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Talent Acquisition Specialist - GTM & Corporate
ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a member of the EMEA Talent Acquisition team focused on Corporate and Go-To-Market hiring, you will be instrumental in building and scaling Mistral's EMEA-based teams across both corporate functions and revenue-generating roles. Joining early means you'll help shape our recruitment strategy and operations, partnering closely with leaders across Corporate functions (Finance, Legal, People, Operations, Marketing, Communications) and GTM functions (Sales, Pre-Sales/Solutions, Partnerships, Customer Success, and Revenue Operations). Your work will directly influence Mistral's commercial and operational success by ensuring we find and engage exceptional operators who will drive Mistral's growth across the EMEA region. In this role, you'll also foster a strong candidate experience and help establish recruiting best practices as we expand across multiple EMEA markets. WHAT YOU WILL DO STAKEHOLDER PARTNERSHIP - Partner deeply with Corporate and GTM leaders — from CRO and VP Sales to Finance, Legal, and People leadership — to understand hiring needs, define role specs, and identify the right talent across multiple EMEA markets. - Own full-cycle recruitment across Corporate and GTM functions: Sales, Finance, Legal, People/HR, Marketing, and Communications roles. - Advise hiring managers on market mapping, leveling, comp positioning, and the competitive landscape for EMEA talent, accounting for local market nuances, benchmarking, and statutory differences across countries. - Translate the nuances of each role into compelling, accurate, and locally relevant candidate outreach. END-TO-END RECRUITMENT - Own the full recruiting lifecycle from sourcing to close, operating with autonomy on complex, high-volume roles across Corporate and GTM. - Source passive and active candidates across EMEA talent pools, particularly in AI/ML, open-source software, enterprise infrastructure, and regional corporate markets. - Conduct intake and calibration sessions with hiring managers to align on ideal candidate profiles and stage expectations. - Drive efficient, high-conversion pipelines and close candidates in a fiercely competitive market for senior talent across multiple geographies and languages. - Navigate cross-border hiring complexity, including relocation, remote-friendly offers, and country-specific employment frameworks. CANDIDATE EXPERIENCE & SELLING MISTRAL - Guide candidates through the hiring process with clear communication and a compelling narrative about Mistral's mission, culture, and trajectory. - Articulate Mistral's positioning in the AI landscape — frontier models, open-weight philosophy, and enterprise credibility — to differentiate us against better-known competitors. - Provide candidates with real insight into our GTM motion, corporate operations, growth plans, and the specific impact of their role. - Deliver a high-quality, respectful candidate experience at every stage, regardless of outcome. RECRUITING OPERATIONS & DATA-DRIVEN IMPROVEMENT - Develop and refine recruiting processes, tools, and documentation to improve outcomes and efficiency. - Use data to diagnose pipeline issues (e.g., drop-off at specific stages, time-to-fill by role, offer acceptance rates) and propose targeted solutions. - Build and maintain market maps, competitive intel, and talent pools for key EMEA Corporate and GTM segments. - Standardize interview rubrics, scorecards, and debrief practices across EMEA hiring teams, while respecting local market and language differences. RAISING THE BAR - Collaborate with Corporate and GTM leadership and the broader Talent team to continuously elevate our hiring standards. - Contribute to defining and evolving our EMEA talent acquisition strategy as we scale from early team to a mature, multi-region organization. - Partner on employer-brand and outbound sourcing initiatives that position Mistral as a destination for top Corporate and GTM talent in EMEA. WHAT WE'RE LOOKING FOR - 6+ years of recruiting experience, including 2+ years in a startup or high-growth B2B SaaS/infrastructure company, with a focus on Corporate functions and/or Sales/GTM roles. - Demonstrated ability to independently hire across the full GTM stack — from Enterprise AE’s to GTM leadership — as well as key Corporate functions (Finance, Legal, People, Marketing, Operations). - Deep network and sourcing expertise in EMEA talent markets, particularly in AI/ML, open-source, developer tools, or enterprise software. - Track record of hiring in competitive, candidate-scarce markets where candidates have multiple offers, including cross-border and multi-language hiring. - Experience working across multiple EMEA markets and comfort with country-specific comp, benefits, and employment nuance. - Willingness to work on other roles as needs come up. - Comfort navigating ambiguity and switching between strategic planning and hands-on execution. - Strong written and verbal communication skills, with the ability to influence peers and senior stakeholders without direct authority. - Organized, detail-oriented, and able to juggle shifting priorities across a high-volume hiring slate spanning two function families. - Professional experience with modern recruiting tools such as Ashby. - Familiarity with the AI/ML landscape and the ability to credibly discuss frontier model capabilities with technical GTM and corporate candidates. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Talent Attraction and Employer Brand Specialist
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Cohere is in a unique and exciting position to grow our go-to-market teams globally! We are expanding our Talent Team and are looking for a creative, high-performing Talent Attraction and Employer Brand Specialist to help us build a world-class employer brand that attracts top frontier AI talent. In this role, you will shape how Cohere is perceived by the global AI community and drive strategic recruitment marketing initiatives that position us as the destination for ambitious researchers and engineers. Please Note: We have offices in Toronto, San Francisco, and London but embrace being remote-first! As a Talent Attraction and Employer Brand Specialist, you will: - Develop and execute comprehensive brand strategy that defines and promotes Cohere's identity, culture, and technical leadership to target talent groups - Run multi-channel recruitment marketing campaigns across social media, job boards, and search engines to reach priority candidates - Create compelling content including job descriptions, employee success stories, and optimized career site landing pages - Optimize and maintain our career site experience while tracking engagement through candidate relationship management tools - Analyse campaign performance metrics including cost-per-hire, application conversion rates, and ROI to continuously refine our approach - Partner with Marketing, Communications, and Research teams to ensure consistent messaging across all candidate touchpoints - Monitor competitor employer branding strategies and identify opportunities to differentiate Cohere - Collaborate with hiring teams to develop targeted recruitment campaigns for specific roles and departments About you; - You have demonstrable (6+ years) experience in employer branding, recruitment marketing, or talent attraction - You have a proven track record of developing and executing successful multi-channel campaigns - You're skilled in content creation with portfolio examples of compelling job descriptions and employee narratives - You have experience with candidate relationship management tools and career site optimization - You're data-driven with experience tracking and analyzing recruitment metrics - You're creative and strategic, able to balance brand consistency with campaign innovation - You're passionate about AI/ML and understand the talent landscape in this field - You're collaborative with excellent cross-functional partnership skills - You're comfortable working in a fast-paced, evolving startup environment FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Staff Product Engineer
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. ABOUT THE ROLE We’re looking for a Product Engineer to join our team and help us build cutting-edge, AI-powered video creation and collaboration tools. Rather than specialists, we’re seeking curiosity-driven engineers who are thoughtful problem solvers and thrive in fast-paced, high-ownership environments. Our engineering team is highly collaborative and works on a wide variety of exciting challenges, including developing new interfaces for AI content creation, building LLM-powered features and conversational experiences, and deploying cutting-edge computer vision and generative models to production. A PEEK AT OUR TECHNICAL STACK The rich UI of our generative AI tools is powered by TypeScript and React with MediaBunny driving in-browser media and React Flow powering our node-based creative workflows. Our API endpoints for user and media management are written in TypeScript and Node.js and deployed as containerized services on AWS ECS Fargate. We leverage AI APIs to power advanced generative capabilities. WHAT YOU’LL DO - Create rich multimedia interfaces using the cutting-edge of the latest AI video generation models Gen-4.5 and Aleph 2.0 - Build end-to-end full-stack AI-powered product features — designing and developing both frontend experiences and backend systems, including authoring server-side processes and APIs that power our generative AI tools - Design and implement LLM-powered features and conversational interfaces - Partner with a world-class engineering team pushing the boundaries of creativity and content creation on the browser - Take on new challenges across the Frontend stack to implement product features for Runway’s machine learning-based generative AI tools - Improve the performance, reliability, and code quality of our codebases WHAT YOU’LL NEED - 5+ years of industry experience in a software engineering role, ideally full-stack focused - Demonstrated fluency in one or more programming languages, including but not limited to JavaScript/TypeScript - Experience building with third-party AI APIs (e.g., chatbots, LLM integrations) - Experience in architecting production-ready systems and familiarity with debugging and profiling tools - Ability to rapidly prototype solutions and iterate on them with tight product deadlines - Humility and open-mindedness; at Runway, we love to learn from one another Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Senior Customer Engineer, Named - Seattle
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Seattle, WA About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. We’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. For Washington based hires: Estimated annual salary of $202,000 - $278,000. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Senior Customer Engineer, Named - LA
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Los Angeles, CA About the Role At Cloudflare, we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion. Sitting within the GTM organization and reporting to the Regional Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, utilizing AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical discovery, build bespoke architectures, and deliver compelling product demonstrations and Proof of Concepts (PoCs) across Cloudflare’s portfolio (Security, Networking and Developer Platforms). - Customer Adoption & Value Realization: Lead and/or provide oversight to technical onboarding and implementation, serving as the primary executive and engineering contact for the customer. You will partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. You will proactively monitor dynamic customer health scores and telemetry to ensure rapid time-to-value and resolve integration bottlenecks. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. You will be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. - AI Orchestration & Workflow Automation: Act as an "AI-Augmented" engineer. Leverage AI agents and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, and basic telemetry monitoring, reclaiming your time for strategic customer advisory. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Sales Engineering, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Technical Acumen: Broad technical expertise spanning web security, networking (routing, DNS, DDoS mitigation), cloud infrastructure, and enterprise architecture. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Strongly Preferred Qualifications (The "Good-to-Haves") - Cloudflare AI Stack Experience: Hands-on experience building, deploying, or architecting solutions using Cloudflare's developer platform and AI ecosystem, specifically Workers AI, AI Gateway, and Vectorize. - Applied AI Knowledge: Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures. - Coding/Scripting: Proficiency in Python, JavaScript, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Compensation This role features a competitive base salary and a variable commission structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. Compensation Compensation may be adjusted depending on work location. This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. For California based hires (Except San Francisco): Estimated annual salary of $202,000 - $278,000. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Senior Customer Engineer, Named - Houston, TX
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Houston, TX About the Role At Cloudflare, we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion. Sitting within the GTM organization and reporting to the Regional Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, utilizing AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical discovery, build bespoke architectures, and deliver compelling product demonstrations and Proof of Concepts (PoCs) across Cloudflare’s portfolio (Security, Networking and Developer Platforms). - Customer Adoption & Value Realization: Lead and/or provide oversight to technical onboarding and implementation, serving as the primary executive and engineering contact for the customer. You will partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. You will proactively monitor dynamic customer health scores and telemetry to ensure rapid time-to-value and resolve integration bottlenecks. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. You will be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. - AI Orchestration & Workflow Automation: Act as an "AI-Augmented" engineer. Leverage AI agents and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, and basic telemetry monitoring, reclaiming your time for strategic customer advisory. Desirable Skills, Knowledge, and Experience - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Sales Engineering, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Technical Acumen: Broad technical expertise spanning web security, networking (routing, DNS, DDoS mitigation), cloud infrastructure, and enterprise architecture. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Bonus Points - Cloudflare AI Stack Experience: Hands-on experience building, deploying, or architecting solutions using Cloudflare's developer platform and AI ecosystem, specifically Workers AI, AI Gateway, and Vectorize. - Applied AI Knowledge: Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures. - Coding/Scripting: Proficiency in Python, JavaScript, or similar languages to write custom integration scripts, API connectors, and edge computing functions. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Principal Customer Engineer
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations - Switzerland Responsibilities The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. - This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Desirable Skills, Knowledge, and Experience - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. - Business Fluency in German Bonus Points - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Senior Applied Scientist - AI Platform
AI Platform builds the foundations of Datadog's AI efforts. The org is 70+ people organised in three pillars: training and serving (GPU clusters, distributed training, low-level infrastructure), agents (agent harnesses, memory systems, the internal AI gateway that routes every LLM request at Datadog), and evaluation and experimentation. This role sits in the evaluation and experimentation pillar, which owns Datadog's shared annotation and evaluation infrastructure — including the evaluation scenario store and the telemetry archival systems used across the Bits org. Together they let an agent travel back in time and query what Datadog looked like at the exact moment an incident happened, so scenarios can be replayed and agent performance tracked over time. Specifically, you'll be the first applied scientist on GenSim (Generative Simulations), the team that builds the environments Datadog's agents learn in. GenSim doesn't replay sampled telemetry — it stands up real, fully instrumented applications that talk to Datadog, drives them with representative traffic, injects controlled failures, and records what happens. Because GenSim injected the failure, it knows the ground truth. That corpus — hundreds of postmortem-derived scenarios and thousands of runnable applications — is today the primary source of post-training data for Datadog's own SRE model, and the substrate that Bits AI SRE and our other agents are trained and evaluated against. The team has no applied science support today and is learning post-training data methodology on the fly. That's the gap this role fills, and the open questions are the interesting part. How do you tell whether a generated environment is actually representative of the messy, incomplete telemetry real customers run — rather than a suspiciously clean one where every monitor exists and every service emits complete logs? How do you make injected problems genuinely hard, and how do you even measure difficulty? How do you define and control the quality of post-training data when correctness, representativeness and difficulty pull in different directions? How do you evaluate an agent end to end when the trajectory is non-deterministic? Creating simulated agent environments for monitoring and SRE work is not well solved in open source or in published research, and Datadog is the leading company in this field. If those are the problems you want to spend your time on, come build this with us. What You'll Do: - Own the applied science direction for GenSim: set the methodology and the forward-looking technical calls on how simulated environments and post-training data should be built, on a team where that decision-making does not exist yet. - Define, measure and raise the quality of post-training data — basic correctness, representativeness against the real distribution of customer systems and production telemetry, and difficulty — and make those measures something the team can act on release over release. - Close the realism gap. Simulated environments today are too clean and the injected problems are not yet hard enough; you'll drive the research and the engineering that make them look like real, imperfect production systems. - Build scalable, production-grade systems rather than research scripts. The output is not just a dataset — it is a system of synthetic environments that must be reliable and invokable inside a training loop. - Determine how this data is best applied, in LLM post-training and in evaluation, and own the agent and LLM application evaluation approaches for these environments. - Work cross-functionally with the engineers and applied scientists on adjacent teams — Bits AI SRE, the model training effort, and the wider evaluation and experimentation pillar — so that what you learn moves freely in both directions. Who You Are: - You have a PhD, MS or equivalent research experience in a scientific field, with strong applied mathematics grounding. - 6+ years of relevant applied science or ML engineering experience, including setting technical direction for others. - You have hands-on experience with LLM and agent post-training data: how it is created, managed, and how training-data quality is controlled. This is the requirement that matters most. - You have real domain expertise in LLMs and agentic applications — not classical ML fine-tuning. Fine-tuning classifiers or traditional models is a different problem from the one this team is solving. - You have evaluated agents or LLM applications, and can define what 'good' means before you measure it. - You are a strong programmer and production software engineer. Python at minimum, plus the ability to ship scalable production systems and work with distributed systems. - You collaborate well across engineering and science teams, and you're comfortable being the domain expert who decides what comes next. - You thrive in ambiguity and can make sound technical calls when the path isn't yet defined. Bonus Points: - Hands-on LLM fine-tuning, post-training or model training experience. - Background in statistics, experiment design and data analysis. - Experience deploying production-level ML infrastructure. - Observability or monitoring systems background. - Architecture-level understanding of LLMs. Benefits & Growth: - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development, product training, and career pathing - Intra-departmental mentor and buddy program for in-house networking - An inclusive company culture and the ability to join our Community Guilds - Access to Inclusion Talks, our internal panel discussions - Free, global Spring Health benefits for employees and dependents age 6+ - Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
Senior Product Designer, Agentic Trading
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. We’re hiring a Product Designer for Agentic Trading, a fast-moving team building the future of automated trading at Robinhood. The Agentic team works across product design, creative, engineering, and research to make powerful AI-driven trading experiences accessible to consumers around the world. The Agentic Trading team sits at the core of Robinhood’s brokerage business, building products that help millions of customers make financial decisions. We take an AI-first approach to how we design, using interactive prototypes early to explore ideas, test interactions, and iterate quickly while maintaining the highest bar for craft. You’ll work closely with product managers, engineers, researchers, and brokerage leadership to turn emerging technology into thoughtful, intuitive experiences grounded in user needs and measurable outcomes. As a Product Designer, you’ll help define the interaction models and shared patterns for agentic products at Robinhood, setting a high bar for experiences that can extend across the broader ecosystem. You’ll lead design from early exploration through launch, shape product direction, and turn ambiguous problems into simple, trustworthy experiences. This role requires someone who can move fluidly between strategic thinking and hands-on execution, communicate ideas clearly with leadership, and navigate the unique challenges of designing AI-powered products in a regulated financial environment. This role is based in our Bellevue, WA, Menlo Park, CA, and New York, NY office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do - Lead end-to-end design for trading products from early concepts through launch - Collaborate with product creative, product managers, engineers, and researchers to define product direction and user experience - Use large language models to explore product ideas, clarify user needs, and outline initial approaches, helping your team align quickly on direction - Create and iterate on prototypes, shaping flows and interactions while partnering with engineers to bring the strongest concepts into production - Translate complex financial and AI-driven concepts into clear, intuitive user interfaces - Present design work to cross-functional partners and leadership, incorporating feedback into iterations - Ensure designs meet quality standards, align with regulatory requirements, and support user trust What you bring - You have experience designing consumer-facing digital products, ideally mobile-first experiences - You actively use tools like ChatGPT, Gemini, or similar LLMs as part of your design workflow - You are comfortable experimenting with AI-assisted development tools (such as Clause Code), even if you are not writing production-level code - You can take projects from ambiguous problem spaces to clear, executable design solutions - You communicate design decisions effectively to cross-functional partners and leadership - You have experience working in regulated environments or on financial products (preferred) What we offer - Challenging, high-impact work to grow your career - Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching - Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents - Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more - Employer-paid life & disability insurance, fertility benefits, and mental health benefits - Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $166,000 - $195,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $146,000 - $172,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $129,000 - $152,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Staff Product Engineer, Enterprise AI
Why Thunderbird? Thunderbird is one of the world’s most trusted open-source email applications, empowering more than 20 million people globally. At MZLA, the team behind Thunderbird, we build privacy-respecting communication and productivity tools that help people manage their digital lives while staying in control of their data. We are open source by design. Our products are developed transparently and in collaboration with a global community of contributors, and that same spirit shapes how we work: collaboratively, inclusively, and with a shared commitment to putting users first. We are a small but growing company of 60+ people distributed across seven countries. As Thunderbird evolves beyond a single desktop application, we are expanding across desktop, mobile, paid services, and new product experiences that help people and organizations work more effectively without giving up control to big tech ecosystems. Our revenue model combines user donations, which help keep Thunderbird’s apps freely available, with paid services that cover the costs of hosted offerings while supporting long-term sustainability and continued innovation. A note about MZLA and Mozilla: MZLA Technologies Corporation is the nonprofit-owned company behind Thunderbird and part of the Mozilla family. MZLA is separate from Mozilla Corporation and has its own compensation programs, benefits, and employment policies. To learn more, visit www.thunderbird.net and www.thunderbolt.io. The opportunity Thunderbolt is an open-source, cross-platform AI product initiative from the team behind Thunderbird. It is being built around a clear principle: people and organizations should be able to use AI while staying in control of their data, infrastructure, model choices, and long-term options. Thunderbolt is designed to support flexible deployment models, integrations with AI tools and workflows, and use cases across desktop, web, and mobile. We’re looking for a Staff Product Engineer to help build Thunderbolt as it moves from early product development into enterprise use cases. This role sits at the intersection of full-stack product engineering, AI-enabled product development, enterprise workflows, technical execution, product judgment, and post-launch iteration. You’ll work across the stack to turn product direction, user needs, partner feedback, and enterprise requirements into complete product features for AI-powered chat, search, research, workflow automation, administration, integrations, and enterprise workflows. This is not a role focused only on implementing tickets. You’ll own product work from concept through launch, adoption, and iteration, helping the team understand whether features are usable, reliable, being used, and creating value. You should be comfortable operating independently in ambiguity, working across front-end, back-end, APIs, integrations, and infrastructure-adjacent areas, and making thoughtful tradeoffs between speed, usability, maintainability, reliability, and enterprise needs. Strong candidates will be able to turn ambiguous product ideas and technical direction into shipped product experiences, reusable product and engineering patterns, and practical improvements that help Thunderbolt scale as both an open-source product and an enterprise-ready platform. What you’ll do - Own the implementation of Thunderbolt product features from concept through launch, adoption, and iteration. - Translate product vision, user needs, partner feedback, and enterprise requirements into practical technical plans and shipped product experiences. - Work across the stack to build, integrate, test, and ship complete product features. - Build features for AI-powered chat, search, research, workflow automation, administration, integrations, and enterprise workflows. - Partner closely with product, design, engineering, enterprise-facing teams, and open-source contributors to clarify requirements and deliver high-quality outcomes. - Collaborate with senior technical leadership to turn product-shaping technical direction into executable product work. - Use AI-assisted development tools thoughtfully to accelerate implementation while maintaining strong judgment around quality, security, maintainability, and reliability. - Make thoughtful technical and product tradeoffs in ambiguous situations, balancing speed, usability, maintainability, reliability, and enterprise needs. - Follow through after launch by reviewing usage, qualitative feedback, support signals, quality issues, and adoption patterns. - Instrument features or collaborate on measurement approaches that help the team understand adoption, reliability, and product value. - Identify product gaps, technical risks, edge cases, and opportunities to improve the user experience. - Write clear, maintainable, well-tested code across front-end, back-end, APIs, integrations, and infrastructure-adjacent areas. - Help establish reusable product and engineering patterns that allow future features to be built more efficiently. - Contribute to a product engineering culture grounded in ownership, quality, experimentation, user value, and practical execution. What you bring - 10+ years of professional software engineering experience, including significant experience building and shipping production applications with Staff-level scope, leadership, and impact. - Strong full-stack engineering skills, with the ability to work across user interfaces, APIs, services, integrations, data flows, and infrastructure-adjacent areas. - Demonstrated experience owning complex product features from technical planning through implementation, launch, evaluation, and iteration. - Experience building AI-enabled products or features, with practical familiarity in LLMs, RAG, agents, model/provider abstraction, data connectors, retrieval systems, or AI application architecture. - Practical experience evaluating and using multiple AI tools, models, frameworks, or development harnesses, with the ability to explain tradeoffs, limitations, and preferred tooling choices. - Experience working with open-source enterprise products, developer tools, infrastructure products, platform products, or technically complex enterprise software. - Strong product judgment, including the ability to translate product direction, user feedback, partner input, customer needs, and product signals into practical technical plans and follow-up iterations. - Comfort operating independently in a fast-changing product environment where product direction, technical architecture, and enterprise requirements are still being defined. - Strong understanding of software quality, testing, maintainability, security, performance, reliability, and implementation tradeoffs. - Strong collaboration and communication skills across engineering, product, design, open-source, and customer- or partner-facing stakeholders. - Awareness of enterprise software needs, including privacy, security, administration, access control, compliance, deployment flexibility, supportability, and responsible AI considerations. Bonus points for - Experience with self-hosted, hybrid, customer-controlled, or regulated deployment environments. - Familiarity with regulatory or compliance considerations affecting AI and enterprise software, such as the EU AI Act, Cyber Resilience Act, GDPR, HIPAA, SOC 2, or similar frameworks. - Experience working with enterprise customers, public sector organizations, systems integrators, technical partners, or customer-facing engineering teams. - Experience contributing to reusable product patterns, component libraries, technical frameworks, or shared engineering practices. - Experience with instrumentation, observability, experimentation, or other approaches to understanding product adoption, reliability, and value. What success looks like In this role, success means helping Thunderbolt turn ambiguous product ideas, technical direction, user needs, and enterprise requirements into complete product capabilities that are usable, reliable, maintainable, and valuable. You will help the team move quickly while also building the patterns, feedback loops, and product quality needed for Thunderbolt to scale as both an open-source product and an enterprise-ready platform. Over time, successful work in this role will lead to: - Shipped features that solve real user, partner, and enterprise needs. - Stronger full-stack product capabilities across AI-powered chat, search, research, workflow automation, administration, integrations, and enterprise workflows. - Clearer technical plans that translate product direction and enterprise requirements into executable work. - Better post-launch understanding of whether features are being used, working as intended, and creating value. - More reusable product and engineering patterns that help future features move faster. - Fewer product gaps, edge cases, and technical risks discovered late in development. - Stronger alignment between product, design, engineering, enterprise-facing teams, and open-source contributors. - Greater confidence that Thunderbolt features are secure, maintainable, supportable, and ready for enterprise use. Work environment You’ll work with our passionate staff and open-source community members from all over the globe to support the mission and objectives of MZLA Technologies Corporation. In this role, you’ll also collaborate closely with engineering, product, design, enterprise-facing teams, contractors, and external contributors working on Thunderbolt. This is a remote, full-time position. Strong communication and documentation skills are essential for effective collaboration across time zones and disciplines. Compensation & benefits We benchmark our base salaries to local markets and target the 60th percentile of the peer market. The salary ranges for this role are: - Canada: $155,000 - $185,000 CAD - US: $185,000 - $220,000 USD We may consider candidates with strong skills but less than the required experience. Title, level and compensation will be determined based on qualifications and experience. In addition to competitive salaries, we offer a comprehensive benefits package designed to support your whole self. Work & career - Fully remote work & schedule flexibility - Company-provided laptop - Annual bonus program - Monthly remote work stipend - Annual professional development stipend - Access to Coursera l earning platform - Industry conferences - Company all-hands and team gatherings Rest & play - 24 days PTO per year (prorated) - Your birthday - Year-end company shutdown - 9 wellbeing days - Public holidays - Other paid leave - Quarterly wellbeing stipend for personal / family activities Health & family - 401(k) / RRSP contributions - Health, dental, & vision insurance - Disability insurance - Life insurance - Employee assistance program - Paid parental leave - Paid sick days Work eligibility Applicants must reside in and have permanent work authorization for the country location(s) specified in the posting. We are unable to consider applicants outside of these markets at this time. And, we do not provide visa sponsorship. How to apply Please apply directly through our career page . We carefully review every cover letter and screening question, so take the time to answer each fully. We value authentic, thoughtful responses that reflect your own experience and perspective. It is fine to use AI tools to polish your writing, but your answers should be your own. Candidates who submit generic or unoriginal AI-generated responses may be disqualified from further consideration. Our commitment to diversity, equity, and inclusion MZLA believes in the value of diverse creative practices and forms of knowledge, and knows diversity, equity and inclusion are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions. We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. MZLA will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose. We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodations@thunderbird.net to request accommodation. LI-DNI
Senior Engineering Manager - Agent Experience
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Customer Experience Engineering team at Robinhood sits at the intersection of cutting-edge AI and real human impact. We build the systems that power how millions of customers get support — from intelligent chatbot deflection and ticketing tools to a first-of-its-kind private wealth product called Concierge, designed for high-net-worth customers. Our team of engineers spans iOS, Android, web, backend, and LLM/AI specializations, working closely with dedicated product managers and data scientists to ship products that set a new bar in the fintech space. We move fast, we iterate, and we take quality seriously. As the Senior Engineering Manager for Agent Experience, you'll own the engineering execution of one of Robinhood's most ambitious and high-visibility zero-to-one products. You'll lead a team of engineers building premium, AI-powered features — natively within the Robinhood app for our highest-value customers. This role requires a leader who is comfortable navigating ambiguity, aligning closely with product leadership, and delivering reliably in a fast-moving environment with executive visibility. You'll be a key voice in shaping both the technical direction and the culture of this team! This role is based in our Menlo Park, CA office, with in-person attendance expected 5 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What You'll Do - Lead and develop a high-performing engineering team of ~15, owning hiring, performance, and career development across the full stack (iOS, Android, web, backend, and LLM/AI) - Partner closely with product managers and data scientists to define and execute the Concierge product roadmap, from initial scoping through launch - Drive delivery of complex, zero-to-one product features — including AI-powered financial planning tooling - Navigate ambiguity and product direction changes with clarity and composure, maintaining team focus and momentum through shifting priorities - Represent the engineering team in executive-level discussions, communicating progress, risks, and tradeoffs clearly to senior leadership and the C-suite - Establish proactive quality measures, reliability standards, and engineering best practices suited to a high-risk, customer-facing product - Champion a culture of accountability, technical excellence, and continuous improvement within your team What you bring - 8+ years of software engineering experience, with 3+ years in an engineering management role leading teams of 10 or more - Demonstrated track record leading user-facing product development, ideally in consumer fintech, wealth management, or a high-stakes customer experience domain - Experience building or scaling zero-to-one products, including navigating high ambiguity and frequent direction changes - Strong cross-functional partnership skills — you've worked closely with product managers to define roadmaps and translated business goals into clear engineering plans - Comfort presenting to and engaging with senior leadership and C-suite stakeholders, including managing expectations in high-visibility settings - Proven ability to build and maintain service reliability standards and proactive quality practices on consumer-grade systems - Familiarity with LLM/AI systems, or experience working alongside teams building AI-powered features - Excellent communication skills — written and verbal — with the ability to create clarity from complexity Nice to have: - Experience in regulated financial products or familiarity with wealth management offerings (tax, estate planning, etc.) - Background in both platform/infrastructure and product engineering, enabling strong technical breadth across the stack - Experience supporting a team through organizational transitions or leadership changes Leadership Expectations Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here's what we expect from them: Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, dedication, and technology. Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly. Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity. What we offer - Challenging, high-impact work to grow your career - Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching - Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents - Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds. - Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not. - Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more - Employer-paid life & disability insurance, fertility benefits, and mental health benefits - Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $264,000 - $310,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $264,000 - $310,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $264,000 - $310,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Lead Product Designer, Growth
Perplexity is looking for an experienced Lead Product Designer to own design for Growth. You'll shape the experiences that bring Perplexity to as many people as possible — making software that feels like the future but can be understood and used by anyone in the world today. Growth design has its own craft and nuance. You'll own the highest-leverage moments in the user journey: first-run onboarding and activation, consumer acquisition surfaces, conversion and upsell flows, paywalls and pricing, and the retention loops that turn first-time users into daily ones. This is design where a few pixels or a single step can move real numbers, so you'll pair a high craft bar with rigorous experimentation — shipping constantly and letting real data guide the work. You care about clarity, craft, details, and delight as much as you care about growth and impact. This role is deeply cross-functional: you'll partner closely with our Growth and Product Marketing teams to align on positioning, messaging, and funnel strategy, and you care about everything it takes to make a product great: product, interaction, brand, growth, copywriting, engineering, and marketing. WHAT YOU'LL DO - Lead product design for Growth across the full funnel — acquisition, onboarding, activation, conversion, upsells, and retention - Design first-run and onboarding experiences that get users to value as fast as possible - Craft consumer acquisition and activation surfaces, and conversion/upsell flows including paywalls, pricing, and plan comparison - Partner closely with Growth and Product Marketing on positioning, messaging, landing experiences, and funnel strategy - Design and run experiments, using data and real usage to drive decisions and measure impact - Ship features that balance well-established UI paradigms with novel applications of AI - Think about how to go from 0→1 but also how to make your decisions scale well - Contribute to process so we're always shipping changes you're proud of, as often as possible - Partner with brand design to ensure our growth surfaces are not only effective but memorable WHAT WE'RE LOOKING FOR - Experience designing consumer or prosumer products, with a strong track record in growth design - Deep understanding of growth nuances: onboarding, activation, acquisition, conversion, upsells, paywalls, pricing, and retention - A data-informed approach — fluent in experimentation, funnels, and metrics, and comfortable learning from usage - Experience partnering with Growth, Product Marketing, and cross-functional teams on messaging and funnel strategy - Comfortable thinking about both 0→1 product design and large-scale optimization - Excellent visual, UI, and interaction skills - An excellent communicator with team members and users - You care about shipping great software more than anything else - 5+ years of industry experience NICE TO HAVE - Comfort prototyping or coding your ideas - Some of our design team writes production code — we welcome existing skills or interest in coding with React or SwiftUI
Lead Product Designer, Enterprise
Perplexity is looking for a Lead Product Designer to own the design of our enterprise product. You'll design new experiences across enterprise and multiplayer use cases — making software that feels like the future but can be understood and used by anyone in the world today. These surfaces are net-new and, in many cases, unprecedented. You'll be building them 0→1, which means bringing deep knowledge of how enterprise software actually works: organizational and seat management, and deeply nuanced role-based experiences that account for workplace policy, compliance, administrative management, privacy, permissions, and security. You'll ship features that balance well-established UI paradigms with novel applications of AI, working independently and strategically to find both the problems worth solving and the solutions worth shipping. Good design that nobody gets to use is wasted, so you'll optimize for getting great software into customers' hands and learning from real usage. You'll work closely with product, engineering, and the broader design team, and you care about everything it takes to make a product great: product, interaction, brand, growth, copywriting, engineering, and marketing. WHAT YOU'LL DO - Design net-new, 0→1 enterprise surfaces across enterprise and general multiplayer use cases - Design for the realities of enterprise software: organizational management, seat management, admin controls, permissions, privacy, security, and compliance - Craft deeply nuanced role-based experiences that adapt to workplace policy and different levels of access and responsibility - Ship features that balance well-established UI paradigms with novel applications of AI - Make software that feels like the future but can be used and understood by anyone in the world today - Work independently and strategically — finding the problems and the solutions - Own work end-to-end, from 0→1 product design through large-scale optimization - Contribute to process so we're always shipping changes you're proud of, as often as possible - Partner with brand design to ensure the enterprise product is not only useful but memorable WHAT WE'RE LOOKING FOR - Experience designing enterprise, consumer, or prosumer products - Deep knowledge of enterprise software: organizational and seat management, role-based access, admin management, permissions, privacy, security, and compliance - Experience designing non-deterministic tools used by large workplace cohorts — eg.Figma, Slack, Ramp, Airtable - Comfortable thinking about both 0→1 product design and large-scale optimization - Excellent visual, UI, and interaction skills - An excellent communicator with team members and users - Comfort prototyping or coding your ideas - You care about shipping great software more than anything else - 5+ years of industry experience NICE TO HAVE - Some of our design team writes production code — we welcome existing skills or interest in coding with React or SwiftUI
Field Marketing Manager
Great products grow when people experience their value firsthand. We are looking for a Field Marketing Manager to design and scale programs that turn in-person engagement into enterprise pipeline. You will manage a full range of third-party sponsorships and Perplexity-led field events that drive awareness, deepen relationships with senior buyers, and accelerate opportunities. You will join a small field marketing team as an equal partner, working together to divide the portfolio based on company priorities, capacity, geography, and each person's strengths. This is a hands-on role for someone who can set the strategy and execute every detail. You will work closely with Sales, Product Marketing, Growth, Partnerships, and Customer Success to identify the right audiences, build programs around their needs, and turn each event into measurable business impact. The ideal candidate is a field marketing generalist who is equally comfortable evaluating a sponsorship, building a regional plan, hosting an executive dinner, working a conference floor, and analyzing pipeline conversion afterward. You may bring deeper experience in sponsored events or owned programs, but you should be ready to operate across both. RESPONSIBILITIES - Co-own the field marketing strategy. Work as an equal partner on a two-person field marketing team to build the portfolio around company priorities, target accounts, sales territories, product launches, and pipeline goals. Divide and conquer across programs while maintaining shared standards, visibility, and accountability. - Turn field engagement into pipeline. Design every program around a clear audience, business objective, conversion path, and follow-up plan, from pre-event outreach through opportunity creation and deal acceleration. - Own third-party event sponsorships. Evaluate conferences and sponsorship opportunities, recommend where Perplexity should invest, negotiate and activate packages, coordinate speakers and on-site presence, and build the pre-event and post-event motion required to produce a return. - Run high-impact Perplexity events. Own executive dinners, vertical roundtables, regional roadshows, customer workshops, and hackathons that build pipeline and deepen relationships with senior buyers. - Align tightly with Sales. Partner with Account Executives, SDRs, and Sales leadership on target-account lists, meeting goals, outreach, on-site roles, hand-raiser routing, and post-event follow-up. - Represent Perplexity in the market. Lead on-site execution across conferences and owned events, including messaging, booth or venue experience, executive participation, customer meetings, and post-event conversion. - Build integrated campaigns around field moments. Work with Product Marketing, Growth, Lifecycle, Social, Comms, and Partnerships to extend events through targeted outreach, content, digital programs, and sales activation before and after each moment. - Own execution end to end. Manage agencies, vendors, venues, budgets, timelines, run-of-show, staffing, production, and contingency planning while maintaining a high bar for attendee experience. - Measure outcomes, not activity. Instrument the path from invited account through registration, attendance, meeting, opportunity, and revenue. Track cost per attendee, meetings held, target-account engagement, sourced and influenced pipeline, deal acceleration, and program ROI. - Build the field operating system. Create the planning cadence, intake process, event tiers, checklists, reporting, and retros required to scale the program and make investment decisions based on results. QUALIFICATIONS - 5+ years of experience in field marketing and event marketing, ideally in B2B SaaS or enterprise technology. - Proven track record building and scaling a portfolio that includes third-party sponsorships, conferences, and company-led field programs, with measurable pipeline or deal-acceleration results. - A versatile, hands-on operator who can move between strategy, sponsorship evaluation, campaign planning, event production, executive management, on-site execution, and performance analysis. - Deep expertise in either third-party sponsorships or company-led field events is welcome, provided you have the range and interest to operate across both. - Strong event planning and execution skills, with experience managing both intimate executive programs and larger conferences, roadshows, or customer events. - Collaborative and low-ego, with experience working alongside a peer to divide a large portfolio, make tradeoffs, share context, and step into each other's programs when needed. - Excellent relationship builder who can engage senior executives, customers, prospects, Sales teams, vendors, and cross-functional partners with equal ease. - Strong written and verbal communication skills, with the ability to craft compelling event narratives, executive briefs, and field campaign plans. - Analytically rigorous, with experience setting targets, managing budgets, working with CRM data, and reporting sourced and influenced pipeline. - Highly organized, resourceful, and calm under pressure, with the judgment to solve problems quickly when plans change on site. - Willingness to travel frequently for event management and field activations.
Brand Designer, Growth
We're looking for a Growth Brand Designer to sit at the intersection of brand craft and growth performance. You'll be the designer who makes Perplexity's highest-volume, highest-leverage marketing surfaces — paid ads, social, lifecycle email, and campaign assets — look unmistakably Perplexity while actually moving the numbers. This is a shipping role, but it's equally a thinking role. Strategic concepting is a big part of the job: you'll sit with the Growth team as an ideator — generating campaign concepts, testing hypotheses, and shaping the creative strategy behind the work — not just executing briefs handed to you. The ideas you bring to the table matter as much as the assets you ship. You'll produce a steady stream of ad and campaign creative across formats and channels, then work with Growth to read the results and iterate. You care about conversion and craft in equal measure: you'd never ship an off-brand asset to win a test, and you'd never hide behind polish when the data says a concept isn't working. You'll report into the Brand/Creative Studio team and work closely with Growth, Product Marketing, Brand, and our motion and web designers. WHAT YOU'LL DO - Drive strategic concepting for growth campaigns — bring original ideas, angles, and creative territories to the table, and shape the brief rather than just receiving it - Operate as a true ideation partner to the Growth team: co-develop campaign strategy, propose test hypotheses, and pitch concepts that open up new creative directions - Own the design of growth creative end-to-end — paid social and display ads, campaign assets, and lifecycle email — from concept to shipped asset - Design for volume and velocity: build variant sets, test hypotheses, and iterate on winners with the Growth team using real performance data - Turn product launches and GTM campaigns into ad creative that lands on every channel it runs — static, animated, and everything in between - Build and maintain scalable ad and email templates so high-frequency asset production stays fast and on-brand - Partner with Brand to keep visual consistency across every growth touchpoint as our brand system evolves - Collaborate with our motion designer and web designer so campaigns feel cohesive from the first ad impression to the landing page - Bring a strong point of view on what makes performance creative great — and push back when a "best practice" would cheapen the brand WHAT WE'RE LOOKING FOR - A strong portfolio of growth and brand design work — paid ads, social campaigns, lifecycle email, campaign systems — that shows both craft and results - Proven strategic concepting ability: you can show campaigns where the idea was yours, not just the execution, and articulate the thinking behind them - Excellent visual design skills with a clear sense of brand, typography, layout, and composition - Hands-on experience designing performance creative at a consumer or prosumer tech company, including working directly with growth or performance marketing teams - Fluency reading creative performance data (CTR, conversion, hook rates) and translating it into design decisions - Ability to work fast, manage a high volume of deliverables across channels, and iterate quickly without dropping the quality bar - Fluency in Figma and the Adobe Creative Suite - An instinct for building repeatable systems — templates, variant frameworks, asset kits — rather than one-off files - 5+ years of industry experience NICE TO HAVE - Motion design skills — animated ads, short-form video for social, or After Effects fluency - Familiarity with ad platform specs and constraints (Meta, Google, TikTok, X, YouTube) and how they shape creative decisions - Experience using AI-assisted design and image-generation workflows to scale creative output - Copywriting instincts — you can tighten a headline when there's no writer in the room
Infrastructure Software Engineer, Apps Platform
Infrastructure Software Engineer, Apps Platform, London As an Infrastructure Engineer on the Apps Platform Infrastructure team, you'll help build and evolve our platform’s deployment and observability layers across multiple cloud providers and on-premises, for both internal and customer-managed environments. This is a role for someone who cares about building cloud-agnostic infrastructure and deployment pipelines. You'll partner closely with internal teams to understand how they use and deploy the platform, debug their issues, and shape a roadmap that balances immediate needs with long-term architecture. You will: - Expand the deployment footprint of our platform to cover both on-premise, all major cloud platforms and beyond - Ensure fast, secure, and reproducible deployments across all supported CSPs and on-prem - Expand the observability of the platform so that forward deployed infrastructure teams can easily and efficiently operate customer deployments - Partner closely with internal teams deploying the platform to understand their needs, debug issues, and build tooling that serves their use cases - Respond to incidents and production issues with urgency, conducting root cause analysis and implementing preventive fixes - Help develop and maintain a product roadmap for deployment and observability - Lead architecture reviews and own projects end-to-end, from design through deployment, in fast-paced cross-functional settings Ideally you'd have: - 5+ years of experience building and deploying enterprise and public sector solutions across AWS, Azure, GCP, OCI and on-premises - Deep expertise in infrastructure design, networking engineering, VPNs, load balancers, and firewalls - Deep proficiency with IaC, containerisation and orchestration tools and technologies (Kubernetes, Terraform, Docker) - Comprehensive understanding of CI/CD pipelines and software delivery principles using GitHub Actions or CircleCI. - Experience with GitOps-style deployments and a track record of ensuring consistent, repeatable deployments - Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems - Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development Nice to haves: - Experience as a founder or early engineer at an infrastructure-focused startup, owning a product end-to-end - Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks) - Open-source contributions to systems or developer-tools projects - History of on-call/incident response for production systems 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.
Product Manager, SMB Growth
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product Managers at Perplexity work closely with design and engineering, focusing on the product systems and experiences that help more people discover, adopt, and get lasting value from Perplexity. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates combine product intuition with analytical rigor: in the application, please highlight the growth problems, experiments, or loops you are most proud of building. What you’ll do - Own the SMB design partner program end to end: the program where real operators run their business on Computer so we can build and test our agents against real workflows and prove Computer moves revenue metrics for SMBs. - Recruit and onboard design partners: define the partner profile, set up connectors and project context, and design the metrics each engagement should move. - Build and iterate on Computer's first-party skill packs until the output clears the bar an operator would otherwise pay an agency for. - Turn partner feedback into a prioritized roadmap of skill, connector, and capability improvements; write the specs and drive them with the connectors and capabilities teams. - Drive case studies end to end with partnerships, product, and growth marketing: run the engagement, measure results honestly, and package them for paid, organic, and partner channels. - Drive usage expansion for our existing base of SMB operators by driving adoption for relevant capabilities through onboarding, lifecycle and in-product recommendations. Qualifications - 2–4 years of total work experience with a strong academic record. - 2 years in investment banking, strategy consulting, or a comparable high-intensity analytical role, followed by some operating experience. - You've run, or worked closely alongside, real marketing workflows: paid social, lifecycle, CRO, or SEO. You know what "great" looks like to an operator. - You already use agents to do real work and are comfortable writing prompts, skills, and building end-to-end automation systems. - Strong written and verbal communication; comfortable running a working relationship with a founder or head of marketing. - Comfortable with SQL. You can pull your own cohorts, validate your own segments, and read a dashboard without waiting on a data analyst. - Operates at high velocity. You ship daily, iterate weekly, and thrive in fast-paced, early-stage environments where processes are still being defined. Nice to have - Founder or early employee at a DTC or e-commerce brand, a performance marketing agency, or a marketing technology company. - Direct experience with Shopify, Klaviyo, Meta Ads Manager, TikTok Ads, or similar operator tools. - Experience in a forward-deployed, solutions, or customer-facing product role. OUR MISSION Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.
Product Manager, Growth
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product Managers at Perplexity work closely with design and engineering, focusing on the product systems and experiences that help more people discover, adopt, and get lasting value from Perplexity. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates combine product intuition with analytical rigor: in the application, please highlight the growth problems, experiments, or loops you are most proud of building. What you’ll do - Own the upsell roadmap: build new upsell levers and iterate relentlessly on existing ones to drive our metrics forward. - Run onboarding experiments that get new users to a first successful outcome faster, from signup and intent routing to first-session guidance. - Build personalized recommendations that drive deeper usage: connector recommendations, follow-up suggestions, and segment-aware surfaces. - Own the upgrade flows that drive paid conversion, free to paid, plan upgrades, and paid credit purchases. - Drive adoption of new Computer features as they launch: decide who sees what, when, and through which surface, and measure whether adoption turns into retention and paid usage. - Drive cross-device conversion: get web users onto the mobile and desktop apps (and back) through in-product prompts, lifecycle messaging, and onboarding. - Analyze funnels, cohorts, and segments to find the highest-leverage opportunities; define metrics, denominators, and cohort windows. - Hold guardrails on retention, support volume, and margin; improve conversion without degrading the product. - Write crisp specs, tickets, and experiment briefs; coordinate execution across engineering, design, data, and marketing. Qualifications - 2–4 years of total work experience with a strong academic record. - ~2 years in investment banking, strategy consulting, or a comparable high-intensity analytical role, followed by operating experience — a growth or product role at a startup, or founding your own company. - Extremely analytical. Fluent in SQL, comfortable with experiment design and statistical readouts. - Segment-native. You think in user journeys, personas, and behavioral triggers, and you know a lift on the average can hide a loss on a segment. - Strong product taste. You can tell the difference between an upsell that helps a user and one that annoys them, and you care about the second-order effects of what you ship. - High velocity. Comfortable owning many parallel experiments and moving between analysis, spec-writing, and shipping in the same week. - Bias to action, low ego, high ownership. Thrives in ambiguity where processes are still being defined. Nice to have - Direct experience with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents). - Experience with subscription and usage-based billing products, paywalls, or paid upgrade experimentation. - Experience shipping across web and native mobile surfaces. OUR MISSION Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.
Deployment Strategist Lead - DACH
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 Lead, you'll be fully responsible for opening up a new market for ElevenLabs, and building a team to make it happen. This is a senior position in which you’ll operate as if a co-founder, working alongside an experienced sales leader, of an effective startup moving from 0 -> 1 within our broader org, aiming to deploy our voice AI technology at the most Strategic customers in the market against their most challenging problems. All the while you’ll be able to leverage support from the rest of ElevenLabs to accelerate. You will be responsible for hiring the team you need, winning the first customers in the market and ensuring that our product generates impact for them. No two days are the same, but you should expect to: - Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points. - Build and lead a team of forward deployed engineers within the region. - Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions. - Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations. - Guide customers on best practices for implementing our voice and audio AI models to maximize their effectiveness. - 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 and Product teams to incorporate field insights into ElevenLabs' software products and AI models. - Build and deliver compelling demos of our voice and audio AI technology to new and existing customers. - Scope out potential applications in new industries and expand our AI solutions across different sectors globally. - Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions. - Collaborate daily with our customers' engineering and executive teams to ensure optimal implementation of ElevenLabs' technologies. REQUIREMENTS - Executive Stakeholder Engagement: Proven experience engaging and influencing C-suite and VP-level stakeholders, both internally and at customer or partner organizations. - People Leadership: Demonstrated ability to hire, develop, and manage high-performing technical teams while fostering a collaborative and results-driven culture. - Basic proficiency in Python and understanding of API integration to implement scripts and help with prototyping/demo building. - Excellent communication and problem-solving skills, especially in terms of ability to summarize complex technical concepts and using logic in pursuing optimal solutions. - Technical aptitude to quickly understand our voice and audio AI models and their applications. - Strategic and Commercial Awareness: Ability to align technical strategy with business objectives, with an understanding of deal structures, go-to-market motions, and revenue impact. - Nice to have: Partner Ecosystem Development - Experience identifying, building, and nurturing relationships with system integrators, resellers, and technology partners to drive market growth. LOCATION This role is remote-first, so it can be executed from anywhere in India, with a preference of Bangalore. Expect regular travel for customer onsites. Fluency in English and a deep understanding of the regional and cultural nuances is required. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Compensation & Total Rewards
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. THE ROLE ElevenLabs is scaling globally at extraordinary speed, growing from 400 to 1,000+ by the end of 2026. We operate across 46+ countries, with a highly distributed workforce spanning researchers, engineers, GTM teams, operators, creatives, and frontier AI specialists. Compensation and total rewards are core to how we attract and retain the best builders in the world. This environment is inherently complex. Different regulatory frameworks. Different talent markets. Different role archetypes. High volatility in frontier AI compensation benchmarks. That complexity is not a constraint, it’s the challenge. We are looking for someone to own and evolve our global compensation and total rewards strategy, designing systems that are competitive in frontier AI markets, internally consistent, globally scalable, and built for long-term sustainability. You will operate as the single point of accountability for compensation architecture across the company, partnering closely with Operations, Legal and Finance. If you’re energized by solving hard global compensation problems, building clarity across diverse markets, and designing systems that scale globally without slowing the company down, this role is for you. KEY RESPONSIBILITIES COMPENSATION STRATEGY & PHILOSOPHY - Own and continuously refine ElevenLabs’ global compensation philosophy. - Ensure pay, equity, and incentives reinforce attraction, retention, and performance. - Balance market competitiveness with internal equity and financial discipline. - Serve as a trusted advisor on complex, high-impact compensation decisions. JOB ARCHITECTURE & LEVELING - Design systems that introduce rigor without slowing the company down. - Evolve our structure intentionally to match our scale: mature enough to support 46+ countries and a diverse set of roles, but not over-engineered or bureaucratic. - Drive clarity and consistency in job architecture, leveling frameworks, and compensation bands globally. EQUITY & LONG-TERM INCENTIVES - Design equity programs that reflect a core ElevenLabs belief: employees should be genuine owners in the company and invested in our long-term ambition. - Own our equity philosophy, structure, and grant strategy. - Partner with Finance and Legal on equity design, refresh cycles, and promotion grants. COMPENSATION CYCLES & GOVERNANCE - Assist annual compensation reviews end-to-end. - Design clear off-cycle governance and decision frameworks. - Build calibration rigor and tooling that scales globally. - Introduce AI-enabled workflows where appropriate to improve speed and consistency. - Act as the final escalation point for leveling and pay consistency decisions. BENEFITS & TOTAL REWARDS - Own global benefits strategy across a distributed workforce. - Balance standardisation with regional relevance. - Ensure benefits are competitive in frontier talent markets while remaining operationally scalable. WHAT WE’RE LOOKING FOR EXPERIENCE - 5+ years in Compensation or Total Rewards, ideally in high-growth technology companies that operate across multiple countries - Ownership of equity programs - Strong track record of building compensation systems that scale - Experience designing and evolving job architectures and leveling systems - Experience operating in fast-scaling, ambiguous environments SKILLS & ATTRIBUTES - First-principles thinker: approach problems without bias - Hands-on builder: comfortable designing systems from scratch - Strong analytical skills: the ability to translate data into clear, strategic recommendations - Comfortable partnering with senior leaders and influencing decisions in complex, fast-moving environments - Excellent communication skills - High standards and high ownership 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.
Product Manager, Mobile Apps
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product Managers at Perplexity work closely with design and engineering, focusing on the native mobile experiences that bring agentic AI and search into people’s everyday lives. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates have deep experience building exceptional mobile products: in the application, please highlight the mobile apps or platform experiences you are most proud of shipping. THE ROLE The Mobile Apps team owns the end-to-end Perplexity experience across iOS and Android. This includes how users discover and onboard into the product, search and take action on the go, use voice, camera, notifications, widgets, and other native capabilities, manage subscriptions and preferences, and return to ongoing work across devices. You will identify the highest-leverage mobile user problems, translate them into clear product direction, and partner closely with design, engineering, data science, and research to deliver experiences that feel fast, intuitive, cohesive, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, fluency in mobile platform constraints and opportunities, and an exceptional eye for detail. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in how people use AI on mobile. - Envision new mobile experiences and deliver a long-term vision across iOS and Android. - Understand the levers for mobile product-led growth, engagement, and retention. - Work closely with engineering and design to align product expectations with native platform capabilities and constraints. - Work with research to evaluate and steer nondeterministic models into high-value outcomes for mobile users. - Have conviction to make difficult product decisions in the face of uncertainty. - Develop a deep understanding of mobile user needs, behaviors, and friction through direct product use, qualitative research, product data, and experimentation. - Make complex AI behavior understandable and controllable on small screens through clear interaction models, thoughtful defaults, and well-designed feedback. - Drive alignment when improvements span iOS, Android, web, backend systems, or multiple teams. - Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience shipping and scaling high-quality consumer mobile products across iOS or Android. - Deep understanding of native mobile interaction patterns, platform capabilities, performance, and reliability. - Experience with rapid mobile prototyping, experimentation, and data visualization. - Experience building data-driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.
Product Manager, Core Experience
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product Managers at Perplexity work closely with design and engineering, focusing on the core agentic and search experiences. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating. THE ROLE The Core Experience team owns the foundational interactions that define how people use Perplexity every day. This includes how users begin and continue work, understand what the product is doing, navigate and find what they need, manage their context and preferences, collaborate with others, and return to ongoing work across platforms. You will identify the highest-leverage user problems, translate them into clear product direction, and partner closely with design, engineering, data science, and research to deliver experiences that feel fast, intuitive, cohesive, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, and an exceptional eye for detail. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in enterprise industries. - Envision new experiences and deliver a long-term vision. - Understanding of levers for product-led growth and retention. - Work closely with engineering and design to align product expectations and capabilities. - Work with research to evaluate and steer nondeterministic models into the high value outcomes for users. - Have conviction to make difficult product decisions in the face of uncertainty. - Develop a deep understanding of user needs, behaviors, and friction through direct product use, qualitative research, product data, and experimentation. - Make complex AI behavior understandable and controllable through clear interaction models, thoughtful defaults, and well-designed feedback. - Drive alignment when improvements span multiple product surfaces, platforms, or teams. - Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience with productivity and knowledge work products. - Experience with prototyping and data visualization. - Experience with building data driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.
Technical Program Manager, Developer Experience
About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. The ChatGPT engineering org builds and operates the systems that bring product improvements to users across backend services, web, mobile, and desktop platforms. The Developer Velocity team partners with product engineering, platform, infrastructure, reliability, engineering acceleration, and observability teams to make everyday development faster and releases safer, more predictable, and easier to operate. About the Role We are seeking a Technical Program Manager to improve developer velocity and deployment excellence across ChatGPT. You will lead durable improvements to local development, CI, testing, build systems, release trains, progressive rollout, and post-deployment validation. You will identify the highest-leverage sources of engineering friction, align teams around shared standards and metrics, and drive adoption of tooling and workflows that improve both speed and reliability. This role combines systems thinking, technical program leadership, and hands-on operating rigor across a broad engineering surface. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own the cross-functional roadmap for improving local development, CI, testing, build workflows, and release infrastructure. - Create a durable intake and prioritization mechanism for developer friction, using evidence to focus teams on the highest-impact improvements. - Lead programs that improve deployment speed and safety, including pre-merge confidence, progressive rollout, release guardrails, rollback readiness, and post-deploy validation. - Improve the reliability and predictability of release trains across ChatGPT backend services, web, mobile, and desktop platforms. - Partner with platform, infrastructure, reliability, engineering acceleration, and observability teams to reduce deployment-related incidents and regressions. - Increase visibility into what is shipping when, and make cross-platform dependencies and launch risks clear to engineers, product managers, and launch owners. - Define and operationalize metrics for developer productivity, build and test health, deployment throughput, release reliability, and engineering velocity. - Drive adoption of automation, observability, release orchestration, and scalable developer tooling, with clear ownership and sustained operating cadences. You might thrive in this role if you: - Have led complex technical programs spanning developer infrastructure, CI/CD, build and test systems, release engineering, or distributed systems. - Can engage deeply with engineers on workflow architecture, deployment systems, rollout risk, observability, and operational tradeoffs. - Have delivered measurable improvements in developer velocity, deployment throughput, release reliability, or engineering efficiency. - Know how to turn fragmented ownership and recurring manual work into durable mechanisms, standards, and tooling with strong adoption. - Use data and qualitative evidence to prioritize work, define useful metrics, and distinguish real productivity gains from local optimization. - Lead effectively across platform and product teams, resolve ambiguity, and keep multi-team execution moving without direct authority. - Use metrics to guide decisions, identify bottlenecks, and demonstrate measurable improvements in throughput, predictability, or reliability. - Communicate with precision and can move comfortably between technical detail, operational execution, and executive-level decisions. - Thrive in ambiguous, scaling environments and can bring order to complex cross-functional work without losing pace. - Care about OpenAI's mission and about expanding responsible access to advanced AI systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Product Engineer, Ona
About the Team We are building the Defense Factory to help enterprises find and fix security vulnerabilities with AI. We build infrastructure that enables AI agents to work in secure, customer-controlled cloud environments, with the context, tools, and controls they need to investigate security findings, carry out approved actions, and verify results. Our focus is turning AI capabilities into reliable security outcomes, starting with finding and fixing vulnerabilities and expanding into investigation, detection, and response. That means solving challenging problems in cloud environments, orchestration, security, and collaboration, while making the experience straightforward for the people directing and reviewing the work. We’re a team that values initiative, close relationships with customers, and exceptional engineering craft. We take ownership, learn quickly, and communicate directly and kindly. About the Role We’re hiring backend-focused Product Engineers across our platform and security product teams. You’ll build infrastructure and customer-facing workflows that let developers and AI agents work reliably in parallel. You’ll work primarily in Go on APIs, complex networking, development environments, and orchestration for long-running tasks. You’ll own outcomes from understanding a user’s problem and choosing an approach through shipping, operating, and improving the solution, working closely with frontend, infrastructure, and security engineers. In this role, you will: - Work directly with customers to build developer and security workflows, from getting a project running to investigating findings, reviewing agent-generated changes, and verifying fixes. - Build Go services and APIs for provisioning cloud environments, running agents in customer infrastructure, and integrating with source control, CI, and other developer tools. - Design reliable orchestration for long-running, parallel work, including durable state, retries, cancellation, and recovery. - Build security into execution workflows through clear permissions, credential handling, isolation, and auditability. - Own production quality: testing, safe rollouts, observability, performance, and operational reliability. - Partner with frontend and design colleagues to make complex backend capabilities straightforward to use. You might thrive in this role if you: - Have strong Go skills and experience building and operating production backend systems. - Understand distributed systems, concurrency, and state, and can reason about failures and recovery. - Have practical experience with Linux, containers, cloud infrastructure, and networking, including routing, DNS, and secure connectivity. - Can design clear APIs and data models that simplify complex workflows. - Are product-minded and want to stay close to customers, understand their needs, and own solutions from problem discovery through launch and iteration. - Communicate technical decisions clearly and work effectively across disciplines and locations. Experience building on AWS, GCP, or Azure is a plus. Depth in one or more of developer platforms, workflow engines, Kubernetes, networking, sandboxing, identity systems, security products, or AI-agent workflows would be useful; we don’t expect expertise across all of them. Frontend experience is welcome but not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Manager, Technical & Operational Accounting
About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. The Technical Accounting, Accounting Policy, and Financial Reporting organization partners across Finance to assess complex corporate matters and develop well-supported U.S. GAAP conclusions. The team supports non-routine business activities requiring thoughtful technical judgment, scalable accounting policies, financial statement disclosures, processes, and controls. About the Role You will partner closely with Technical Accounting, Financial Reporting and Controllership to translate complex accounting conclusions into scalable operational procedures. You will build processes for non-standard transactions, including warrants, equity-method investments, debt and equity securities, non-controlling interests, hypothetical liquidation at book value allocations, business combinations, and other complex financing, investment, and capital arrangements. You will advise stakeholders across Corporate Accounting, Financial Reporting, Treasury, Legal, Tax, Strategic Finance, FP&A, Equity, Internal Controls, valuation specialists, and external auditors. You will help resolve complex accounting questions, align leaders on material judgments and risks, and translate conclusions into audit-ready memoranda, close entries, disclosures, processes, and controls. This is a highly visible role for an accounting professional who can turn technical conclusions into practical execution, support non-routine transactions through recurring close processes, and strengthen operational accounting across Finance. In this role, you will: - Own operational accounting for complex financing, investment, equity, and capital arrangements, including classification, measurement, presentation, disclosure, and recurring close processes. - In partnership with technical accounting, lead day-one and recurring accounting for non-standard transactions, including fair-value measurements, equity-method investments, debt and equity securities, warrants, noncontrolling interests, and hypothetical liquidation at book value allocations. - Perform reconciliations for assigned accounts, investigate discrepancies, and drive issues to resolution. - Support the resolution of complex accounting matters during monthly and quarterly close. Ensure conclusions are reflected in financial statement presentation, footnote disclosures, journal entries, reconciliations, ownership, and controls. - Build operational processes to assess impairment indicators and asset recoverability for goodwill, intangible assets, long-lived asset groups, equity-method investments, nonmarketable equity investments, and debt securities, as applicable. - Coordinate valuations for non-standard transactions with Technical Accounting and valuation specialists. - Lead audit support for assigned investments and other complex accounting areas. Prepare evidence-backed schedules, memoranda, reconciliations, valuation support, and financial statement tie-outs. - Analyze significant equity and other compensation awards, and partner with Equity Administration and Controllership to ensure accurate, timely accounting and booking. - Coordinate with Tax on downstream impacts without owning tax conclusions. - Partner with Financial Reporting and Internal Controls to strengthen controls, SOX/ICFR readiness, impairment monitoring, audit trails, tie-outs, and subsequent-event procedures. - Monitor emerging accounting standards and translate new guidance into policies, implementation plans, disclosures, reporting calendars, and scalable processes. - Participate in cross-functional initiatives involving accounting-policy implementation, operating-model changes, legal-entity matters, and systems or process improvements. - Develop pragmatic accounting policies, playbooks, decision frameworks, and automation that improve consistency, strengthen capability, preserve judgment, reflect economic substance, and escalate unresolved issues. You might thrive in this role if you: - Hold a CPA, CA, or equivalent accounting qualification, or bring comparable demonstrated technical-accounting expertise. - Bring 5+ years of progressive experience in technical accounting, accounting advisory, public accounting, corporate controllership, or complex financial reporting, with meaningful industry or transaction experience. - Demonstrate broad U.S. GAAP expertise across corporate accounting, financial instruments, consolidation, business combinations, equity-method investments, debt and equity securities, impairment, fair value, financial statement presentation, and complex ownership structures. - Apply relevant guidance across ASC 320, 321, 323 326, 350, 360, 470, 480, 718, 805, 810, 815, and 820; and other applicable guidance as the facts require. - Have developed or reviewed audit-ready technical memoranda, implemented conclusions in recurring operations, worked constructively with external auditors, and grounded conclusions in evidence, economic substance, and authoritative guidance. - Have experience with significant aspects of close and reporting, acquisitions or investments, complex ownership structures, consolidation, or impairment assessments. Understand how technical decisions affect journal entries, reconciliations, disclosures, and controls. - Understand how accounting policies and judgments flow into close, financial statements, disclosures, reconciliations, significant estimates, treasury activity, and external-reporting readiness. - Set priorities across consequential workstreams and raise the bar for inclusive, scalable accounting practices while protecting financial reporting integrity. - Have experience with Oracle Fusion Accounting Hub, accounting rules engines, automated subledgers, ERP implementations, or similar source-to-general-ledger systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Member of Design Staff - Brand
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. ABOUT MODAL DESIGN Modal is building the future of serverless computing, and the brand that carries that story is still taking shape — You'll join Modal's newly formed Brand team inside our design org as one of its first senior hires, working directly with the Director of Brand Design and Head of Design to build a brand developers recognize instantly and remember. THE ROLE As a staff-level Brand Designer, you will have major influence over every brand surface: the marketing website, campaigns, events, editorial projects like the GPU Glossary https://modal.com/gpu-glossary and forthcoming publications, and out-of-home work as we scale into larger formats. You'll also be a beacon to external agencies, representing Modal's internal creative voice and making sure the work translates into a system we can actually build on. And as the studio grows, you'll help set its craft standard — guiding and mentoring earlier-career designers and shaping how we critique, ship, and show work. WHAT YOU'LL DO: - Define and evolve Modal's visual identity across web, marketing, campaigns, and editorial — building a cohesive, distinctive system rather than one-off assets - Lead concept and execution for brand campaigns across digital and out-of-home, from paid social to large-format outdoor, ensuring the work is consistent, distinctive, and built to perform - Own branded experiences for events and GTM: environments, collateral, swag, and conference presence that feel unmistakably Modal - Help codify the brand as it matures: design language, principles, and the rules that hold it together - Mentor and critique the work of other designers, helping the studio's output stay coherent and ambitious as it scales - Move quickly without sacrificing quality REQUIREMENTS: - 7+ years of brand design experience, building brands for technically complex products — developer tools, infrastructure, or AI. You know how to make something deeply technical feel compelling and clear. - High influence, Low ego: You work well with others, share credit freely, and act as force for positivity within the brand team - A portfolio that demonstrates exceptional typography, color, composition, and a recognizable point of view - Experience designing brand systems that extend from identity to motion to web – the more the better - Ability to interpret and contribute to brand strategy - Someone who takes ownership seriously: you drive work to completion, raise the quality bar, and build structures that let others do the same - Strong taste, and the ability to defend it. Has opinions, backs them up, takes feedback well
Customer Success - EMEA - 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 This role partners directly with customers across the Nordics Region to drive adoption of the ElevenLabs platform - spanning core speech models, creative tools, and Agents. You will administer onboarding and enablement tactics across multiple products, advising on best practices for deploying ElevenLabs across web, mobile, and backend systems. You will analyze product usage and performance signals to identify friction points, unblock adoption, and help customers realize measurable value from the platform. In parallel, you will own commercial outcomes across a defined set of accounts. Success is measured by Gross Revenue Retention and Net Revenue Retention, with a strong emphasis on sustained multi-product adoption. You will identify expansion opportunities, drive renewals and upsells, and partner closely with Sales, Engineering, and Customer Success leadership to turn technical success into durable revenue growth. REQUIREMENTS - 5+ years of Customer Success or Account Management experience supporting complex B2B SaaS, Developer Tools, or AI/ML products in the Nordics region - Fluent in Swedish and English - Familiarity and experience with building and deploying AI agents - Familiarity and experience with API Integrations, and comfort and knowledge of navigating SDKs - Proven experience driving revenue outcomes, including owning a revenue quota and identifying, qualifying, and closing cross-sell opportunities along with renewals - Excellent problem-solving, technical, and analytical skills to address customer needs and concerns - Strong communication and interpersonal skills, with the ability to build and maintain relationships with customers at all levels of an organization - Strong understanding of the Nordics market landscape and cultural nuances - Self-motivated and able to work independently in a remote or distributed team environment We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Member of Technical Staff (Search Quality Analyst)
Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering - designing metrics, building data pipelines, and improving the quality of our search and answer systems. This role is hybrid in Belgrade, London or Berlin. Responsibilities - Find and diagnose quality issues in our search pipeline - Design metrics from scratch to track and measure search quality - Build datasets for model training, including LLM-as-a-judge labeling pipelines - Improve search snippet quality and page selection algorithms for indexing - Design and analyze A/B experiments to validate improvements Qualifications - 4+ years of experience as a data analyst or in a related role - Strong coding skills — expected to write production-grade code at a mid-level backend engineer level - Proficiency with SQL and Python - Demonstrated hands-on experience with at least one of the following: - Designing metrics from scratch (not just analyzing existing A/B experiments) - Building labeling pipelines using LLM-as-a-judge - Training ML models that shipped to production with measurable metric improvements - Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals Preferred Qualifications - Experience working on search-related products - Knowledge of statistics and A/B experiment design - Experience with Apache Spark or Databricks
Support Program Manager, Support Delivery
About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a Support Program Manager to join our Support Delivery team. This role is an exciting opportunity to help define and implement foundational support practices that will scale with OpenAI’s growth. You will lead efforts to establish new operational frameworks, driving process alignment with various internal teams, and leading tooling and automation projects. This position offers the chance to make a significant impact in shaping customer experience while collaborating across multiple teams. We’re looking for people who thrive at the intersection of project management, systems building, data science/data engineering/software engineering, team enablement, and customer advocacy – and enjoy working cross-functionally in a fast-paced, evolving environment. This role is based in San Francisco, CA, and follows a hybrid work model of 3 days in-office per week. Relocation assistance is available. In this role, you will: - Lead support delivery programs for Tier 3 frontline delivery for our most strategic customers, including productivity and workflow improvements, team operations, and knowledge management for the Support Delivery team - Partner with Support Delivery and cross-functional leadership to define the experience, stand up the program, manage pilots and rollout, and ensure premium operations and playbooks stay healthy over time - Lead strategy and program design for internal support initiatives, including specialization programs, quality initiatives, community support, product reliability and launch supportability - Coordinate requirements, implementation, and ongoing iteration with internal build owners and systems partners - Lead projects to identify, implement, and scale tools and automation that improve customer support efficiency and effectiveness - Identify and scale practical AI-powered workflows across support operations, using automation, LLMs, and internal tooling to reduce manual work, improve resolution quality, and help the team operate more effectively at scale - Collaborate across teams to identify opportunities for improvement, reduce friction, and enhance overall customer satisfaction - Help shape the vision and strategy of a new team, contributing to its long-term success and influence across the organization You might thrive in this role if you: - Have 8+ years of experience in program management, operations, or support engineering, with a focus on building scalable processes and tooling - Have shipped or maintained tools and automations (dashboards, ETL pipelines, low-code apps) that eliminated manual work and scaled beyond a single team - Treat ChatGPT & LLMs as default co-developers, rapidly turning natural-language ideas into working code or queries - Deeply enjoy working cross-functionally and are skilled at building relationships with Product, Engineering, and Operations teams - Excel in a dynamic, high-impact team environment where you can create structure and make meaningful contributions - Are passionate about using tools and automation to drive efficiency and improve customer outcomes - Possess exceptional communication, organization, and problem-solving skills - Have a high ownership mindset with a bias toward action; comfortable operating in ambiguity, driving clarity, and rolling up their sleeves to get things done About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Account Director, Digital Native 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, New York, 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 a portfolio of customer accounts, developing and executing strategies for a comprehensive account plan - Support your customer accounts from initial engagement to successful deployment, expansion, and through to renewal - Partner with solutions and research engineering to build and execute complex customer programs and projects - Own a revenue target - Manage 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: - 8+ years selling and renewing platform-as-a-service and/or software-as-a-service - 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 - 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.
Mega Account Executive, Meta
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top digital native enterprises, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue within a book of strategic digital native accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases - Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives - Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your account's landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead expansion by pinpointing new use cases and business units. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic account - Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solution - Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify robust set of business drivers behind all opportunities - Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience - Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: - 10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders - Experience selling emerging technologies or complex solutions to large digital native companies. Ability to navigate technical evaluations and translate complex capabilities into business value - A strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives - Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups - A consultative sales approach with focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor - Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders - Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions - A high level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously - A passion for AI and emerging technologies with enthusiasm for helping organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 - $450,000 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.
Communications Lead, France and Southern Europe
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. À propos du poste Anthropic recherche un·e responsable de la communication pour piloter sa stratégie de communication en France, en Italie et en Espagne. Basé·e à Paris, vous définirez la manière dont Anthropic s'exprime dans la région : vous façonnerez notre discours entreprise et produit, naviguerez des sujets de politique publique complexes et ferez découvrir notre marque à des publics au-delà du secteur de l'IA. Vous serez rattaché·e au Head of EMEA Communications. Il s'agit du premier poste sur le marché de l’Europe du Sud. Vous serez le.a représentant.e de communication sur le terrain. Vous construirez la marque Anthropic et incarnerez notre mission de sécurité de l'IA auprès du grand public, des institutionnels et des techniques. Vous parlez couramment le français et l'anglais, vous êtes à l'aise avec les sujets d'actualité grand public comme tels que les enjeux de politique publique liés à l'IA, et la perspective de construire de zéro au sein de l'une des entreprises technologiques les plus influentes au monde vous motive. Responsabilités - Piloter la stratégie de communication pour la France et l'Europe du Sud, en traduisant la dynamique mondiale d'Anthropic, notre leadership en recherche et notre innovation produit en stratégies qui résonnent localement - Diriger la communication corporate dans la région. Concevoir des moments marquants et des prises de parole de référence qui établissent Anthropic comme l'une des entreprises les plus admirées au monde et une véritable force économique en Europe - Faire de la communication un partenaire stratégique des équipes commerciales (GTM). Consolider le leadership de Claude auprès des entreprises et démontrer comment notre approche responsable de la construction d'une IA sûre gagne la confiance des décideurs des secteurs régulés - Développer une communication d'affaires publiques qui contribue à définir un avenir positif pour l'IA dans la région. En partenariat avec notre équipe Policy, mettre en lumière les façons dont l'IA transforme la science, l'éducation et le secteur public, tout en naviguant des conversations sensibles sur la souveraineté, le droit d'auteur et la régulation - Développer et entretenir des relations avec les journalistes, créateurs et personnalités d’influences qui façonnent le débat sur l'IA dans la région - Conseiller en communication et préparer aux médias les porte-parole d'Anthropic ainsi que les porte-paroles de nos clients - Structurer le fonctionnement de l'équipe et le soutien des agences afin de porter notre récit à grande échelle Votre profil - Vous avez environ 10 à 12 ans d'expérience en communication, idéalement avec des postes en interne dans des entreprises d'IA ou des entreprises technologiques à forte croissance - L'IA vous passionne sincèrement et vous accordez une grande importance au développement sûr de systèmes d'IA transformateurs - Vous maîtrisez la relation presse, en particulier le travail direct avec les journalistes en France - Vous avez une solide compréhension de l'écosystème européen de l'IA : les entreprises, fondateurs, investisseurs, journalistes et responsables politiques qui animent le débat - Vous avez piloté des programmes de communication internationaux pour une entreprise technologique dont le siège est aux États-Unis, avec une expérience significative en France, en Italie ou en Espagne - Vous savez gérer des interlocuteurs seniors et délivrer un conseil pertinent et incisif aux dirigeants - Vous parlez couramment le français et l'anglais au minimum. La maîtrise de l'italien et/ou de l'espagnol est un plus Atouts supplémentaires appréciés - Une expérience directe en communication pour des entreprises d'IA, des start-up à forte croissance ou des laboratoires de recherche - Un réseau établi auprès des voix clés qui animent les débats sur l'IA en France, en Italie et en Espagne - Une expérience complémentaire en communication dans les secteurs financiers, de la santé ou des sciences - Une compréhension des dynamiques de politique publique liées à l'IA au sein de l'UE About the role Anthropic is looking for a communications lead to run our communications strategy in France, Italy, and Spain. Based in Paris, you will shape how Anthropic shows up in the region, shaping our enterprise and product narrative, navigating complex policy matters and introducing our brand to audiences beyond AI. You will report to the Head of EMEA Communications. This is a first-in-market role. You will operate as the communications voice on the ground, building Anthropic's brand and bringing our AI safety mission to life with mainstream, policy and technical audiences. You will be fluent in French and English, comfortable handling mainstream news stories and AI policy issues, and energised by the prospect of building something from scratch inside one of the world's most consequential technology companies. Responsibilities - Own the communications strategy for France and Southern Europe, translating Anthropic's global momentum, research leadership, and product innovation into stories that resonate locally - Lead corporate communications in the region. Engineer landmark moments and high-quality reference pieces that establish Anthropic as one of the world's most admired companies and a serious economic force in Europe - Make communications a strategic partner to GTM. Cement Claude's enterprise leadership and demonstrate how our responsible approach to building safe AI is earning the trust of decision-makers in regulated industries - Build policy communications that help define AI's positive future in the region. In partnership with our policy team, showcase how AI is transforming science, education, and the public sector, while navigating sensitive conversations on sovereignty, copyright, and regulation - Develop and steward relationships with the journalists, creators, and influencers shaping the AI debate in the region - Provide communications counsel and media preparation for Anthropic spokespeople and customer executives - Build out team operations and agency support so we can tell our story at scale You may be a good fit if you - Have around 10-12 years of communications experience, ideally including in-house roles at AI or high-growth technology companies - Are genuinely excited about AI and care deeply about the safe development of transformative AI systems - Are a competent media handler, especially working directly with reporters in France - Have a strong grasp of the European AI landscape — the companies, founders, investors, journalists, and policymakers shaping the conversation - Have run international communications programs for a US-headquartered technology company, with meaningful experience in France, Italy, or Spain - Are skilled at managing senior stakeholders and giving sharp counsel to executives - Are fluent in French and English as a minimum. Fluency in Italian and/or Spanish is a plus Strong candidates may also have - Direct experience in communications for AI companies, high-growth startups, or research labs - Existing relationships with key voices shaping the AI debates in France, Italy and Spain - Additional experience in financial services, healthcare, or life sciences communications - Understanding of AI policy dynamics in the EU Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Data Analyst, Public Sector
Scale's Data Analytics team is centralized, embedding data analysts across delivery, operations, finance, and engineering to turn ambiguous problems into clear, actionable insights. As a Senior Data Analyst for Public Sector, you'll build analytics solutions from the ground up - partnering closely with cross-functional teams and leadership to solve complex problems, design dashboards, build tables, and perform ad-hoc analyses that shape how Scale runs and measures its Public Sector business. We're looking for someone who's relentlessly curious, comfortable owning ambiguity, and skilled at turning cross-functional relationships into sustainable, scalable analytics solutions. Active Secret U.S. security clearance required You will: - Own data quality for your domain - document models, troubleshoot discrepancies, and establish centralized metric definitions - Collaborate with cross-functional teams to identify, define, and track key metrics to be used in monitoring, planning, and one-off decision-making - Develop repeatable, scalable analytical solutions, such as dashboards, data models, or standard processes - Partner with Ops to identify and track efficiency initiatives, measuring their impact on cost, quality, and delivery outcomes over time - Partner with Finance to analyze cost drivers across programs and help inform pricing strategy - Be willing to deepdive when needed and dig into the messy details to get to the root of a problem - Initiate and drive complex projects to completion with minimal guidance Ideally you'd have: - 6+ years of relevant work experience - Advanced SQL skills and experience building with data modeling tools (e.g. DBT) - Experience building dashboards and reports with BI tools (e.g. Tableau, Metabase) - Strong business acumen - comfortable partnering directly with cross-functional stakeholders - Excellent communication skills - able to translate technical analysis into clear, actionable narratives - Comfort with ambiguity in a fast-moving environment and able to make sound trade-offs - Active Secret U.S. security clearance is required; Top Secret U.S. clearance is preferred Nice to haves: - Familiarity working within air-gapped/federal environments and navigating their constraints - Prior experience supporting a Business Operations function, with exposure to process analytics or process mining (e.g. workflow optimization) 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: $182,400 - $228,000 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.
Head of Partner Account Management & Ecosystem BD
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 services partner ecosystem is a critical channel for bringing Claude to enterprise customers worldwide. This ecosystem spans the full spectrum of services firms — from global system integrators and the world's largest consultancies, to specialist and regional SIs, to our growing cohort of AI-native boutique partners. Together, their reach, vertical depth, and delivery capacity are essential to scaling Claude's enterprise footprint. Managing this breadth well requires rigor, repeatability, and a team that can drive meaningful joint outcomes across a portfolio of partners that differ widely in scale, operating model, and maturity. We're looking for a Head of Partner Management & Ecosystem BD to lead the team of Partner Account Managers responsible for the full range of our services partnerships and to develop and execute commercial strategies for the ecosystem in partnership with Sales. You'll coach and develop a team of PAMs, shape the operating model for how we engage each segment of the ecosystem, and build the programs, playbooks, and measurement systems that let us scale with quality. You'll work closely with partnerships leadership, sales, product, and customer success to ensure our partners are equipped to win and deliver transformative AI solutions for their clients. The commercial side of this role is as important as the team-leadership side. Working hand in hand with Sales leadership, you'll define where and how partners create revenue for Anthropic — which partners we co-sell with in which accounts and industries, how partner-sourced and partner-influenced pipeline is built and forecast, and what a joint account plan looks like when both sides own the number. You'll develop new ways of going to market, while also managing the tri-party motion with our cloud service partners and tech company partnerships, so that a services partner, a cloud platform, and Anthropic show up to a customer as one coordinated offer rather than three separate conversations. This role sits at the intersection of team leadership, partner strategy, and operational execution. You'll stay close enough to the work to engage directly with partner leadership when it matters, while investing most of your time in making your team and the broader ecosystem more effective over time. Key responsibilities - Lead, coach, and develop a team of Partner Account Managers covering Anthropic's services partners, from global SIs and consultancies through to AI-native boutique partners - Set clear expectations, goals, and operating standards; hold the team accountable to partner revenue, pipeline, and program outcomes - Hire and retain exceptional talent; build a team culture grounded in rigor, partnership, and care for Anthropic's mission - Develop and execute commercial strategies for the partner ecosystem in partnership with Sales — defining joint account plans, co-sell priorities by segment and industry, and pipeline and revenue targets that both organizations own - Develop new ways of going to market, while also managing the tri-party motion with our cloud service partners and tech company partnerships - Build the rules of engagement between PAMs and account teams: how partners are brought into deals, how sourced and influenced pipeline is attributed and forecast, and how conflicts are resolved - Identify and launch new partner-led routes to market — industry solutions, packaged offerings, marketplace transactions — and prove them out with a small set of partners before scaling across the portfolio - Own the ecosystem's contribution to the revenue plan; report on partner-sourced and partner-influenced pipeline, bookings, and consumption to partnerships and sales leadership - Shape the operating model for each segment of the ecosystem: how PAMs plan with partners, run QBRs, forecast, track partner health, and prioritize their time across a portfolio - Design engagement models that fit the partner — executive-level, multi-threaded relationships with global SIs alongside scalable, programmatic coverage for boutique and regional partners - Partner with the broader SI program to adapt tier structure, benefits, and requirements to partner dynamics - Build and evolve playbooks that help PAMs recruit, onboard, activate, and grow partners consistently - Work with enablement, product, and solutions teams to ensure partners have the training, certifications, and technical resources they need to build and deliver production-grade Claude solutions - Identify gaps in partner readiness, drive cross-functional investment to close them, and ensure consistent quality of partner engagement across the team - Collaborate with sales, partner operations, marketing, legal, and finance to remove friction and accelerate joint outcomes - Surface partner, market, and product insights to inform Anthropic's broader partner strategy and roadmap, and represent the business in partnership leadership forums Minimum qualifications - Experience leading partner sales, channel sales, alliances, or partner management at a technology company, including ownership of a revenue number - Experience managing partner-facing teams, including senior individual contributors - A track record of driving revenue through SI or consulting partner channels, consistently meeting or exceeding targets - Executive-level relationships with C-level and partner-level stakeholders at major consulting and services firms - Experience developing and executing commercial strategy jointly with a Sales organization, including co-sell motions, joint account planning, and partner-sourced pipeline that shows up in the revenue plan - Strong commercial acumen and comfort coaching a team through complex deals, partner negotiations, and multi-stakeholder enterprise sales cycles - Fluency with partner KPIs, pipeline forecasting, and dashboards, and experience using data to drive team and program decisions - Excellent communication and relationship-building skills, from partner practitioners to senior executives, both externally and internally - Willingness to travel to support partner relationships and joint customer engagements - Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications - A track record of building and scaling a commercially focused partnerships organization, from early stage to mature operations — defining the strategy, hiring the team, establishing the operating cadence, and delivering measurable revenue outcomes - Experience running multi-party go-to-market motions with cloud service providers and technology partners, and a clear view on how to keep those motions aligned when incentives diverge - Familiarity with hyperscaler co-sell programs and marketplace-led transactions, and experience launching a new partner route to market from concept to repeatable motion - Experience building or scaling partner programs — tier structures, enablement, playbooks, and operating cadences — in a fast-growing environment - Experience managing a portfolio that spans both a small number of top-tier strategic accounts and a broad base of smaller partners, and a view on how to drive leverage across both - Direct experience working with or at global SIs or consultancies, and/or with specialist, regional, or AI-native boutique services firms - Experience in AI, cloud platforms, or other high-growth technology categories where partner enablement and technical differentiation are critical - Experience managing partner teams across multiple geographies and cultures - A background that spans partner management and adjacent disciplines such as direct enterprise sales, partner sales, or alliances strategy - Comfort with ambiguity and a track record of creating structure in emerging programs - A point of view on how AI is reshaping the SI ecosystem and how Anthropic should engage global SIs, specialist partners, and AI-native boutiques differently 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: $425,000 - $580,000 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.
AWS GTM Partnership Lead, Public Sector & Nonprofi...
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 partnerships leader to own the tri-party motion for public sector and nonprofit partnerships selling through AWS. Public sector and nonprofit-focused partners are how Claude reaches government agencies, educational institutions, and mission-driven organizations at scale, and AWS is the surface most of that work runs on. You will own the intersection of those two ecosystems. In this role, you will build the go-to-market motion that turns partner interest into joint pipeline and closed revenue, working across AWS's public sector partner organization and the AWS practices inside the partners that serve government and nonprofit customers. You will define how Claude is positioned inside AWS public sector partner programs, design the commercial mechanics that let partners transact and get rewarded through procurement vehicles and contract structures specific to this segment, and build the joint plays that partners take to their customers. This is a build role. The partner ecosystem is early, the programs are still being designed, and you will be operating across three organizations whose incentives on any given deal don't always line up. You will help shape how frontier AI technology reaches the public sector and nonprofit community through the partner ecosystem, including in classified environments where required. You will report directly to the Head of AWS GTM Partnerships and work closely with our Global Public Sector Leader. Key responsibilities - Develop and execute the GTM strategy for our public sector and nonprofit partnerships through AWS, including co-selling motions, joint business plans, events, and segment-specific plays across federal, state and local, education, and nonprofit - Own forecasting, pipeline development, and revenue targets for partner-sourced and partner-influenced business - Design the commercial mechanics that make the partner motion work, including deal registration, marketplace program structure, procurement and contract vehicle alignment, and incentives - Build and maintain executive-level relationships across AWS's public sector partner organization and across partner AWS practice leadership - Work with partners to develop repeatable, mission-specific solutions built on Claude, and help them build the delivery capability to take those solutions to public sector and nonprofit customers - Partner cross-functionally with Anthropic's alliances, public sector sales, partner marketing, policy, and regional cloud teams to keep the motion consistent while regions and segments execute locally - Create and implement scalable processes for partnership operations, including escalation management, business reviews, and reporting - Provide strategic market intelligence and competitive insights on the public sector and nonprofit partner ecosystem to inform product and commercial strategy - Identify where to concentrate investment across the partner portfolio and make the case to stop investing where returns are not there Minimum qualifications - Active security clearance (TS/SCI required) with ability to discuss capabilities in classified environments Enterprise partnerships, alliances, or business development experience, with meaningful time spent on partner ecosystems serving public sector or nonprofit customers - Proven track record of building and scaling partnerships with public sector-focused systems integrators, resellers, or channel partners - Experience building a co-sell or channel motion from the ground up, including the commercial mechanics behind it - Deep understanding of how cloud and partner field organizations operate in the public sector, including procurement processes, contract vehicles, and the incentives that drive seller and partner behavior - Track record of carrying and hitting a partner-sourced or partner-influenced revenue number, with credible forecasting behind it - Demonstrated ability to build credibility with and influence senior stakeholders - Excellence in strategic planning, business operations, and program management - Ability to balance strategic thinking with tactical execution, and a willingness to concentrate effort rather than spread thin - Experience working with technical products and translating complex capabilities into business value - Ability to travel up to 25% of the time Preferred qualifications - 12+ years of enterprise partnerships, alliances, or business development experience - Previous experience working with AWS or another hyperscaler's public sector partner organization - Working knowledge of public sector partner operating models, including practice structures, delivery economics, and how services and contract revenue drive partner decisions - Familiarity with government compliance and authorization frameworks (such as FedRAMP, IL levels, and StateRAMP) and how they shape partner-led deployments - Experience working with nonprofit, higher education, or philanthropic organizations and the funding dynamics that shape their technology decisions - Background in AI/ML technologies or with developer-focused platforms and their partner ecosystems - Experience scaling partner programs at a company moving from early traction to significant partner-driven revenue - Prior experience in management consulting or federal program management The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 - $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.
Product Manager, AI Capabilities
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product Managers at Perplexity work closely with design and engineering, focusing on the foundational AI capabilities that make our products more powerful, extensible, collaborative, and useful. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion for turning frontier AI capabilities into coherent products: in the application, please highlight the AI systems, platforms, or workflows you are most interested in advancing. THE ROLE The AI Capabilities team owns the product structures that turn intelligence into repeatable, composable experiences. This includes Skills that teach Computer how to work, collaboration that helps people and agents build together, artifact generation that turns ideas into polished outputs, and Projects that organize context, knowledge, and ongoing work. You will take these capabilities to the next level by identifying the highest-leverage user and platform problems, translating them into clear product direction, and partnering closely with design, engineering, data science, and research to deliver experiences that feel powerful, understandable, extensible, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, fluency in agentic systems, and an exceptional ability to turn technical primitives into products people can use. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in reusable, composable AI capabilities. - Envision and deliver a long-term vision for Skills, collaboration, artifact generation, and Projects. - Understand the levers for capability discovery, adoption, reuse, sharing, and ecosystem growth. - Work closely with engineering and design to align product expectations with model, tool, and platform capabilities. - Work with research to evaluate and steer nondeterministic models, tools, and agents into high-value outcomes for users. - Have conviction to make difficult product decisions in the face of uncertainty. - Develop a deep understanding of how individuals and teams create, customize, collaborate, and build repeatable workflows with AI. - Make complex AI behavior understandable and controllable through clear interaction models, thoughtful defaults, permissions, and well-designed feedback. - Drive alignment when capabilities span Computer, Search, Projects, artifacts, connectors, or multiple teams. - Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience building AI-native productivity, collaboration, platform, or developer-facing products. - Experience with agentic systems, tool use, evaluations, extensibility, or workflow orchestration. - Experience with rapid prototyping and designing systems that produce high-quality artifacts. - Experience building data-driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.
Member of Technical Staff (TPM, Inference)
Perplexity is looking for a technical program manager to be the connective tissue between our model providers, engineering, and product teams, driving our core inference platform forward. Perplexity runs one of the highest-throughput inference stacks in the industry, serving Ask, Computer, and API traffic across a large and constantly shifting portfolio of first-party and third-party models. This role sits at the intersection of product, engineering, and finance: you'll orchestrate across model providers and internal teams to keep new models and capacity moving smoothly into production, while executing the roadmap for the inference platform itself. The ideal candidate has strong technical judgment, thrives coordinating across teams and external partners with competing timelines, and is energized by building the operating model for a function that doesn't have much precedent yet. OUR MISSION Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends. WHAT YOU'LL DO Execute the roadmap for the inference platform — request handling, rate limits and quotas, usage controls, and the reliability and observability surface engineering and product teams depend on - Be the connective tissue between model providers and Perplexity's engineering and product teams — coordinating onboarding, launch readiness, and rollout for new models and capacity - Drive latency, throughput, uptime, and cost-efficiency as core execution metrics, surfacing tradeoffs between them rather than letting them become side effects - Run the operating model for model-release and optimization programs, including day-zero launches, across performance engineering, infrastructure, and product teams - Lead cross-functional delivery for inference-stack changes, from planning through launch and post-launch validation - Build the mechanisms that make releases predictable — rituals, dashboards, launch checklists — so inference releases stay low-risk at Perplexity's scale - Partner with GPU capacity and compute teams to reconcile execution decisions against cost, capacity, and vendor constraints QUALIFICATIONS - Strong experience with technical program management or product management in infrastructure, distributed systems, or ML/model-serving products - Direct experience with production LLM or ML inference — understanding what makes serving fast, reliable, and cheap rather than just what a roadmap slide says about it - Comfort orchestrating across external partners and internal engineering teams with competing priorities and timelines - Experience with data and metrics, and the judgment to surface difficult tradeoffs between latency, throughput, uptime, and cost - Thrives in a small, agile team; has initiative and desire for ownership without much precedent to lean on - 6+ years of combined technical program management or product management experience
People Partner, Engineering
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for an exceptional senior People Partner based in the Seattle or San Francisco Bay Area to support our Product and Core Technology teams, specifically Engineering teams. This role will be a critical member of the People Partner team, working on key HR projects in alignment with our partners across Compensation, Benefits, Recruiting, and others while providing excellent coaching and strategic support to senior leaders and managers across technical functions who are building the products and infrastructure that power Anthropic's AI systems. You will help build out HR policies and strategies that meet your clients' unique needs, and act as a trusted leader and guide on a wide range of employee-related topics. Key responsibilities - Act as a trusted advisor and coach to leaders across Product and Engineering teams, including senior technical leaders and executives - Provide support to employees and managers on all human resource-related topics throughout their lifecycle at Anthropic in partnership with other People team experts (e.g. Benefits, Compensation, Performance etc.) - Work closely with management to create a culture of high performance based on our values and team culture while helping ensure that performance management and employee relations issues are managed appropriately - Act as a partner and liaison with specialist teams (e.g. Benefits, Compensation, etc.), leadership, and finance, to help Anthropic continue to implement top-tier, scalable programs and policies to attract, retain, and grow outstanding talent at Anthropic - Work on cross-functional projects with other HRBPs and partners in specialist teams to enable and grow our Ants (e.g. Manager training, etc.) - Partner with technical leaders on organizational design, team scaling strategies, and talent development initiatives specific to product and engineering organizations - Support career development frameworks and progression paths unique to technical roles Minimum qualifications - Have experience operating at a fast-growing Tech company in HR, and fluency with employment law and best practices in North America - Have worked at a tech company, start-up, or a similarly fast-paced environment - Have experience partnering with technical organizations and understand the unique dynamics of product and engineering teams Preferred qualifications - Have a minimum of 6+ years experience working in HRBP, People Operations, Employee Relations, Recruiting, or other closely related functions - Have specific experience supporting Product,Engineering, or Infrastructure teams - Have experience in AI/ML companies or with technical teams building cutting-edge technology products - Understand technical career ladders, engineering culture, and the unique challenges of scaling technical organizations - Care deeply when it comes to helping and supporting a diverse set of people at all levels of an organization, excelling in supporting employees and managers to do their best work - Have proven experience and skill sets in providing confidential, practical support and are trained in topics like conflict resolution - Have strong working knowledge of human-resource-related best practices and are able to effectively implement these in a culturally appropriate fashion - Be a pragmatic problem-solver and enjoy developing creative solutions - Thrive in building and scaling processes, and enjoy identifying and setting up new systems at a quickly growing company - Care about ensuring that advanced AI systems are developed safely, and have a deep curiosity about artificial intelligence and its potential applications The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $310,000 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.
Technical Program Manager, Model Deployment & Capa...
About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. The ChatGPT infrastructure team is responsible for ensuring that our products can serve rapidly growing demand with the performance, reliability, and quality our users expect. This work sits at the intersection of product demand, model deployment, inference, research, fleet, and capacity. The team translates changing product and model needs into clear capacity decisions and safe, scalable launches. About the Role We are seeking a Technical Program Manager to lead the operating system for Chat capacity and model deployment. You will connect demand forecasting and capacity allocation with model readiness, rollout planning, launch coordination, and post-deployment learning. You will also own mode deployment beyond capacity by working with cross functional teams across research, post-training, inference and product to own mainline model deployment. You will bring structure to constrained-capacity decisions, improve the tooling and mechanisms teams use to prioritize demand, and help new models reach users safely and efficiently. Success requires technical depth, sound judgment under ambiguity, and crisp execution across product, research, infrastructure, and operations teams. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own cross-functional programs for Chat capacity forecasting, allocation, headroom planning, and constrained-capacity operations. - Build durable intake, prioritization, and decision mechanisms that connect product demand and model requirements to available serving capacity. - Partner with product, research, inference, fleet, and capacity teams to develop scenarios, surface tradeoffs, and drive timely allocation decisions. - Lead model deployment readiness and rollout planning, including serving-capacity allocation, launch sequencing, validation, and operational handoffs. - Establish clear readiness gates, risk reviews, rollback criteria, and escalation paths for model deployments. - Drive launch coordination through deployment and post-launch learning, turning recurring gaps and manual work into scalable tooling and operating practices. - Define and operationalize metrics for forecast accuracy, capacity utilization and headroom, deployment velocity, reliability, latency, quality, and user impact. - Create concise, decision-ready communications that make dependencies, risks, capacity constraints, and launch choices clear to technical and product leaders. You might thrive in this role if you: - Have led complex technical programs in infrastructure, distributed systems, capacity planning, model serving, or large-scale deployment environments. - Can reason credibly about demand, supply, headroom, reliability, latency, and quality tradeoffs, and translate them into executable plans. - Have built operating mechanisms or tooling that replaced fragmented, manual workflows with scalable systems and clear ownership. - Are effective in high-ambiguity, constrained environments where priorities change and decisions require explicit tradeoffs. - Build alignment across research, engineering, product, finance or capacity planning, and operations without relying on direct authority. - Use metrics to guide decisions, identify bottlenecks, and demonstrate measurable improvements in throughput, predictability, or reliability. - Communicate with precision and can move comfortably between technical detail, operational execution, and executive-level decisions. - Thrive in ambiguous, scaling environments and can bring order to complex cross-functional work without losing pace. - Care about OpenAI's mission and about expanding responsible access to advanced AI systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Staff Software Engineer, Observability & Profiling
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 Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on—from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems. As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude—and an increasing share of the hardest problems live below the application layer. We're building next-generation observability systems—high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools—so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard. Key responsibilities - Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure - Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet - Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth - Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes - Reduce mean time to detection and resolution by building cross-signal correlation—from kernel-level events up to application traces—unified query interfaces, and AI-assisted diagnostic tooling - Drive fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets - Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization Minimum qualifications - Have hands-on experience building and operating large-scale observability or monitoring infrastructure - Have deep, hands-on experience with observability signals end to end—from instrumentation through ingest to query and analysis - Understand high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale - Are comfortable digging below the application layer into the kernel, the network stack, or the hardware - Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities - Are excited about building foundational infrastructure and comfortable navigating ambiguous, high-impact technical challenges, both independently and with a team Preferred qualifications - 10+ years of relevant industry experience, including building and operating large-scale observability or monitoring infrastructure - Experience building or operating eBPF-based observability in production—tracing, profiling, or network visibility - Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization - Kernel- and syscall-level debugging experience and performance engineering craft - Experience profiling or instrumenting accelerator workloads - Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends - Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies - Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting 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 - £390,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Engineering Manager, Safeguards
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for an Engineering Manager to lead our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms. This is a foundational role: you'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes analytics capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. As model capabilities and usage grow, you'll also drive how we scale review through automation — building systems where Claude meaningfully extends what human reviewers can do, while keeping people in the loop where their judgment matters most. You'll partner closely with policy, operations, data science, and legal teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities - Lead, grow, and develop a team of engineers building investigation, review, and enforcement tooling for both first-party and third-party platform surfaces - Define the vision and roadmap for our review tooling platform, including analytics, privacy-compatible data access primitives, and a sandbox for rapidly developing new review interfaces - Drive the team's strategy for scaling review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows - Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems - Ensure review tooling evolves alongside new privacy primitives and data retention commitments, so reviewers can do their work without compromising user trust - Create clarity for the team and stakeholders in an ambiguous and evolving environment - Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team - Contribute to engineering-wide initiatives as a member of Anthropic's engineering management community Minimum qualifications - Experience managing software engineering teams, including hiring, coaching, and developing engineers - A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions - Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably - Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams - Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders - Care about the societal impacts of AI and want your work to make powerful systems safer Preferred qualifications - 4+ years of management experience, 10+ years of industry software engineering experience - Experience building trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale - Experience designing systems under strict privacy, compliance, or data governance constraints, such as zero data retention environments - Experience integrating LLMs or agentic systems into operational workflows, or building human-in-the-loop automation - Experience building developer platforms or extensible tooling frameworks that other teams build on top of - Experience supporting enforcement or moderation systems across multiple product surfaces, including enterprise or cloud platform contexts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 - £390,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff Software Engineer, RL Environments
About Scale AI 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. Scale Frontier Data is the organization behind the training and evaluation data that frontier labs depend on. We build the systems, tooling, and expert workflows that turn hard human expertise into signals that models can learn from, across reasoning, coding, agentic tool use, and domain expertise. Reinforcement learning environments are now the center of gravity for that work: the difference between a model that demos well and a model that reliably completes long-horizon work is almost always the quality of the environments and reward signals it was trained against. Responsibilities As a Staff Software Engineer, RL Environments, you'll own the technical foundation for how Scale builds, runs, verifies, and delivers RL environments at scale. An RL environment is a real piece of software: a containerized world with real dependencies, real state, real tools, and a grader that has to be correct even when the agent is creative about breaking it. Building one is a full-stack engineering problem. Building thousands of them reproducibly, cheaply, with trustworthy reward signals and throughput measured in millions of rollouts is a systems problem that very few people have solved. You'll work on both. You'll design the platform: sandboxed execution, environment packaging and versioning, rollout orchestration, trajectory capture, verifier frameworks, and the authoring surfaces that let engineers and domain experts produce environments without reinventing infrastructure each time. And you'll go deep on the environments themselves by instrumenting real applications, designing task suites that expose specific capability gaps, and building graders that hold up under adversarial optimization. This is a hands-on engineering role. You'll set technical direction across multiple teams, and you'll still be the person who writes the hard part. Required Qualifications - 8+ years of software engineering experience with strong fundamentals in distributed systems, system design, data structures, and algorithms. - Strong Python skills and a track record of shipping production software; comfort in at least one other part of the stack (TypeScript/React, Go, Rust, or similar). - Deep experience with containerization and sandboxed execution, including Docker, VMs, gVisor/Firecracker, Kubernetes, or equivalent. - Experience building or operating high-throughput backend systems: orchestration, job scheduling, queuing, and large-scale data pipelines. - Hands-on experience building with LLMs including agent loops, tool calling, MCP, or eval harnesses, and enough intuition about model behavior to reason about what a training signal actually teaches. - Demonstrated ability to own ambiguous, undefined problems end to end and drive them to a shipped system. - Excellent written and verbal communication; ability to align engineers, researchers, and non-engineering partners on a technical direction. Preferred Qualifications RL & Post-Training - Direct experience building RL environments, agentic benchmarks, or eval harnesses (SWE-bench-style task suites, terminal or browser environments, tool-use benchmarks, or in-house equivalents). - Familiarity with post-training methods: RLHF, RLAIF, RLVR, GRPO/PPO-family algorithms, rejection sampling, reward modeling, and the practical failure modes of each. - Experience designing verifiable reward signals, and firsthand experience with reward hacking and how to defend against it. - Experience with RL training or serving stacks (verl, TRL, Ray, vLLM, SGLang, or similar). Systems & Infrastructure - Experience with high-scale sandbox or code-execution infrastructure, remote development environments, or CI systems. - Experience with cloud-native infrastructure across AWS/GCP/Azure, Infrastructure as Code, and CI/CD. - Strong observability instincts: tracing, structured logging, and metrics for systems whose failure modes are statistical rather than binary. - Experience building internal tools that non-engineers rely on daily, especially data-dense review and annotation interfaces. Ways of Working - Experience in a research-adjacent engineering role, translating research goals into production systems. - Experience working directly with sophisticated external technical customers. - Prior technical leadership at staff level or above in a fast-moving, ambiguous environment. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000 - $315,000 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.
Applied AI Architect, Cyber
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.
Applied Researcher I
Applied AI research role on Capital One's AI Foundations team. Partner with software engineers and ML engineers to build foundation-model systems, working through design, training, evaluation, validation, and implementation with tools including PyTorch, AWS, and Hugging Face.
Senior Lead AI Engineer (GenAI Platform Services,...
Senior AI platform role building agentic GenAI services. Develop AI and ML algorithms and platform capabilities, apply research ideas in production, and drive technical decisions across responsible, enterprise-scale AI systems.
Senior Lead Machine Learning Engineer
Senior ML engineering role on enterprise-wide AI coding tools. Lead production ML application design and implementation, review model and application code, shape ML architecture and reliability, and apply current ML engineering practices at scale.
Lead Machine Learning Engineer
Production ML engineering role focused on enterprise-wide AI coding tools. Build and deploy machine learning applications at scale, own model and application code, improve ML infrastructure, automate deployment and monitoring, and work across product, data science, and engineering teams.
Customer Solutions Engineer, Korea
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Seoul, South Korea, Singapore What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
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