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B2B Marketing - India
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 $11B - 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 a senior B2B Marketing Generalist to build and scale demand generation across multiple channels. This is a hands-on role focused on generating enterprise pipeline, growing our brand with technical buyers, and creating programs that become benchmarks for B2B marketing in AI. Your work will shape how the Indian businesses discover, evaluate, and adopt ElevenLabs. The goal is to build repeatable marketing engines that make the top choice for every enterprise evaluating voice AI, whether for conversational agents, or creative applications. What you’ll do: - Build integrated B2B marketing campaigns end to end across priority industries, from strategy and messaging through execution and measurement. - Build and execute programs across ABM, content, webinars, partner/customer marketing, executive branding, product launches, and outbound, choosing the right channel for the problem rather than owning a single function. - Partner closely with sales, product marketing, growth, design, and global marketing teams to keep messaging consistent and execute high-impact campaigns. - Own pipeline generation and campaign performance, using data to measure results, run experiments, and continuously improve what works. Requirements: - 5 to 7 years of experience at a high-growth technology company - built and scaled B2B demand generation programs that created measurable enterprise pipeline, and know what moved the needle. - Work well without much process. This role spans multiple marketing functions and needs someone who sets priorities, spots opportunities, and moves quickly. - Relentless commitment to excellence - holds a high bar for quality, clarity, and impact - Is curious about AI, follows the technology ecosystem closely, and has exceptional judgment on what makes marketing stand out. Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Lead B2B demand generation for the region and channels as ElevenLabs continues to scale globally. - Own a major marketing function, such as enterprise marketing, events, or product marketing. - Grow into a broader marketing leadership role, helping define the GTM strategy for new products and markets. Location This role is remote-first and can be executed from anywhere in India. #LI-remote
Android 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 $11B - 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 Android developer to join our growing mobile team to spearhead high-impact projects in the audio AI space. Your role will include the delivery of new features to our reader app, ensuring seamless integration with our AI-driven audio functionalities. As part of our dynamic team, you will have the opportunity to identify pivotal areas where strategic initiatives or incremental efforts can drive significant impact. We value engineers who are impact-driven, autonomous, and adept at discerning crucial insights from experimental results. A strong background in native Android development with a proven track record is required. IN THIS ROLE, YOU WILL - Drive the development of innovative features in our mobile projects through using a combination of data analysis, product ideation, and experimentation to optimize user experiences. - Plan and deploy mobile platform infrastructure necessary to build, test, and deploy these product experiences. - Collaborate closely with design, product, research teams to achieve product goals. - Contribute to the architecture and technical direction of the app. - Ensure the performance, quality, and responsiveness of the application. - Participate in code reviews and contribute to best practices and coding standards. - Continuously discover, evaluate, and implement new technologies to maximize development efficiency. WHO YOU ARE We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you: - Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. - Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. - Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. - Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. WHAT YOU BRING - Have shipped features on Android that optimize user experiences and drive engagement. - Are highly analytical and have experience designing and implementing A/B tests, with a scientific approach to data-based experiments. - Have a voracious and intrinsic desire to learn and fill in missing skills, and an equally strong talent for sharing that information clearly and concisely with others. - Are comfortable with ambiguity and rapidly changing conditions, viewing changes as an opportunity to add structure and order when necessary. This is an exciting opportunity to work on cutting-edge technologies and make a significant impact on the future of audio AI applications. LOCATION This role is remote-first, so it can be executed from anywhere with the ability to operate between GMT and GMT+5 preferred. #LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Staff Software Engineer, Growth
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 looking for growth engineers to join our growth team. This key role will help drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. Key responsibilities - Develop and implement technical solutions to support user acquisition, activation, retention, and revenue growth - Design and execute A/B tests and experiments to optimize user onboarding, feature adoption, subscription conversion, and overall product experience - Collaborate with product and marketing teams to identify growth opportunities and translate them into technical requirements Minimum qualifications - Experience working on user growth (acquisition, activation, retention, monetization) or have worked in a revenue focused organization like ads. - Have experience full-stack development (web/React and backend), and experience with data analysis and experimentation frameworks - Take a data-driven approach to problem-solving, with a keen eye for identifying patterns and opportunities in user behavior and metrics - Are passionate about the potential of AI to reach and benefit a wide audience, and eager to tackle challenges in scaling AI products - Thrive in a fast-paced, collaborative environment and enjoy working closely with cross-functional partners and teammates Preferred qualifications - 5+ years of experience as a software engineer - Have ideas for experiments to run to drive user growth or monetization - Able to dive into data and identify opportunities - Possess a vision for the future of AI product growth and a drive to make that vision a reality The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.
Program Manager, GTM Systems
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic's GTM Systems team builds and operates the systems and processes behind the company's go-to-market motion — quoting, provisioning, customer success tooling, and the data infrastructure that ties them together. As a Program Manager on the team, you'll own cross-functional coordination across our concurrent systems initiatives: aligning stakeholders, running quarterly business reviews, and making sure every program stays tied to the business outcome it exists to drive. You'll work across Sales, Customer Success, Revenue Operations, Deal Desk, and Business Technology leadership to keep multiple in-flight programs moving in lockstep — CPQ, deployment tracking, account data quality, and compliance-driven process change. You'll be the person in the room translating between technical implementation detail and executive priorities, and the person following up afterward to make sure alignment turns into action. In a typical week, you'll prepare for and run quarterly business reviews, meet with operational leads and stakeholders across the GTM organization, and pull together the documentation that keeps initiatives aligned. Throughout, you'll dig into the "why" behind each program — not just tracking status, but making sure the team can always articulate the business outcome a program is meant to drive and how it's being measured. Key responsibilities: - Own cross-functional coordination across concurrent GTM systems programs, including CPQ, deployment tracking, account data quality, and compliance-driven process change - Prepare and run quarterly business reviews for GTM systems initiatives, and drive the decisions and follow-ups that come out of them - Partner with operational leads and stakeholders across Sales, Customer Success, Revenue Operations, Deal Desk, and Business Technology to keep programs aligned and moving - Translate between technical implementation detail and executive priorities in both directions, so engineers understand the business context and leadership understands the trade-offs - Define and track the business outcome each program exists to drive, along with how it's measured, and hold programs to it - Aggregate and maintain the documentation, plans, and status views that keep cross-functional initiatives coherent - Surface risks, dependencies, and competing priorities early, and drive them to resolution without direct authority over the teams involved Minimum qualifications: - Hands-on experience with GTM processes at a software or technology company — lead-to-cash, quote-to-cash, renewal and expansion motions, or customer health - Working understanding of how systems such as Salesforce, CPQ platforms, or customer success tools support those processes - A track record of owning cross-functional alignment with senior stakeholders — running recurring business reviews, facilitating rooms with competing priorities, and driving decisions without direct authority - Strong program management fundamentals: planning, tracking, dependency and risk management - Clear written and verbal communication, with the ability to move between technical detail and executive summary depending on the audience - Work effectively in fast-moving environments with high ambiguity, including where process doesn't exist yet - Excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications: - Experience with lead and campaign automation, CPQ implementations, or customer success and health-scoring programs (Gainsight or equivalent) at a software company - Experience operating in a compliance-sensitive environment, such as SOX or IPO readiness - Experience partnering closely with engineering or business technology teams on systems implementations, not only with business stakeholders - Familiarity with the data models behind GTM systems, and comfort using data to diagnose whether a program is working - Experience at a company that scaled significantly during your tenure 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: $235,000 - $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.
Account Director, Digital Native Large Enterprise
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 can be based in our San Francisco or Seattle offices. We are also considering applications to work remotely from within the U.S. 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 ~five key accounts, developing and executing strategies for a comprehensive account plan - Lead our enterprise customers’ journeys from ideation to successful deployment - Partner with solutions and research engineering to build and execute complex customer programs and projects - Own a consumption revenue target - Manage consumption revenue forecasts - Analyze key account metrics to create reports and provide insights to internal and external stakeholders - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering - Support the recruitment and onboarding of other teammates - Support the development of company culture We're seeking someone with experience including: - 14+ 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. - 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.
Deployment Strategist - Nordics
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 $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: - Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. - Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. - Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. - Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life. - Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact. - Scope out potential applications in new industries and expand our AI solutions across different sectors globally. - Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives. - Collaborate with our Research teams to feed field insights back into ElevenLabs' platform and models, helping shape the roadmap. - Build and deliver compelling demos of ElevenAgents and our broader AI technology to new and existing customers. - Collaborate daily with customers' engineering and executive teams to ensure agents reach production and deliver measurable business outcomes. Requirements - 3+ years of experience working with customers in a technical capacity. Direct enterprise customer experience is preferred. - Experience in product development, delivery, and change management - Commercial instinct: comfort engaging in deal conversations, structuring value propositions, and navigating enterprise sales cycles alongside GTM partners. - Basic proficiency in Python and familiarity with API integration, sufficient to prototype, demo, and communicate credibly with engineering teams. - Excellent communication and problem-solving skills; particularly the ability to simplify complex technical concepts and structure clear logic in pursuit of optimal solutions. - A proven track record of taking ownership of complex, ambiguous projects and delivering results. - Adaptability to work across different customer environments, industries, and technical use cases. - Technical aptitude and familiarity with common LLM, tooling and AI agent frameworks. - Ability to creatively map enterprise use cases and workflows to AI systems
Capital Markets - Infrastructure Financing
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 lead for Capital Markets - Infrastructure Financing to drive the structuring and execution of financings that support Anthropic's compute infrastructure strategy. In this role, you will lead financing workstreams end-to-end, engage external financing counterparties, and partner closely with our compute, treasury, legal, finance, and accounting teams to bring transactions from structuring through close. Compute is the foundation of frontier AI progress, and securing it requires tight coordination between our internal teams and external partners. The role may also extend to broader corporate finance and capital markets work as the company grows. This role combines transaction execution with elements of financial analysis, relationship development, and strategic decision support. You will be an integral part of a team focused on securing the compute resources Anthropic needs to pursue its mission of developing safe, beneficial AI systems. Key responsibilities - Own financing workstreams end-to-end: structuring, counterparty engagement, term negotiation, and execution support - Translate infrastructure requirements into clear, investable frameworks and materials for financing counterparties - Build and maintain rigorous financial models supporting transaction structuring and capital allocation decisions - Develop repeatable internal frameworks and processes for evaluating and executing financing transactions - Develop and maintain a credible network of financing and capital markets counterparties - Partner with compute, treasury, legal, and leadership teams to keep transaction terms aligned with broader company priorities - Support broader corporate finance and capital markets analysis as needed - Represent Anthropic independently in negotiations with external counterparties, exercising sound judgment on risk allocation and commercial terms - Prepare analysis and materials that distill complex financing decisions into clear recommendations for Finance leadership Minimum qualifications - Have led complex financing transactions through to close, including direct negotiation and documentation with external counterparties - Able to run a financing workstream with external counterparties independently, without close supervision - Strong written and verbal communication skills, with the ability to influence diverse stakeholders and make complex structures legible to non-specialist leadership - Ability to drive clarity in ambiguous environments and manage competing priorities with high-quality execution - Strong financial modeling, structuring, credit analysis, and transaction documentation skills - Commitment to safe AI development Preferred qualifications - 8-10 years of experience across infrastructure investing, private equity, private credit, and/or investment banking - Experience in structured and project finance, including financial analysis of large-scale infrastructure investments - Capital markets and capital structure experience The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $325,000 - $425,000 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, Enterprise
About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise Applied AI Engineer, you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. In this role, you will: - Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Engagement Manager (Computer Vision), Public Secto...
Engagement Manager (Computer Vision), Public Sector Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade computer vision solutions and delivering them into operational use cases that matter. We’re hiring an Engagement Manager (EM) to lead and coordinate delivery of computer vision workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a customer account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: - Manage customer relationships from the executive to the end user - Work alongside customers to scope computer vision use cases that Scale’s engineering team will build and you will ultimately refine - Lead or support a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Oversee onboarding and successful implementation of customer accounts - Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision domain We have a diverse team with a variety of skill sets, many have: - A technical background (education or professional experience with computer science, economics, statistics, engineering) - A proven track record in B2B client-facing roles and expanding client relationships - Prior experience owning the technical implementation of solutions to the government Must haves: - An active TS/SCI clearance - 3+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions - A deep understanding of ML operations process - A track record of structured, analytics-driven problem solving - Excellent verbal and written communication skills - Willingness to be onsite with customers up to 4 days per week in the DMV area and / or prepared to travel a minimum of 25% 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. The base salary range for this full-time position in the location of Washington DC is: $187,200 - $234,000 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.
AI Infrastructure Engineer, Sandbox Platform
AI Infrastructure Engineer - Agent Sandbox Platform As a Software Engineer on the AI Infrastructure team, you'll help build and evolve our agent sandboxing platform — the secure, high-performance code execution layer powering our agentic workflows, deployed across both internal and customer-managed environments. This is a role for someone who cares as much about the experience of the engineers and researchers using this system as they do about the kernel internals underneath it. You'll combine deep systems expertise (isolation, virtualization, performance) with an obsession for developer experience: clean APIs, clear error messages, good docs, and a client library that feels well-crafted.
Applied AI Engineer, Agent Enablement
About the team The Agent Enablement Applied AI Engineering team works across engineering, product, design, partnerships, and strategic customers to grow an open ecosystem of agent-enabled sites and services. We help partners adopt the OpenAI tech stack related to identity, permissioning, agent-auth primitives so users can safely connect ChatGPT and Codex to the tools, services, and workflows they already use. Our team also works with external partners on defining the standards for agent access, marketplace offerings as well as other agent enablement initiatives to ensure users of ChatGPT and Codex go from intent to task completion seamlessly. About the role We are looking for an Applied AI Engineer to help strategic partners design, build, validate, launch, and operate agent enablement integrations across web applications, connectors, APIs, CLIs, MCP servers, and developer tools. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated technical engagements, and turn ambiguous identity and agent-workflow requirements into secure, production-ready integrations. You will work across partner product and engineering teams and OpenAI’s product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams. You will identify high-value user journeys, choose the right integration path, prototype and review architectures, write code, run evaluations and dogfood, trace failures end to end, guide launch and rollout, and support post-launch iteration. The best person for this role moves fluidly between full-stack code, OAuth/OIDC and identity systems, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product-minded engineer who wants to stay close to users and partners while going deep on authentication, permissions, reliability, safety, and developer experience. The principle objective is to help partners ship low-friction, trustworthy agent experiences that work across real-world account states, enterprise constraints, and user expectations. This role is based in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own the technical partner journey for priority agent enablement integrations—from use-case selection and readiness assessment through architecture, prototype, implementation, evaluation, launch, rollout, and ongoing maintenance. - Help partners choose and implement the right integration path across browser sign-in, connector-initiated OAuth, and agentic account linking or provisioning, with clear user journeys and safe fallback behavior. - Write production and sample code, build reference implementations and test harnesses, and create the technical guidance, integration checklists, evaluations, and debugging tools that move partners from concept to production. - Debug identity and agent workflows end to end: user interface state, browser redirects, PKCE/OIDC transactions, token exchange and validation, account mapping, connector callbacks, CLI or MCP handoffs, latency, retries, rate limits, logs, traces, and metrics. - Review partner architectures and implementation plans for API contracts, scopes and permissions, consent, terms acceptance, and account policy, secret handling, data boundaries, privacy, reliability, and long-term maintainability. - Run hands-on evaluations, dogfood, launch-readiness reviews, staged rollouts, and post-launch investigations; turn findings into concrete fixes rather than one-off workarounds. - Contribute targeted improvements to ChatGPT, Codex, and the Agent Enablement platform, including identity protocols, APIs, SDKs, docs, examples, internal tooling, partner-debugging workflows, launch guardrails, and user-facing consent or control experiences. - Work closely with product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams to make partner launches smooth, safe, and repeatable. - Bring structured signals from partners back to product and engineering, and turn recurring integration patterns into platform requirements, reference architectures, playbooks, and developer guidance. You’ll thrive in this role if you: - Have 4–6 years of professional software engineering or AI engineering experience and are strong enough technically to contribute to the platform itself while still enjoying hands-on coding. - Have operated in a customer or partner facing roles in scoping projects, building MVPs, presenting trade-offs in solution design and architecture, understanding user value drivers as well as scoping and executing on tight implementation plans. - Have built and operated production full-stack products, APIs, backend services, developer platforms, connectors, or integrations, and can reason across frontend, backend, auth, data models, reliability, privacy, and UX constraints. - Have a strong understanding of how plugins and connectors work with coding agents, integrating MCP servers, using CLIs and APIs to access external tools. - Can work comfortably with external engineers, product leaders, and executives, and translate partner feedback into crisp technical plans and product improvements. - Are comfortable with ambiguity and rapidly changing conditions, and can turn high-level ideas into runnable prototypes, API contracts, technical specs. - Balance urgency with judgment and can keep complex partner launches moving while staying precise about the details that matter. Preferred qualifications: - High-level understanding of the identity stack, including how OAuth works. - Experience designing or operating APIs, webhooks, schemas, SDKs, CLIs, MCP servers, tool-calling systems, or other developer-facing integrations. - Prior customer-facing or partner-facing engineering experience, including leading technical calls, navigating ambiguity, and helping external teams ship production software. - Strong familiarity with AI products, LLM APIs, ChatGPT or Codex surfaces, coding harnesses, developer platforms, agent workflows, or ecosystem products. - Experience with evaluations, staged rollouts, observability, incident response, launch operations, and turning production learnings into durable platform improvements. 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, Core Models
About the Team The Core Models team helps shape how OpenAI’s frontier models are built, measured, and launched. We work across Research, Engineering, Model Design, Data Science, and Product to turn advances in model capabilities into reliable, useful experiences for people. Our scope includes model planning and launches as well as building data flywheels, evaluations and measurement systems to ensure our models have strong capabilities and behavior. About the Role As a Product Manager for the Core Models team, you'll be at the forefront of defining and guiding the future of how our AI models work in real-world applications. You will connect user needs to model and systems decisions: how prompts are understood; how information is aggregated and made useful for training and evaluation data; and how capabilities move from research prototypes into the mainline model and launch stack. You will operate comfortably across research, infrastructure, and consumer product surfaces, creating clarity where ownership and technical boundaries are still emerging. 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: - Translate user and product goals into clear model requirements, system architecture choices, and research priorities across query understanding, indexing, retrieval, ranking, tool boundaries, data, training, inference, and evaluation. - Build closed learning loops that turn product usage, explicit feedback, and other user signals into datasets, evaluations, experiments, training priorities, and launch decisions. - Define success across offline evaluations and online product metrics, balancing model quality, usefulness, latency, safety, reliability, and cost. - Partner closely with post-training research, applied product engineering, Model Design, and Data Science to integrate capabilities into the mainline model stack. - Create reusable platforms and operating systems for evaluation, experimentation, and signal collection so that new capabilities improve faster over time. - Use concrete product failures and emerging user needs to identify gaps, form hypotheses, and shape the next wave of research and product investment. You might thrive in this role if you: - Have deep expertise in product management or closely related experience, including ownership of technically complex products or platforms. - Bring deep fluency in one or more relevant domains: search and information retrieval, recommendation or personalization systems, ML platforms, large-scale data systems, model evaluation, or AI product infrastructure. - Know how to pair offline evaluation with online experimentation and user signals, and can distinguish a useful metric from a convenient one. - Earn the trust of researchers and engineers through technical depth, crisp judgment, and a willingness to engage directly with the details. - Combine consumer product taste with systems rigor, and care about both the quality people feel and the infrastructure that makes it repeatable. - Move quickly in ambiguous environments, communicate directly, and help teams make sound decisions without waiting for perfect information. - Care deeply about how increasingly capable models affect people, and bring humility, judgment, and a strong sense of responsibility to the work. 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 Executive - North America - Productions
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - 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 ElevenProductions is the premium audio services arm of ElevenLabs that uses human-in-the-loop production workflows to deliver high-quality localization, audiobooks, custom voices, advertising creative, and more to customers across media, broadcasting, publishing, and gaming. ElevenProductions is powered by a network of 500+ professionals across 15 language teams that combine industry expertise with a deep knowledge of AI tools. We are looking for Enterprise Account Executives to drive ElevenProductions growth across North America. You will work closely with Hollywood studios, TV networks, Big 5 book publishers, AAA gaming studios, and more to expand our service provider footprint and bring real-world use cases of ElevenLabs technology to life. IN THIS ROLE YOU WILL: 1. Build and manage a growing portfolio of new accounts across Media & Entertainment, publishing, and other industries adopting services powered by AI audio at scale. 2. Develop and execute strategies to expand ElevenLabs’ service provider footprint presence within key accounts 3. Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts. 4. Serve as a trusted advisor to customers in how they adopt and deploy ElevenLabs technology at scale REQUIREMENTS 1. 7+ years of quota‑carrying technology sales experience, ideally in Medi
Director of AI, Dating Outcomes
Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Most consumer apps treat your attention as the product, optimizing every recommendation and notification to keep you scrolling. Hinge made the opposite bet: our mission is to get people off the app, out on a date, and eventually to delete us entirely. That is not a tagline. It is the actual constraint every AI system we build has to solve against. The Director of AI, Dating Outcomes owns the hardest version of that problem. You will lead the AI systems at the core of how Hinge connects people: the recommendation engine, the ranking models, and the generative capabilities that help users put their best selves forward. The goal is not engagement, it is outcomes: fewer ratings per exchange, higher quality matches, and more people finding the person they were looking for. Because Hinge does not sell ads or user data, being exceptional at this is our business model. Reporting to the VP of AI, you will set the long-term AI roadmap for one of the company's most influential product areas and build the teams that bring it to life. The problems sit at the intersection of human behavior, sparse real-world signals, and a two-sided ecosystem of people who are not interchangeable, a different kind of ML challenge than most people in this industry have had the chance to work on. Responsibilities Strategy and Vision: Own the AI strategy for dating recommendations across the full journey, from first candidate to last date. Build the frameworks to reason rigorously through ecosystem tradeoffs where a win for one cohort reshapes another, and set a vision ambitious enough that the org wants to chase it. Cross-Functional and Industry Leadership: Partner closely with other product groups to integrate AI capabilities across the product and shape roadmap decisions you do not own. Communicate honestly with executive leadership on strategy, tradeoffs, and progress. Own budget and investment strategy for the area, and represent Hinge externally through writing, talks, and community. Technical Leadership: Steer real-time, personalized recommendation systems that reduce ratings per exchange and drive better matches. Bring Generative AI to dating outcomes in ways that are differentiated, authentic, and grounded in how people actually connect. Responsible AI: Hold the bar on scalability, resilience, and rigorous evaluation for both performance and bias. Team and Organizational Development: Structure and scale the team for both deep execution and long-horizon bets. Develop emerging leaders, invest in succession across IC and leadership tracks, and build a culture where rigor, inclusion, and performance reinforce one another. Execution Excellence: Drive predictable delivery, balancing urgent risk response with long-term platform investments. Establish scalable operating rhythms for planning, technical reviews, and incident learnings. What We're Looking For 10 or more years across data science, applied ML, and software engineering, with 6 or more years in AI or engineering leadership defining strategy, not just managing execution. A track record of leading real-time, personalized recommendation systems in production, including the relevance, fairness, and scale tradeoffs that carry real consequences. Demonstrated success scaling ML or AI teams and developing technical leaders who carry the work over years, not a single launch. Deep technical fluency across ML, RL, Generative AI, and MLOps, with the communication skills and executive presence to represent AI strategy at the highe
Senior Editor
Perplexity is seeking a Senior Editor to lead the quality and velocity of everything we publish. Our content spans a range of audiences, channels, and objectives. You will set the editorial bar for excellence and make every writer around you measurably better. If you treat a clunky sentence and a sprawling launch narrative as the same kind of craft, take pride in language without being precious about deadlines, and want to build a world-class editorial function from the ground up, this role is for you. Responsibilities - Own editorial quality end to end. - Reject mediocrity. - Demand clarity. Ensure accuracy. - Be Perplexity. Evolve and enforce our voice. Everything we ship should sound like we shipped it. - Be accountable. Hold objective authority in a sea of subjective opinions. - Plan and manage the editorial calendar. Run prioritization and production for a fast-moving pipeline in a high-growth environment. - Edit at every level. Player-coach plus team owner and stadium sponsor. Move fluidly from high-level editorial vision to developmental editing to line-level copy editing. Deliver feedback that makes the writing and the writer better. - Mentor, elevate, and attract excellent writers. Earn the respect of strong writers by making them stronger. - Make sense of things. Make sense to people. - Build the editorial system. Evolve and own the style guides and workflows. - Work productively across the company. Everyone wants content, and you’re the content. Qualifications - 7+ years in editing, writing, or editorial leadership, with a body of published or edited work that demonstrates exceptional command of language. - High flexibility of tone and mind. You must be able to demonstrate an ability to adapt styles and voices for different channels or audiences. - High competence throughout the editorial stack: developmental editing, copy editing, content planning, and managing production. - A demonstrated track record of mentoring writers and improving the quality of a team's output, not just your own. - Exceptional ability to learn. - Refined judgment on all matters of structure, argument, and voice - A proven eye for narrative in messy, ambiguous, or highly technical material. - Deep familiarity with the rules of grammar, style, and storytelling. - Enough experience in the bullet above that you have a clear perspective on which rules you intend to break and when. - Comfort using AI tools and the ability to articulate exactly where and how you incorporate them into your workflows. - A passion for the truth well-told.
Business Operations Manager
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 https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, 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 https://modal.com/blog/modal-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 https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for business operations managers to join the team. This person will work closely with folks across marketing, sales, operations, and finance across a variety of initiatives to help scale the business in our next phase of growth. You'll be a generalist who gets in the weeds on all the business and operational aspects of a high-growth startup. In this role, you will: - Drive in-depth quantitative analyses to inform our pricing and packaging strategy. - Help spin up our deal desk and streamline enterprise deals. - Support the exec team on various finance functions, from investor relations to large cloud vendor negotiations to identifying cost optimization opportunities. - Implement new tools and processes to enable the GTM org to grow rapidly. - Get creative on a spectrum of ad-hoc projects like securing new office space in Manhattan. REQUIREMENTS: We are looking for someone who: - Has 5+ years experience working in some kind of business function (e.g. banking, consulting, startup). - Has some exposure to tech and coding (in order to understand our product & customer, work with analytical tools, and build out custom tooling). - Is analytical, organized and detail-oriented, holds their output to a high bar of excellence. - Is eager to learn about a variety of different business functions and juggle many projects at once. - Is excited about working in-person in NYC.
Safety Coordinator / Lab Lead
At Scale, we believe that the next frontier of artificial intelligence is embodied. The Physical AI team is focused on building general AI that can reason and act in the physical world. By leveraging Scale’s massive, industry-leading data infrastructure, we are partnering with frontier labs to build Foundation Models for Physical AI that will redefine the future of automation. To support our rapid hardware-software iteration cycles and ensure a world-class R&D environment, we are looking for a Safety Coordinator / Lab Lead to anchor our physical testing operations. Role Overview As the Safety Coordinator / Lab Lead , you will play a mission-critical role in scaling our physical testing infrastructure safely and efficiently. This is a high-impact position where your highest-priority responsibility will be owning the end-to-end execution of safety audits and incident documentation . Operating at the intersection of cutting-edge AI foundation models and complex robotics hardware, you will ensure our researchers, engineers, and autonomous systems interact in a secure, compliant, and highly organized environment. Core Responsibilities Priority Focus: Safety Audits & Incident Documentation - Rigorous Safety Audits: Design, schedule, and execute routine safety audits across all physical testing environments, robot cells, and hardware workspaces to ensure continuous compliance with internal benchmarks and industrial safety standards. - Incident & Near-Miss Documentation: Own the end-to-end incident management pipeline. Act as the primary point of contact for documenting, archiving, and analyzing any lab incidents, mechanical anomalies, or near-misses. - Root-Cause Analysis (RCA): Lead structured post-incident investigations to identify systematic risks, authoring comprehensive RCA reports and implementing Corrective and Preventive Actions (CAPA). - Data-Driven Risk Mitigation: Treat safety data as a core operational asset—tracking safety metrics and audit trends to proactively surface and mitigate physical, electrical, and battery-related hazards. - Cross-functional standardization & accountability: Build the tools/processes and associated documentation to drive standardization regarding safe work practices across all multiple facilities. Build mechanisms to hold all employees and partners to a high bar for safety in any Robotics facility. Lab Leadership & Operational Excellence - Daily Lab Operations: Manage the layout, organization, and upkeep of our physical testing arenas and motion-capture volumes using 5S or equivalent workplace organization methodologies. - Hardware & Asset Management: Oversee the inventory, calibration, and maintenance of specialized robotics hardware, compute nodes, and safety gear (PPE). - Cross-Functional Coordination: Collaborate closely with hardware and software engineering teams to smoothly manage workspace allocation for concurrent foundation model testing tracks. <
Account Director, Digital Natives - Nordics
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 Stockholm. We use a hybrid work model of 3 days in the office per week. 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: - 5-7+ 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. - 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.
Senior Officer, AI Technology Policy
Senior Officer, AI Technology Policy at Bill & Melinda Gates Foundation. Femtech Insider network role. Industry tags: Business And Industrial, Charity, Education, Financial Services, Gender Equality, Global Development, Global Health, Health Care, Human Resources Hr, Impact Investing, Lending and Investments, Non-Profit. Skills: Stakeholder Engagement, Research, Education Policy, Relationship Building. Locations: Washington, DC, USA. Work mode: on site.
Technical Assurance Lead
Scale is powering the generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand across global markets, including accelerating public sector and commercial business. Scale seeks a Technical Assurance Lead to drive assurance programs across Scale's public sector and commercial business. Reporting to the Head of Global Assurance, this is a hands-on individual contributor role with significant autonomy. Scale is looking for an experienced security and compliance professional to support Security Risk Management Assessment and Authorization (A&A) audit activities for Scale’s products. You will be part of the global GRC team and work across Public Sector, Enterprise, Security, Engineering, Product, and Legal to deliver region-specific authorizations, certifications, and customer assurance outcomes, with a focus on the US markets. We are looking for relentlessly curious, deliberately open-minded, and action-oriented generalists who can advise on internal policies, and operational processes while employing an empathetic interpersonal style. If you enjoy solving novel and challenging problems and building strong relationships while doing it, we’d love to hear from you! You Will - Lead public sector compliance programs (e.g., FedRAMP HIGH, DoD SRG IL4/IL5/IL6, NIST 800-53/800-171, CMMC, and RMF), owning controls mapping, gap analysis, evidence collection, ATO packages, and certification timelines, including coordination with 3PAOs and external assessors. - Oversee Security Risk Management A & A processes, including cloud system risk assessments, POAM development and tracking, vulnerability management, STIG implementation, and security configuration oversight. - Drive cross-functional control implementation by partnering with product, engineering, security, operations, legal, and people ops to deploy technical, administrative, and operational controls. - Set priorities and cadences for intake, evidence collection, remediation tracking, and deadline management, and reporting program health and risks to the Head of Global Assurance. - Manage external relationships with auditors, assessors, certification bodies, and regulatory counterparts to achieve and sustain compliance outcomes. - Maintain system security documentation and GRC tooling, including continuous updates to security documentation and uploading control evidence to eMASS or Xacta throughout the monitoring phase. - Lead compliance reviews for new products and features, and proactively advise the business on emerging certification programs, regulatory changes, and evolving requirements. - Maintain and expand Scale's certification portfolio, including SOC 2, ISO 27001, ISO 42001, and ISO 9001, working with the global GRC team on renewals and new certifications. - Support customer and stakeholder assurance activities, including security questionnaires, due diligence responses, compliance input to bids, and customer-facing assurance discussions. You’ll Have - An active US Top Secret security clearance with minimum IAT Level 2 certification (Security +, CASP, or similar). Ideally, You’d Have - 7+ years of experience in security compliance, technology audit, GRC, cloud security, or related roles, with meaningful exposure to the public sector markets. - Experience implementing and maintaining some of the following frameworks and standards: FedR
Software Security Engineering Manager, Secure Fram...
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 Security Engineering Manager to lead our Secure Frameworks Research team, which builds high-leverage security frameworks and libraries that make model development secure and prevent entire classes of vulnerabilities through careful design. You'll collaborate closely with teams and leaders across Anthropic to own critical security foundations, including cryptographic frameworks and secure serialization and authorization systems that empower teams to work securely without becoming security experts themselves. Key responsibilities - Design frameworks and libraries that enable secure handling of sensitive data including model weights, customer data, and training datasets - Own what you build completely; ensuring outstanding user experience, proactive monitoring, and responsive support - Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond your team - Partner with product, research, and infrastructure teams, as well as other Security teams to ensure frameworks integrate smoothly with lower-layer security controls - Make strategic decisions about which frameworks to build based on security risk and translate into prioritized roadmaps - Define success metrics around framework adoption and impact - the team succeeds when engineers naturally reach for Secure Frameworks' tools rather than building security solutions from scratch - Manage and grow a team of engineers to deliver high-impact projects that balance security rigor with development velocity Minimum qualifications - 3+ years managing security engineering teams with proven track record of team productivity - 5+ years hands-on security and software engineering experience - Deep expertise in securing complex architectures, threat modeling, and risk assessment with ability to evaluate security tradeoffs and make risk-based decisions - Strong cross-functional collaboration skills, balancing security requirements with developer experience and velocity - Clear and persuasive communicator in both writing and verbal settings - Passionate about building diverse, high-performing teams and growing engineers in a fast-paced environment - Low ego, high empathy, and have a track record as a talent magnet - Experience working with technical internal customers - Familiarity with AI safety concepts and frameworks The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,00
Staff Software Engineer, Developer Productivity (C...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every engineer at Anthropic depends on the path from pull request to production. The Developer Productivity team owns that path end to end — review automation, CI, the merge queue, the deploy pipeline, and the policy that gates each step. These pieces exist today; the opportunity is to integrate them into a single fast, predictable system that scales with the volume of code shipping into Claude and our research infrastructure. In this role, you'll be responsible for making "time from push to healthy in production" a metric the whole company can rely on. You'll shape the CI and repository topology that best serves our velocity, build AI-assisted review that keeps confidence high as PR volume grows, and partner closely with platform, security, and delivery infrastructure teams on the substrate underneath. This is a tech-lead-scope IC role with broad cross-team influence — you'll represent Developer Productivity in org-wide pipeline decisions and help other teams adopt the standards you set. We use Claude heavily in our own development workflows, and this team is at the center of that: agentic coding is both how we work and part of what you'll be building. Key responsibilities - Own the build, test, merge, and deploy pipeline end to end — what runs on each PR, what auto-approves, what gates merge, and how a change progresses to running healthy in production - Drive down and defend "time from push to healthy in prod" as a core engineering metric - Design and tune AI-assisted code review so confidence-to-land scales with PR volume - Build the deploy and release path — canary, progressive rollout, health checks, automated rollback — in partnership with the platform teams who own the underlying substrate - Improve test reliability by quarantining, root-causing, and retiring intermittent failures - Shape CI and repository topology (build graph, test targeting, scope boundaries) to match how the company actually ships - Partner with platform, delivery infrastructure, and security teams, and represent Developer Productivity in cross-org pipeline decisions - Design processes (postmortem review, incident response, on-call) that help the team operate reliably and never fail the same way twice Minimum qualifications - Significant backend or developer-infrastructure engineering experience, with hands-on responsibility for a high-leverage CI/CD, merge queue, or land pipeline at scale - Proficiency in Python and at least one statically-typed systems language (e.g., Go or Rust) - Experience operating CI/CD or release systems through production incidents, including writing postmortems and driving remediations - Demonstrated ability to work across team boundaries — building consensus with platform, security, and product engineering stakeholders - Comfo
Communications Lead, Platform
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a Communications Lead to own external communications for the Claude Platform, our API. The Claude Platform is how many of our customers put Claude to work, and this role shapes how that work is understood beyond Anthropic: from flagship product launches to the steady cadence of capability releases and developer-facing news. You'll sit on the Product Communications team and work day to day with the Platform product and engineering teams, Product Marketing, and Developer Relations. You should understand how developers and enterprises actually build with APIs and be comfortable engaging with developer tools and hold a clear point of view on what makes a product land. Key responsibilities - Own communications for the Claude Platform end to end: capability releases, product updates, and the steady cadence of developer-facing news - Build and maintain strong relationships with the journalists, newsletter writers, and creators covering AI platforms, enterprise software, and the API economy - Prepare Platform leaders to be effective spokespeople for press, podcasts, panels, and the smaller moments in between - Partner with Product and Engineering to align external narratives with how these products are sold and supported, and surface customer feedback back to the teams who can act on it - Work across press, social, owned, and community channels, with the judgment to know which one carries a given moment and when to coordinate more than one at once Minimum qualifications - Experience in communications, PR, or product marketing, including meaningful time on platform, API, developer, or enterprise products - An understanding of both developer culture and enterprise buying, and the judgment to read timing and tone when the conversation around AI gets noisy - Strong instincts for which product moments deserve the spotlight and which don't, and genuine curiosity about what makes a launch land - A demonstrated ability to operate with high agency and low ego, with a bias to action Preferred qualifications - 8-10 years of experience in communications, PR, or product marketing - Communications experience at a developer platform, API-first, or enterprise software company - Existing relationships with reporters and analysts covering AI platforms, enterprise tech, or the developer ecosystem - Experience managing communications for AI or ML products - Are very online: you follow the right channels, know what's moving through Hacker News and developer social chatter, and catch things early The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000&
Principal Research Scientist, Gameplay AI - Tech R...
Research Scientists at Riot combine deep technical expertise across machine learning, artificial intelligence (AI), experimental design, and systems engineering to invent new ways players experience games. As a Principal Research Scientist, you operate at the frontier of what’s possible and set the standard for how research is conducted and how it translates into extraordinary gameplay. As a Principal Research Scientist in Tech Research, you will lead a small, cross-functional team focused on building AI-powered gameplay prototypes. These prototypes are not paper exercises, instead they are playable, opinionated explorations of new game mechanics, agent behaviors, and player experiences enabled by modern AI. You will be responsible for identifying promising research directions, translating them into concrete gameplay experiments, and driving them from early concept through working prototypes that influence game teams. You will be the technical and creative lead on complex, ambiguous problems where success requires strong judgment, rapid iteration, and an ability to balance research rigor with hands-on building. You will set the vision and quality bar, leading by example in various capacities, including writing code, shaping robust systems, and mentoring team members. You will lead AI-driven gameplay exploration who is tasked with rapidly testing new ideas through playable prototypes, rigorous evaluation, and real player insight. Your team will identify emerging research with the potential to meaningfully change gameplay, turn it into concrete gameplay experiments, and work with game teams to transform validated breakthroughs into options Riot can confidently commit to. Responsibilities: - Define and lead AI-powered gameplay research directions, translating emerging ML/AI capabilities into concrete, playable game prototypes - Build, lead, and mentor a small cross-functional team, setting technical direction while remaining deeply hands-on - Own research and prototyping roadmaps, milestones, and risk management for multi-quarter initiatives - Work closely with game teams to understand player goals and design constraints, ensuring prototypes are grounded in real gameplay needs - Rapidly iterate on prototypes, balancing research rigor with playability, performance, and developer usability - Stay current with academic and industry advances in AI for games, reinforcement learning, generative models, and agent systems - Communicate vision, progress, and learnings clearly to stakeholders, helping teams understand both what works and what doesn’t Required Qualifications: - MS in Computer Science or equivalent with 6+ years research experience or BS in Computer Science or equivalent with 8+ years research experience - Strong background in applied or foundational research, with experience leading projects through hypothesis-driven experimentation - 2+ years of experience in machine learning for sequential decision-making, agents, or complex systems (e.g., RL, imitation learning, planning, or hybrid approaches) - Proficiency in C, C++, or Python - Demonstrated contributions to public research (e.g., publications, talks, open-source projects) - Experience designing and implementing complex systems that integrate ML with real-time or interactive environments - Expertise with PyTorch or TensorFlow - Experience working in commercial game engines for prototyping or production - Strong understanding of gameplay systems, game loops, and real-time constraints - Experience collaborating closely w
Clean Energy and New Technology Lead
About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Industrial Compute team is central to this mission, setting the core infra strategy and implementing this vision. From site selection to the buildout process, this team sits at the intersection of commercial, technical, strategy, and operations, interacting with teams and executives inside and outside of OpenAI. About the Role The Clean Energy and New Technology Lead will own infrastructure clean energy and emerging energy technology strategy and execution, identifying and deploying scalable solutions that enable resilient, low-carbon compute and data center growth. The role will work closely with regulatory and policy teams to align infrastructure expansion with OpenAI’s long-term environmental and operational objectives. This is an individual contributor lead role and does not have direct reports initially. The role will evaluate where emerging energy technologies can materially improve reliability, cost, carbon, speed, or resilience; translate those options into practical deployment pathways; and help ensure OpenAI’s infrastructure growth remains aligned with sustainability considerations. Key Responsibilities - Evaluate emerging energy solutions such as clean firm power, advanced storage, grid flexibility, low-carbon backup power, heat reuse, water-related energy efficiency, and other scalable technologies where relevant. - Identify pilot opportunities and deployment pathways that can move promising energy technologies from concept to commercially and operationally credible execution. - Translate technical options into clear reliability, cost, schedule, carbon, regulatory, and operational implications for infrastructure decision-making. - Partner with energy regulatory, policy, procurement, engineering, deployment, finance, legal, and site-readiness teams to align technology and sustainability choices with project needs. - Track external market, policy, utility, and technology developments - Build repeatable evaluation frameworks, partner criteria, and execution playbooks for sustainability and emerging energy technology initiatives. Qualifications - 15+ years in energy technology, infrastructure sustainability, clean energy procurement, power markets, data center energy strategy, utility programs, or related roles. - Strong understanding of power systems, low-carbon energy, grid constraints, infrastructure reliability, and the practical requirements of large-scale deployment. - Experience evaluating emerging technologies, structuring pilots, or moving early-stage solutions toward commercial implementation. - Ability to balance sustainability objectives with reliability, cost, schedule, regulatory, and operational constraints. - Proven cross-functional leadership across technical, commercial, policy, and executive stakeholders. - Excellent analytical, written communication, and executive-summary skills. 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 Marketing Lead, Claude Platform - Cloud
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're looking for a Product Marketing Lead to own go-to-market for some of the highest-leverage surfaces of the Claude Platform (API). You'll lead a team responsible for the Cloud, Enterprise, and Ecosystem pillars that together shape how enterprises buy, deploy, and extend Claude. This role sits at the intersection of product strategy and commercial execution. You'll manage a team of PMMs, partner with Product to bring new products to market, arm Sales with the narratives and tools they need to win enterprise deals, and work with our cloud and ecosystem partners to drive joint launches that generate market momentum. If you've led product marketing for developer platforms, API products, or technical infrastructure, have built and coached PMM teams, and are energized by shipping new capabilities on a weekly cadence, this role is for you. Responsibilities: - Lead and develop a team of product marketers covering Cloud, Enterprise, and Ecosystem for the Claude Platform (API) - Develop and maintain a unified portfolio narrative that articulates how our products work together to serve enterprise needs - Drive product launches that generate market momentum, from flagship releases to incremental feature updates across your key pillars - Support sales enablement initiatives that equip our teams to win: battlecards, pitch materials, customer stories, and objection handling - Own content and launch strategy for partner conferences like AWS re:Invent, Google Cloud Next, and Microsoft Ignite — including keynotes, sessions, and launch moments - Lead go-to-market for MCP and the broader connectivity story that ties Claude into customer systems - Shape and execute the Claude Marketplace go-to-market, including positioning, co-marketing, and sales enablement - Partner with Product to shape roadmap priorities based on competitive intel, customer research, and field feedback - Work closely with Developer Relations, Comms, Creative, Marketing, and Sales to effectively bring new products to market You may be a good fit if you: - Have product marketing experience focused on developer platforms, APIs, or technical products with a proven track record of developing and executing go-to-market strategies for API products or developer tools, including successful product launches - multiple years of marketing developer products to developer audiences is required for this position - Have experience partnering with cloud providers (AWS, Google Cloud, Microsoft Azure) on joint product launches and driving launches across multiple platforms - Have experience leading product marketing for a portfolio of related products, including leading a small team or a cross-functional pod - Have a strong technical background with a
Senior AI Product Manager, Finance Agents
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world’s most important decisions. We’re looking for an AI Product Manager to own the Finance vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you’ll own both the development of RL environments (the realistic, high-fidelity simulations of financial software and workflows that labs use to train and evaluate agents) and the “data as a product” strategy that powers them. You’ll understand where AI is being used in the Finance industry, decide what financial tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside the Finance industry, and is able to pair that domain understanding with a sense for AI research and current agent capabilities in Finance workflows. You’ll translate that expertise into environments and datasets that teach AI agents to perform real financial work, and you’ll be the domain expert Scale’s most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You’ll Do - Own the Finance AI roadmap & data strategy: Set product direction for the Finance agents training stack and the data strategy behind it. Establish a vision for where AI is continuing to transform the Finance industry (including investment banking, private equity, public markets, corporate finance, FP&A, etc), driving execution across engineering, operations, and go-to-market teams. - Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Finance agentic capabilities fall short and shape new product lines and competitive strategy for the vertical. Connect with AI startups and industry leaders to launch joint benchmarks and build Scale’s brand in Finance. - Design and scale Finance-specific environments: Scope and build simulations of real Finance workflows and environments (financial models, investment memos, forecasts, dashboards, data rooms, etc) that let labs train and evaluate agents against real world scenarios. Partner with ML and Operations to translate the judgement, edge cases, and workflows you know from the industry into high quality training products. - Collaborate cross-functionally — influence business priorities and dive into the weeds of research, operations, and customer interactions to deliver mission-critical outcomes. Ideally, You’d Have - 3–6 years of direct experience in the Finance industry in one or more of: investment banking, private equity, trading, asset or portfolio management, strategic finance, corp dev, or a fintech product role, with real depth in how the work gets done. - AI-Forward Thinking : Quick to adopt AI solutions to streamline your day-to-day workflows and an ability to understand and articulate how it’s transforming your industry. - A builder’s mindset: excited by ambiguity and motivated to create new products from the ground up. <l
Forward Deployed Engineer - Tokyo
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel is expected in this role, mainly within Japan. To succeed in this position you must be bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production - Build full-stack systems that deliver customer value and sharpen how we learn - Embed closely with customer teams, understand their needs, and guide adoption of what you build - Scope work, sequence delivery, and remove blockers early - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery - Contribute directly in the code when progress or clarity depends on it - Codify working patterns into tools, playbooks, or building blocks that others can use - Share field feedback that helps Research and Product understand where the models succeed and where they can improve - Keep teams moving through clarity and follow-through You might thrive in this role if you - Bring 5+ years of engineering or technical deployment experience that includes customer-facing work - Have scoped and delivered complex systems in fast-moving or ambiguous environments - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience - Simplify complexity and make fast, sound decisions under pressure - Communicate clearly with engineers, product teams, and customer stakeholders - Spot risks early and adjust without slowing down - Model calm and judgment when the stakes are high About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Staff AI Engineer - Graphing
This role will join Datadog’s Data Visualization organization, a team responsible for the visualization experiences that power dashboards, notebooks, investigations, and product workflows used across the platform. The team is a highly product-oriented organization, building AI-native experiences that help customers understand, investigate, and interact with complex operational data. As a Staff Software Engineer, you will provide technical leadership in applying AI technologies to customer-facing product experiences, helping shape how users interact with Datadog through agents, conversational interfaces, and intelligent investigation workflows. You will partner across engineering and product teams to develop reliable, scalable, and trustworthy AI-powered experiences while helping establish AI engineering expertise within the broader organization. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Lead the design and delivery of AI-powered product experiences across Datadog’s visualization and investigation surfaces. - Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes. - Drive innovation in context engineering, prompt engineering, evaluation frameworks, and AI application reliability. - Partner with product and engineering teams to improve investigation workflows and help customers discover insights more efficiently. - Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments. - Provide technical leadership and mentorship while helping establish AI engineering best practices across the Data Visualization organization and broader Graphing group. Who You Are: - You have extensive software engineering experience and currently operate at or near Staff Engineer scope. - You have hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies. - You have experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence. - You approach engineering through a product mindset and can connect technical decisions to customer outcomes and business impact. - You have experience collaborating across multiple teams and influencing technical direction without direct authority. - Experience with agentic systems, conversational interfaces, AI-assisted investigations, observability, data visualization, or developer tools is a plus. Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits and Growth: - Product training to develop an in-depth understanding of our product and space - Continuous career development and pathing opportunities for internal mobility - Intra-departmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Commu
IT Engineer
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We are seeking our second IT Engineer to join our growing team in New York. Our team laid the foundation for IT at LangChain, and this role is critical to helping us mature and scale that foundation as the company grows. You'll bring deep technical expertise to our fleet management and SaaS administration, with room to shape how we manage our fleet, identity, SaaS stack, and the automation that runs the business. The ideal candidate brings startup experience, thrives in ambiguity, loves a good problem, and is excited to build scalable systems that support our global team. WHAT YOU'LL DO Infrastructure & Automation - Build and maintain our IT infrastructure and tech stack that scales with LangChain’s rapid growth - Drive automation initiatives to reduce toil and improve efficiency using scripts, APIs, and workflow tools - Implement monitoring and documentation practices that enable operational excellence Client Platform Engineering - Reimagine how we deploy, configure, and manage our Mac fleet. MDM (Iru) is the foundation, not the entire solution however. - Design and build a secure, reliable, and maintainable desktop environment that replaces our current patchwork of one-off scripts with version-controlled, testable, and repeatable systems - Own our approach to custom security controls and application deployment across the fleet, so updates and configuration changes are consistent and easy to roll out at scale - Build the fleet management systems now so they hold up as headcount, and the fleet, keep growing Security & Identity Management - Drive our identity strategy, implementing secure, scalable access controls following the principle of least privilege - Identify and implement security enhancements across our SaaS stack - Partner with our Security team to drive improvement of our enterprise security posture SaaS Administration - Administer and optimize our growing SaaS stack, managing provisioning, access controls, and lifecycle management - Become IT's central administrator for LangSmith, our own product, developing deep fluency in its administration surface - Build automated workflows for LangSmith administration using its API paired with our automation tooling, reducing manual, toil-heavy admin work - Help IT stay fluent across the internal tools we run and support, including the LLM Gateway. Another LangChain product. Core IT Operations - Provide support to employees globally across hardware, software, networking, and IT tools - Deliver great onboarding experiences for new hires, ensuring they have the right hardware, access, and setup so they can be productive from day one WHAT YOU'LL BRING - 5+ years of experienc
Staff+ Software Engineer, Backend
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 looking for experienced, product-minded engineers to own the backend systems that power user experiences across our API, Claude Code, and Claude.ai. You'll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; you'll drive alignment with product, peer engineering teams, and research to identify capability gaps and translate frontier model improvements into shipped products. You'll make architectural decisions that affect the reliability and scalability of systems serving hundreds of thousands of global users (including internal teams), and design processes that help your team operate effectively and never fail the same way twice - all while staying hands-on with the code and our models. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential: Platform Intelligence: You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack. Platform Serving: You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers. Developer Experience: You’ll focus on building products and tools to enable developers to harness the full power of LLMs to create successful, reliable, and groundbreaking applications with ease. You’ll build the tools to accelerate developers from idea to deployment. You'll help figure out how to leverage Claude to improve developer's usage of the API, such as generating and evaluating prompts while collaborating closely with the teams above to bring Claude's current and future capabilities to developers. Agentic Systems: You'll build the infrastructure and APIs that let developers create powerful agentic applications on the Claude API — including Claude Managed Agents, our managed platform for deploying and running agents in production. Your work spans the primitives agent developers depend on: tool use, multi-step reasoning, durable sessions and environments, and long-running task execution that lets Claude take actions and accomplish complex goals on a user's behalf. You'll make this platform ready for the largest enterprises to adopt, and partner with research to bring cutting-edge agent capabilities into production. Auth & Identity: We build and maintain the critical infrastructure
Senior Manager, Revenue Accounting, Order Manageme...
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're seeking an experienced Order Management & Billing professional to join our Revenue Accounting Team. In this pivotal role, you'll spearhead the development and scaling of our order management processes while solving complex, cross-functional challenges. You'll collaborate across the organization to drive critical financial infrastructure improvements. If you're passionate about making a significant impact at an innovative company at the forefront of AI development, join us in our mission to build cutting-edge, safe AI systems. Responsibilities Core Operations & Financial Management - Drive aspects of order management and billing operations, ensuring accuracy, completeness, and timeliness - Independently resolve complex billing scenarios, including contract modifications, usage disputes, and non-standard pricing structures - Lead comprehensive User Acceptance Testing (UAT) for new product launches and influence product introduction processes by providing expert guidance on billing and order management implications - Support monthly accounting close activities, including contract review, usage validation, invoice verification, journal entries, and analytics - Develop and track operational metrics to support strategic decision-making - Support global business operations and international customer requirements Strategic Partnerships & Collaboration - Collaborate closely with other pillars of the Revenue Accounting and Operations Team, including Revenue Accounting, Technical Revenue Accounting, and AR & Collections - Cultivate strategic partnerships with cross-functional teams across the Quote-to-Cash ecosystem, including GTM, Legal, Tax, Billing Engineering, and Finance Systems Process & System Optimization - Identify and implement process improvements to enhance efficiency, scalability, and overall customer experience - Partner with vendors to optimize billing systems, evaluate new features, and implement innovative solutions - Independently own the end-to-end RFP process and implementation of new systems in the order management domain, from initial requirements gathering through selection, deployment, and integration Compliance, Controls & Documentation - Establish and maintain robust controls and segregation of duties within order management and billing operations - Support audit requirements by preparing documentation and addressing inquiries - Develop and maintain documentation for team processes and procedures You may be a good fit if you have - Bachelor's degree in Accounting, Finance, or related field - 7+ years of progressive experience in Billing/Order Management within high-growth SaaS/technology companies, including 5+ years in a reviewer role - Working knowledge o
Senior / Principal Data Scientist - Discovery
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY DISCOVERY EXPERIENCES? Roblox is not just a platform; it is a complex, two-sided marketplace where millions of creators meet over 70 million daily active users. The Discovery Experiences team is the technical heartbeat of this ecosystem. We own the surfaces—Home, Search, Matchmaking, and Notifications—that determine how users navigate the metaverse. As a Data Scientist , you will own the ranking initiatives that power these canvases. You aren't just building models; you are building the economic and social frameworks that decide which experiences thrive. You will report directly to the Senior Director of Data Science and serve as a high-visibility IC leader driving the roadmap for our most critical consumer touchpoints. You Will: - Algorithmic Vision: Lead the development of ML solutions and ranking frameworks that power our discovery canvases. You will move beyond local optimizations to solve for long-term ecosystem health and user retention. - Strategic XFN Partnership: Act as the primary scientific advisor to Product and Engineering leaders. You will use data to inform, drive, and accelerate innovations via deep-dive insights and ML prototypes. - Causal Inference & Experimentation: Leverage advanced causal inference methodologies to measure the effectiveness of platform initiatives (e.g., social features or site-wide events) that are often susceptible to complex network effects. - Foundational Scaling: Develop frameworks to scale the hypothesis generation process, ensuring that our experimentation velocity matches our massive growth. - First-Principles Problem Solving: Apply creative, first-principles reasoning to ambi
Principal AI Learning & Enablement Partner
Know where you belong! Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. Match Group is seeking a Principal AI Learning & Enablement Partner to accelerate how AI is adopted and applied across the organization. This role operates at the intersection of learning, AI, and business operations – connecting brand-level innovation with scaled enablement across Match Group. You will partner closely with AI Brand Leads, business leaders, and functional teams to translate emerging AI capabilities into practical, role-specific applications that drive meaningful behavior change. This role plays a critical part in ensuring employees move beyond basic usage to more advanced, integrated applications of AI in their day-to-day work. This is not a traditional L&D role. It is a cross-brand enablement role focused on surfacing what’s working, scaling best practices, and accelerating adoption across a decentralized ecosystem. This role may travel to key hub cities including Dallas, LA, New York, Vancouver, and Paris; however will be based our of LA, Palo Alto, or San Francisco office and we work in office 3 days/week. What You'll Do Shape the AI Enablement Strategy This role is built for someone who wants to actively shape how AI takes hold at Match Group — not just execute on requests, but bring real perspective. You'll help translate business priorities into a phased, practical roadmap and be a genuine thought partner in how the company moves forward. Develop and maintain a company-wide AI learning roadmap, identifying where AI can create the most meaningful business impact across functions Serve as a strategic advisor to business leaders, translating organizational goals into targeted AI priorities and phased adoption plans Synthesize signals from across the business (adoption trends, emerging tools, team needs) to inform and evolve the enablement approach Influence how Match Group thinks about AI as a competitive capability — not just a productivity tool — and help shape the long-term vision for an AI-native workforce Partner with Business Leaders to Drive Impact Build trusted relationships with senior leaders and functional teams to understand their highest-priority challenges and co-create AI solutions Lead discovery and scoping conversations that translate business problems into concrete AI use cases with measurable outcomes Act as the connective tissue between technical capabilities and business needs — bridging what's possible with what matters Drive alignment across stakeholders on adoption priorities, sequencing, and success metrics Build & Activate AI Capability Across the Organization Own the middle layer of AI enablement — the space between introductory training and deep technical work — where real behavior change and workflow integration happen Design and deliver hands-on learning experiences grounded in real business scenarios, moving employees from basic usage to advanced, integrated application Build scalable resources — playbooks, prompt libraries, workflows, toolkits — that embed AI into how people actually work Close adoption gaps by identifying underutilizing teams and designing targeted enablement approaches, especially for non-technical employees and late adopters Partner with and coordinate internal SMEs and external vendors to deliver high-quality, role-specific training— this role enables teams to execute, it doesn’t deliver everything itself Track adoption and impact: usage, behavior change, and efficiency gains Embed
Senior AI Programmer
Senior AI Programmer at Cloud Imperium Games. German games industry role. Company category: Developer. Job category: Tech / Programming. Job type: Full-Time. Added: 13.09.2025.
Solutions Architect
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 https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, 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 https://modal.com/blog/modal-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 https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal is hiring a high-impact Solutions Architect to drive technical strategy across our most strategic enterprise accounts. You will operate as the executive technical counterpart to Enterprise Account Executives, leading complex evaluations, shaping infrastructure modernization roadmaps, and driving multi-product adoption across AI/ML workloads. This role is not demo support. It is a strategic, consultative position requiring strong architectural depth, executive presence, and the ability to influence 7–8 figure infrastructure decisions. You will work directly with CTOs, VPs of Engineering, and ML platform leaders to help them rethink how AI infrastructure should be built and operated. If you thrive in high-velocity technical sales environments and want to shape the infrastructure layer powering modern AI companies, this role is for you. WHAT YOU’LL DO: - Own the technical strategy for large, complex enterprise accounts - Partner with Enterprise Account Executives to drive 6–7+ figure opportunities from qualification through close - Lead deep technical discovery across platform, ML, DevOps, and infrastructure stakeholders - Architect end-to-end migration strategies from AWS, GCP, or Azure to Modal’s serverless infrastructure - Drive executive-level technical conversations that connect infrastructure architecture to business impact (velocity, cost efficiency, reliability) - Design and oversee proof-of-concepts that demonstrate production-grade scalability and performance - Navigate security reviews, compliance discussions, and procurement processes with confidence - Build durable relationships with technical champions and executive sponsors - Orchestrate cross-functional virtual account teams (Sales, Product, Engineering, Support) to ensure successful adoption - Influence Modal’s product roadmap by surfacing structured enterprise feedback - Mentor other Solutions Architects and contribute to technical best practices across the team REQUIREMENTS: - 5+ years in Solutions Engineering, Sales Engineering, or enterprise-facing technical roles in infrastructure, cloud, or developer platforms - Demonstrated success driving complex enterprise sales cycles ($250K+ ACV; experience with $1M+ ARR accounts strongly preferred) - Experience working with large, sophisticated Bay Area technology companies or global enterprises - Deep expertise in cloud infrastructure (AWS, GCP, Azure) including compute, networking, storage, and managed services - Strong architectural understanding of containers and orchestration (Docker, Kubernetes) - Experience designing distributed systems and production data platforms - Strong workin
Data Scientist, Codex
About the Team Codex is OpenAI’s first-party developer product focused on agentic software engineering. We’re building tools that help engineers design, write, test, and ship code faster—safely and at scale. We partner tightly with research and product to translate model advances into tangible developer productivity. About the Role As a Data Scientist on Codex, you will measure and accelerate product-market fit for AI developer tools. You’ll define what “developer productivity” means for our product, run experiments on new coding models and UX, and pinpoint where the model helps or hurts across languages and tasks. Your insights will directly shape how an entire industry builds software. 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 - Embed with the Codex product team to discover opportunities that improve developer outcomes and growth - Design and interpret A/B tests and staged rollouts of new coding models and product features - Define and operationalize metrics such as suggestion acceptance, edit distance, compile/test pass rates, task completion, latency, and session productivity - Build dashboards and analyses that help the team self-serve answers to product questions (by language, framework, repo size, task type) - Diagnose failure modes and partner with Research on targeted improvements (model quality signals, user feedback, evals) You might thrive in this role if you have - 5+ years in a quantitative role at a developer-facing or high-growth product - Fluency in SQL and Python; comfort with experiment design and causal inference - Experience defining product metrics tied to user value - Ability to communicate clearly with PM, Eng, and Design—and to influence product direction You could be an especially great fit if you have - Strong programming background; ability to prototype, run simulations, and reason about code quality - Familiarity with IDE/extension telemetry or developer tooling analytics - Prior experience with NLP/LLMs, code models, or evaluations for generative coding About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Engineering Manager - Customer Experience AI
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The CXAI Engineering team sits within Coinbase’s Consumer Engagement and Experience (CEE) organization and is reimagining crypto support through generative AI. We build systems that help customers get fast, accurate, and secure resolutions by combining intelligent orchestration, trusted context retrieval, and action across blockchain and app surfaces. We’re hiring an Engineering Manager to lead development of our AI-powered Automated Resolution platform. You will guide a team building across internal LLM-based agents and key third-party integrations, shaping the intelligence layer that understands complex issues, retrieves the right context, and takes meaningful action. What you'll do: - Drive the roadmap for our conversational AI platform, advancing from decision trees to LLM reasoning, RAG, and agentic workflows. - Lead integration of third-party AI solutions while scaling in-house LLM infrastructure for high-stakes crypto support. - Build evaluation frameworks and feedback loops to improve model accuracy, grounding, compliance, and customer outcomes. - Enable secure agent actions for workflows such as transaction troubleshooting and account recovery through internal APIs. - Define technical architecture across vector databases, prompt design, and context management to deliver personalized support. - Own operational excellence across reliability, latency, token cost, and fallback paths to human agents. Required Skills and Experience: - 8+ years of software engineering experience, including 2+ years leading high-performing teams. - Experience shipping products powered by large language models, with strong understanding of prompt engineering, fine-tuning, and the model provider landscape. - Experience building RAG pipelines and managing the data lif
Member of Technical Staff (Software Engineer, Ente...
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Enterprise Experience team builds the foundation that lets organizations bring that power to every employee with confidence, control, and scale. Enterprise Experience is the team that brings Perplexity into the workplace. You’ll build user-facing products that help organizations adopt products like Computer in practical, everyday tasks, and also guide organization admins to onboard and enable their teams to use Perplexity products effectively. Tech Stack: Python | Go | PostgreSQL | DynamoDB | AWS | TypeScript | React WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Build intelligent products across onboarding, membership management, organization insights, permissions, subscriptions, billing, and usage controls. - Build systems that help organizations manage Perplexity at scale, from first setup through expansion, making it easier for admins to onboard teams, configure features, manage usage, and understand spend. - Collaborate closely with PM, Design, Data Science, Sales, and Enterprise customers to turn complex administrative, billing, and governance needs into simple, reliable product experiences. - Own critical platform primitives end-to-end, from frontend admin flows to backend services, data models, billing integrations, observability, and production operations. QUALIFICATIONS - 4+ years of professional software engineering experience; we’re open to strong junior and mid-level candidates with a track record of shipping. - Backend / Full Stack engineering skills, with experience in designing and building scalable and reliable distributed systems, serving high traffic and a large user base. - Strong execution: you can take ambiguous product needs, break them down, and ship durable systems with clear customer impact. - Experience building product or platform features that require careful data modeling, state management, backend correctness, and high-quality user experience. - Strong product judgment; you can make complex admin, billing, and permissions workflows feel simple and intuitive. - Self-motivated with strong ownership instincts; you identify problems, propose solutions, and drive improvements without waiting for perfect specs. - Genuine interest in AI products and willingness to learn quickly. NICE TO HAVE - Experience building enterprise SaaS products, admin consoles, membership systems, RBAC/permissions, or organization management features. - Experience with subscriptions, billing systems, or usage-based pricing. - Familiarity with security, compliance, or governance concerns in enterprise products. - Experience partnering directly with Sales, Finance, Support, or enterprise customers to solve high-impact product and platform problems. - Time spent at a fast-growing startup or on a high-ownership engineering team.
Contracts Manager, EMEA
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 Contracts Manager to join our team in London. Embedded within our in-region commercial and legal operations, you'll work closely with local in-region counsel and lead counsel to support commercial and technology transactions across the region. We'll rely on you to help review, draft, and negotiate commercial and procurement contracts that support our cutting-edge AI systems. You'll also serve as a key partner in translating global legal strategy into regional execution — including supporting the triage of regional matters, rolling out process improvements and initiatives driven from global headquarters, and running local enablement sessions to keep business teams informed and aligned. You'll build scalable contracting processes and collaborate across Product, Sales, Finance, Business Operations, Research, and Procurement teams. Key responsibilities - Draft, analyze, negotiate, and complete complex commercial transactions with our enterprise customers, vendors, and strategic partners, including IP licensing agreements - Propose and develop scalable solutions to improve contracting efficiency - Collaborate with business units and legal team members to streamline contract management processes, identify potential risks, and drive continuous improvement in contract handling efficiency - Collaborate with the Product, Sales, Business Operations, Research, and Procurement teams to achieve key business objectives and deliver strategic, business-minded, and solutions-focused counsel - Partner closely with in-region counsel and lead counsel on day-to-day triage of regional legal matters, ensuring workload is prioritized effectively and seamlessly coordinated between regional and global teams - Drive the regional rollout of process improvements, policy updates, and programs initiated from global headquarters, including planning and facilitating local enablement sessions to keep commercial and cross-functional stakeholders informed and ready to execute - Pitch in across other areas of the legal function — as a small team supporting big things, each of us practices across multiple areas, and we'd love to hear where else your experience or interests could contribute Minimum qualifications - Substantive knowledge of software and SaaS agreements, reseller agreements, services agreements, strategic partnerships, and general commercial contract terms - Ability to independently draft, review, and negotiate complex commercial and procurement contracts - Experience managing the full contract lifecycle for technology transactions, sales organizations, and/or partnerships Preferred qualifications - 8+ years of related contract management experience, with at least 5 years supporting technology transactions, sales organizations,
Principal Architect
Principal Architect Location: Washington, DC About the Role We are seeking a Principal Architect to drive the design, development, and deployment of our agentic AI products in a fast-paced, collaborative, extremely high-visibility environment. In this role, you will lead a team of 50+ engineers, providing both strategic and technical guidance. You’ll be responsible for high-impact architectural decisions, cross-company collaboration, and executive level engagements. What You’ll Do - Team Leadership: Lead and mentor a high-performing engineering team of 80+, fostering a culture of technical excellence and ownership. - Technical Direction: Guide your team through complex challenges involving LLMs, AI agents, and large-scale distributed systems. - Executive Stakeholder Engagement: Represent Scale AI in high-stakes negotiations and strategic discussions with senior external partners, demonstrating strong technical competence and credibility. - Strategic Planning & Communication: Develop and communicate a compelling vision for Scale AI’s technology applied to your program. Provide regular updates to senior leadership and key stakeholders on progress, risks, and opportunities. - Culture & Teamwork: Foster a culture of speed, unity of purpose, resilience, and teamwork. Lead through uncertainty with determination and adaptability. What We’re Looking For - 10+ years of software engineering experience, including 5+ years in a technical leadership or staff role. - Deep understanding of modern AI/ML technologies, including experience working with LLMs and AI agents. - Proficient in one or more modern programming languages (Python, JavaScript/TypeScript) - Hands-on experience with Kubernetes and cloud infrastructure (AWS, GCP, or Azure). - Strong product and business sense, with a track record of aligning engineering efforts with company goals. - Ability to operate effectively in ambiguous, fast-changing environments and guide your team to do the same. - Experience in executive level engagement with industry partners and Public Sector customers Success Metrics Within 6 months: - Successful demonstration of agentic AI’s mission value in high-stakes customer demonstrations - Establish Scale AI as the preferred agentic AI partner for the PEO - Establish high velocity, agile engineering cadence both internally and with our industry partners Within 12–18 months: - Secure follow-on contract award with expanded scope for Scal
Senior Software Engineer, AI Engineer
Location: Hybrid- San Francisco OR Palo Alto Office, Tuesday/Thursday About Midi Health Midi Health is the largest virtual care clinic for women in midlife navigating perimenopause, menopause, and other hormonal transitions. We combine expert clinicians, evidence-based protocols, and a modern technology platform to deliver care that has historically been underserved by the healthcare system. We're a fast-growing, mission-driven company building the infrastructure and products that define this new category of care. How We Work - Hybrid by design. Two days a week in-office (Tuesday and Thursday) in Palo Alto or San Francisco. We believe high-trust teams are built in person and scaled remotely. - AI-native engineering. We expect every engineer to be fluent with modern AI coding tools (Claude Code, Cursor, Copilot, and similar) and to actively push the frontier of how we build software. - Low-ego, high-curiosity. We approach disagreement with humility and technical rigor, not politics. We invest in each other's growth. - Outcome-oriented. We move fast, own our work end-to-end, and balance speed with the durability that healthcare demands. The Difference You Will Make AI is reshaping how clinical care is delivered, and Midi is building the products at the frontier of that shift. You'll build AI-powered features and systems that genuinely change clinician and patient experience — from clinical workflow automation to patient-facing assistants to back-office intelligence — grounded in the realities of healthcare-grade safety and evaluation. What You Will Do - Design, build, and ship LLM-powered features end-to-end: prompt design, retrieval, tool use, agents, evaluation, and production operations - Build the evaluation harnesses and feedback loops that let us ship AI features responsibly - Integrate AI capabilities deeply into patient, clinician, and operational workflows - Partner with clinical, product, and safety stakeholders to define what "good" looks like - Contribute to our internal AI-for-engineering practices and tooling - Stay close to the research and ecosystem; bring the best of it back to the team About You - 6+ years of software engineering experience, with meaningful recent time building production LLM / ML features - Strong hands-on coding skills in Python; comfortable across the full stack when the feature demands it - Seasoned at system design for AI systems: retrieval, orchestration, caching, evaluation, cost and latency tradeoffs - Deep, hands-on command of modern AI coding tools — you're a strong follower of the frontier and apply new techniques quickly - Good mentorship instincts; generous with what you learn - Rigorous about evaluation and safety; allergic to vibes-only launches - Strong communicator; comfortable explaining model behavior to non-technical stakeholders - Low-ego, curious, humble Nice to Have - Experience with healthcare, clinical NLP, or regulated AI deployments - Experience building agentic systems or production RAG at scale Interview Process - Recruiter Screen (30 min) - Hiring Manager Screen (45 min) - Live Technical Assessment (3 sessions: 150 min)
Staff+ Software Engineer, Privacy
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is working on frontier AI systems that handle sensitive information at enormous scale. How we protect that data — and how we build privacy into our systems rather than bolting it on afterward — is central to our mission of building AI that is safe and beneficial. This is a foundational role. As one of our first dedicated privacy engineers, you will help establish the privacy engineering function at Anthropic and shape how privacy is designed into our AI systems from the ground up. You'll architect privacy-preserving systems, lead the implementation of privacy-enhancing technologies across our infrastructure, and provide technical leadership on privacy across engineering, research, and product teams. You'll work at the intersection of privacy engineering, AI safety, and distributed systems, solving problems that don't yet have established answers. This is a senior individual contributor role with high autonomy and broad influence. Key responsibilities - Design and implement privacy-preserving architectures for AI training and inference systems operating at very large scale, using techniques such as differential privacy, federated learning, and secure multi-party computation - Partner with researchers to implement privacy-preserving training methods that protect user data while maintaining model quality - Build foundational privacy infrastructure, including automated data discovery, classification, access controls, audit logging, and lifecycle management - Translate regulatory requirements (e.g., GDPR, CCPA, HIPAA, the EU AI Act) into technical implementations and automated compliance controls - Architect data governance systems for tracking data lineage, purpose limitation, and retention across distributed AI systems - Lead privacy reviews and threat modeling for new models and features, identifying risks and designing scalable mitigations - Partner with product and infrastructure teams to embed privacy controls into Claude's inference systems, user interfaces, and data pipelines - Develop privacy engineering toolkits and frameworks that enable other engineers to build privacy-preserving features by default - Design privacy-preserving analytics and measurement systems that surface useful insights without exposing individual user data - Evaluate emerging privacy technologies from academia and industry, and contribute to open-source tooling and AI privacy standards - Advise on and advocate for privacy practices as a core part of how we approach AI safety Minimum qualifications <li
Staff+ Software Engineer, Databases
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're looking for experienced engineers to build and scale the database infrastructure that powers Claude's products and Anthropic's research. As a Software Engineer on the Databases team, you'll architect and operate the systems that let millions of users interact with Claude while also supporting frontier AI research workloads. You'll help set the database strategy for Anthropic: designing systems that handle billions of API requests, building storage that runs cleanly across GCP, AWS, and a range of deployment models, and creating the reliable data layer that lets research move fast. The Databases team spans three areas: the core database platform (data plane and control plane), data movement (migrations, backfill, and change data capture), and caching. We're hiring across all three. Key Responsibilities - Drive the technical direction for database solutions used across Product and Research - Design and implement database solutions that scale to support millions of users across Claude's product ecosystem - Build and scale database systems through 100x+ growth while maintaining reliability and performance - Build the database platform that lets Anthropic engineers ship without thinking about databases or scaling. - Architect data storage solutions that operate across GCP, AWS, first-party deployments, third-party deployments, and other environments - Develop database infrastructure that serves both product and research workloads with different performance characteristics - Build data movement infrastructure (migration tooling, backfill, and change data capture pipelines) that safely consolidates and moves data across the organization - Design and operate caching infrastructure, including CDC-driven cache invalidation, that keeps Anthropic's hottest paths fast and correct - Partner with product and research teams to understand data requirements and build infrastructure that accelerates their work - Optimize database performance, reliability, and cost efficiency at scale - Make build-vs-buy decisions for database technologies Minimum Qualifications - Significant experience as a software engineer building and operating production database or storage systems - Deep knowledge of distributed database architectures and OLTP systems at scale - Proficiency with SQL and at least one major relational or distributed database engine (e.g., PostgreSQL, MySQL, Spanner, CockroachDB, DynamoDB) - Track record of leading large, complex infrastructure projects as an engineer or tech lead - Ability to balance moving quickly with the reliability needs of production systems - Strong technical leadership and cross-functional collaboration skills Preferred Qualifications - 10+ years building and scaling database systems, with 3+ years leading large-scale projects or teams - Experience scaling databases through periods of rapid growth at high-growth companies - Experience operating Spanner, CockroachDB, TiDB, AlloyDB, or other globally d
Senior Software Engineer, Full-Stack – Scale GP
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack—from React/TypeScript frontends to Python-based backends—while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment. What You’ll Do - Own major full-stack product areas , driving features from design through production deployment. - Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness. - Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components. - Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences. - Deliver experiments and new features quickly , maintaining high quality and tight feedback loops with customers. - Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP. - Adapt quickly —learning new technologies, frameworks, and tools as needed across the stack. Ideal Experience - 5+ years of full-time engineering experience , post-graduation. - Strong experience developing full-stack applications using React, TypeScript, and Python . - Experience scaling or shipping products at high-growth startups . - Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome). - Proficiency with SQL and modern API development. - Experience with Kubernetes , containerization, and microservice architectures. - Experience working with at least one major cloud provider (AWS, GCP, or Azure). 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 f
Senior Site Reliability Engineer, Core AI Infrastr...
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Senior Site Reliability Engineer, AI Transformation You'll join a high-performing team of engineers driving AI transformation at Coinbase as a Senior Site Reliability Engineer on the IT Operations team. This team builds and scales the infrastructure powering Coinbase's AI products, with direct exposure to senior leadership in a fast-paced, incubator-style environment. You'll own the reliability and automation of critical AI infrastructure, ensuring our systems are resilient, observable, and secure at scale. What you'll do: - Own the reliability, monitoring, and incident response lifecycle for AI infrastructure services, including on-call support for AWS deployment pipelines, root cause analysis, and blameless retros. - Build automation and tooling to streamline operational IT workflows, eliminate manual tasks, and improve deployment velocity across CI/CD frameworks and Kubernetes environments. - Partner with the Coinbase Infrastructure team to extend CI/CD frameworks supporting IT services and enterprise network platforms, and with Security and Compliance to integrate surveillance tooling into deployment pipelines. - Strengthen observability and documentation standards across IT engineering by defining metrics, implementing monitoring solutions, and maintaining technical documentation that sets a standard of excellence. - Develop full-stack applications that power internal AI products and infrastructure with Go or Python. Required Skills and Experience: - 5+ years of experience automating and supporting cloud infrastructure (AWS) and network environments, with hands-on use of infrastructure-as-code tools (Terraform, Ansible, Chef, Puppet, or Salt). - Proven experience deploying, managing, and troubleshooting containerized workloads using Docker and Kubernetes in production environments. - Proficiency in at least one scripting or programming language (Python, Bash, Ruby, or Go) and version control workflows using Git-based CI/CD pipelines. - Track record of leading incident response in environments with strict SLAs, including root cause analysis, blameless retros, and measurable reliability improvements. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental,
GPT Infra Technical Program Manager
About the Team OpenAI’s Industrial Compute team is responsible for building and scaling the external infrastructure ecosystem that powers advanced AI systems. We work across hyperscalers, colocation providers, cloud partners, and strategic third-party operators to turn contracted capacity into production-ready compute. Our scope spans the full lifecycle of external deployments: commercial alignment, technical readiness, network integration, hardware enablement, operational readiness, and long-range scaling strategy. As OpenAI’s infrastructure footprint expands globally, we need leaders who can convert complex partner environments into reliable, high-velocity capacity for training and inference workloads. About the Role We are seeking a Technical Program Manager for our GPT Infrastructure teams, to lead delivery of external compute capacity that directly serves OpenAI model workloads. In this role, you will own complex cross-functional programs that transform third-party infrastructure into usable tokens at scale. You will partner across engineering, capacity planning, networking, hardware, finance, product, and external providers to ensure that deployed capacity translates into real production throughput. This role sits at the intersection of infrastructure execution, systems readiness, and business impact. Success requires strong technical fluency, elite program management, and the ability to drive accountability across internal teams and external partners. This is a high-visibility role with direct impact on OpenAI’s ability to scale model training and inference globally. This role is based in San Francisco, CA, with a hybrid work model of 3 days in office per week. Relocation assistance is available. Key Responsibilities - Lead end-to-end delivery programs that convert external infrastructure capacity into production-ready token supply. - Own readiness across compute, storage, networking, security, and operational dependencies for third-party environments. - Build integrated plans across internal engineering teams and external partners with clear milestones, owners, risks, and critical paths. - Drive launch execution for new partner regions, clusters, and capacity expansions. - Create operating mechanisms that measure deployed capacity versus usable token output. - Identify bottlenecks preventing token generation (network constraints, hardware readiness, software enablement, partner delays, etc.) and drive resolution. - Coordinate with capacity planning and finance teams to prioritize the highest ROI capacity opportunities. - Establish executive-level reporting on delivery status, risks, and token ramp forecasts. - Improve repeatability of partner onboarding, technical integration, and scaling motions. - Manage escalations across internal and external stakeholders during high-severity delivery issues. - Translate ambiguous infrastructure constraints into clear execution plans. - Help define the long-term operating model for Token-as-a-Service across Stargate and 3P ecosystems. Qualifications - 8+ years of Technical Program Management, Engineering Program Management, or Infrastructure Delivery experience. - Experience leading large-scale technical programs involving cloud, data center, networking, hardware, or distributed systems. - Strong understanding of compute infrastructure, clusters, networking, storage, and production systems. - Proven ability to drive cross-functional execution across engineering, operations, finance, and external vendors. - Experience managing executive stakeholders and communicating complex tradeoffs clearly. - Strong analytical skills with ability to reason about utilization, throughput, capacity, and operational metrics. - Comfortable operating in ambiguous, fast-scaling environments. - Strong written and verbal communication skills. - High ownership mentality with bias toward action. - Experience working with external providers, strategic partners, or hyperscalers is highly preferred. Preferred Skills - Experience with GPU clusters, AI infrastructure, or large-scale model serving environments. - Familiarity with token economics, inference capacity planning, or workload scheduling. - Experience scaling global infrastructure through third-party providers. - Background in systems engineering, networking, or hardware deployment programs. - Experience building new operational models in high-growth environments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Staff Security Reliability Engineer
About the Team The Infrastructure Engineering function sits within IT and is responsible for reliably building, deploying, and operating critical on prem and hybrid environments that power internal services and critical R&D environments. This is an early, high-leverage technical role focused on applying strong Site Reliability Engineering discipline to environments where uptime, safety, recoverability, and security are non-negotiable. This person helps replace bespoke, one-off infrastructure with standardized infrastructure-as-code building blocks that compound reliability and operational leverage as OpenAI scales. About the Role We are looking for an experienced Site Reliability Engineer working on security infrastructure to design, build, and operate reliable, secure, and scalable infrastructure that underpins identity, access, endpoint, and shared platform services across the company. In this role, you will be a senior technical owner for infrastructure and identity systems end to end, from architecture and implementation through policy enforcement, upgrades, recovery, and day-two operations. You will build durable, production-grade platforms that remove operational friction, enforce security by default, and enable teams to move faster with confidence. This role is well suited for a hands-on senior engineer who thrives in ambiguity, enjoys owning complex systems end to end, and raises the reliability and security bar by replacing fragile implementations with standardized, repeatable infrastructure. This role is based in our San Francisco HQ and requires in-office presence. In this role, you will: - Design, build, and operate reliable infrastructure across on-prem, hybrid, shared, and product adjacent environments. - Establish standardized infrastructure patterns that replace bespoke implementations with repeatable, auditable, secure-by-default systems. - Own the lifecycle of critical infrastructure platforms, including provisioning, deployment, upgrades, patching, recovery, and long-term reliability. - Build infrastructure-as-code and configuration management using tools such as Terraform, Chef, and Ansible. - Mature identity adjacent and policy enforced infrastructure, including Microsoft Entra and Azure management patterns. - Build observability, alerting, and incident response mechanisms that improve availability, recoverability, and operational confidence. - Automate high-toil and high-risk workflows with guardrails, progressive rollout patterns, and safe rollback paths. - Translate incidents, design reviews, and operational learnings into durable fixes, reusable patterns, and stronger technical standards. - Influence cross-functional partners across security, identity, network, and platform teams through architecture, implementation, operational data, and clear technical writing You might thrive in this role if you: - Have 10+ years of hands-on experience operating and architecting mission-critical infrastructure in high-reliability environments - Have experience running Security Infrastructure - Have been the senior technical owner for the design and maturation of complex on-prem, hybrid, or cloud-integrated systems, setting durable architectural patterns used by multiple teams - Apply Site Reliability Engineering principles at scale, using observability, automation, and incident learnings to materially reduce risk and operational toil - Operate comfortably in ambiguity, making sound architectural decisions under pressure while staying close to technical detail - Have experience operating infrastructure for R&D or specialized labs, manufacturing, or other safety critical environments where uptime and recoverability are essential - Have experience with fleet, endpoint, or virtual desktop platforms such as FleetDM, Chef, or Azure Virtual Desktop - Have experience partnering closely with identity or security engineering teams on hardened, policy enforced infrastructure at scale About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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