale, securing our infrastructure, protecting sensitive data, supporting employees’ velocity, and meeting global compliance standards are essential to our success and societal impact. Security at OpenAI is a cross-cutting organization that includes Security, Privacy, IT, GRC, Corporate Security, and other teams. Program Managers play a critical role in aligning teams and delivering execution at scale. About the Role We’re seeking a Program Manager to build and own programs that span OpenAI’s Security organization, with a core focus on Mergers & Acquisitions. You will work across domains from diligence through Day 1 readiness, integration, onboarding, and transition to ongoing ownership. You will also apply what you build to other priorities that span Security teams. You will learn how work actually moves between teams, spot gaps and unclear ownership, and build practical systems that make complex transitions easier to execute. This role is deeply cross-functional and execution-focused. It requires a structured operator who thrives in ambiguity, partners effectively across boundaries, and applies principled judgment to drive programs at speed from initial planning through durable handoff. You will use AI and automation to reduce repetitive work and help teams operate at greater scale, while applying sound judgment to sensitive information and consequential decisions. In this role, you will: - Own Security & IT M&A programs, including supporting System Operations and other engineering teams in defining and performing timely diligence assessments, and scoping, planning, and executing acquisition integrations. Carry the work through Day 1 readiness, onboarding of people and systems, post-close priorities, and handoff to ongoing owners. - Partner with Corporate Development, IT, Infrastructure, Application, Legal, Privacy, Security, GRC, Corporate Security and other teams to understand cross-functional requirements and navigate tradeoffs. Make responsibilities and decision rights clear while bringing in the right experts for technical and risk judgments. - Learn partner teams’ workflows and identify missed dependencies, bottlenecks, duplicated effort, and risks that could slow an integration or weaken its outcome. Address recurring problems at their source. - Establish scalable frameworks and processes to support core programs, including defining durable program goals and core measures of success. Build useful intake paths, playbooks, onboarding checklists, decision points, and handoff standards that teams adopt in practice. - Use AI and automation to organize information, surface gaps, improve documentation, route work, and track follow-through, with appropriate handling of sensitive information and human review of risk decisions. - Create and maintain program-level visibility across deals, risks, milestones, and dependencies, ensuring program outcomes are delivered reliably and at high quality. Measure whether the work improves readiness, reduces manual effort, closes risks, and makes future transitions more predictable. - Communicate status, risks, tradeoffs, and decisions clearly to technical and executive audiences and drive cross-functional execution with urgency and care. - Own additional programs that span Security and IT as organizational priorities evolve, applying and improving the systems built through the M&A portfolio. You might thrive in this role if you: - Are an empathetic communicator and leader who is able to influence a variety of cross-functional and executive audiences, and build durable trust with partners. - Have 5+ years of experience leading complex cross-functional programs, with a proven record of successful partnership in security, IT, infrastructure, privacy, trust, product risk, or other technical domains. - Have carried programs from an ambiguous starting point through execution and lasting ownership. - Have built a new program, workflow, or operating model yourself and can show how you earned adoption and improved results. - Are curious about how teams work in practice and can find the underlying issue behind a missed handoff or recurring exception. - Have used AI or automation to improve a real workflow and can explain what changed, how people adopted it, and where human judgment remains necessary. - Have experience in Mergers & Acquisitions or related areas. - Thrive in high-trust environments, bring rigor and systems thinking to ambiguity, and operate with a bias for aligned execution over org boundaries. - Are structured, detail-oriented, and rigorous in ensuring quality, accountability, and durable delivery. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Dedicated Support Engineer - San Francisco
About the Team OpenAI’s User Operations team shepherds our customers’ 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 The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements. In this role, you will: - Work directly with Premium Support customers to troubleshoot their most complex technical issues, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents. - Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating the likely failure domain. Where possible, you’ll identify the root cause before escalating to Engineering; where that is not possible, you’ll provide a clear hypothesis and the evidence needed to accelerate Engineering’s investigation. - Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers. - Own the customer-specific response to high-impact incidents. You’ll assess severity and business impact, initiate the appropriate response path, coordinate cross-functional responders, maintain clear ownership, and ensure issues move through mitigation, resolution, and post-incident follow-through. - Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners. - Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints. You’ll document this context and make it accessible to Support, Product, and Engineering teams. - Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication without bypassing established support processes. - Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates. - Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations. - Prepare for important launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed. - Lead or contribute to incident reviews and postmortems, identify opportunities to prevent recurrence, and track corrective actions through closure. - Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments. - Turn what you learn from customer investigations into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation. - Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally. You might thrive in this role if you: - Have significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues. - Have expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations. - Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses. - Have experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through. - Can write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools. Experience with Python, JavaScript, or similar languages is valuable. - Can communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders—especially when information is incomplete or evolving. - Build strong, high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries. - Look beyond the immediate issue to identify patterns, improve the system, and prevent the same problem from recurring. - Thrive in ambiguity, update quickly as new information emerges, and are willing to learn whatever is needed to get the job done. - Bring a humble, team-first mindset, strong judgment, and a genuine eagerness to help both customers and colleagues succeed. - Are excited to use OpenAI’s products, agents, and emerging AI capabilities to transform how technical support operates at scale. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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