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Accounting Manager
About the Team OpenAI’s Controllership team provides accurate, timely, and decision-useful financial information while building the processes, systems, and controls needed to support a rapidly growing global business. Our Accounting Operations team owns core accounting and close activities and drives improvements that help our finance organization scale. About the Role We are looking for an Accounting Manager with a strong general accounting foundation and hands-on intercompany experience to join our Accounting Operations team. You will own accounting and close activities across assigned balance sheet and P&L areas, manage intercompany activity for assigned entities, and build efficient, well-controlled processes. This is a hands-on individual contributor role with responsibility for independently managing accounting processes, exercising sound judgment, and reviewing work performed by outsourced partners. You will partner closely with Tax, Treasury, Strategic Finance, and Business Systems to resolve issues, support business growth, and improve how we work. This role is based in San Francisco, CA . We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own the close for assigned accounting areas, including accruals, prepaids, and other balance sheet and operating expense accounts, ensuring accurate results and timely completion. - Prepare and review journal entries, account reconciliations, and supporting schedules; resolve accounting issues and maintain clear, audit-ready documentation. - Manage intercompany accounting for assigned entities, including cross-charges, reconciliations, and coordination of settlements. Investigate differences and drive timely resolution with counterparties. - Support consolidation activities, including intercompany eliminations, entity-level validations, and foreign currency accounting, in partnership with the consolidation lead. - Analyze balance sheet and P&L movements, develop clear flux commentary, and partner with Strategic Finance to explain business drivers and variances. - Coordinate and review work performed by outsourced accounting partners, setting expectations for quality, timeliness, and issue escalation. - Own and improve internal controls within assigned processes, maintain process documentation, and support external audits. - Drive process improvements and automation, partnering with Business Systems to improve Oracle workflows, strengthen data quality, and reduce manual work through tools and AI-enabled solutions. - Support new entities, acquisitions, and business initiatives by establishing accounting workflows and integrating them into the close. You might thrive in this role if you have: - 6+ years of progressive accounting experience, with demonstrated ownership of close processes and experience reviewing others’ work or managing in outsourced support. - A strong general accounting foundation and practical knowledge of U.S. GAAP, including accruals, reconciliations, and financial statement analysis. - Hands-on intercompany accounting experience, including recording transactions, reconciling balances, and resolving differences across entities. - The judgment to independently resolve routine and moderately complex accounting issues, identify risks, and escalate matters with clear recommendations. - Experience operating and improving internal controls and supporting financial statement audits. - Proficiency with ERP systems and advanced Excel skills; Oracle Fusion experience is preferred, and exposure to Oracle FCCS or another consolidation system is a plus. - A track record of improving accounting processes, with curiosity about automation and AI tools. - Strong organizational and communication skills, with the ability to manage competing deadlines and work effectively across teams. - CPA qualification and/or public accounting experience is preferred. Experience in a global, multi-entity or high-growth technology company is a plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Full-Stack Engineer (Backend Leaning) - CreativeVo...
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We are looking for an experienced backend-leaning full-stack engineer to build and scale the voice systems at the core of ElevenLabs. Creative Voices owns the voice and speech products inside ElevenCreative, including Text-to-Speech, Speech-to-Text, Voice Changer, Voice Isolator, Voice Library and Voice Cloning. You will join a small team turning frontier speech research into products used by millions. You will own backend architecture and production systems, working closely with research engineering and security. Your responsibilities will include: - Modernising voice architecture, including data models, storage and APIs. - Making voice cloning and fine-tuning pipelines reliable through monitoring, retries and failure recovery. - Building voice creation, verification and recommendation capabilities. - Owning workstreams from design to production, including frontend changes where needed. Requirements - Strong backend engineering experience building and scaling high-traffic production systems. - Strong system design and database fundamentals, including data modelling, concurrency, migrations and security. - Experience operating production services, with strong debugging, monitoring and failure recovery skills. - Independent ownership, clear communication and the drive to ship quickly, with confidence working across the stack. We value engineering fundamentals over specific languages or databases. Prior audio experience is not required. Experience modernising complex systems or building in a high-growth company is a plus. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Account Director, Manufacturing- Tokyo
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 Tokyo, Japan. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you'll: - Manage ~dozen key accounts, developing and executing strategies for a comprehensive account plan - Lead our enterprise prospects’ journeys from consideration to succesful deployment - Partner with solutions and research engineering to build and execute complex customer programs and projects - Own a consumption revenue target - Manage consumption revenue forecasts - Analyze key account metrics to create reports and provide insights to internal and external stakeholders - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering - Support the recruitment and onboarding of other teammates - Support the development of company culture We're seeking someone with experience including: - 7+ years selling platform-as-a-service and/or software-as-a-service - Achieving revenue targets >$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. - Are proficient in both Japanese and English. This is essential to effectively perform key responsibilities such as partnering with customers, driving the sales cycle, managing accounts, collaborating with cross-functional teams, and communicating with headquarters. - 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 organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Account Director, Large Enterprise - Tokyo
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 Tokyo, Japan. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you'll: - Manage ~dozen key accounts, developing and executing strategies for a comprehensive account plan - Lead our enterprise prospects’ journeys from consideration to succesful deployment - Partner with solutions and research engineering to build and execute complex customer programs and projects - Own a consumption revenue target - Manage consumption revenue forecasts - Analyze key account metrics to create reports and provide insights to internal and external stakeholders - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering - Support the recruitment and onboarding of other teammates - Support the development of company culture We're seeking someone with experience including: - 7+ years selling platform-as-a-service and/or software-as-a-service - Achieving revenue targets >$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. - Are proficient in both Japanese and English. This is essential to effectively perform key responsibilities such as partnering with customers, driving the sales cycle, managing accounts, collaborating with cross-functional teams, and communicating with headquarters. - 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 organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Talent Partner, Technical
About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Modal builds the infrastructure that lets engineers run AI workloads without the usual pain. To do this well, we need exceptional people – and that’s where you come in. As the first dedicated technical recruiter on our Talent team, you’ll own engineering and AI/ML searches end-to-end. You’ll work closely with our Head of Talent, founders, and technical leads to shape how we hire and help bring in the people who will define what Modal becomes. What you’ll do: - Run full-cycle recruiting for engineering and AI/ML roles (sourcing, pitching, guiding interviews, and closing candidates) - Partner with technical leaders to understand the real work and calibrate on what great looks like - Help set our technical hiring bar and how we evaluate talent - Execute creative top-of-funnel strategies that resonate with a strong community of talented, experienced engineers - Deliver a fast, respectful, honest candidate experience - Bring an equity lens to every stage of the process - Use data and market context to keep searches on track and expectations aligned - Support candidates as a trusted guide through high-stakes decisions Requirements: - You know technical recruiting inside and out and enjoy the challenge of deeply technical roles - You’re curious – you ask the right questions and love understanding how things actually work - You influence with insight and honesty, not by simply having the loudest voice in the room - You move quickly and communicate clearly, even when things get messy - You’re a strong closer who builds trust early and stays ahead of concerns - You’re steady when priorities shift and can recalibrate without losing momentum - You care about people and want them to have a thoughtful, fair, and human experience throughout the process
Full-Stack Engineer (Backend Leaning) - Creative A...
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We are looking for a backend-leaning full-stack engineer to help build the next generation of Creative Agents at ElevenLabs. Our ambition is to make agents a primary way people create across ElevenCreative. We are building systems that turn ideas into high-quality audio, image and video, bringing models and creative tools together without requiring users to become prompting experts. The creative agent is already live. You will join a small team shaping its capabilities and architecture, with ownership from backend systems and agent infrastructure through to the customer-facing experience. You will help discover what works, turn experiments into reliable features, and use real customer feedback to guide what we build next. Your responsibilities will include: - Building production agents and expanding their capabilities through prompts, tool use, orchestration, new models and MCP integrations. - Designing and operating reliable backend systems for asynchronous creative generation and long-running tasks, with strong performance, observability, scalability and security. - Developing shared evaluations and live quality monitoring, including model-based assessment of image and video outputs. - Owning features end to end, from identifying user needs and prototyping to shipping across the stack and supporting them in production, alongside product, design and engineering. You will help shape both what the agent can do and how people use it across ElevenCreative. The work combines substantial greenfield development with improving and operating a live product. Requirements We care about evidence of exceptional engineering: products you have shipped, difficult problems you have solved, and systems you have owned. We are looking for: - Strong backend engineering skills, experience operating production systems, and sound fundamentals in APIs, cloud infrastructure, storage and asynchronous processing. - Hands-on experience developing agents, with an understanding of prompts, tools, execution logic, evaluations and the challenges of reliable, secure operation. - Evidence of independent, end-to-end ownership and confidence working across the stack, including frontend delivery when needed. - Good product judgement, clear communication and enthusiasm for creative agents. We may also consider exceptional engineers with closely relevant experience. Familiarity with HTTP, WebSockets and asynchronous workers will help you build reliable communication between services and recover from failures. Experience with multimodal generation, creative editors, MCP, or building products in a small, fast-moving team would be particularly valuable. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Full-stack Engineer - Creative Agents
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We are looking for a full-stack engineer to help build the next generation of Creative Agents at ElevenLabs. Our ambition is to make agents a primary way people create across ElevenCreative. We are building systems that turn ideas into high-quality audio, image and video, bringing models and creative tools together without requiring users to become prompting experts. The creative agent is already live. You will join a small team where engineers own complete problems across the full stack: frontend, backend, agent architecture and infrastructure. You should be equally comfortable building a user-facing feature, designing the services behind it, and deploying and operating the system in production. You will combine strong engineering with product judgement, taking ideas from early prototypes through to reliable features and using real customer feedback to guide what we build next. Your responsibilities will include: - Designing and building complete agent-powered features, from frontend interfaces and application state to backend services, APIs and data storage. - Developing agent capabilities and integrations, including model orchestration, creative tools and reliable asynchronous workflows for audio, image and video generation. - Building and operating the infrastructure behind these features, improving quality, performance, scalability and security through evaluations, monitoring and testing. - Owning a problem area from discovery and prototyping to deployment and ongoing operation, working closely with product, design and engineering. You will help shape both what the agent can do and how people use it across ElevenCreative. The work combines substantial greenfield development with improving a live product, with room to experiment and directly influence the product's direction. Requirements We care about evidence of exceptional engineering: products you have shipped, difficult problems you have solved, and systems you have owned. We are looking for: - Strong engineering skills across both frontend and backend, with a track record of independently building complete production applications. - Confidence designing user interfaces, backend services, APIs and data models, and understanding how these components work together as a system. - Practical experience with cloud infrastructure, deployment, asynchronous processing, testing and observability, with the ability to debug and resolve problems across the full stack. - Evidence of end-to-end ownership, strong product judgement and clear communication, taking ambiguous problems from technical design through to shipping and ongoing operation. You should be excited about creative agents and comfortable learning quickly as models, tools and user needs evolve. Hands-on experience building production agents, evaluations, MCP integrations, creative editors or multimodal products would be particularly valuable, as would experience building in a small, fast-moving team. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Procurement Operations Business Partner, Technolog...
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 Procurement Operations is the front door for buying at Anthropic. We sit inside Finance Operations and own the path from “I need to buy something” to a signed agreement, an accurate purchase order, and clean spend data at month end. We are hiring a Procurement Operations Business Partner to own that path for our technology spend: business applications, SaaS tools, cloud and infrastructure services, and the engineering and developer tools our teams build with. This portfolio is software heavy: new tools evaluated and onboarded regularly, licenses that renew on their own schedule, and vendors billed on seats, usage, or tiered subscription terms rather than a single invoice. You will be the person who makes buying software feel simple to the teams who depend on it and reliable to the Finance stakeholders behind it. This is a high-volume role with an accounting core. You ensure every software purchase in your portfolio is coded, dated, received, and accrued correctly, so spend is right in the books every month. Expect a steady queue of new tool requests, renewals, and license changes, and expect to be the person Accounting trusts on all of it. We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native procurement operations function looks like, including how AI changes intake, contract and security review, vendor coordination, and requester support. Responsibilities Own the purchasing process - Manage a high volume of purchase requests, renewals, and license changes each month across the organization, keeping speed and accuracy high at the same time. - Serve as the primary procurement partner for the teams buying in your categories, guiding requesters from initial request to signed agreement and issued purchase order. - Review every purchase request in your portfolio for the things that matter downstream: the right vendor record and contracting entity, complete commercial documents, correct spend categorization and service dates, and the approvals the purchase actually needs. - Determine what else each request requires before it can move, whether that is an order form, a data privacy review, or a third party risk assessment, and route it to the right reviewers the first time. - Partner with Security to run a vendor security review on every new tool and at every renewal, and hold the line that nothing goes live without one. - Launch and track contract review with Legal, keep it moving, and confirm the executed agreement supports the purchase order before it is issued. - Structure purchase orders so they match how the vendor bills (seat-based, usage-based, tiered subscription, or flat annual fee) and how Accounting needs to see the spend, with the right GL account, cost center, and service period on every line. Manage renewals, true ups, and seat count changes over the life of each agreement. - Track license counts and renewal dates across your portfolio so nothing auto-renews or lapses by surprise, and flag underused or overlapping tools to budget owners ahead of the next renewal cycle. Financial completeness and accuracy - Code every purchase order correctly at creation, including GL account, spend category, cost center, and service period, and understand how each choice lands in the financials (expense versus prepaid, annual versus monthly recognition). - Work the hard cases with Accounting: multi year subscriptions paid upfront, mid term seat additions, true ups, credits, and contracts amended mid cycle. - Own the open purchase order book: receipts recorded against actual delivery, periodic reviews, stale line cleanup, coding corrections, and timely closures, so PO, receipt, and invoice agree. - Serve as the first line reviewer for month-end accruals on your portfolio, gathering estimates from vendors and budget owners for variable spend and confirming or correcting proposed amounts so Accounting can close on time. - Partner with Accounts Payable to resolve invoice holds, PO mismatches, and receiving questions so vendors are paid on time and spend lands where it belongs. - Support audit and reporting requests that touch your portfolio, including commitment schedules and control evidence, with data you can stand behind. Be the front door - Be visible and responsive in your teams' Slack channels and office hours; answer routine purchasing questions quickly and escalate real blockers with context. - Apply purchasing policy consistently and explain the why, including approval thresholds, signature authority, and when an exception is and is not available. - Translate procurement, legal, security, and finance requirements into plain language for engineers, IT, and business stakeholders, and carry their operating reality back to those teams so controls fit the work. - Keep a regular check in with your highest volume teams so upcoming purchases and renewals are visible early and nothing urgent arrives as a surprise. Continuous improvement - Maintain the playbooks, intake guidance, and standard operating procedures for your portfolio so the path is repeatable and does not live in one person's head. - Identify manual steps, repeat questions, and failure points and fix them, including where Claude and workflow automation with AI can take work off requesters and the team. Minimum qualifications - Proven track record of owning a high-volume purchasing portfolio end-to-end in a procure-to-pay and intake platform. - Solid working knowledge of accrual accounting as it applies to purchasing: accruals and reversals, service period and cutoff, prepaid versus expense, and GL and cost center coding. You can explain how a purchase order becomes an entry in the general ledger. - Experience buying and managing software or SaaS at scale, including seat-based, usage-based, and tiered subscription billing models. - Experience owning the tool and vendor lifecycle end to end, from intake through security review, contracting, renewal, and sunset, with the judgment to know when to push a request through and when to slow it down. Preferred qualifications - 7+ years of procurement operations, purchasing, or vendor operations, including time supporting IT, engineering, or business systems teams. - Background in accounting, accounts payable, or a month-end close process. - Direct experience with Zip, Workday Financials, and Ironclad. - Prior ownership of month-end accrual review or open PO reconciliation for a large, variable spend portfolio. - Experience with software asset management or license optimization, including identifying underused or redundant tools. - Experience designing tiered intake or approval frameworks that sped up low risk purchases without weakening controls. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $230,000 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.
Manager, Enterprise Sales - HCLS
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Sales Manager for Healthcare & Life Sciences at Anthropic, you'll lead the foundational team introducing our frontier AI platform to the healthcare and life sciences ecosystem — spanning biopharma, payors, and providers. You'll build and develop a team of Strategic Account Executives who drive adoption of safe, frontier AI by securing strategic deals with biopharma companies, health plans, health systems, and hospitals. You'll bring deep domain fluency across the segment to coach your team's consultative sales approach, while becoming a trusted advisor yourself to senior healthcare and life sciences stakeholders — helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with Product and Marketing, you'll continuously refine the team's value proposition, sales methodology, and market positioning to resonate with decision-makers across each sub-segment. The ideal candidate has a passion for developing new market segments within healthcare delivery, payor operations, and life sciences, pinpointing high-potential opportunities across the portfolio, and building a team that can execute strategies to capture them. By driving deployment of Anthropic's emerging products across biopharma, payor, and provider organizations, you'll help healthcare and life sciences enterprises obtain new capabilities while advancing the ethical development of AI. Key responsibilities - Build and lead a specialized team of Strategic Account Executives covering biopharma, payor, and provider accounts, setting growth targets by sub-segment and coaching reps through the full sales cycle from outbound to close - Design and oversee sales strategies tailored to each sub-segment's distinct procurement cycles — R&D and commercial budgeting in biopharma, value-based care initiatives and Star Ratings priorities for payors, clinical and administrative budgeting for providers — translating market and trend analysis into account plans and campaigns that meet and exceed team revenue targets - Identify and prioritize high-potential opportunities across clinical departments, care management teams, claims processing units, drug discovery and commercial functions, and administrative offices, partnering cross-functionally to differentiate Anthropic's offering for healthcare delivery, payor, and life sciences use cases - Run a disciplined pipeline and forecasting cadence across the team, managing an evolving sales process to deliver predictable, coachable performance against quota - Serve as Anthropic's domain expert across the healthcare and life sciences value chain — including payer operations (claims adjudication, prior authorization, risk adjustment), provider operations, and biopharma R&D/commercial functions — and translate that expertise into repeatable playbooks, frameworks, and go-to-market strategies your team and the broader field organization can scale - Partner directly with C-suite executives (CEOs, CFOs, CMOs, CTOs, CCOs) across biopharma, payor, and provider organizations to design multi-year AI transformation roadmaps and build long-term trusted advisor relationships - Partner closely with Product and Applied AI to translate feedback from clinicians, care coordinators, researchers, and administrative leaders into product and roadmap input, strengthening Anthropic's value proposition across the segment - Build strategic relationships with healthcare- and life sciences-focused system integrators, health tech vendors, and industry organizations to scale go-to-market capabilities - Establish Anthropic's position as the AI partner of choice across healthcare and life sciences through conference presentations, white papers, case studies, and participation in industry forums (e.g., AHIP, NAHU, JPM Healthcare Conference, regional Blues plans associations) - Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across biopharma, payor, and provider accounts Minimum qualifications - 10+ years of experience in healthcare and/or life sciences, with at least 5 years specifically across payor, provider, or biopharma segments (health plans, managed care organizations, PBMs, health systems, pharmaceutical/biotech commercial or R&D functions, or related consulting) - Experience in leadership roles managing or coaching enterprise sales teams, with a track record of driving measurable revenue outcomes in healthcare and/or life sciences settings - Deep understanding of business models, operations, and economics across at least one of biopharma, payor, or provider segments — including the regulatory environment (CMS regulations, HIPAA, FDA) and competitive dynamics - A track record of managing or overseeing complex, multi-stakeholder sales cycles within healthcare or life sciences organizations, securing strategic deals by understanding both technical requirements and clinical/administrative/commercial use cases - Proven experience exceeding revenue targets by effectively managing a team's pipeline and an evolving sales process - Excellent communication skills, with the ability to present confidently across healthcare and life sciences audiences — from clinicians and researchers to C-suite executives and payor leadership - A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications - Deep understanding of buying cycles, decision-making processes, and key pain points across two or more of biopharma, payor, and provider organizations - A strategic, analytical approach to assessing the healthcare and life sciences market, paired with creative, tactical execution to capture opportunities and a willingness to roll up sleeves on deals alongside the team - Experience developing and refining AI use cases in collaboration with customers and channel partners, spanning care delivery, population health, administrative efficiency, drug discovery, or commercial life sciences functions - Experience building or scaling a specialized sales team from an early stage - Passion for and/or experience with advanced AI systems and their applications across clinical and life sciences settings, with strong conviction around safe, ethical development of AI in these contexts 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: $450,000 - $550,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
IT Systems Engineer, Client Platform Engineer, mac...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Endpoint team (Client Platform Engineering) treats Anthropic's device fleet as a platform we build and run. We run our own MDM as a production service and manage every piece of device configuration as code. Policies, configuration profiles, queries, remediation scripts, and software all ship through pull requests, CI, a staging environment, and a canary group before they reach the fleet. The fleet is mostly macOS, plus a small number of Linux machines and a growing mobile footprint. You'll own that platform end to end: the infrastructure underneath the MDM, the configuration on top of it, the patching and software pipelines that keep thousands of devices patched and secure, and the telemetry that tells us what is actually true on every device. You'll also build automation that cuts down on manual operational work. You'll work with Security teams on hardening, compliance controls, and detection and response, and with developer and infrastructure teams to make sure those controls don't get in the way of their work. Your work will let us base access decisions on whether a device can be trusted. We value people who double check a compliance report before they believe it. The team is deliberately lean and runs with high autonomy. You'll help define the endpoint roadmap, make architecture decisions, and own the platform every Anthropic employee's work runs on. You'll also help us meet the security standards our Responsible Scaling Policy requires as models advance. Responsibilities - Own endpoint configuration as code: author, review, test, and progressively roll out MDM policies, configuration profiles, and remediation scripts across macOS and mobile, with canary stages and rollback built in - Operate the MDM platform itself as a production service, including infrastructure as code, observability, upgrades, and incident response - Build patch management automation with rapid enforcement timelines while maintaining good user experience - Design zero touch provisioning that turns a sealed box into a productive machine on day one - Support a small number of Linux machines alongside the Mac fleet - Turn fleet telemetry into policy, dashboards, and early drift warnings, and use Claude to automate manual ops work - Partner with Corporate Security on endpoint hardening, binary authorization, and compliance controls - Take shifts on the team's rotation for incoming requests and escalations, and serve as the deep escalation tier for endpoint issues IT Operations can't resolve You may be a good fit if you - Have 8+ years building secure IT systems in complex environments, including leading projects across multiple teams - Have managed endpoint fleets of thousands of macOS devices through a modern MDM - Treat endpoint configuration as code that is version controlled and peer reviewed, rather than clicking in consoles - Go deep on macOS internals such as launchd, configuration profiles, TCC, and system extensions - Write Python and shell scripts - Write design docs and runbooks so teammates can review and support what you build Strong candidates may also have - Have operated an MDM or device management platform as a service, not only consumed one as SaaS - Have worked with open source endpoint and device management tooling (Munki, osquery, AutoPkg) - Have built automated, progressive rollout systems with promotion gated on telemetry - Have experience running infrastructure as code in a public cloud - Have working knowledge of Linux administration (packaging, systems, config management) - Have used LLMs to automate ops work Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
IT Support Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The IT Operations team keeps Anthropic running. We want every employee to do their best work without friction. We're hiring an IT Support Engineer who pairs strong technical skills with a service mindset and good judgment. Anthropic is growing fast, and IT needs to keep pace. That means onboarding at scale, automating repetitive work (including with Claude), and improving the day-to-day employee experience. You'll handle support across our mostly macOS environment and help with the operational work that lets us scale. You'll work closely with IT Engineering and Security, with room to grow into more technical infrastructure work over time. This isn't a scripted support role. You'll have real ownership, use your judgment to improve our processes, and grow with the team as we scale. Key responsibilities - Triage and resolve issues across hardware, software, networking, and accounts, mostly through our ticketing system, plus Slack and in-person - Diagnose and fix issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) - Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement - Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) - Handle escalations that need cross-team coordination - Join an on-call rotation for urgent issues outside business hours - Provide hands-on support for user technology, AV systems, conference rooms, and printers - Communicate clearly with users at every technical level - Write and maintain internal documentation, including runbooks, how-to guides, and knowledge base articles - Spot patterns in support requests, surface recurring issues, and flag opportunities to automate - Help streamline onboarding and other high-volume operations as we scale - Contribute to automation efforts - Maintain and improve device management, identity, and access systems - Write scripts (Bash, Python) to automate repetitive tasks Minimum qualifications - Hands-on IT support experience, ideally in a fast-paced environment - Experience supporting macOS endpoints, and comfortable supporting ChromeOS, iOS, and Android - Experience with Google Workspace administration - Experience with Slack administration, including workspace management, permissions, and troubleshooting - Experience supporting and administering other SaaS tools - Understanding of identity and access fundamentals: SSO, MFA, directory services - Familiarity with MDM fundamentals and endpoint management concepts - Basic scripting (Bash or Python) for automation - Strong troubleshooting skills, with a methodical and persistent approach - Clear communicator who enjoys helping people solve problems - Take ownership of problems and follow through until they're resolved Preferred qualifications - Familiarity with zero-trust security concepts and endpoint security tooling - Networking basics: DNS, DHCP, VPNs - Experience with IT projects beyond day-to-day support, such as migrations, tool rollouts, or process redesigns - Experience using AI tools to improve personal or team productivity - Interest in developing deeper technical skills and taking on more complex systems administration over time 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: €125.000 - €165.000 EUR 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.
Growth Marketing Lead
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Growth team helps people discover, adopt, and become successful on Claude. Product managers, engineers, designers, data scientists and marketers work together as one team across every product and plan: Pro, Max, Team, Enterprise, as well as the API for developers. Growth marketing sits within this unified Growth team, and is responsible for performance marketing, lifecycle, and SEO. We are hiring a Growth Marketing Lead to own and scale our performance marketing efforts. This leader will define channel strategy across self-serve and sales-assisted journeys, develop programs for distinct customer segments, and own measurable impact from demand creation through customer growth. Key responsibilities - Own our global performance marketing channel strategy across all channels, including forecasting, planning, audience targeting, and budget pacing - Execute growth campaigns end-to-end across acquisition, activation, and retention, from hypothesis through launch and scale - Build campaigns and programs for consumers, developers, and businesses - Own self-serve and product-led B2B demand generation for Team, Enterprise and the API, and partner with Enterprise Marketing and GTM on sales-assisted demand - Partner closely with Data Science on incrementality, holdouts, attribution, lifetime value and payback - Drive experimentation and incrementality measurement, translating results into scalable playbooks across markets, segments, and sales motions - Work with Growth Product and Growth Engineering on top-of-funnel experiments, tracking and the marketing stack, so campaigns do not stop at the click - Work with Brand, Content and Product Marketing to get high-quality creative out much faster, and take what works in core markets international - Turn complex analysis into clear recommendations for senior leadership, shape the long-term roadmap, and lead and grow the growth marketing team Minimum qualifications - Have 10+ years in growth or performance marketing at high-growth technology companies with a self-serve or product-led motion - Have led a growth marketing function, owning the team, budget, and KPIs across multiple channels, and have been hands-on in the work recently - Have driven self-serve and product-led B2B demand generation as well as consumer growth, and have partnered well with enterprise marketing and sales teams - Are rigorous about experimentation and incrementality, can pull and check your own numbers, and can hold your own with data scientists - Reason from first principles, push through blockers and ship, and bring partner teams along while you do it - Communicate clearly in writing and can explain marketing performance to non-marketers and executives - Technical background or ability to work effectively with engineering teams - Already use AI to work faster and better, have a point of view on how it changes growth marketing, and are excited about Anthropic's mission Preferred qualifications - Have marketed to developers or other technical audiences, or worked on an AI product - Experience across both SEO and lifecycle, in addition to performance marketing - Experience working on products with dual B2C and B2B funnels - Experience working on consumer subscription businesses - Founder background The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Member of Technical Staff - SDK (Stockholm)
About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We’re looking for strong engineers with experience building software that developers love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful abstractions that enhance developer productivity. Requirements: - 5+ years of experience developing high-quality Python, JS or Go applications or libraries where the code is used or interacted with by other developers - A strong code-as-product sense that manifests as a focus on developer ergonomics and productivity. - Knowledge of async programming and concurrency management/pitfalls - A high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems. - Ability to participate in on-call rotation and respond to production incidents. - Ability to work in-person in our New York or Stockholm office. - Any of the following would be a plus: - Having built developer tools or SDKs - Experience maintaining open-source software - Good understanding of agentic development workflows - Familiarity with modern data / ML / AI tools and workflows Key Actions the team is working on: - Improving developer and agent experience of our SDK and CLI - Developing new primitives to meet demand for entirely new areas that arise as a result of the ongoing industry transformation
Director, Technical Accounting – Investments
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Director, Technical Accounting – Investments and M&A to join our Finance team at Anthropic. In this role, you will own the company's accounting for strategic investments, partnerships with investment components, and related capital transactions, and support mergers and acquisitions when deal volume requires. You will report to the Senior Director, Technical Accounting – M&A and Investments. As Anthropic continues to scale rapidly and deploy capital into strategic investments, joint ventures, and novel commercial structures, including compute arrangements that carry warrants and other investment features, you will be a key technical resource on classification, consolidation outcomes, fair value, and financial statement impact across the portfolio. You will partner closely with Corporate Development, Legal, Tax, Treasury, FP&A, and leadership to ensure that investment economics are accurately reflected under US GAAP and that positions are defensible to external auditors, valuation specialists, and future regulators. This is a builder role: you'll help stand up and continuously sharpen the portfolio accounting process, controls, and valuation governance expected of a world class finance organization, working alongside the Senior Director as the function takes shape. If you want to own a portfolio end to end — and still be in the room when deals are shaped — we want to hear from you. Responsibilities - Execute technical accounting for strategic investments, joint ventures, partnership structures, and related financing/equity instruments from entry through exit - Partner with and influence Corporate Development to steer investment structures toward preferred terms and outcomes, reviewing term sheets and deal documents before signing - Own entry accounting for each new investment — classification under ASC 321, 323, or 810, VIE/primary-beneficiary analysis, basis differences, and the initial measurement memo - Run the quarterly portfolio review — reconsideration events, impairment indicators, observable price changes, and equity method pick-ups — and account for follow-on investments, conversions, down rounds, and exits - Own the investment rollforward, its reconciliation to the general ledger, and the portfolio reporting that supports close, FP&A, and leadership, including review of portfolio company financial statements - Manage third-party valuation specialists; review fair values of investments, warrants, and derivative features, including Level 3 inputs and impairment analyses - Assess warrants, equity rights, and other investment components embedded in partnerships and compute arrangements, partnering with Accounting Policy on how consideration is allocated - Support M&A transactions alongside the M&A lead when deal volume requires — accounting due diligence, purchase accounting (consideration measurement, PPA review, opening balance sheet), and measurement-period adjustments - Author and defend technical accounting policies & memoranda; partner closely with external auditors on investment, consolidation, and M&A matters - Help build the investments operating model — intake form and approval gates, memo templates, quarterly checklists, and SOX-ready controls — designed to scale as the portfolio grows including utilizing Claude, ERP systems and third party applications (as applicable) - Prepare and review investment and transaction disclosures for quarterly and annual filings, including fair value, equity method, and VIE disclosures - Present investment accounting conclusions and financial statement impacts to leadership and cross-functional stakeholders in clear, decision-ready terms - Monitor standard-setting and SEC developments affecting investments, consolidation, and business combinations; support adoption and cross-functional education Minimum qualifications - Bring significant Big 4 experience — ideally in a National Office, Transaction/Deal Advisory, or Capital Markets/Accounting Advisory group — paired with in-house experience at a technology company and public accounting or advisory experience - Proven experience leading complex valuations (e.g., business combinations, equity and debt investments, warrants and other Level 3 instruments), including directing and challenging the work of third-party valuation specialists - Have owned the accounting for a portfolio of minority/strategic investments, including quarterly impairment and fair value monitoring and at least one investment of meaningful scale or complexity - Possess deep command of US GAAP for investments in equity securities, equity method, consolidation and VIEs, fair value measurement, and business combinations, with a track record of positions that withstand auditor and regulator scrutiny - Are fluent in valuation concepts and can direct and challenge third-party specialists on private company fair value, warrant/option pricing, impairment, and PPA models - Have operated within an investments-accounting or deal-accounting function, contributing to playbook and controls design - Communicate effectively with Corporate Development, Legal, and Tax on structuring trade-offs, translating technical conclusions for cross-functional and senior stakeholders - Demonstrate exceptional written and verbal communication, translating complex investment and deal accounting into clear business implications - Excel at hands-on technical execution in a fast-paced, ambiguous environment, shifting between portfolio work and live deals as priorities change - Are proficient with accounting systems (Workday preferred), consolidation tools, and advanced Excel/modeling - Curious about and quick to adopt new AI tools, including Claude and Claude for Finance Preferred qualifications - Have 10+ years of progressive accounting experience, including 4+ years owning strategic investment, equity method, or consolidation accounting end-to-end - Have deep, practitioner-level expertise in one or more of the following: - Investments in equity securities, equity method, and consolidation (ASC 321, 323, 810), including VIE/primary-beneficiary analysis, basis differences, and the measurement alternative - Fair value measurement, derivatives, and embedded features (ASC 820, 815, 825), including warrants and Level 3 inputs for private company investments - Business combinations and asset acquisitions (ASC 805), including contingent consideration and step acquisitions - Collaborative arrangements and consideration exchanged in commercial deals (ASC 808, 606) - Hold an active CPA license - Have built an investment accounting process from the ground up, including intake, quarterly monitoring, and SOX-compliant controls over non-routine/complex transactions - Have prepared or reviewed investment disclosures in SEC filings, including fair value hierarchy, equity method, and VIE disclosures - Have experience with novel AI/technology structures — investments bundled with compute or commercial agreements, warrants received from customers or vendors, revenue-share partnerships, and strategic investor rights — and are passionate about leveraging AI to automate portfolio monitoring, memo drafting, and close Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Administrative Business Partner, GTM - London
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a highly organized, detail-oriented, and self-starting Administrative Business Partner to support senior Go-To-Market leaders at Anthropic. This role requires exceptional administrative efficiency and flawless execution to manage leaders' scheduling, logistics, and communications. You will maintain immaculate systems to ensure no details slip through the cracks while providing comprehensive support. As a critical point of contact, you will need to demonstrate exceptional organizational abilities in a fast-paced, high-volume environment, maintaining meticulous systems while handling shifting priorities. Success requires outstanding attention to detail, strong relationship-building skills, and the ability to anticipate needs across teams while ensuring responsive, error-free execution. Responsibilities: - Scheduling and managing calendars for leader(s) and their organization(s), supporting with tracking and execution of action items - Building and maintaining organizational systems for tracking and managing inbound requests - Managing the leader's inbox and communications with precise attention to detail, maintaining rapid response times and ensuring all messages are swiftly triaged - Providing seamless and welcoming experiences for in-person visitors, ensuring prospective external partners feel valued and appreciated - Handling travel logistics and coordinating logistics for conferences and events in partnership with comms, sales, and marketing teams. - Coordinating with internal stakeholders to gather necessary information and materials for meetings - Managing expense claims and reimbursements for leaders, ensuring timely processing and accurate record-keeping - Assisting with ad-hoc projects using your problem-solving skills and proactive mindset to drive positive outcomes You may be a good fit if you: - Are highly organized with the ability to build systems to track and prioritize multiple tasks - Maintain a high level of attention to detail in fast-paced and changing environments and take pride in flawless administrative execution - Have experience working in heavily external facing Executive support roles - Have enthusiasm for supporting leaders in executing their vision, and ensuring they have the necessary resources and information to succeed - Have excellent time management skills - Have a positive, calm, and welcoming attitude and are able to communicate effectively with internal and external stakeholders at all levels - Have a proven track record of handling sensitive and confidential information with discretion Strong candidates may also have: - A strong interest in Anthropic’s mission and deep commitment to AI safety in research and product development - Experience supporting executives or busy leaders - A security mindset with a thorough understanding of data protection and privacy best practices Role-Specific Location Policy: - Currently, we expect all staff to be in our office at least 25% of the time. For this role specifically, however, we expect it may be necessary to be in the office more regularly, around 3-4 days a week. 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: £145,000 - £145,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
M&A & Equity Financing Legal Counsel
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary As our M&A & Equity Financing Legal Counsel , you will work directly under the Head of M&A and Finance Legal Counsel, based in Paris. In close collaboration with our Business and Finance teams, you will play a key role in structuring, drafting and negotiating Mistral’s external growth transactions and equity fundraisings. Mistral operates at the frontier of AI, where the pace of innovation demands transaction execution speed and precision that match the technology itself. You will help shape the growth and business relationships that will define Mistral’s next chapter. Key responsibilities - Draft, negotiate and advise on a wide range of M&A transactions, including acquisitions, acqui-hires and other internal or external growth projects worldwide. - Take an active part in every stage of M&A transactions: deal structuring, due diligence, negotiations, signing and closing. - Coordinate the process for Mistral’s equity fundraisings, including legal communication with prospective investors, structuring the company's due diligence disclosure, drafting investment documentation and leading the signing and closing of equity fundraisings. - Coordinate and assist on Mistral’s secondary sale transactions on behalf of investors and employees. - Draft, negotiate, and advise on transaction documentation, including LOIs, NDAs, SPAs, shareholders' agreements, investment agreements, and other ancillary transaction documents. - Collaborate with cross-functional teams, including other corporate functions. - Build internal templates, practices, and guidelines for M&A and equity financing documentation. - Support on other legal topics as needed, particularly on compliance matters related to corporate affairs. Qualifications and skills - Bachelor's degree or above (LLB, LLM or Juris Doctor preferred) from an accredited law school in France or another EU country. Admission to practice law in at least one additional jurisdiction, in particular the USA or the UK, would be a plus. - A minimum of 4–5 years of relevant legal experience, including at least 3 years at an international law firm. - Substantial experience in M&A, VC and/or equity financing transactions, including hands-on experience working on large- to mid-cap acquisitions, from due diligence through signing and closing. - Familiarity with VC/PE-type transaction documentation is highly valued: you understand complex shareholders’ agreements, management and employee incentive packages, as well as the governance dynamics of venture-backed and PE-backed companies. - Excellent written and verbal communication in both English and French, with a strong ability to present complex legal concepts clearly to non-legal stakeholders. - Knowledge and understanding of artificial intelligence technologies, including machine learning, natural language processing and their applications. - Adaptability: proactive, flexible, eager to learn and able to manage multiple priorities in a fast-paced environment. - Ethical awareness: a strong understanding of ethical considerations related to AI, such as fairness, transparency, accountability, and bias mitigation. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Enterprise Account Executive - Consumer Brands
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced, motivated Enterprise Account Executive to drive ElevenLabs' growth across Consumer Brands: the household names that millions of people call, shop with, order from, and fly with every day. That means everyday retail, grocery, CPG, quick-service restaurants, travel, hospitality and airlines. These companies win or lose on customer experience at massive scale, and their customers increasingly expect to talk, not type. Our ideal candidate is passionate about the transformative possibilities of AI voice technology and eager to act as a strategic partner, helping Fortune 500 and large-scale consumer companies reimagine how they serve, sell to, and sound to their customers. In this role you will: - Build and manage a growing portfolio of new accounts across QSR, grocery and retail, CPG, and travel and airlines to help ElevenLabs meet its revenue goals - Identify opportunities where conversational AI can drive growth, automation, or cost efficiency in both customer facing and internal agentic workflows, such as customer care, qualification and bookings, helpdesk, learning and development, brand voice across marketing and localization and many more. - Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends like agentic commerce - Demonstrate expertise, or a strong willingness to learn, about how ElevenLabs' voice technology unlocks value across customer support, virtual agents, in-app assistants, and creative content - Develop and execute account strategies across the whole buying group (CX and Operations, Digital and Product, Marketing and Brand, Technology), landing with one high-impact use case and expanding across business units, brands, and markets - Partner closely with Forward Deployed Engineers to solution high impact use cases, manage a successful Proof of Value with end customers, and set up customers to scale successfully in production - Serve as a trusted advisor, educating clients on generative AI and voice, and help shape the Consumer Brands playbook: ICP, messaging, and references Requirements - 7+ years of quota-carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms - Experience selling to consumer-facing enterprises (QSR, grocery/retail, CPG, travel/hospitality/airlines) is a strong plus - Proven success closing seven-figure deals and managing complex, multi-stakeholder sales cycles - Experience selling to both technical buyers (product and engineering) and business buyers (CX, operations, marketing and brand), and translating complex technology into business value - Adept at deeply understanding a customer’s business and unique requirements for success, and translating ElevenLabs’ capabilities into solutions that deliver against their needs - Proficient in enterprise procurement, security review, and legal processes, with the ability to work autonomously and effectively as a cross functional partner - Strong executive presence, the ability to build relationships at the C-suite and board level, and willingness to travel frequently and proactively for onsite client visits and conferences - Comfort in an early-stage, high-growth environment, where ambiguity is the norm and the state of play changes rapidly - Passion for voice and audio AI and how it can unlock transformative value for customers Location This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. There is a preference for candidates to be based in New York or San Francisco, with the option to work out of our office. LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Staff+ Software Engineer, Research Systems Enginee...
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 Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models. Every other team at Anthropic depends on these systems. In this role, you'll work directly with our Research teams to build the reliable, scalable, performant infrastructure our research depends on. This is a cross-functional systems team: you'll scope and lead complex, multi-month infrastructure projects and resolve the performance and scalability bottlenecks that limit how fast we can grow. Key responsibilities - Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system - Build deep partnerships with researchers and Research teams to understand their needs and deliver for them - Mentor other engineers and help raise the technical bar for the team - Build alignment on technical direction across multiple teams, working through ambiguous problem spaces - Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow - Lead the improvement of operational processes across Infrastructure, such as incident response, postmortems, and on-call rotations, so the team learns from every incident Minimum qualifications - Experience designing, building, and operating large-scale distributed systems or infrastructure in production - Experience independently scoping and delivering complex, ambiguous, multi-month technical projects - Prior experience as a technical lead or mentor for other engineers - Experience making architectural decisions that other engineers and teams build on top of - Strong software engineering fundamentals and proficiency in at least one programming language (e.g., Python, Rust, Go, Java) - Experience with modern cloud infrastructure (e.g., Kubernetes, infrastructure as code, AWS, GCP) - Strong written and verbal communication skills, with experience building alignment across multiple teams or stakeholders Preferred qualifications - 10+ years of software engineering experience, not including internships - Experience with machine learning infrastructure (e.g., GPUs, TPUs, Trainium) and associated networking infrastructure (e.g., NCCL) - Low-level systems experience (e.g., Linux kernel tuning, eBPF) - Experience applying security or privacy engineering best practices The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Partner Account Manager - Italy
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 This is a critical leadership role responsible for building and scaling Anthropic's consulting, GSIs and AI-native boutique partners across Italy . You will own the strategic roadmap, investment prioritization, development plans, and revenue accountability for a portfolio of partnerships that will collectively become critical drivers of Anthropic's enterprise growth. This is a builder role, not a manager role. Given Anthropic's stage, we need someone who has proven they can take partnerships from zero to scaled revenue engines — someone who has built these relationships from the ground up, not just inherited and managed existing ones. Key responsibilities Partnership development and execution: - You will treat each partner as a structured sales pursuit with detailed stakeholder mapping, account plans, and targeted engagement strategies. - You will guide partners in creating repeatable customer solutions that address specific use cases across industries including financial services, healthcare, retail, manufacturing, public sector, and professional services. Performance and KPI ownership: - Own and drive key performance indicators: partner-sourced pipeline, partner-influenced revenue, consultants trained and certified, joint proposals submitted - Establish clear success metrics with each partner and drive regular business reviews against targets - Report on partnership health, progress, and commercial outcomes with data-driven insights - Every deal influenced through your partner portfolio must be architected for customer success and long-term value expansion. You will establish success criteria for joint accounts, ensure proper implementation and adoption support, and create feedback loops that drive continuous improvement. Market Development & Brand Building - Amplify the Anthropic brand across Italy through strategic partner relationships - Develop and execute market-specific GTM strategies adapted to local business practices and cultural nuances - Navigate regional regulatory, compliance, and data sovereignty considerations - Create competitive differentiation through unique partner capabilities and joint value propositions You may be a good fit if you have: - Builder mentality — comfortable starting from zero and creating scaled partnerships - Fluent in English and Italian - 12+ years of experience in enterprise technology partnerships, ideally within cloud, AI/ML, or platform businesses - Deep existing relationships at VP+ level within target partners - Data-driven mindset with focus on measurable outcomes and KPI attainment. Track record of driving incremental revenues through partnerships in the region - History of delivering exceptional customer success and brand protection through partner channels - Competitive drive — obsessed with winning and creating differentiation - Collaborative approach with ability to work cross-functionally across sales, product, marketing, and regional teams - Passion for AI and alignment with Anthropic's mission of beneficial AI development Working Relationships You will formally report to the International Partnerships leader, while your day-to-day work will be led by our South EMEA Partnerships lead. You will also partner closely with Anthropic's regional sales leader and their Account Executives, as well as the in-region Customer Success and Technical Account Management teams. Location and Travel This role will be based in Milan,Italy with travel expected to engage with partners and customers externally + regular international travel. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €185.000 - €220.000 EUR 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.
Data Center Capacity Delivery, Canada
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 Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Responsibilities - Lead. This is a role where leadership trumps management and process. You will be at one or more project sites 60% of the time or more and expected to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner. - You are expected to be a force multiplier that develops and enhances the skillset that development partners, general contractors, and key trades bring to the project(s) you are overseeing. That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment. - Confirm deal readiness and serve as the gatekeeper to validate transaction viability from Letter of Intent (LOI) through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment - Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders - Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships - Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimizing time-to-production - Prepare and present regular executive reporting on progress versus plan for facility development, supporting forward capacity planning and strategic decision-making - Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements - Develop and refine standardized processes and playbooks for facility delivery, driving continuous improvement as Anthropic scales its infrastructure footprint You may be a good fit if you - Have 10+ years of experience in the highest level of site leadership managing data center delivery, construction projects, or infrastructure deployment at scale. You won’t have a big direct team to delegate too but will instead be able to treat the entire cross functional organizations at a jobsite as your team. - Have a strong understanding of the end to end (dirt to delivery) data center development process to include entitlements and permitting, planning and supply chain, execution, commissioning, and handover. You are not an administrator but an active player in the arena comfortable making decisions and guiding delivery execution without the need to consult across multiple external parties. - You should understand data center design and construction as a simple and repeatable process that allows you to build and optimize delivery without a playbook and with minimal processes and tools handed to you. If you can think about building a data center the way kids might build a tree fort or construct a lego set, we want to talk. In this role you will often be on an island and responsible for your own destiny. You will have free reign to develop your own approaches with the mission guidance being your only bounds. No one will be there to empower your efforts; you will create your own influence by building relationships at the site and diving in at all phases to deliver success. You must thrive operating with ambiguity and have a willingness to own project outcomes, knowing that the buck stops with you. In this role, it is imperative that you are as comfortable in boots on a job site working to solve productivity issues with a group of blue collar trades as you are working across executives at development and contractor partners to optimize contract and commercial structures that incentivize delivery speed. It's a bonus if you - Understand AI/ML infrastructure requirements, including high-density power and advanced cooling systems - Have had leadership positions (General Superintendent, Project Manager) within a GC or EPC on hyperscale data center projects or in self performance of hyperscale data center development projects. - Prioritize extreme ownership and have the ability to create winning cultures across diverse job sites. - Are deeply familiar with lease negotiations, construction contracts, or real estate development processes and have strategies to move those arrangements from traditionally transaction and risk managed arrangements to collaborative efforts that align incentives around accelerated delivery of facilities 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 Manager, Enterprise Privacy
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager focused on Enterprise Privacy, you'll collaborate with Privacy Engineering, Infrastructure, Trust and Safety, Legal, Security, GTM, enterprise and platform product teams, and our cloud partners to evolve and extend the controls that enterprises, regulated industries, and governments require in order to bring their most sensitive work to Claude. You will synthesize complex and fast-changing business needs and partner closely with the teams that retain, protect, and govern customer data across Anthropic's first-party platform and Claude on AWS, GCP, and Azure. Together, you will ensure that privacy guarantees are enforced by our systems and are verifiable by our customers. This is a high-visibility role with substantial scope. Anthropic offers layered controls over how customer data is retained and accessed, and you will build the product surface that lets customers understand, govern, and verify these controls. This includes retention and access controls, access logs and compliance reporting, customer-managed keys and custody, data residency, and self-serve user interfaces. Your stewardship of these privacy capabilities earns the customer trust that is essential to Anthropic's mission. Key responsibilities - Deeply understand external customers with strict data handling requirements, from a bank's CISO to a healthcare system's compliance team to a government contractor's auditor, and the internal Trust and Safety, Legal, and GTM stakeholders whose needs pull in different directions. - Partner with Privacy Engineering to ship controls that unblock regulated customers, balance impact against engineering cost, and deliver at Anthropic speed. - Co-develop solutions with design-partner customers and their compliance teams, so shipped changes pass real audits, not just hypothetical ones. - Work with engineers to steer architecture and investment decisions with a long-term lens: balancing build versus buy versus rely-on-the-cloud-provider, and sequencing custody, residency, and transparency across clouds that ship on their own timelines. - Define success metrics for privacy controls, from preventing configuration incidents by design, to the speed at which customers can independently answer questions about their own data. - Define and iterate on the self-serve experience for compliance and security teams, expanding what an organization can check about its own posture, settings, and access history without having to wait on support tickets. - Gather and assess competing stakeholder needs and communicate prioritization trade-offs clearly to senior leadership, balancing privacy risk, safety requirements, legal exposure, and commercial impact. When something goes wrong, own what customers hear from us and when. - Work with engineering leads to decide how retention, access, residency, and custody controls are enforced, so that our infrastructure keeps the promises we make. Minimum qualifications - Experience taking a new product area from ambiguity to a durable roadmap, and shipping controls that enterprises or regulators depend on. - A track record of driving platform capabilities that balance the needs of multiple customer segments and internal stakeholders. - The judgment to make prioritization trade-offs between customer demand, risk, and engineering cost, and the clarity to communicate them. - The ability to internalize how privacy, safety, legal risk, and commercial impact interact, and translate that understanding into a coherent product vision. - Experience building highly collaborative and effective relationships with engineers and key cross-functional stakeholders. You have equal credibility providing design doc feedback to engineers, negotiating a control with a CISO without losing the relationship, and explaining a risk trade-off to leadership. Preferred qualifications - 8+ years of product management experience, with deep exposure to privacy, security, or compliance products. - Built or scaled audit logging, key management, data residency, retention, or access governance products for regulated customers. - Shipped controls across multiple cloud providers or partnered with AWS, GCP, or Azure at the platform level. - Worked with certification, attestation, or trust center programs (SOC 2, ISO 27001, FedRAMP). - Used Claude, Claude Code, or comparable agentic tools and formed opinions about the data controls they should offer. 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.
Applied AI Engineer
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're building agents that run real parts of our business, take on real work, and get better based on the results they produce. You'll build them with whatever is most capable right now: our own agents platform, the latest orchestration tools, and frontier models. The hard part is making them reliable, measurable, and safe enough for the business to depend on. You'll sit in Marketing Engineering and be forward-deployed to our growth pods, where you'll find the problems worth solving and own the solutions end to end. You might be a forward-deployed builder, an applied AI engineer who has taken agents beyond the demo stage, or a full-stack engineer who is curious about growth. Requirements - Python, SQL, LLM APIs and agent orchestration - You've shipped production systems that other people relied on, starting from a vague problem - You've built with LLMs beyond a demo and know how to evaluate them and where they fail - You measure whether what you built worked - Bonus: experience with GTM data or marketing systems. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Enterprise AI Development Strategist
The AI Development Strategist will report directly to vertical sales leadership and will play a critical role in generating and qualifying pipeline across Scale AI’s enterprise business. This is an education-focused, customer-facing role responsible for owning early-stage enterprise opportunities through Stage 2 qualification while helping prospective customers understand Scale AI’s capabilities, AI infrastructure offerings, and output methodology. This role is designed as a bridge into strategic enterprise AI sales and is ideal for experienced outbound or mid-market sales professionals looking to transition into enterprise AI sales. Unlike traditional SDR roles, this position is structured as a closing-capable role with meaningful ownership over customer engagement, qualification strategy, and pipeline generation. You will partner closely with Enterprise Account Executives and cross-functional teams to identify high-potential opportunities, educate customers on AI use cases, and ensure strong opportunity transition into active enterprise sales cycles. In this role, you will: - Own outbound prospecting and customer engagement through Stage 2 qualification - Drive customer outreach and education during the M1 phase of the sales process - Build trust with prospective customers and teach them about Scale AI’s capabilities, AI workflows, and output methodology - Lead discovery conversations to identify and qualify high-potential enterprise opportunities - Develop key narratives, content, and research through Stage 2 qualification - Lead cross-functional coordination, including with Solutions Engineering, Marketing, and GTM Strategy - Partner closely with Account Executives to transition qualified opportunities into active deal cycles - Develop a strong understanding of enterprise AI deployment patterns and customer use cases - Maintain strong CRM hygiene and pipeline visibility using Salesforce and related sales tools - Operate effectively within a verticalized sales organization across industries including Consumer, Financial and Professional Services, and Healthcare & Life Sciences (HCLS) - Thrive in a fast-moving environment while balancing customer education, outbound activity, and pipeline quality Ideally, You Will Have: - 1-2 years of experience as an account executive OR 4+ years of experience in outbound sales, business development, SDR, BDR, or closing roles - Experience selling SaaS, infrastructure, data, or technical products preferred - Demonstrated ability to generate qualified pipeline and exceed activity or revenue targets - Strong consultative communication and discovery skills - Ability to educate customers on complex technical concepts and workflows - Strong intellectual curiosity and willingness to develop expertise in AI fundamentals and enterprise AI workflows - Experience working in fast-paced, high-growth environments - Excellent writing and verbal communication skills - Strong sales process and systems skills (Salesforce, Outreach, Slack, Clari preferred) - Demonstrated ability to collaborate effectively with cross-functional teams and sales leadership - Strong organizational skills, attention to detail, and ability to manage multiple opportunities simultaneously - Technical curiosity or familiarity with AI, machine learning, or data infrastructure highly valued Sales Commission: This role is eligible to earn commissions. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $100,800 - $126,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Senior Fullstack Engineer, AI Observability & Eval...
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About The Team The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. About the role This role is onsite 5 days/week in Boston, MA We're looking for a Senior Fullstack Engineer to work on LangSmith. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with our enterprise customers, developer end-users, and cross functional internal stakeholders. What You Will Do - Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack. - Collaborate closely with product and design teams to iterate on new features. - Help drive aggressive project timelines while ensuring high engineering standards are being met. - Lead by example in writing clean, maintainable, and well-tested code. What You Bring - 5+ years of experience in software engineering working on complex platform products - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend. - Strong understanding of database systems, particularly Postgres and Redis - Experience designing and scaling APIs, preferably in a high-performance, data-intensive application - A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers - Strong ownership mindset - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms Compensation - Annual salary range: $175,000-$240,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Product Manager, Billing
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager in the Internal Products and Technologies organization, you'll partner with Engineering, Design, Growth, Trust & Safety, Support, and Finance to build the billing experiences every Claude customer uses, from the first purchase to the monthly invoice: - We own how customers buy and manage Claude: choosing and changing plans, viewing invoices, tracking usage and spend, and setting spend controls. - Your work reaches everyone who pays for Claude: individuals upgrading a plan, teams adding seats, developers buying credits, and enterprise admins managing budgets across thousands of users. - You'll define how Claude should explain a charge, change a plan, or set a spend limit for a customer. You'll also define how admins set spend controls for the agents their teams run. - You'll own billing experiences that convert well, resist abuse, and let customers resolve billing questions on their own. Responsibilities - Deeply understand customers across segments (consumers, developers, teams, and enterprise admins) and where billing friction costs us conversion, trust, or support volume. - Partner with Growth on purchase, upgrade, and plan-change flows, balancing conversion against clarity and long-term customer trust. - Partner with Trust & Safety to stop abuse of Claude plans and credits without adding friction for legitimate customers. - Design agentic billing experiences: Claude answering billing questions, resolving common issues, and taking billing actions, with a confirmation step wherever a mistake would cost the customer money. - Partner with Engineering and Design so every Claude product gives customers the same clear way to buy, upgrade, and manage spend. - Drive product strategy and roadmap, synthesize competing stakeholder needs, and communicate prioritization clearly to senior leadership. You may be a good fit if you: - Have 7+ years of product management experience, including self-serve purchase, subscription, or billing experiences. - Have shipped self-serve experiences where you owned conversion and retention metrics and ran experiments to move them. - Have strong product design instincts, and can make a confusing concept like proration, overage, or credits clear on a single screen. - Have built LLM-powered or agentic product features, and have a point of view on when an agent should act on its own and when it should ask first. - Are equally credible discussing system design with engineers, abuse patterns with Trust & Safety, and funnels with Growth. - Are comfortable making tradeoffs between growth, risk, and financial accuracy, and explaining them clearly. - Are scrappy and resourceful, and do what it takes to get things done. Strong candidates may have: - Shipped customer tools for usage-based or hybrid pricing (seats, usage, credits), such as usage dashboards, spend limits, and alerts. - Worked with Trust & Safety or risk teams to prevent abuse of plans, credits, or free trials. - Launched a product in new countries, including local pricing, tax, and currency. - Built self-serve help experiences that measurably reduced billing support contacts. - Scaled through hypergrowth (10x+ revenue). 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: $385,000 - $460,000 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.
Manager, Applied AI Architecture, Enterprise Tech
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As the manager of the Solutions Architect team within Applied AI Enterprise Tech at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. Our Enterprise Tech customers are some of the world's most sophisticated technology companies, deploying AI at the core of their products and operations.. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety. You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude for Enterprise, Claude Code, and the API. This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements. Responsibilities: - Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development. - Set goals for your team in collaboration with sales and other parts of the organization that establish baseline expectations for performance. - Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or use case scoping and POC execution. - Partner closely with Enterprise Tech sales leadership to identify new strategies to drive adoption of Anthropic products across customer use cases. - Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption. - Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building. - Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. - Contribute to thought leadership through conference presentations, webinars, and technical content creation. - Stay current with emerging AI/ML trends and the competitive landscape. You may be a good fit if you: - 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role. - 3+ years of technical pre-sales management experience. - Have deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments. - Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. - Have excellent communication, collaboration, and coaching abilities. - Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams at leading enterprise technology companies. - Have at least a high level familiarity with the architecture and operation of LLMs. - Have a passion for making powerful technology safe and societally beneficial. - Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may have: - Enterprise pre-sales leadership at scale : 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments. - AI Technical Depth + Executive Engagement : Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles. - Multi-Segment GTM Experience : Demonstrated success adapting technical approaches across customer segments (commercial to Fortune 100). The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 - $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Applied AI Architect
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success - Support customers building with both the Claude API and Claude for Work - Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases - Identify common integration patterns and contribute insights back to our Product and Engineering teams - Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns - Collaborate across time zones with global teams while serving as the technical expert for the India market You may be a good fit if you have: - 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager - Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Comfortable with Python - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems - Ability to work effectively across cultures and time zones as part of a global team 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.
Manager of Applied AI Architecture, Startups
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 Manager of Startups Applied AI Architects at Anthropic, you will drive adoption of frontier AI by leading a team of technical architects to help startups build AI-native products with the Claude Developer Platform. Your team is expected to win the trust of founders and engineers by supporting their technical ambitions from early product to scale. You'll bring your own builder credibility and startup instincts to the role — setting the vision for what great technical partnership looks like in the startup segment, developing a high-performing team, and personally carrying relationships with Anthropic's most strategic early-stage accounts. This is a role for a proven technical go-to-market leader who knows how to build teams that move at startup speed, earn the trust of deeply technical buyers, and turn a scrappy early engagement into a lasting technical partnership. You'll define the playbooks for nurturing and scaling new customers, set the bar for technical excellence, and grow the people — while staying close enough to the ground to know what's actually working. You will partner with sales leaders and work as one team to support your customers. Responsibilities: - Lead, develop, and grow a team of Startups Applied AI Architects — setting a high bar for technical credibility, customer impact, and startup-paced execution - Drive team performance through clear goal-setting, regular coaching, and a culture of continuous technical development - Personally lead pre-sales engagements with high-priority startup accounts, from initial technical discovery through deployment and expansion, modeling what great looks like for your team - Build and own the segment's technical playbooks: how to run technical evaluations, develop customer-specific eval frameworks, architect LLM solutions for resource-constrained early-stage teams, and win against competitive alternatives - Partner with aligned Account Executives and GTM leadership to shape segment strategy and drive Claude API adoption across the startup ecosystem - Ensure your team consistently surfaces insights on how startups are building with Claude — emerging use cases, deployment patterns, architectural decisions — and translate that signal into actionable feedback for Product and Engineering - Drive cross-functional influence across Sales, Product, and Engineering to advance startup customer needs and shape roadmap priorities - Build Anthropic's technical presence and credibility in the startup ecosystem through events, conferences, workshops, and content - Stay ahead of the AI engineering landscape — context engineering, eval frameworks, agentic architectures, developer tooling — and ensure your team is operating at the frontier You may be a good fit if you: - Have 8+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 5+ years leading and managing pre-sales or technical go-to-market teams - Have a strong track record of building and developing high-performing SA teams — you know how to hire well, coach effectively, and create an environment where technical talent grows and does their best work - Have deep experience working with startups or high-growth technology companies — you understand the velocity, constraints, and culture of early-stage companies and know how technical decisions get made at each stage of the journey - Bring genuine builder credibility: you've built and deployed LLM-powered applications, you speak the language of founders and founding engineers, and you can earn the trust of deeply technical audiences without relying on a title - Have hands-on expertise with context engineering, LLM evaluation frameworks, and modern AI architectures, and can guide both your team and customers through the decisions that separate a prototype from a production-grade system - Are comfortable with Python and fluent in the LLM frameworks, tools, and integration patterns common in startup engineering stacks - Are energized by building in ambiguous environments — you're excited to define the playbook, not just run it, and you thrive in fast-moving contexts where the technology and the customer segment are both evolving rapidly - Have a genuine passion for making powerful technology safe and societally beneficial Strong candidates may have: - Experience as a technical founder or in a founder-led sales motion, giving you firsthand understanding of what technical buyers in the startup world are actually evaluating - A track record of winning competitive technical evaluations against other LLM providers - Experience building foundational team infrastructure from the ground up: hiring frameworks, onboarding programs, technical playbooks, and coaching systems in a high-growth environment - Deep familiarity with how developer infrastructure procurement evolves from seed through Series B and beyond, and how to adapt your team's approach accordingly - A visible technical presence in the startup or AI engineering community through conference talks, written content, or open-source contributions 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: $315,000 - $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Customer Engineer, Majors - San Francisco
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: San Francisco, CA 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. Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $214,000.00 - $336,000.00 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Manager I, Engineering - Anomaly Detection
The Anomaly Detection team’s mission is to build scalable, cost effective systems that can automatically detect anomalies in our customers’ system telemetry. The ultimate goal is to be able to intelligently find problems in system telemetry proactively without the need for our customers to set up or configure specific alarms or alerts. This is a chance to work on a team that sits at the intersection of distributed systems and machine learning and applying those techniques at massive scale to serve a real world customer need. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: - Lead and develop an existing engineering team of 8; building trust, setting technical direction, and establishing a high bar for ownership and execution - Own the roadmap and execution for our key signal finding systems - Work closely with product management and applied scientists to build an effective detection system and the right evaluation mechanisms to ensure the quality of our signals - Build and operate both traditional machine learning and LLM based systems in production at scale - Drive the team's AI-native development practices, setting high standards for safety, validation, and increasing agent autonomy over time Who You Are: - Experienced engineering manager with a track record of shipping robust and scalable distributed systems with AI and/or ML components. Distributed systems experience is a must-have - Experience with Java, Python or Go, and experience working in a platform-focused team - Strong cross-team collaboration and stakeholder management skills - Comfortable making significant contributions to product strategy in an ambiguous environment rather than executing a pre-defined roadmap - Direct experience building and training ML models in production environments is a plus - Familiarity utilizing streaming technology (e.g. Flink, Kafka) is a plus Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development, product training, and career pathing - Intradepartmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) - Free, global mental health benefits for employees and dependents age 6+ - Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $192,000 - $240,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
Staff Software Engineer, AI Security
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The mission of our team is to build a scalable and secure AI platform that enables security teams across Robinhood to develop and operate AI-powered agents and security solutions with confidence. As a Staff Software Engineer on the AI Security team, you’ll help lead and build the foundational platform, infrastructure, and security primitives that make it easier for teams to develop AI-powered security capabilities at scale. You’ll work on complex engineering problems at the intersection of AI, distributed systems, and security, with a particular focus on areas such as identity, authentication, authorization, encryption, and platform safety. You’ll partner closely with security and engineering teams across Robinhood to create systems that make AI development easier while ensuring security is built into the platform from the start. This is a hands-on engineering role for someone who enjoys building platforms, solving complex technical problems, and helping shape how AI is securely adopted across security. This role is based in our Menlo Park, CA and Bellevue, WA office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do - Design and build a scalable AI platform that enables security teams to develop, deploy, and operate AI-powered agents and security capabilities - Build foundational platform services, APIs, libraries, and SDKs that make it easier for teams to integrate AI into security workflows - Design secure systems with strong identity, authentication, authorization, encryption, and data protection controls - Build and operate reliable, large-scale distributed systems that support AI-powered security use cases - Develop platform capabilities and guardrails that enable teams to safely build and operate AI agents - Partner with security, infrastructure, and engineering teams to understand their needs and translate them into reusable platform capabilities - Identify opportunities to improve platform performance, developer experience, reliability, and security through automation - Help shape the technical direction and architecture of Robinhood’s AI Security platform as the team and platform continue to grow What you bring - 8+ years of software development experience - 6+ years of experience building large-scale distributed systems, with experience designing systems around security concepts such as authentication, authorization, identity, or encryption - Experience building AI platforms, AI infrastructure, or production systems that support AI-powered applications or agents - Proficiency in Go or Python, with strong problem-solving and production debugging skills - Experience with cloud-native platforms and distributed systems technologies such as AWS, Kubernetes, gRPC, or Kafka - Strong understanding of security fundamentals and experience incorporating security into the design of production systems - Experience designing and building reusable platform capabilities, APIs, libraries, or developer tooling - Proven experience delivering large engineering projects with meaningful, long-term impact - Strong technical judgment and the ability to make thoughtful trade-offs across security, reliability, scalability, and developer experience - Ability to solve complex engineering problems and collaborate effectively across security and engineering teams What we offer - Challenging, high-impact work to grow your career - Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching - Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents - Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds. - Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not. - Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more - Employer-paid life & disability insurance, fertility benefits, and mental health benefits - Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $230,000 - $270,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $203,000 - $238,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $180,000 - $211,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Staff AI Data Transformation Architect
Staff AI Data Transformation Architect at ŌURA. Femtech Insider network role. Industry tags: Consumer Electronics, Consumer Goods, Fitness, Hardware, Health Care, Mobile, Mobile Apps, Software, Wearables, Wellness. Skills: Data Governance, Data Architecture, Databricks, Machine Learning, Data Quality, Data Integration, Stakeholder Management, Cloud Computing, Data Science, Training And Development. Locations: San Francisco, CA, USA. Work mode: on site.
Senior Machine Learning Platform Engineer, Foundat...
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. ML Platform powers hundreds of use cases and billions of inferences per day across Discovery, Safety, Economy, and Creation. We build the primitives that let teams train, evaluate, deploy, and operate models quickly and safely—so a new ML idea can reach production in weeks or less. We’re looking for a Principal Platform Engineer who treats platform as a product : someone who can turn complex ML/AI infrastructure into clear, durable APIs, SDKs and easy-to-use CLIs/UIs that our internal developers love. This role blends product thinking, developer experience, backend engineering, and infrastructure at scale. Hands‑on ML experience is a plus; a track record of building internal platforms that developers love is a must. You Are - Have 7+ years of professional experience and have a wealth of system design experience upon which to draw to build a scalable, reliable ML platform for all of Roblox. - A Code Machine; you love not only to design and communicate ideas but also to actually ship product. You obsess about user feedback, and constantly drive towards getting platform features in customers hands. - Proficient in API design and developer experience—gRPC/REST APIs, SDKs, CLIs, and simple UIs that developers love to use. - Good to have - experience with the end‑to‑end ML model lifecycle such as model serving, training, model CI/CD, and GPU resources management, and have built ML platform features that are delightful to use. - You're passionate about infrastructure‑as‑code and automating painful manual processes. You push for platform solutions that don’t leave on-call teams carrying the burden of design choices. - Passionate about supporting ML engineers to meet and understand their needs, and translating them into clean, durable platform abstractions. - A clear communicator who excels at both written and verbal communication across differing levels of technical detail. - Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field. You Will - Own platform as a product and set direction end to end: Define requirements, write RFDs, and ship APIs, SDKs, CLIs, and UIs that make ML@Roblox easy to adopt. - Bootstrap and maintain core ML Platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes. - Set technical strategy and oversee development of high scale and reliable infrastructure systems, with clear SLOs for latency, availability, and cost. - Design great developer experiences with paved‑road templates, golden paths, opinionated defaults, and clear docs to reduce time‑to‑first‑production. - Instrument the platform to measure adoption, friction, reliability, and cost; use data to prioritize roadmap and validate outcomes. - Partner across organizations (ML Engineering, Data Science, Infra/SRE, Security, Finance) to optimize performance, safety, and spend, especially for GPU‑intensive training and high‑QPS inference. - Propose and implement new platform tooling to improve time to production for MLEs across the full ML lifecycle. - Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading‑edge technologies and practices. - Mentor junior and senior engineers, lead design reviews, and drive cross‑team architectural decisions that last. 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 - $312,970 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.
Senior Programmer, AI and Creation Tools
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 Senior Tools Programmer to evolve artist tools within the Unreal Editor, particularly in geometry and texturing processing, terrain authoring, and procedural generation. An important aspect of this role is supporting both user-driven and agentic workflows, including exploring and implementing new interaction paradigms to accelerate content creation. You'll directly impact artist productivity by developing user-facing tools for one of the leading game engines used by developers worldwide. In this role, you will - Support and extend existing artist tools for internal and external users - Refactor existing tools to be more accessible and effective for agentic workflows - Create new tools at the intersection of user-driven and agent-driven content creation - Collaborate with artists on internal projects and productions - Work with other developers across team boundaries on shared initiatives - Contribute to major initiatives that shape the future of the Unreal Editor What we're looking for - Excellent C++ skills - Strong background in developing artist tools within the games or film industry - Experience with geometry processing, texture processing, or procedural generation - Fluency in using current agentic tools and workflows for programming tasks - Track record of exploring and applying AI capabilities to advance artist workflows - Experience developing in a large codebase - Ability to work independently and deliver effectively as part of a distributed team - Experience working collaboratively to deliver high-quality outcomes across teams 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 .
Senior Staff AI Security Lead
About IonQ: IonQ, Inc . [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. Location: This role can work onsite or hybrid from one of our offices. We are open to a fully remote option for the right candidate. Travel: Up to 10% Job ID: 1915 The Role: We are hiring a senior technical leader to build the AI foundation our security organization runs on — and to make sure it actually gets used. This is a dual-mandate role. You will stand up the enterprise AI infrastructure that lets security teams safely build with large language models and agents, and you will lead the adoption effort that turns that infrastructure into measurable gains across detection and response, threat intelligence, vulnerability management, GRC, and security engineering. This is a hands-on senior individual contributor role. You will write code, design systems, and set technical direction. You will not manage a team, but you will lead through influence: partnering with engineering leaders, coaching analysts and engineers, and building the coalitions that make org-wide change stick. Expect roughly an even split between platform building and enablement work. You will report to the security leadership team and work closely with Platform Engineering, IT, Legal, Privacy, and the broader AI/ML organization. Responsibilities : Stand Up the Enterprise AI Infrastructure - Build the platform. Design and build the shared platform security teams use to develop AI applications — model gateway and routing, authentication and authorization, secrets handling, rate limiting, cost attribution, and audit logging. - Enable agentic systems. Establish patterns and reusable components for agentic workflows: tool and MCP server integration, sandboxed execution, human-in-the-loop approval gates, and least-privilege scoping for agent credentials. - Wire in the data. Connect security's knowledge — runbooks, detection logic, past incidents, asset inventory, policy documents — to AI systems through well-governed retrieval pipelines with correct access controls and data classification enforcement. - Make it measurable. Build the evaluation harness, regression suites, and observability that tell us whether an AI system is working: output quality, latency, cost, hallucination rate, and drift over time. Nothing ships to production without a baseline. - Secure the stack itself. Implement guardrails against prompt injection, data exfiltration through model outputs, insecure tool use, and supply-chain risk in models and AI dependencies. Red-team the platform and the applications built on it. - Set the standards. Own the reference architecture, golden paths, and internal documentation so that a security engineer can go from idea to reviewed prototype in days rather than months. Drive AI Adoption Across the Security Organization - Find the real use cases. Work directly with detection engineering, IR, threat intel, vulnerability management, GRC, and security operations to identify where AI meaningfully reduces toil or improves quality — and where it does not. Kill weak ideas early. - Build the flagship applications. Deliver a small number of high-visibility wins yourself. Nothing drives adoption like a working tool that saves an analyst two hours a day. - Teach the organization. Run enablement programs — office hours, workshops, internal documentation, prompt and agent design patterns, brown-bags — that raise the AI fluency of the entire security organization, not just the engineers. - Measure adoption honestly. Define and report the metrics that show whether adoption is real: active users, workflows automated, analyst hours returned, time-to-detect and time-to-respond improvements, quality deltas against human baselines. - Establish governance that enables. Partner with Legal, Privacy, and Compliance to establish the acceptable-use policy, review process, and risk framework for AI in security workflows — designed to unblock teams rather than stall them. - Stay ahead of the field. Maintain the organization's point of view on where AI capability is heading and what it means for our security roadmap, staffing, and threat model. Evaluate vendors and open models on the merits. Requirements: - 8+ years in security engineering, platform engineering, or a closely related technical field, including significant hands-on software development. - Demonstrated experience building and operating production systems with large language models — not prototypes or demos. You have shipped something real, dealt with its failure modes, and iterated on it. - Strong software engineering fundamentals and fluency in Python (or an equivalent language), including API design, distributed systems, and cloud infrastructure (AWS, GCP, or Azure). - Deep understanding of security engineering: identity and access management, secrets management, network boundaries, logging and detection, and secure software development practices. - Working knowledge of AI-specific risk — prompt injection, jailbreaks, data leakage through model outputs, insecure agent tool use, model and dependency supply chain — and practical mitigations for each. - A track record of driving technical change across an organization through influence rather than authority: building consensus, teaching, and shipping things people voluntarily adopt. - Clear written and verbal communication. You can explain a system design to an engineer and the business case for it to an executive, in the same week. - Sound judgment about where AI is genuinely useful and where it is not. We want an advocate who is also a skeptic. Preferred Qualifications: - Experience with agent frameworks, orchestration, and the Model Context Protocol (MCP) or comparable tool-use standards. - Experience building evaluation frameworks or LLM observability tooling. - Background in security operations, detection engineering, or incident response — you have felt the toil firsthand. - Experience with retrieval systems, embeddings, vector databases, and knowledge pipeline design. - Familiarity with AI governance and assurance frameworks such as the NIST AI Risk Management Framework, ISO/IEC 42001, or the OWASP Top 10 for LLM Applications. - Experience fine-tuning or evaluating open-weight models for domain-specific tasks. - Prior experience as a first or founding hire on a platform or capability that later scaled organization-wide. What Success Looks Like First 90 Days - You have mapped the current state — what security teams are already doing with AI, sanctioned or not — and published a prioritized assessment of gaps, risks, and opportunities. - A minimum viable AI platform is running: gateway, authentication, logging, and cost attribution, with at least one security team building on it. - An acceptable-use policy and lightweight review process for AI in security workflows is drafted and socialized. First 6 Months - Two or more production AI applications are in daily use by security teams, with measured impact. - The evaluation and observability layer is in place; no AI system reaches production without a quality baseline and monitoring. - Enablement is operating on a regular cadence, and engineers outside your immediate orbit are shipping their own AI-assisted workflows on the golden paths you built. First Year - AI is a normal part of how the security organization works, with adoption and impact reported through metrics leadership trusts. - The platform supports agentic workflows safely, with guardrails that have been tested adversarially. - The role has clearly outgrown one person, and you have made the case for what the team around it should look like. Why This Role Security organizations are drowning in work that AI is genuinely good at, and most of them are still stuck at the pilot stage because nobody owns both halves of the problem — the infrastructure and the adoption. This role owns both. You will have executive sponsorship, real budget, and the latitude to set technical direction from a blank page. If you want to define how an entire security organization works with AI rather than tune someone else's system, this is that job. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site. If this role has a commission structure, the compensation range below just reflects the base compensation range. Wage Transparency: $180,000 - $225,000 USD Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401(k), unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!
Public Sector Lead, Central Government
The UK is making a wholesale shift to AI. The government's AI Opportunities Action Plan set out to "mainline AI into the veins" of the country, and the focus has now moved to delivery: the Incubator for AI ( i.AI ) is shipping tools like the Humphrey suite into departments, a Sovereign AI Unit and AI Growth Zones are being stood up, and civilian departments are under real pressure to move from pilots to production. Scale can play a foundational role in building the reliable AI applications that shift depends on. We're looking for someone to lead that work in central government. This isn’t about staying in the office and managing a team of sales people, its about building the business from the front. You'd own our commercial relationships across civilian departments, starting where the near-term pipeline is strongest: HMRC, DWP, and NHS. This is a critical role reporting directly to the new Public Sector leader. You'd carry a number, win deals yourself, and build a small team behind you as the work grows. It suits someone who has sold into these departments before and knows how they actually make decisions, not just how the org charts look. What you'll do - Own our commercial plan and pipeline for UK civilian central government - Find, shape, and close deals yourself, from the first conversation through to contract and into delivery - Use the relationships you already have across departments like HMRC, DWP, and NHS - Work the frameworks, tenders and teaming, and know which route to market is worth the effort and which isn't. - Be a credible counterpart to senior civil servants, and turn what they need into work we can deliver - Stay close to our product and delivery teams so what we sell is what we build - Hire and lead a small team over time, and help shape the wider UK public sector plan with the UK Public Sector Lead What we're looking for - You've sold and delivered technology or transformation work to UK civilian central government, either from a vendor or from inside government - You know at least one major department well (e.g. HMRC, DWP, or NHS) and how it buys - You understand public sector procurement: frameworks, tenders, and buying that runs through a lot of stakeholders - You've opened doors, run complex pursuits, and owned the result - You have relationships with senior people across departments - You do your best work when things are ambiguous and moving quickly People who tend to fit this have spent years leading UK public sector work at companies like Palantir, Google, AWS, Microsoft or Oracle, at consultancies and systems integrators like Accenture, Deloitte, EY, Bain or McKinsey, or in senior commercial or programme roles inside the departments themselves. Nice to have - Experience with AI or data-heavy platforms - Regulated, mission-critical government programmes - You've built or run a small go to market team before Why join You'd be building this market, not maintaining it. There's no playbook to inherit, which is rather the point. The deals you win, and the way you win them, will shape how Scale works with UK government for years. 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.
IT Support Engineer
Scale is looking to grow our IT team! We are looking for someone who is excited by the opportunity to be part of a fast-paced environment that pushes you to learn while doing. This role needs to be great with people and strongly focused on learning and executing. Ideally you have been the sole IT person at a startup before and are excited to be an early member of the team here at Scale. You focus on patterns and don't like doing the same thing twice. Your goal in this position is making people happy while creating simple and repeatable solutions for all! You will: Onboarding - Own the end-to-end new hire experience: coordinate with People Ops ahead of start dates, provision laptops and peripherals, and ensure every new hire is productive on day one. - Create accounts and assign role-based access across our identity and SaaS stack (Okta, Google Workspace, Slack, Jira/Confluence, Zoom, Microsoft Entra ID/M365). - Enroll and configure devices (Mac and Windows) in MDM with required security baselines before handoff. - Lead new hire IT orientations, covering security expectations, core tools, and how to get help. Offboarding - Execute timely, security-critical offboarding: suspend accounts, revoke access and sessions, and reclaim licenses on the employee's last day. - Recover, wipe, and re-inventory hardware; coordinate remote returns for distributed employees on the last day. - Maintain auditable onboarding/offboarding checklists to support security and compliance reviews (e.g., SOC 2 access controls). Ticket Queue & Support - Own the day-to-day IT ticket queue in Jira Service Management: triage, prioritize, and resolve or dispatch every incoming request. - Meet first-response and resolution SLAs; keep requesters informed and tickets updated until closure. - Escalate appropriately with clear context and reproduction steps. - Analyze ticket trends to find recurring issues, then eliminate them through documentation, self-service, or automation. - Build and maintain knowledge base articles for both end users and the IT team. General - Provide help desk support to all Scale employees across hardware, software, AV, and access issues. - Maintain and support office technology (printers, Zoom Rooms, room schedulers, and more). - Own IT asset management with accurate, actionable records of all equipment through its lifecycle. - Administer and integrate cloud services (Google Workspace, Microsoft Entra ID/M365, Slack, Okta, Jira, Confluence, Zoom, and more). - Promote IT best practices and constantly ask: "How can I make things better?" - Be in-office 100% of the time. Ideally you'll have: - 3+ years of corporate IT experience, including hands-on onboarding/offboarding ownership at scale. - Deep understanding of computer fundamentals and troubleshooting: hardware and software (Mac, Windows) and cloud technologies (Google Workspace, Slack, Zoom, Okta, Microsoft Entra ID/M365). - Experience running a ticket queue in Jira Service Management or a similar ITSM tool, with a track record of meeting SLAs. - Familiarity with identity/access management (Okta SSO, SCIM provisioning) and MDM for Mac and Windows fleets. - A positive attitude and excitement for building new processes and policies for a rapidly growing organization. - Experience supporting remote teams and multiple global offices using tools like Slack and Zoom. - A security- and compliance-focused mindset. Our stack Okta (identity/SSO), Google Workspace (Gmail, Calendar, Drive, Docs), Slack, Jira & Jira Service Management, Confluence, Zoom, Microsoft Entra ID/M365, Chrome, plus MDM for Mac and Windows fleets. 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.
Scientist, Assay Development (Contractor)
Your work will change lives. Including your own. The Impact You'll Make - Contribute directly to Recursion's mission of revolutionizing drug discovery through our automation- and AI-powered platform. - Develop, optimize, and validate cell-based and biochemical assays for deployment on our automated high-throughput screening platforms, enabling the construction of Recursion's Maps of Biology across diverse and often challenging human cell types. - Execute assay workflows at scale, monitoring performance against defined quality metrics and flagging deviations early. - Analyze experimental data rigorously to validate processes, troubleshoot systems, and drive improvement, sharing findings and collaborating with a cross-disciplinary team to refine approach and direction. - Document methods, results, and protocols to a standard that allows workflows to be transferred and run reliably by others. - Conduct impactful work in a matrixed environment where your insights and ideas are valued and expected. The Team You'll Join You will join a cross-functional assay development team working to redefine preclinical drug discovery. The environment thrives on collaboration, open communication, and teamwork across multiple departments. You will work closely with biologists, assay development associates, data scientists, software engineers, automation engineers, and our supply chain team. The team's key output is robust, transferable assays for deployment on a high-throughput screening platform that integrates industry-leading automation to generate petabytes of high-dimensional data from human cells. Strong communication skills are essential to our success, as much of our coordination and reporting happens electronically. We value independent thought, self-reflection, and a growth mindset, with a shared goal of continuous improvement. We also believe the best ideas come from diverse perspectives, so if you have suggestions to improve the way we work, we welcome them. The Experience You'll Need - B.S. or M.Sc. in Biology, Biochemistry, Cell Biology, or a related field with 3+ years of relevant industry or equivalent laboratory experience. - Hands-on experience developing and optimizing cell-based or biochemical assays, including mammalian cell culture and aseptic technique. - Working knowledge of core molecular and cell biology techniques, such as transfection, nucleic acid and protein handling, and plate-based readouts. - Experience with automated, computer-controlled laboratory instrumentation such as liquid handlers, plate readers, and imagers, in 384 and 1536-well formats. - Demonstrated ability to move experimental work forward independently and efficiently with general direction rather than step-by-step instruction. - Demonstrated ability to adapt and quickly learn new techniques and instrumentation. - Careful, consistent documentation of protocols and results in an electronic lab notebook or equivalent. - A passion for working in a fast-paced environment where you'll apply creativity and independent thinking to assay development for early-stage drug discovery. Nice to Have - Familiarity with assay qualification concepts and statistical quality metrics, such as Z', signal-to-background, CV, and dose-response fitting. - Comfort with computational tools for data analysis in Python, R, or equivalent. - Experience with genetic perturbation approaches such as CRISPR or RNAi, or with omics readouts such as transcriptomics or proteomics. - Experience working with primary or iPSC-derived cell models. This is a 9-month contractor role with working hours from 9:00am to 5:00pm, Monday through Friday 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.
Strategy and Operations, OpenAI for Government
About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise in custom configurations) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. As part of the OpenAI for Government team you will work across governments and public institutions, helping to accelerate adoption through hands-on support, tailored training, and early insights—so civil servants can spend less time on red tape and more on meaningful work. If you're passionate about responsibly deploying frontier AI to uplift public institutions and transform how the government serves the American people, we want you on our team. About the Role We are looking for an experienced strategy and business operations professional to help OpenAI for Government decide where to grow and how to build the capabilities needed to serve government customers. You will shepherd ambiguous, complex work from problem definition through execution. The majority of the role will focus on business strategy and operations, from market and revenue planning to workforce, financial, and secure facility initiatives. You should be skilled at both developing a compelling recommendation and doing the detailed work to make it happen. This role has four key buckets of responsibilities: - First, you will support the growth and maturation of a business operations and revenue strategy function within the OpenAI for Government. You will help OpenAI for Government four vertical leaders develop annual business strategies that define target customers, priority projects, partners, and support needed from other matrixed teams including Technical Success, Engineering, Capture and Proposal, Global Affairs, and Product Policy. - You will build and maintain the intelligence picture for our key territories: mission priorities, budget lines and program timelines, incumbents and competitive positions, and the people who actually shape awards. - You will act as a thought partner to the business verticals by participating in weekly team discussions to understand the business, test assumptions, and identify risks. You will run quarterly reviews to track progress, reassess goals, and adjust priorities. - Second, you will partner with OpenAI’s industrial security team to forecast secure-space needs, plan SCIF buildouts, coordinate personnel access nominations, and track contract-specific security requirements and restrictions. - Third, you will support OpenAI’s Government Innovation Network, OpenAI for Government’s advisory board, throughout the entire lifecycle of the program, including advisor outreach and selection, independent-contractor agreements (1099s), conflict reviews, payment, and high-touch onboarding. - In partnership with OpenAI for Government’s leadership team, you will help design and run regular advisor meetings, quarterly strategy sessions, and targeted convenings, with clear agendas, materials, and decisions. You will execute follow-through, and ensure advisor insights are integrated into OpenAI for Government’s strategy. - Finally, you will own and drive special projects that do not yet have a clear home. You will define the problem, develop options, build consensus, and lead early execution. You’ll thrive in this role if you: - Have experience in strategy consulting, business operations, a growing technology company, or comparable work combining analytical problem-solving with ownership of execution. - Can build financial models, size markets, assess competitive positions, and translate incomplete data into recommendations with clear assumptions and tradeoffs. Are comfortable interpreting government budgets and using market intelligence sources such as Janes to inform long-term investment decisions. - Create compelling executive presentations and write concise memos that connect the numbers, strategic choices, and recommended actions. - Can define an unfamiliar problem before solving it, learn new technologies and markets quickly, and make progress without a fully formed brief. - Enjoy a broad remit and move comfortably between strategic analysis, business operations, and detailed project delivery. - Build trust with executives, government stakeholders, advisors, and technical specialists, and influence across functions without formal authority. - Bring strong judgment and discretion to sensitive relationships, personnel matters, compensation, and security-related work. - Are comfortable managing budgets, vendors, contractors, and competing deadlines, and take responsibility for carrying work through to completion. - Are curious about government missions, procurement, policy, and funding. Direct public-sector, defense, or national-security experience is valuable, alongside strong business and analytical skills. - Are willing to travel periodically for advisor convenings, agency or customer engagements, and operational projects. - Care deeply about the mission and want to help build a durable government business grounded in the responsible deployment of frontier AI. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Intelligence Systems - Technical Staff
About the Team The Intelligence & Investigations team works to rapidly detect, understand, and disrupt abuse involving AI technologies to ensure they are used safely and responsibly. We identify emerging abuse trends, analyze risks, and partner across OpenAI to develop mitigation strategies that strengthen product safety and support high-stakes decision-making. Our work contributes directly to OpenAI’s mission of ensuring AI benefits all of humanity. About the Role We are seeking a technical builder and operator to help extend Intelligence & Investigations capabilities into external-facing environments. This role sits at the intersection of technical development, productization, partner engagement, and operational delivery. You will help translate internal intelligence and investigative capabilities into durable external solutions that can be deployed in real-world settings. This includes shaping early product concepts, building and adapting technical workflows, and working closely with both internal teams and external stakeholders to ensure what we develop is practical, scalable, and grounded in real operational needs. The right person for this role is highly technical, but not limited to a narrow engineering lane. They can prototype and build, work directly with users, understand operational problems, and help turn emerging concepts into practical capabilities. They are comfortable moving between product thinking, technical implementation, external engagement, and cross-functional coordination. They are also motivated by the responsible use of AI in high-stakes environments and eager to help bring advanced technical capabilities to partners who need them. This role is based in San Francisco, CA; Washington D.C.; or New York, NY. We offer a hybrid work model (3 days per week in office), remote flexibility where appropriate, and relocation assistance for new employees. In this role, you will: - Define and shape external intelligence and investigative capabilities for mission-oriented partners - Prototype and build technical workflows that process large-scale data to identify risks and support decision-making - Translate internal tools and capabilities into deployable external solutions and offerings - Deploy and operationalize solutions in real-world environments, driving adoption and measurable impact - Serve as a primary interface between Intelligence & Investigations, OAI internal teams, and external stakeholders - Communicate technical concepts and tradeoffs clearly to build trust and enable informed partner decisions - Identify and scale repeatable solutions from bespoke partner needs into durable capabilities - Design user-facing workflows and interfaces for non-technical or mixed-technical users You might thrive in this role if you have / are: - Strong technical fluency with a track record of building or deploying data-intensive systems or workflows - Experience operating at the intersection of technical development and real users , including product shaping or partner-facing work - Ability to navigate ambiguity and execute , moving from early-stage concepts to production-ready solutions - Skill in translating complex technical capabilities into practical, usable tools or services - Strong product judgment , including identifying what should scale vs. remain bespoke - Clear and effective communicator across both technical teams and external stakeholders - Experience in relevant domains such as intelligence, security, trust & safety, data analysis, or public sector technology - Proficiency with modern technical tooling , including data analysis (e.g., SQL, Python) and AI-enabled workflows - Proven cross-functional operator , able to drive alignment and execution across teams - Commitment to the responsible use of AI and applying technology to meaningful real-world problems 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 Account Executive - Technology
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Senior Account Executive - Technology Why this role? In this role, you will have ownership of the full sales cycle - from identifying leads to closing deals with Global 2000, large enterprises within the Technology sector. We're looking for an approachable and compelling communicator who loves working with prospects to uncover their needs and feels comfortable developing tailored value propositions around how Cohere's platform can help them achieve their business goals. You'll lay the foundation for Cohere's growth by owning your territory and collaborating with teammates across customer success, sales development, marketing, and solution architecture. You'll be the voice of the field and help our product and engineering teams prioritize the Cohere roadmap with customer-centric care. It's a highly self-directed role, so you should be someone who thrives in an unstructured and quickly evolving environment. And your opportunity for impact will be astronomical — Cohere has skies-the-limit potential, and you'll help us reach it. As an Account Executive focused on the Technology sector you will: - Focus on net-new logo acquisition via outbound activity and relationship building with key stakeholders while also bringing a strong network of key decision-maker and influencer contacts and relationships in the vertical to accelerate engagements, drive strategic partnerships and win sales opportunities - Work closely with customers and prospects as a consultative, trusted advisor who deeply understands their challenges and goals, their technology ecosystem, and will tailor solutions to drive measurable impact for their businesses - Work in close partnership with channel partners to find opportunities to scale outreach and customer satisfaction in your region - Collaborate with product and engineering teams as well as customer success on strategic motions to deliver solutions to large enterprise customers - Collaborate with Sales Development Representatives to drive top of funnel activity - Own the full sales cycle – from initial outreach through proof-of-concept, deal close, and deployment; this is not a transactional sale that you can walk away from after the contract is signed but rather requires ongoing oversight of the project to ensure success You may be a good fit if you have: - 8-12+ years of previous B2B sales experience with Global 2000, large enterprises in the Technology sector, negotiating and closing transformational multi-year (2-5 year) SaaS deals in the 7 figure range, and a track record of high performance and exceeding quota - Previous experience as a technical consultative salesperson, selling complex products, such as developer tools, API products, or AI / NLP solutions, are a plus, with a focus on applications in the Financial Services sector - Previous experience working with customers during the deployment phase of the engagement, aligning on how best to configure and customize the solution that supports success in production and builds trust to set up for expansion and growth - Previous experience working with channel partners such as cloud hyperscalers and system integrators to drive sales cycles and hit shared revenue goals - High tolerance for ambiguity - as an early sales hire, you'll have to be a self-starter, doer and a strategist who is capable of wearing many hats and doing what it takes to figure out a path to success - Curiosity - you want to go deep on NLP and become an expert on our technology while considering how to fit into a large organization's technology landscape with a focus on its applications in the Financial Services sectors - Fantastic communication skills - you are a great listener, have a knack for understanding what matters most to others, build strong relationships, can speak to the c-suite, and feel comfortable speaking to both technical and non-technical audiences in the Financial Services sector Additional Requirements: - Deep understanding of the Technology industry, including key trends, challenges, and opportunities - Ability to articulate the value of AI and NLP solutions in the context of Financial Services operations. Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.
Software Engineer, Life Sciences
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. We’re building platforms that connect model intelligence with practical scientific workflows. Our work covers workflows from next-gen sequencing analysis to designing new drugs, helping scientists run computational workloads as well as access laboratory services. By making these capabilities more accessible and useful, we aim to improve early discovery and support downstream progress in drug development. About the role We’re looking for experienced full-stack product engineers with strong backend skills to join our growing Life Sciences team. This is an individual contributor role with substantial ownership. You’ll help define products, design systems, and ship experiences that connect scientists with AI capabilities and laboratory workflows. You’ll work across the stack, partnering with researchers, scientists, and infrastructure engineers to turn complex needs into reliable, intuitive products. We value strong engineering fundamentals, product judgment, and experience shipping to large user bases. Life sciences experience is helpful, but you don’t need a scientific background to make a meaningful contribution. In this role, you will - Design backend services, APIs, and integrations that connect users with models, scientific tools, and laboratory services. - Create intuitive interfaces that help scientists navigate complex workflows. - Own projects from problem definition and technical design through launch, operation, and iteration. - Work with scientific and research partners to identify user needs and prioritize valuable product improvements. - Partner with dedicated infrastructure engineers on performance, reliability, and scaling. - Make thoughtful engineering decisions that balance speed, quality, and long-term maintainability. You might thrive in this role if you - Have strong software engineering fundamentals and depth in backend development, alongside the ability to build across the stack. - Have shipped and operated products used by large user bases. - Bring strong product sense and can translate ambiguous needs into useful software. - Work autonomously, make sound technical decisions, and drive projects forward with limited direction. - Enjoy hands-on building and taking ownership within a lean team. - Are excited about advances in AI and how they could change scientific work. - Learn unfamiliar domains quickly and collaborate effectively with scientific and technical partners. Particularly relevant experience - Building AI applications, model-serving integrations, or inference platforms. - Developing marketplaces or products that coordinate services and complex workflows. - Taking new products from early concepts through launch and adoption. - Working with scientific tools, research data, or laboratory systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Product Manager, Financial Services
About the Team OpenAI is building AI products for serious professional work. We’re going deep on finance with a committed team focused on unlocking the potential of AI in this vertical: working closely with industry experts and users to build bespoke solutions that help finance professionals do real work. OpenAI’s Financial Services team works closely with customers to understand where AI can improve the economics and quality of financial work: faster diligence, broader research coverage, sharper client materials, more accurate models, and better investment analysis. Our work spans workflows across investment banking, equity research, private equity, asset management, wealth management, insurance, and other parts of finance. We bring together OpenAI’s models, financial data, and enterprise knowledge to build products that fit how financial professionals work. About the Role We’re looking for a Product Manager to help define and build OpenAI’s financial services products. Reporting to the GM of Financial Services, you will own product strategy, roadmap, and execution for key experiences, taking them from customer discovery and early prototypes through launch, adoption, and iteration. This is a hands-on role. You will spend time with bankers, investors, analysts, and other finance professionals; build and test early product experiences; and work closely with Engineering, Design, Research, and customer-facing teams to ship. You should have strong judgment about both the product experience and the work it produces. You will also form a vision for how AI can change the financial services space and can translate that into product execution. In this role, you will: - Own product strategy and priorities. Work with the GM to identify the most valuable customer problems and translate them into a clear roadmap. Make decisions about what to build, what to defer, and where partners or shared OpenAI capabilities can best meet the need. - Go deep on financial workflows. Sit with customers, observe how they work, and understand the documents they create, data they trust, tools they use, and standards they apply. Use those insights to design experiences that customers return to in their daily work. - Build and ship. Create working prototypes, demos, example outputs, and product requirements using Codex and other OpenAI tools. Partner with Engineering and Design to turn early concepts into reliable products, resolve dependencies, and drive delivery through launch and iteration. - Raise the bar for quality and trust. Work with Research and Engineering to turn real finance tasks and product failures into evaluations, datasets, and model feedback. Define what good looks like across accuracy, source traceability, completeness, and ease of review, while making practical tradeoffs across quality, latency, reliability, and cost. - Make products work inside financial institutions. Translate integration, data-access, privacy, security, and review requirements into product decisions. Work across Legal, Security, Partnerships, and core product teams to address deployment barriers and determine which needs require finance-specific solutions. - Measure results and drive adoption. Define success through task completion, output acceptance, repeat usage, time saved, and business impact. Combine product data, evaluations, and customer feedback to guide investment. Partner with GTM and customer-facing teams on pilots, onboarding, and launches, then use what you learn to improve the product. You might thrive in this role if you: - Have a track record of taking complex products from discovery through launch and sustained adoption, as a product manager, founder, or builder with substantial product ownership. - Understand financial work well enough to earn credibility with demanding practitioners. You may have built products for financial institutions or worked directly in investment banking, investing, equity research, corporate development, or related fields. - Combine strong product taste with attention to detail. You care about making complex workflows feel simple and can judge both the experience and the quality of its outputs. - Work comfortably with engineers and researchers on model behavior, data quality, integrations, and evaluations. You can distinguish a model limitation from a data, workflow, or product-design problem. - Use AI deeply in your own work and build prototypes to test ideas. You are willing to teach, onboard, debug, and inspect outputs alongside customers. - Know how to choose useful goals and metrics, test assumptions, and change priorities when the evidence changes. - Bring sound judgment about privacy, trust, and accuracy in consequential professional work. - Take ownership in ambiguous situations, drive decisions across teams you do not manage, and communicate clearly. You can set direction and stay close to the details required to ship. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Shop/Feed Ads
About the team The Monetization team is a new cross-functional group spanning engineering, product, research, and design. We are building the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to create user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen trust, expand economic opportunity, and support OpenAI’s long-term innovation. We believe monetization should deliver clear user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem for developers and businesses. The team operates in a greenfield environment, moving quickly through prototyping, experimentation, and iterative deployment. We partner closely across Product, Design, and Research to bring new capabilities into real-world systems at global scale. About the role We’re looking for an experienced Software Engineer to lead the design and development of the systems that turn advertiser feeds (eg. retail feeds, travel feeds etc.) into relevant, reliably delivered ads. In this foundational role, you will build across the full ads lifecycle—from ingesting and organizing retailer or travel catalogs into efficient retrieval systems, supporting ranking models, and serving ads at scale. This role is well suited to an engineer with direct experience in product ads retrieval, ranking, and delivery, along with a strong understanding of merchant feeds and shopping systems such as Google Shopping, YouTube product ads, or Amazon. We also welcome engineers with Senior Staff-level or greater scope who have deep ownership of large-scale catalogs, search and indexing, ads serving, or closely related distributed systems. You will independently own complex systems, make sound technical tradeoffs, and help define the architecture and roadmap for Shopping/Travel/Feed Ads. You will collaborate closely with Ads ML, Ads Delivery, Product, Design, and Research to connect accurate, fresh advertiser feed information with useful ads experiences in ChatGPT. This role is based in San Francisco and Mountain View. We offer relocation assistance to new employees. In this role, you will - Design and build pipelines that ingest, validate, normalize, and refresh merchant product feeds, keeping catalog information accurate and available for serving. - Develop scalable catalog storage and indexing systems that make large inventories searchable and reflect changes in product availability, pricing, and attributes. - Build search and retrieval systems that efficiently identify relevant, eligible products across merchant catalogs. - Partner with Ads ML to connect product retrieval with ranking models through dependable interfaces, features, and serving infrastructure. - Engineer low-latency, high-throughput ads delivery systems with strong reliability and correctness guarantees. - Design real-time event pipelines and distributed storage that support catalog freshness, serving decisions, and downstream feedback. - Build observability and quality controls to detect feed errors, stale inventory, indexing delays, and serving issues. - Define technical direction and drive complex projects from early prototypes through production deployment and operation. - Operate systems with high engineering rigor through testing, monitoring, privacy and security reviews, and strong operational practices. You might thrive in this role if you - Have extensive experience building and operating large-scale distributed systems, with direct ownership of product ads retrieval, ranking infrastructure, or delivery. - Understand merchant feeds and shopping systems, including how catalog quality, product availability, and freshness affect relevance and ads performance. - Have built systems for shopping or product ads at platforms such as Google Shopping, YouTube, Amazon, or a comparable environment. - Alternatively, have operated at Senior Staff-level scope or above, leading the architecture and delivery of large-scale catalogs, search and indexing platforms, ads serving, or related backend systems. - Have built low-latency, high-throughput services and data pipelines with demanding reliability and correctness requirements. - Can reason across ingestion, storage, indexing, retrieval, ranking, and serving, and make thoughtful tradeoffs between freshness, relevance, latency, and cost. - Are comfortable partnering with machine-learning teams to bring ranking models and signals into dependable production systems. - Can define technical direction in an ambiguous 0→1 environment and independently drive complex work across teams. - Communicate clearly and make technical decisions grounded in user value, merchant experience, and long-term system health. 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.
ITAV Deployment Engineer
About the Team OpenAI’s IT organization supports the mission of deploying artificial general intelligence (AGI) for the benefit of all. Our team is committed to providing seamless technological support and solutions to ensure that all OpenAI employees are well-equipped and connected. This enables them to contribute effectively towards our AI research, corporate operations and product initiatives. About the Role As an ITAV Deployment Engineer at OpenAI, you will deliver the audiovisual systems for new offices, expansions, and refresh projects. You will turn approved designs into installed, configured, and tested systems, coordinate integrators and site dependencies, and carry defects through verified closeout. Your coordination begins at project inception and continues through delivery, commissioning, and acceptance by the receiving support team. You will partner with ITAV Engineering on design decisions, Network Engineering on connectivity, and Workplace and Capital Builds on site readiness and delivery timing. In this role, you will: - Deliver assigned AV build packages for new offices, expansions, and refreshes using approved designs, room standards, and installation requirements. - Coordinate the ITAV workstream for office construction projects from inception through delivery, partnering with Capital Builds, Network Security, and Workplace Design and Construction to align requirements, schedules, dependencies, and handoffs. - Review drawings, equipment lists, site conditions, and integrator plans; identify missing prerequisites and raise design exceptions before installation. - Coordinate equipment staging, installation sequencing, vendor deliverables, and site access with integrators, Workplace, Capital Builds, and ITAV program partners. - Configure conferencing endpoints, Q-SYS controls and audio processing, and AV-over-IP connections to match the approved design. - Prepare accurate device and port records and coordinate IP addressing, DNS, DHCP, VLAN, and connectivity requirements with Network Engineering. - Commission rooms end to end, testing audio, video, control, conferencing, content sharing, monitoring, and recovery against documented acceptance criteria. - Diagnose installation and integration failures, maintain a prioritized punch list, and retest fixes before accepting completed work. - Deliver configuration backups, as-built markups, inventory, test evidence, and support instructions; train receiving technicians and secure operational handoff. - Identify repeatable deployment work and automate it using AI, agentic workflows, and basic scripting. Maintain reusable checks and templates, validate results, and obtain engineering review for changes to shared standards. You might thrive in this role if you have: - Hands-on experience installing, configuring, and commissioning enterprise conference room AV systems from technical designs. - Experience reading AV signal-flow drawings, equipment schedules, and installation plans, and recording accurate as-built changes. - Practical experience configuring conferencing hardware and platforms such as Logitech, Cisco, Google Meet, Zoom, or Microsoft Teams. - Experience configuring and troubleshooting Q-SYS audio and control systems, including signal routing and reusable configuration components. - Working knowledge of AV-over-IP technologies such as Q-LAN, Dante, and NDI and the ability to isolate signal, configuration, and transport faults. - Practical networking knowledge covering IP addressing, VLANs, DNS, DHCP, and multicast, with sound judgment about when to involve Network Engineering. - Experience coordinating integrator work, site prerequisites, equipment readiness, defects, and commissioning milestones within an assigned project. - Experience working cross-functionally with Workplace Design and Construction partners to deliver new office construction projects. - Ability to verify the complete meeting experience, document technical acceptance, and prepare usable configuration records and support handoffs. - Clear communication and demonstrated ability to build, test, and maintain AI and agentic workflows using scripting or configuration tools to automate repeatable deployment work. - Experience contributing reusable Q-SYS components or shared deployment tooling is a plus. - Experience delivering office AV across multiple locations or working with room scheduling and signage endpoints is a plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Analytics Engineer
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced Analytics Engineer to join our Data team as one of its first hires. You will own the transformation layer between raw data and business decisions: modelling our data in dbt, defining the certified metrics the company runs on, and setting the standards that every analyst and data scientist at ElevenLabs builds. - Drive the implementation of a world-class metric layer for the company: modelling conventions, project structure, testing, CI, and documentation. - Design and maintain the certified KPI layer for product (activation, adoption, retention, usage), finance (billing, ARR, revenue), and company-wide topics, built to withstand audit scrutiny. - Partner with Data Engineering on evolving the data warehouse architecture, and with stakeholders to turn ambiguous questions into trusted, reusable data products, including data served through AI agents. Requirements Demonstrated experience building and scaling a dbt project and metrics layer, ideally as one of the first analytics engineers on a growing team. - Expert knowledge of dbt and advanced SQL (required); strong grasp of dimensional modelling, grain, and incremental patterns. - Proficiency across the modern data stack (BigQuery or similar warehouse, Python, BI tools such as Looker). - Rigour around data quality: you test, document, and reconcile by default, and you spot a model that runs cleanly but is quietly wrong. - Strong ability to understand varied stakeholder requirements, push back where needed, and translate them into generalised, well-documented models. - Bonus: - Experience modelling billing, subscription and ARR data (Stripe, Salesforce) or product event data at scale. - Experience serving data to LLM-based agents or building semantic / metrics layers consumed by AI tools. - Experience with CI for data (Slim CI, data contracts, PII policy tags) and infrastructure-as-code for warehouse access. Location This role is remote-first, so it can be executed from anywhere in Europe or the US East Coast, with the ability to operate in CET / ET timezones required. If you prefer, you can work from our offices in London, Warsaw, Dublin or New York. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Onboarding Program Manager
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 New hires join Anthropic every week; their first days here shape how they understand our mission and culture, and help to accelerate their time to productivity. We're looking for a Program Manager to own the live delivery of our new hire onboarding program, so that every cohort, whatever its size or timing, gets an experience that is well run, welcoming, and grounded in what makes Anthropic distinctive. You'll own our San Francisco onboarding program end to end: facilitating sessions, overseeing the operating rhythm behind each cohort, and orchestrating across Recruiting, People Services, Workplace, IT, and the many presenters who bring the program to life. You'll work within our overall onboarding strategy and program design, and your job is to deliver our live onboarding program reliably, week after week, while spotting where the experience can get better and feeding those insights into how the program evolves. This role suits someone who loves the craft of running a great program: the preparation, the moments in the room, and the systems that make it all repeatable at scale. You'll do well here if you stay calm when plans change, care deeply about the details that shape a first impression, and bring warmth and clarity to a room of people on their first day. This role requires being in the office at least two days a week – on all programming days and as needed otherwise. Key responsibilities - Own weekly program delivery: Run each onboarding cohort from pre-arrival readiness through program close, so every cohort gets a consistent, high-quality experience - Facilitate live sessions: Serve as the primary facilitator and host for every cohort, setting the tone for new hires and keeping the program on time and on message - Support presenters and facilitators: Brief and prepare the speakers, panelists, and backup facilitators who deliver program content, so sessions land well regardless of who is in the room; deliver feedback as needed and support content iteration - Oversee cross-functional execution: Partner closely with the NHO coordinator to coordinate across Recruiting, People Services, Workplace, IT, and AV, so that start dates, device readiness, rooms, catering, and communications come together each week - Set the weekly operating rhythm: Prioritize and sequence program logistics and coordination work each week, making sure nothing falls through the cracks - Support improvements to the program's operating system: Partner closely with the NHO coordinator to improve run-of-show documents, checklists, playbooks, and automations that make the program repeatable, reduce single points of failure, and flex with variable cohort sizes - Track program health: Monitor operational and experience metrics via new hire feedback, surface trends and friction points, and bring recommendations that inform program design and priorities - Drive content improvement: Based on new hire feedback and company needs, work with facilitators and the broader onboarding team to iterate on and improve program content over time - Plan ahead for what could change: Anticipate cohort size swings, holidays, space constraints, and last-minute changes, with contingency plans ready before they're needed Minimum qualifications - Interest in Anthropic's mission and in helping new hires connect their work to it - Extensive experience owning the end-to-end delivery of a recurring program, event series, or training program with many stakeholders - Advanced experience facilitating or presenting to large groups, in person and virtually - Strong project management skills, including building and running timelines, trackers, and checklists in Google Workspace (Docs, Sheets, Calendar) or similar tools - Working proficiency with Slack and Google Workspace - Exceptional written and verbal communication, including communications for audiences ranging from new hires to senior leaders - Demonstrated ability to coordinate across teams without formal authority to meet fixed, recurring deadlines Preferred qualifications - Experience running onboarding, orientation, or learning and development programs in a fast-growing organization - Experience scaling a program's cadence or volume, such as moving from biweekly to weekly delivery, while maintaining quality - Experience building workflows or automations with AI tools like Claude to reduce manual work - Familiarity with program measurement, including survey tools (such as Qualtrics), feedback analysis, and reporting on program metrics - Experience managing a bench or rotation of presenters, facilitators, or volunteer contributors 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: $240,000 - $240,000 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.
Manager, Product Program Management
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. We are seeking an experienced Operations Manager to lead Product Program Management, the central program management function in Anthropic's Product organization. This team turns the company's hardest cross-functional obligations into programs that run: it stands up the strategic programs Anthropic needs to unblock growth, then runs the scaled operations behind them so partner teams can focus on building and selling Claude. You'll lead managers and program managers across Commercialization Operations, Community and Executive Escalations Operations, and Marketplace Operations, and you'll build a generalist program management bench that incubates new programs for the Product organization. The ideal candidate combines strategic judgment about what the company should take on with the operational rigor to make those programs run at scale. About Anthropic Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Responsibilities - Set the team's charter and priorities: decide which cross-functional programs Product Program Management takes on and which it scales - Build strong partnerships with the teams Product Program Management supports across Product, Engineering, GTM, Finance, Legal, and more, so programs reflect their priorities and they see the team as a trusted extension of their own - Hire, lead, and develop a high-performing organization of managers and program managers across Product Program Management, including: - Commercialization Operations, which runs commercial launches for new products that will be billed or sold, plus programs like credits and promotions, trusted access, and local pricing, in partnership with Finance, Billing Engineering, and GTM - Community and Executive Escalations Operations, which handles social listening and escalations and turns them into product fixes - Marketplace Operations, which runs review and publishing for Anthropic's MCP Directory and plugin ecosystem - Build a small generalist program management team that incubates new cross-functional programs for the Product organization, runs them until they're stable, and then either matures them into their own pillar or shifts them to a long-term owner - Define success metrics for each program and report on them through regular business reviews with Product leadership - Provide thoughtful coaching and feedback to your direct reports, and partner with them on their career development and growth You may be a good fit if you have - 12+ years of experience in program management, business operations, or a related field, ideally at a high-growth technology company - 5+ years of people management experience, including managing managers - A track record of building programs from 0 to 1 and then scaling them into durable operations - Experience with commercial launches, billing and pricing operations, or marketplace and developer platform operations (more than one a plus) - Strong judgment and execution on prioritization: you can stack-rank competing asks from Product, Engineering, GTM, and Finance into one roadmap and explain the tradeoffs - Experience partnering with engineering teams to replace manual operational work with tooling and automation - Excellent cross-functional influence with stakeholders who don't report to you, including executives - Clear, concise written communication: you can brief an executive in three sentences and write a process doc the next person can run from - Comfort with ambiguity and a bias toward action in a fast-moving environment with many priorities at once - Excitement about building the operational backbone that lets Anthropic's products launch and scale safely 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: $365,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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