Search AI Jobs
16,591 published AI roles — filter by keyword, skill, seniority or contract type.
16,591 results
Updated
Director of Engineering, AI Agents
Engineering leadership role for Asana's AI Teammates pillar, owning agent orchestration, model rollouts, evaluation infrastructure, MCP, and enterprise AI product architecture.
Software Engineer — Agentic data pipelines
Agentic data engineering role building LLM-driven systems that acquire, validate, and document large-scale biomedical datasets for multimodal model training.
Senior Software Engineer, Caper AI
Senior software engineering role at Caper AI building LLM, multimodal, and computer-vision systems for connected retail technologies, data pipelines, and operational tooling.
Sr. Software Engineer II - AI Engineering (Remote...
Senior applied AI engineering role building production LLM agents, RAG pipelines, evaluation frameworks, and AI operations standards for Smartsheet SmartAssist.
Principal Applied AI Architect
Customer-facing applied AI architecture role implementing and scaling ServiceNow AI capabilities, including agentic AI, LLM-driven workflow automation, evaluation, and enterprise deployment patterns.
Associate Director, AI/ML Engineering
Senior AI/ML engineering role in Data, AI, and Genome Sciences, building reusable AI/ML workflows, foundation-model pipelines, and production tooling for biomedical discovery.
Staff Software Engineer – SRE & AIOps
Staff SRE and AIOps role driving infrastructure automation, reliability, and operational efficiency for AI-adjacent hybrid cloud and data center systems.
Senior Software Engineer - SRE & AIOps
Senior SRE and AIOps engineering role focused on infrastructure automation, operational resilience, and toil reduction across hybrid cloud and data center operations.
Principal AI Platform Engineer
Principal platform engineering role leading technical direction for a strategic AI business, with focus on scalable AI platform architecture and infrastructure.
Senior Staff Software Engineer, Agentic Systems -...
Staff-level AI infrastructure role building the runtime systems that orchestrate, execute, and deliver Moveworks AI agent responses to enterprise users in real time.
Senior Staff Machine Learning Engineer, Agentic Sy...
Senior ML infrastructure role on the Moveworks agentic AI platform, focused on building and serving LLMs, production ML systems, and the infrastructure that powers enterprise AI agents.
Sales Manager, AI
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe is building the economic engine for AI – and it’s working. Today, 88% of the Forbes AI 50 are building on Stripe (and most of the remaining 12% are pre-monetization). The AI GTM team is focused on helping AI-native businesses monetize and scale. We're in a unique position—partnering with the world's most ambitious AI companies (like OpenAI, Anthropic, ElevenLabs, and NVIDIA) to help them grow. This is one of the fastest growing parts of the business, and we need more great people to help us continue to accelerate. What you'll do As a Sales Manager on the AI GTM team at Stripe, you will leverage your sales leadership and product expertise to drive growth through new and existing strategic AI customers. Reporting to the Chief Revenue Officer of AI, you will lead a team of Account Executives responsible for expanding Stripe's relationship with some of the most important AI companies in the world—across payments, billing, and beyond. You will be instrumental in leading in-depth product discussions with customers, developing consultative and solution-based sales strategies, and building deep knowledge of the AI industry and its unique monetization challenges. You will collaborate closely with Product, Marketing, Product Marketing, and User Operations teams to develop and execute against our go-to-market strategy. Responsibilities - Develop the long-term vision for a growing AI GTM team and scale day-to-day operations. - Lead and manage a team of Account Executives managing existing AI accounts (driving revenue expansion, product attach, and retention) and looking for new business opportunities. Establish strategic plans and objectives to drive growth across the AI GTM business line, guiding execution to KPIs. - Build and develop a high-performing team, fostering a strong culture of energized and engaged Stripes while investing in the growth and development of your team. Coach and guide the team in developing consultative and solution-based sales skills throughout the sales cycle. - Be accountable for driving revenue, increasing product attach rates, and growing existing clients at high rates. - Engage with Product, Marketing, and User Operations teams to influence our product roadmap (you are on the frontier!) and accelerate our growth trajectory for our AI industry users. - Serve as both an internal and customer-facing expert on Stripe's products, particularly as they apply to AI-native business models (usage-based billing, marketplace payments, embedded finance, agentic commerce). - Build strong relationships with customer executives (CEO, CFO, CTO) and serve as a trusted advisor on how Stripe can support their growth. - Create best practices and improve the business and customer engagement model. Who you are Sales leader. You are an adept sales leader, capable of engaging in business-level and technical conversations at multiple levels of the organization. You see value in competitive situations and enjoy working on products that require both deep product understanding and technical knowledge, especially for AI industry users. People developer. You are a strong people leader who builds high-performing teams through coaching, accountability, and culture. You're as comfortable working with clients as with internal stakeholders (including executives) and are excited to become an expert and share your knowledge. You possess an organized, self-starter mindset and excellent communication skills, with a track record for improving the processes and organizations around you. AI enthusiast. You have deep context in the AI industry and are energized by keeping up with new developments in the space. You bring a user-first mindset— you approach every customer interaction as a consultative partner rather than a transactional seller. Technically curious. You understand APIs, webhooks, and modern developer tools—and you can hold credible conversations with engineering leaders about how Stripe's infrastructure fits into their stack. Minimum requirements - 8+ years of sales leadership experience, launching and growing high-functioning sales teams/products. - 10+ years of experience in hyper-growth SaaS or technology environments across the AMER region. - Demonstrated success managing existing/growth customer portfolios and driving revenue expansion. - Proven ability to be a self-starter, capable of driving business results without significant supervision. - Ability to understand complex technical requirements and craft solutions across multiple stakeholders. - Deep understanding of AI industry dynamics, business models, and monetization strategies (usage-based pricing, API-first distribution, agentic commerce). - Strong product acumen—ability to learn and articulate complex product capabilities, understand how they work technically, and connect them to user needs. - Excellent verbal and written communication skills, including strong presentation skills for in-person meetings with multiple stakeholders. - An enthusiastic "roll up your sleeves" mentality. - Proven ability to lead complex negotiations involving bespoke agreements with commercial and enterprise businesses. Preferred qualifications - Industry experience in payments, financial infrastructure, developer tools, or AI/ML platforms. - Existing relationships within the AI ecosystem (AI labs, AI-native SaaS companies, developer platforms). - Experience selling complex platform solutions involving multiple products. - Prior experience at a growth-stage software company or a leading payments/fintech company. - Familiarity with Stripe's product suite and how AI companies leverage financial infrastructure to scale.
Senior Customer Engineer, Majors - Pittsburgh, PA
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: Pittsburgh, PA 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. 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. 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 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. 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.
Global Payroll Analyst
In this role, you’ll coordinate and manage technical payroll accounting activities across Scale’s global footprint. You’ll manage the preparation, maintenance, processing, analysis and auditing of manual and automated payroll data, information, records and reports – ensuring accuracy and completeness of payroll transactions. You’ll also lead, train and provide guidance to internal and external partners, and serve as a clear point of contact for resolving payroll related inquiries. English fluency is required. You will: - Support End-to-End Payroll Processing: Execute multi-frequency domestic and international payroll cycles, accurately managing all compensation inputs, deductions, and employee lifecycle changes. - Compliance & Audits: Perform rigorous pre- and post-payroll audits, investigate and resolve discrepancies, and ensure strict adherence to all multi-jurisdictional tax, labor, and company regulations. - Accounting & Reporting: Support payroll accounting functions, including month-end close, reconciliations, journal entries, management reporting, and year-end tax activities (e.g., W-2s). - Employee Support & Vendor Management: Operate the payroll help desk as the primary resource for employee inquiries and coordinate daily with external vendors, PEO/EOR partners, and tax agencies. - Systems & Process Optimization: Leverage HRIS and modern technologies (including AI tools) to maintain confidential records, adapt to legislative changes, and continuously improve workflow efficiency and accuracy. Ideally you'd have: - Experience executing multi-frequency domestic and international payroll cycles, managing compensation inputs, deductions, and employee lifecycle changes. - Perform pre- and post-payroll audits, resolve discrepancies, and ensure compliance with multi-jurisdictional tax, labor, and company regulations. - Manage payroll accounting: month-end close, reconciliations, journal entries, management reporting, and year-end tax activities (e.g., W-2s). - Use HRIS and AI-enabled tools to maintain confidential records, adapt to legislative changes, and improve workflow efficiency. - Strong problem-solving and technical aptitude, including ability to learn AI-enabled tools and new systems. - 2+ years processing international payroll, with working knowledge of PEO/EOR systems. Nice to haves: - Skilled in preparing, verifying, and auditing payroll records with strong attention to detail and compliance in using tools including ADP. - Understanding of domestic and international payroll law, retirement systems (401(k), IRC 125, HSA), tax withholding, and benefits. - Bring genuine enthusiasm for supporting global employee questions and resolving issues. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Senior Employee Relations Partner
About the Team OpenAI’s People team is committed to hiring, engaging, and supporting world-class talent to help safely build and deploy universally beneficial Artificial General Intelligence (AGI). The Global Employee Relations and People Standards team brings together expertise in employee relations, employment investigations, and People compliance, policy, and standards. We play a critical role in shaping how OpenAI supports its people through complexity, growth, and change. Our team guides and supports the company through some of its most nuanced and high-impact people challenges. We operate with deep context and care, balancing trust, judgment, and creativity in every situation. We don’t default to predefined frameworks. Instead, we take a principled yet flexible approach, designing thoughtful, tailored solutions that reflect our values, the needs of our employees, and the unique pace of OpenAI. 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. About the Role We’re looking for a Senior Employee Relations Partner to focus on the non-investigative side of ER work, supporting high-trust, high-impact people matters. This includes conflict resolution, high-risk performance management, sensitive employee exits, and navigating workplace dynamics that require thoughtful, strategic support even when they don’t involve formal investigations. This role will report to the senior manager of the team. We're looking for someone who brings creativity, flexibility, and a deeply human-centered approach to solving people challenges. You’re energized by complexity and nuance, and instinctively seek out tailored, thoughtful solutions rather than one-size-fits-all answers. You don’t just apply rules; you understand context, think strategically, and help leaders make principled decisions that reflect our values and evolving culture. This role is a fit for someone who adapts quickly, thrives in uncertainty, and focuses on what’s possible, not just what’s standard. This work requires exceptional interpersonal skills and the ability to connect across all levels, build trust quickly, and guide leaders with clarity and confidence. You should be comfortable in a high-growth, fast-changing environment, making sound decisions with imperfect information. You bring expertise in navigating high-tension, highly escalated employee situations, and remain calm, clear-headed, and grounded under pressure. You’ll approach your work with urgency, empathy, and strong judgment, serving as a collaborative partner and steady presence in nuanced people moments. Your impact will help reinforce a culture of clarity, accountability, and psychological safety, and support leaders and teams in doing their best work through times of growth and complexity. This role will report to the senior manager of the team and will collaborate closely with cross-functional partners across the People Team. In this role, you will: - Advise and guide managers, HRBPs, and cross-functional partners through complex or high-risk employee situations, including performance management, conflict resolution, reorganizations, and difficult conversations. You’ll bring emotional intelligence and principled thinking to every interaction. - Help shape the responsible adoption of AI-enabled tools within ER, identifying opportunities to improve workflows, knowledge sharing, and service delivery while maintaining confidentiality, appropriate safeguards, and meaningful human review. - Help build scalable tools and frameworks that strengthen ER support across the company and reduce over-reliance on formal processes or investigations. - Translate recurring ER challenges into scalable tools, guidance, operating practices, and manager resources without creating unnecessary process or bureaucracy. - Act as a sounding board and escalation partner for workplace culture concerns, manager-employee dynamics, and early signals of broader people issues. - Collaborate cross-functionally with HRBPs, Legal, cross-functional partners, and leadership to ensure alignment on people decisions, organizational changes, and policy implementation. - Navigate ambiguity with a proactive, calm, creative, and solutions-oriented mindset, helping to clarify issues and move toward resolution in a dynamic, evolving environment. - Use data and insight to identify trends and advise on systemic solutions that promote trust, engagement, and long-term cultural health. You may thrive in this role if you have: - A Bachelor’s degree with 10+ years of experience in employee relations or other People roles, ideally in high-growth, fast-paced, and highly dynamic environments. Experience in tech, research, or mission-driven orgs is a plus. - A non-conventional mindset. You bring creative, outside-the-box thinking to complex people issues, and you’re not bound by the way things have always been done. You know when structure helps, and when a bespoke approach is the better path. - Proven experience managing high-tension, highly escalated employee situations with discretion, empathy, and calm under pressure. You know how to de-escalate effectively, build trust in difficult moments, and support people through emotionally charged or high-stakes scenarios. - A proven track record of handling complex matters with a steady, thoughtful, and pragmatic approach. - Exceptional interpersonal and relationship-building skills—you build trust quickly, communicate with warmth and clarity, and can connect with employees, managers, and senior leaders alike. - Demonstrated ability to design and implement scalable solutions—not only manage individual cases—including frameworks, tools, operating practices, or programs that improved how an organization handled recurring people challenges. - Experience and passion adopting or championing new technology, including AI-enabled tools, to improve team workflows. You approach AI adoption thoughtfully, with attention to confidentiality, accuracy, safeguards, and human judgment. - Strong executive presence and the ability to earn credibility with senior leaders and executives. You communicate a clear point of view, support it with sound reasoning, and remain open and adaptable when challenged. - A track record of operating effectively when policy, precedent, ownership, or the path forward is unclear. You can create structure from ambiguity and make progress without waiting for perfect information. - A low-ego, high-ownership mindset. You’re equally comfortable advising executives and rolling up your sleeves to fine-tune a template, fix a process, or support an employee through a difficult moment. - Strong instincts for people and culture, with the ability to read situations, understand organizational dynamics, and offer grounded, empathetic guidance. - Excellent verbal and written communication skills, especially when navigating sensitive or high-stakes conversations. - Comfort operating in ambiguity and rapid change, with the ability to move quickly and decisively while staying aligned with OpenAI’s mission and values. - A commitment to fairness, discretion, and principled decision-making. You’re thoughtful, balanced, and clear-eyed, even under pressure. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Full Stack Software Engineer, Product Explorations
About the Team The Product Explorations team is a small, high-ownership product exploration group focused on turning new model capabilities into impactful user experiences. We operate across Applied and Research, working closely with product, engineering, design, and research partners to identify promising opportunities, prototype quickly, validate ideas, and determine which efforts should scale into larger product investments. Our objective is broad: discover and build experiences that can meaningfully improve user engagement, product impact, and revenue across OpenAI’s products. We move quickly, follow strong product signals, and take ideas from early exploration to meaningful user impact. About the Role We are looking for product-minded full stack engineers to join the Product Explorations team and drive high-impact, net-new product explorations. In this role, you will independently identify promising opportunities, move quickly from idea to prototype, and work across teams to validate and launch new experiences. You will operate with a high degree of autonomy, use strong product intuition, and make thoughtful decisions in ambiguous environments. You may work on a new ChatGPT experience one week, explore a new model capability the next, and partner with Research or Applied teams to turn the strongest ideas into scalable products. This role is a strong fit for someone who enjoys building from scratch, iterating quickly, and working on projects where the path forward is not always obvious. In this role, you will: - Identify and pursue high-leverage product and technical opportunities across OpenAI’s products - Move quickly from idea to prototype, validation, launch, and iteration - Build full stack product experiences that unlock value from new model capabilities - Work closely with Research, Applied, product, design, data science, and engineering partners - Use user feedback, product signals, and experimentation to determine which ideas should scale - Drive alignment across teams and helping shape a culture of speed, ownership, curiosity, and thoughtful experimentation You might thrive in this role if you: - Have experience building and shipping full stack product experiences, from early prototypes through production - Thrive in early-stage, highly iterative environments and can move quickly from idea to execution with limited structure - Bring strong product intuition and an ability to identify what matters most for users and the business - Communicate clearly and collaborate effectively across engineering, product, design, and research - Bring a high degree of autonomy, agency, and ownership in ambiguous environments - Want to work at the intersection of model capabilities, product development, and user impact Location: - This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Field Marketing Lead, APAC
About OpenAI OpenAI is an AI research and deployment company committed to ensuring that artificial general intelligence benefits all of humanity. Our mission requires a team that brings diverse perspectives, strong judgment, and a deep commitment to safe and beneficial deployment. About the role We are seeking an experienced APAC Field Marketing Lead to build and lead OpenAI’s B2B demand-generation engine across the region. Reporting to the APAC B2B Lead, this person will own the regional strategy that turns market opportunity into repeatable, measurable pipeline. This is a senior, hands-on role at the intersection of digital demand generation, field marketing, and regional enablement. You will build scale programs that country teams can localize and deploy, while partnering closely with APAC event teams to make events a more strategic, measurable part of the demand-generation mix. Responsibilities - Define and execute APAC B2B demand-generation strategy aligned with GTM, revenue, segment, and pipeline priorities - Build scale digital programs across lifecycle, webinars, nurture, paid/owned channels - Create regional campaign frameworks, content kits, audience strategies, and localization guidance that help country teams move faster and perform better - Partner with country marketers and GTM leaders to identify local pipeline gaps, adapt programs, and prioritize support - Lead demand-generation strategy for the APAC event portfolio, including event selection, audience acquisition, sales plays, follow-up, conversion, and ROI - Connect events, digital journeys, content, and Sales follow-up into integrated full-funnel programs - Partner with Sales, RevOps, and Marketing Ops on funnel health, lead quality, attribution, dashboards, and experimentation - Translate global B2B programs into APAC-ready motions and bring regional insights back into global strategy - Manage agencies, vendors, budgets, timelines, reporting, and post-program learning loops - Establish a clear operating rhythm for planning, performance reviews, and investment decisions Qualifications - 15+ years of experience in B2B, enterprise, field, demand-generation, or integrated marketing, ideally across multiple APAC markets - Proven track record building digital and scale programs that generate or influence enterprise pipeline - Strong experience with lifecycle, webinars, events, content, paid/owned channels, and Sales follow-up - Demonstrated ability to partner with Sales and RevOps to improve funnel performance and connect marketing to revenue outcomes - Experience supporting distributed country teams and influencing effectively in a regional-global matrix - Strong strategic judgment on event portfolio choices, audience strategy, and post-event conversion - Analytical fluency with CRM, marketing automation, attribution, dashboards, and campaign performance data - Excellent communication, stakeholder management, and executive presence - High ownership, adaptability, and comfort building systems in fast-moving, ambiguous environments Preferred qualifications - Experience marketing AI, developer, SaaS, cloud, infrastructure, data, or other technical products - Familiarity with Salesforce, Marketo, event platforms, intent tools, and marketing analytics workflows - Experience with partner-led GTM, ecosystem co-marketing, or account-based orchestration - Exposure to regulated or trust-sensitive industries across APAC - Experience in high-growth technology companies or global-local matrix organizations - Fluency in an APAC language in addition to English Why this role matters APAC is a strategically important and highly diverse growth region for OpenAI. The right marketer will build the scalable programs, country enablement model, event strategy, and measurement discipline required to turn regional momentum into durable enterprise pipeline. This role will shape how OpenAI’s B2B marketing engine operates across APAC at a pivotal moment for AI adoption. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Executive Programs Lead, Americas
About the Team Enterprise Marketing helps the world’s largest organizations understand, adopt, and scale AI. Our Executive Engagement programs bring OpenAI’s products, research, and perspective into the room with senior leaders as they consider how intelligence can be put to work against their most important priorities. These engagements are more than briefings or events. At their best, they help a leadership team understand what is changing, distinguish what is possible now from what is still emerging, and leave with greater clarity about what to do next. About the Role We are looking for an Executive Programs Lead, Americas to build and lead the portfolio through which OpenAI engages its most important customers and executives across the region. You will own the regional strategy, team, and quality bar for Executive Briefings and a broader portfolio of C-suite engagements, recurring executive forums, advisory programs, and proven formats ready to scale. Your mandate is to turn high-stakes customer moments into a durable business capability, one that consistently advances important relationships while preserving the judgment and customization that exceptional executive experiences require. This is a senior people-leadership role for a builder who can set direction, make disciplined portfolio choices, and create the systems and team required to deliver at scale. You will partner closely with Sales, Product Marketing, Product, Research, Solutions, Customer Success, Events, and OpenAI executives, moving comfortably between long-term design and the critical details of a live engagement. This role is based in San Francisco. We use a hybrid model of three days in the office each week and offer relocation assistance. Given the customer-facing nature of the role, regular in-person participation in executive briefings and related preparation is expected and may require additional time onsite. Travel across the Americas and occasional global travel are also expected. In this role, you will: - Own the Americas portfolio of recurring executive-engagement programs and the regional capability that supports them, setting its strategy, priorities, investments, and measures of success. - Lead and develop the regional team responsible for program strategy, operations, and delivery, creating clear ownership and an unusually high standard of execution. - Translate enterprise and regional priorities into a focused portfolio, including where executive engagement can materially advance an important customer relationship or business outcome. - Build an operating model that enables consistent quality and responsible scale while preserving the judgment required to determine what should be repeatable and what should remain bespoke. - Ensure priority programs bring together the right customer context, narrative, speakers, demos, experience, and follow-through. - Partner with Sales leadership and customer-facing teams to connect each engagement to meaningful customer objectives, decisions, and next steps. - Establish measures that connect customer insight, relationship progress, business results, experience quality, and operational health. - Manage regional resources, budget, vendors, and capacity with discipline, making clear tradeoffs and surfacing risks early. - Represent the Americas in global planning and help successful approaches travel across regions while preserving what needs to remain locally owned. You might thrive in this role if you: - Have 10+ years of experience building or leading executive programs, customer engagement, enterprise marketing, experience centers, field marketing, or a comparable enterprise capability. - Have led and developed a high-performing team with accountability for a visible portfolio, not only individual programs. - Have built or transformed a high-touch customer capability, moving it from reactive or heavily bespoke delivery toward a more strategic and scalable model. - Bring strong commercial judgment and credibility with senior Sales leaders, customers, and internal executives. - Understand the difference between an exceptional executive experience and a polished event—and can connect that experience to meaningful customer and business progress. - Know how to prioritize rigorously, say no constructively, and make difficult resource decisions without losing stakeholder trust. - Can translate strategy into a working system with clear ownership, strong standards, and reliable execution. - Can operate credibly in a fast-moving technical environment and build effective partnerships across Product, Research, Marketing, Sales, and customer-facing teams. - Move comfortably between setting direction, developing leaders, reviewing the system, and personally stepping into a critical moment. 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.
EMEA Vendor Lead, Ad Sales
About the Team The SMB Ads team helps businesses discover, adopt, and grow with OpenAI’s advertising solutions. As we scale globally, we are building a high-performing sales organization that combines operational excellence, strong customer experiences, and AI-native ways of working. We partner closely with Sales, Revenue Operations, Finance, Product, Enablement, Program Management, and external BPO partners to drive advertiser acquisition, activation, revenue growth, and retention. About the Role We are hiring a Vendor Lead to build and scale the outsourced operating model that supports our Ads business in EMEA and globally. This is a builder role. You will design the governance, performance systems, capacity plans, quality programs, and accountability mechanisms that enable our BPO partners to deliver exceptional commercial outcomes. You will work across internal teams and external partner leadership to improve seller productivity, advertiser growth, forecasting accuracy, and operational quality. This is a highly cross-functional individual contributor role that sits at the intersection of Ads Sales, SMB, Revenue Operations, Finance, Enablement, Product, Program Management, and external BPO leadership. You will help define how OpenAI operates with external partners and build the systems, processes, and accountability mechanisms that enable the business to scale. In this role, you will: - Build and scale BPO operating models, governance structures, and performance frameworks for Ads. - Drive results across revenue, pipeline, advertiser acquisition, activation, retention, seller productivity, and quality. - Lead business reviews and executive governance forums with BPO partners and internal stakeholders. - Develop scorecards, forecasts, inspection mechanisms, and escalation processes that surface risks early. - Improve sales quality through playbooks, QA frameworks, coaching programs, and performance analysis. - Partner with Sales, Revenue Operations, Product, Enablement, Finance, and Program teams on new products, markets, and sales motions. - Create workforce and capacity plans aligned to business demand and growth forecasts. - Determine which customer segments and sales motions should be handled by BPO partners versus internal teams. - Use AI, automation, and scalable systems to improve execution, visibility, and seller productivity. You might thrive in this role if you have: - 5+ years of experience in vendor operations, commercial operations, outsourced sales, or a scaled revenue organization. - Experience in Ads, advertiser growth, performance marketing, or a comparable SMB sales motion. - Working knowledge of sales funnels, forecasting, advertiser activation, spend growth, retention, and churn. - Experience improving operating processes, scorecards, quality programs, or capacity plans across vendors or markets. - Strong analytical, operational, and communication skills, with the ability to turn data into clear actions and work effectively across teams. - Interest in using AI and automation to improve execution, visibility, and seller productivity. Workplace & Location - This role is based in Dublin, Ireland. We use a hybrid work model of 3 days in the office per week. Occasional travel will be 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.
Technical Program Manager, Applied Infrastructure
Technical Program Manager – Applied Infrastructure About the Team The Applied team safely brings OpenAI’s technology to the world, powering products like ChatGPT, and the APIs for GPT and more. Behind these products is a complex and rapidly evolving infrastructure platform that enables scale, performance, and safety. The Applied Infrastructure TPM team partners across engineering to lead foundational programs that ensure OpenAI’s infrastructure can meet current and future demand. About the Role We’re looking for a seasoned Technical Program Manager to drive critical infrastructure programs across the Applied organization. This TPM will focus on cross-cutting initiatives such as general compute capacity planning, process transformation, cost and quota attribution and optimization, and coordination across infrastructure and product stakeholders. There will also be focus on evolving OpenAI’s infrastructure to support growth, scale and new products. This work is core to how OpenAI manages and grows its infrastructure footprint in a disciplined, scalable way. Location: San Francisco, CA (Hybrid – 3 days/week in-office) In this role, you will: - Serve as the DRI for complex infrastructure programs spanning CPU planning, orchestration, and other resource management domains (e.g. networking, storage). - Build and operationalize systems to capture demand signals, model future capacity needs, and align infrastructure planning across internal teams and partners external to the company. - Partner closely with Infrastructure, Product and Finance teams to forecast infrastructure usage patterns and ensure supply/demand alignment. - Lead cost attribution and quota enforcement programs to promote stability and ensure equitable access to resources across teams. - Drive simplification and standardization of infrastructure tooling and processes across Applied and Infra organizations. - Drive cross functional programs to evolve our infrastructure to support new growth and scale - Work with external vendors and partners (e.g., cloud providers) to manage delivery schedules, capacity projections, and cost growth. - Communicate project risks, progress, and key decisions clearly to technical and executive stakeholders. You might thrive in this role if you: - Have 7+ years of experience leading large-scale, technical infrastructure programs, especially in compute resource planning, system scalability, or platform engineering. - Understand how cloud infrastructure, distributed systems, and foundational infra components (compute, storage, networking) come together to power complex products. - Have worked with hyperscalers or cloud providers (e.g. Azure) to manage infrastructure delivery and planning cycles. - Are structured and detail-oriented, with the ability to untangle complex dependencies and drive clarity across ambiguous problem spaces. - Excel at building durable processes, driving alignment across teams, and communicating clearly across technical and business audiences. - Can navigate complex and ambiguous problems at the intersection of infrastructure and business 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.
TPM Manager, Infrastructure
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic’s Infrastructure organization is responsible for the systems that train our models, serve our products, and support our engineering teams. That includes datacenter operations, capacity planning across cloud providers and our own facilities, accelerator cluster management, production serving infrastructure, developer tooling, data pipelines, and networking. It’s a lot of surface area, and the demands on it are growing fast. We’re hiring a TPM leader to own program management across this whole ecosystem from compute provisioning through to production workloads. We’re bringing up new datacenters, scaling multi-cloud compute across AWS, GCP, and Azure, managing datacenter construction, and building the software infrastructure to keep pace. The team is growing very quickly, and we’re looking for a senior leader with experience at scale to build and scale this team to support Anthropic’s rapid growth. You’ll report to the Head of TPM, partnering closely with various engineering leaders on technical strategy, roadmapping, and aligning TPM support where it is most impactful. You’ll personally drive 2–3 critical programs while leading your teamin parallel. This is a role where you need to be comfortable doing the work yourself before you can hand it off. What you'll do: IC Program Leadership - Own and drive 2–3 of the highest-priority programs across infrastructure while you build the team - Run the actual programs—datacenter bring-up timelines, capacity scaling plans, infrastructure migrations, cross-team reliability efforts, or whatever the most pressing needs are - Build the processes and playbooks as you go—figure out what works by doing it, then codify it for the team - Earn credibility with engineering leads through solid execution, not just strategy Team Building & Development - - Set the standard for what good TPM work looks like in this domain through your own output - Coach and develop TPMs - Transition programs to your team as you hire - Grow the team with excellent TPMs by defining roles, writing JDs, sourcing candidates, and closing hires Planning & Prioritization - Work with various engineering leads to identify work that would most benefit from TPM support - Make real tradeoffs about what to staff vs. what to skip given limited TPM capacity during the build phase - Maintain portfolio-level visibility across programs—status, risks, dependencies, blockers - Represent the team in planning cycles and leadership reviews Cross-functional Coordination - Coordinate across Infrastructure and partner teams (Research, Product, Security, Finance, Legal) on programs that span organizational boundaries - Drive alignment on programs that cross the hardware/software line—e.g., capacity plans that feed into training schedules, or efficiency work that spans accelerator kernels and serving systems - Own executive communication on program status, risks, and resource needs You May Be a Good Fit If You: - Have 10+ years of experience in technical program management, with 7+ years directly managing TPMs and ideally some experience leading larger TPM organizations - Have built a team or function from scratch before—you know the difference between hiring for a defined role vs. figuring out what the roles should be - Have scaled TPM teams to support rapidly-growing, fast-moving company environments - Have worked across physical and software infrastructure—datacenters, networking, hardware ops, distributed systems, cloud platforms, developer tooling. You don’t need to be deep in all of it, but you need to be conversant enough to ask the right questions and spot the real risks. - Have run large-scale compute or infrastructure programs—capacity planning, cluster deployments, datacenter build-outs, cloud migrations, or similar - Can communicate complex programs clearly to senior leadership without losing the important details - Are good at context-switching between doing the work and managing people, and don’t see the IC work as beneath you - Are comfortable making staffing and prioritization decisions without perfect information Deadline to apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 - $565,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of Compute Supply Chain
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. Head of Compute Supply Chain [San Francisco / remote-friendly US] About the role Anthropic's compute depends on supply chains that can't keep up with demand. Foundry capacity, memory, processors and networking are allocated to the customers suppliers consider strategic, and so are the transformers, chillers and turbines that power and cool our data centers. We are hiring a Head of Compute Supply Chain to own how Anthropic secures that supply. You will oversee sourcing across semiconductors and IT hardware, data center equipment, and energy equipment. You will hold our executive supplier relationships, and identify gaps before they bite us. A very small team brought this function from zero to hyperscale in a matter of months. Your job is to grow it into a high-performing, talent-dense organization while solving supply challenges the industry has never seen before. Responsibilities - Own sourcing strategy across semiconductors and hardware, data center equipment, and energy equipment. - Build the organization: develop the category leads and set how the teams operate as they grow. - Secure supply ahead of demand through capacity reservations, wafer commitments and long-term agreements, working with the rest of the Compute team as well as domain experts in Finance and Legal. - Hold executive relationships with hardware suppliers and power and infrastructure OEMs. - Own supply risk, including single-source exposure, geography, tariffs and export controls. - Identify supply gaps before they impact the business. You may be a good fit if you - Have 15+ years in strategic sourcing or supply chain for semiconductors, hardware, or datacenter infrastructure, and have led a function rather than a single category. - Have built a sourcing organization through rapid growth, including managers who lead teams. - Have negotiated capacity or long-term supply agreements at multibillion-dollar scale with executive counterparts. - Have deep experience in either semiconductor supply (foundry, memory or hardware) or data center and power infrastructure equipment, and the judgment to lead the other. - Can make hard allocation calls and explain the trade-offs to executives. - Have strong written communication and executive presence. Strong candidates may also have - Built a sourcing function from scratch. - Sourced for other kinds of hardware, such as robotics or manufacturing equipment. - Sourced across the US, Europe and Asia, including for an international data center portfolio. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 - $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Enterprise Account Executive - DNB
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive for Digital Native Business based in Seoul, you'll drive the adoption of safe, frontier AI technology across Korea's fastest-moving technology companies. This is a greenfield, new business role: you'll build your territory from the ground up, owning the full sales cycle from first outbound touch to close across Korea's internet platforms, gaming, e-commerce, SaaS, fintech, and media companies. You'll work directly with founders, technical leaders, and product teams to help them build with Anthropic's AI as a core part of their products and operations. Key responsibilities - Own and exceed revenue targets by winning net-new logos across Korea's digital native companies, including internet platforms, gaming, e-commerce, SaaS, fintech, and media - Build a greenfield territory from scratch: develop your own account list, generate pipeline through self-sourced outbound prospecting, and create repeatable plays for landing new accounts - Run fast, consultative sales cycles with founders, CTOs, CPOs, VPs of Engineering, and Heads of AI, positioning Claude as the foundation for AI-powered products and competitive differentiation - Land new accounts quickly and set them up for expansion, working closely with technical buyers and developer teams who evaluate hands-on - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to win technical evaluations and accelerate time to production for customers building on our models Preferred qualifications - 8+ years of sales experience in Korea with a clear track record as a hunter: consistently winning net-new logos and generating the majority of your own pipeline through outbound prospecting - Experience selling to digital native, internet, or high-growth technology companies, and comfort engaging technical buyers such as engineering and product leaders, not just business stakeholders - A track record of opening greenfield territories or segments with little existing brand presence, building pipeline and closing revenue from zero - Proven experience exceeding revenue targets driven primarily by new business, with the ability to manage high-velocity cycles alongside larger strategic deals - Strong commercial instincts for usage-based and consumption models, and the ability to connect product adoption to revenue growth - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player who thrives in ambiguous, startup-like environments - A strategic, analytical approach to territory and account prioritization combined with high-energy, persistent execution - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit - Excellent communication skills in both Korean and English 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.
GenAI Compliance Operations & Programs Associate
About the Role This role will serve as a key execution partner to the GenAI Customer Compliance Manager, with a strong focus on supporting GenAI delivery workflows through embedded compliance operations and Legal coordination. The GenAI Compliance Operations & Programs Associate will sit at the intersection of Delivery, Ops, and Legal, ensuring that compliance considerations are integrated early in the project lifecycle, risks are clearly identified and prioritized, and Legal is engaged with the right context at the right time. By owning execution, coordination, and delivery integration, this role frees the Customer Compliance Manager to focus on strategy, governance, and risk frameworks. The role requires strong operational ownership, comfort with ambiguity, and the ability to drive alignment across fast-moving, cross-functional teams. Key Responsibilities Compliance Review Operations & Legal Coordination - Manage end-to-end compliance review workflows for GenAI projects — from early-stage intake through review, approval, launch, and verification — in close partnership with Engagement Management and Delivery. - Evaluate incoming work for compliance risk signals (e.g., data sensitivity, copyright exposure, privacy concerns); triage and prioritize requests for Legal based on risk, scope, and delivery timelines. - Partner with Engagement Management to translate and execute risk mitigation at both the project and customer level, gather operational input to develop and prioritize systematic compliance controls, and train/educate Ops stakeholders on common or emerging compliance risks. - Ensure Legal receives clear, structured, and actionable context; coordinate reviewers across Legal and internal teams to support SLA adherence. - Identify workflow friction points and contribute to improving processes, templates, and prioritization frameworks. - Maintain dashboards to track throughput, bottlenecks, SLAs, and risk trends. Risk Mitigation Solutions & Monitoring - Support Engineering and Ops in developing and implementing scalable risk mitigation solutions. - Operationalize solutions into repeatable workflows aligned with delivery processes. - Monitor adoption and effectiveness; escalate gaps or risks as needed. Customer Audit Support - Support audit readiness activities including evidence collection and documentation under the direction of the Customer Compliance Manager. - Assist in preparing audit packages and tracking progress toward readiness milestones. - Support audit remediation efforts and follow-through. Access Control & Operational Hygiene - Manage day-to-day access governance across systems and sensitive datasets (including Redash and internal/external Google Groups). - Execute quarterly access reviews and cleanup processes in alignment with policies set by the Customer Compliance Manager. - Enforce and standardize permissions and operational controls; flag anomalies for escalation. Qualifications Required - 1-3 years of experience in operations, program management, compliance, or GenAI/technical delivery environments. - Must be local to Mexico with advanced English speaking skills - Bachelor’s degree required; preferred fields include Business Administration, Operations Management, Information Systems, or Public Policy. - Direct experience supporting or operating within GenAI/AI delivery workflows strongly preferred. - Working knowledge of basic legal/compliance concepts (privacy, copyright, data handling). - Proven ability to triage, prioritize, and manage high-volume workflows. - Strong cross-functional collaboration skills, especially with Legal, Ops, Product, and Engineering. - Experience with data tools and dashboards (e.g., Redash or similar). - Basic understanding of SQL (e.g., able to build and run basic queries) - High attention to detail and strong operational follow-through. Nice to Have - Experience in GenAI, Trust & Safety, or data compliance environments. - Familiarity with legal intake processes or working directly with Legal teams. - Experience designing operational workflows, intake systems, or triage frameworks. - Exposure to risk assessment or prioritization models. - Background in Law, Data Science, or Computer Science. 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.
Staff Software Security Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. Responsibilities: - Build security for large-scale AI clusters across multiple clouds and bare-metal data centers, including IAM, network segmentation and encryption controls - Design and implement network security controls: default-deny ingress and egress, segmentation between research, training and production environments, private connectivity across clouds and data centers, cloud firewall policy and mTLS with service identity - Ship these controls as secure defaults using infrastructure as code and GitOps workflows, so new clusters, VPCs and data center links inherit the right boundaries - Build visibility into network traffic and boundary drift, with detection for exfiltration paths and automated remediation where it is safe to do so - Design secure-by-design development workflows and CI/CD pipelines across our services, with expertise in Kubernetes security, container orchestration and identity management - Threat model and assess risk for complex multi cloud and networked environments, and join infrastructure networking, cluster and data center teams at design time so topology, routing and firewall decisions carry our security requirements from day one - Mentor engineers and contribute to hiring and growth of the Security team You may be a good fit if you: - Have 8-15+ years of software engineering experience implementing and maintaining critical systems at scale - Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++) - Experience implementing and operating critical systems at scale using DevOps and cloud automation practices such as infrastructure as code - Hands-on network security engineering in cloud or on-prem environments, for example VPC design, cloud firewall policy, egress control, private service connectivity or network segmentation - Working knowledge of Kubernetes security and networking, including network policy, service identity and container hardening - Experience with threat modeling and risk assessment for networked and multi cloud systems - Track record of driving engineering excellence through high standards, constructive code reviews and mentorship - Clear communicator who can translate technical concepts across organizational levels and bring clarity and ownership to ambiguous technical problems - Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams - Experience supporting fast-paced startup engineering teams Strong candidates may also have experience with: - Secured Kubernetes networking at scale (CNI, network policy, service mesh or mTLS rollouts) or worked in high-assurance environments where controls had to be evidenced, not just deployed - Worked on interconnects and private connectivity between cloud providers and physical data centers, including management-plane and out-of-band network security - Built network traffic visibility or exfiltration detection systems - Exposure to large-scale distributed training and what it demands of a network - Led cross-functional security initiatives and navigated complex organizational dynamics - Managing infrastructure through automated configuration and policy enforcement - Hardening containerized applications and enforcing security policies 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 - £325,000 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.
Sales Strategy, Operational Excellence
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a highly organized, analytically grounded Sales Strategy, Operational Excellence partner to help run the operating system of our go-to-market organization. As Anthropic's GTM motion scales rapidly, the difference between a sales org that grows and one that grows well comes down to operating discipline: a forecast call that runs the same way every week, a planning cycle where every team knows the timeline before it starts, and a single set of standards that Sales and Strategy both recognize as their own. You will sit at the center of the CCO's operating rhythm and act as the connective tissue between Sales leadership, Revenue Operations, Finance, and Systems. Week to week, that means making sure the forecast and pipeline cadences run cleanly and that the inputs leaders are looking at are consistent and trusted. Quarter to quarter, it means driving the mechanics of target setting and quota deployment. Annually, it means program-managing the planning cycle so that territories, capacity, comp, and targets land on time and tie together. The ideal candidate is someone who finds genuine satisfaction in making a complex organization run smoothly. You can take a process that exists as tribal knowledge across five spreadsheets and three Slack channels and turn it into a single, documented standard that people actually follow. You are comfortable being the person in the room who knows what's due, from whom, by when, and you can hold cross-functional partners accountable without authority. In a business where the model is evolving faster than the playbook, the ability to build durable operating mechanisms is itself a strategic asset. Key responsibilities - Own end-to-end delivery of the CCO operating cadence: weekly forecast and pipeline reviews, monthly business reviews, and QBRs - Manage the operational execution behind each review — calendar, prep timelines, templates, and pre-read standards — and hold contributors accountable to deadlines - Prepare the inputs and run the mechanics of each cadence, keeping every session focused on decisions rather than logistics - Capture decisions, commitments, and risks in the room, then assign owners and drive open items to resolution between meetings - Anchor every review in source-of-truth data, ensuring the metrics leadership sees are accurate and consistent from one review to the next - Develop the performance narrative, not just the packet: connect the metrics to what's actually happening in the business and distill what changed, why it changed, and what decision or action it calls for - Build your own view of the forecast — pressure-test bottoms-up calls against pipeline coverage, historical conversion, and deal-level signal, and be willing to say where you'd land differently and why - Spot risk and upside early: identify the deals, segments, or assumptions most likely to move the number, and make sure they get airtime before they become surprises - Establish a single set of KPI definitions, operating standards, and best practices across Sales and Strategy so teams are measuring and running the business the same way - Drive the target-setting process: translate company goals into clear, measurable targets for the field, and keep them current as the business evolves - Document core processes (forecasting methodology, pipeline hygiene, deal stage criteria, rules of engagement) and drive adoption through enablement and reinforcement, not just publication - Design processes that hold up as the organization triples — what works as a spreadsheet today should have a clear path to a system tomorrow — and partner with Systems and Analytics to move repeatable manual work into tooling, using Claude to accelerate documentation, data aggregation, and process design Minimum qualifications - Experience in sales operations, sales strategy, revenue operations, business operations, or a similar function, with direct experience supporting the operating cadence of a sales organization - Have run or materially supported core GTM planning processes end to end: annual planning, target setting, quota allocation, territory design, or comp plan rollout - Are an exceptional program manager; you can take a loosely defined cross-functional effort, put a plan around it, and drive it to a deadline across teams you don't control - Understand the rhythm of a sales org from the inside: what a forecast call is for, what "commit" means, why pipeline coverage matters, and what makes a quota feel fair or unfair to a rep - Are highly structured and detail-oriented without being rigid; you build the standard, but you know when the standard needs to bend - Communicate clearly and concisely up, down, and across; you can write the one-page pre-read that lets a leadership meeting start at the decision instead of the context Preferred qualifications - Are fluent in Excel/Sheets (modeling, lookups, structured data) and comfortable working in Salesforce; SQL or Looker experience is a plus but not required - Are energized by bringing order to ambiguity and have a low ego about doing the unglamorous work that makes an organization run - Experience with sales compensation design (SPIFs, accelerators, plan mechanics) and the downstream operational realities of administering them - Exposure to consumption-based or usage-based revenue models where forecasting and quota design don't follow the standard SaaS pattern - Familiarity with planning and territory tools (Anaplan, Pigment, Fullcast, or similar) - A track record of using AI tools to accelerate operational and program management work The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $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.
Program Specialist, M&A
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic has an ambitious mission with high stakes and tight timelines. In some cases, the talent we need to achieve our vision can't be accessed through traditional recruiting alone. That's where M&A comes in, and this role is what keeps it running smoothly. We're looking for a Recruiting M&A Program Specialist to join our Talent team and coordinate the interview experience behind our acquisition hiring. You'll be a key point of contact across Corporate Development, Legal, People, and the technical organization, coordinating interviews and guiding candidates and incoming employees from first conversation through to their start date. Your work will be challenging and unique, and it directly supports Anthropic's efforts to remain on the frontier. Role required to work out of the Anthropic San Francisco Office - Relocation available. Responsibilities - Coordinate across Corporate Development, Legal, People, and technical leadership, keeping everyone informed, flagging what needs attention, and keeping the process moving. - Educate deal sponsors and cross functional partners on standard approaches for M&A recruiting, interviewing and processes. - Be a primary point of contact for candidates, delivering a warm, high-touch, and discreet experience from first conversation through their start date. Make sure people going through a sensitive transition feel supported and informed at every step. - Coordinate across Corporate Development, Legal, People, and technical leadership, keeping everyone informed, flagging what needs attention, and keeping the process moving. - Be the primary point of contact for scheduling logistics for acquisition-related hiring, navigating complex, confidential scenarios across time zones and multiple stakeholders. - Keep the trackers, checklists, timelines, and playbooks that keep acquisition coordination organized and consistent, and flag improvements as the function grows. - Maintain confidentiality and handle sensitive information and conversations with discretion. - Use AI tools (e.g., Claude) as a core part of your daily workflow as we build toward a more automated way of recruiting. - Take on other high-priority recruiting and operations projects as needed and grow within the role over time. You may be a good fit if you have - 3+ years of program management, recruiting coordination or high-volume scheduling experience, ideally including confidential, executive, or M&A/acquihire hiring, and familiarity with modern recruiting systems - Track record of creating, documenting and educating on evolving hiring approaches - proven experience in building and developing these over time. - A track record of delivering an excellent candidate experience and partnering closely with recruiters - Experience with confidential or sensitive work where discretion, trust, and sound judgment are essential - Strong organizational instincts and comfort creating structure in ambiguous, fast-moving situations - Comfort working efficiently with AI tools; experience with Claude - A genuine interest in Anthropic's mission and the role M&A plays in supporting it - Excellent written and verbal communication skills 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: $120,640 - $145,600 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
People Partner, Research
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 San Francisco Bay Area to support our critical Research 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 Research functions who are deeply engaged with creating safe AGI that benefits humanity. You will help build out HR policies and strategies that meet your client’s 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 in Research - 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, 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 and retain and grow outstanding talent at Anthropic - Work on cross-functional projects with other People Partners and partners in specialist teams to enable and grow our Ants (e.g. Manager training, etc.) 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 Preferred qualifications - Have a minimum of 6+ years experience working in People Partner, People Operations, Employee Relations, Recruiting, or other closely related functions - Have experience working with AI focused Research and Engineering teams - 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.
Manager, Sales Development - EMEA
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Sales Development Manager for EMEA at Anthropic, you will lead and scale our business development function across Europe, the Middle East, and Africa. You will build and manage a team of 6-8 BDRs primarily in Dublin. This role requires exceptional agility, cultural fluency across diverse European markets, and the ability to develop segment-specific strategies while navigating complex regulatory environments and regional nuances. You will be instrumental in establishing Anthropic's regional presence and building the foundation for long-term growth in EMEA. Key Responsibilities - Build, lead, and scale a team of BDRs across EMEA markets including SEU, NEU, and DACH. - Develop and execute region-specific prospecting strategies that account for local market dynamics, cultural nuances, and competitive landscapes across diverse European markets - Support all sales segments (Startups, Commercial, Enterprise) with agility to shift resources based on regional opportunities - Partner with regional AEs and sales leadership to align pipeline generation with territory plans and revenue targets - Establish KPIs and tracking mechanisms that account for regional differences while maintaining global consistency - Create localized training programs and enablement materials that resonate with diverse European business cultures - Build and maintain relationships with regional marketing teams to optimize lead quality and campaign effectiveness - Own regional Pipeline Reviews with sales leadership covering market-specific insights and growth opportunities - Navigate complex hiring and employment regulations across multiple European countries, partnering with HR and Legal - Coach and develop BDRs on region-specific prospecting techniques and career progression Qualifications - 3-6 years of experience managing sales development or inside sales teams in EMEA - Proven track record of growing and scaling teams across multiple European countries/offices - Experience managing distributed teams across different time zones and cultures within EMEA - Strong understanding of business practices, sales cycles, and decision-making processes in key EMEA markets - Experience adapting global sales processes for European markets while maintaining consistency - Deep understanding of GDPR, EU AI Act, and other European regulatory requirements affecting enterprise sales - Strong analytical skills with ability to identify and act on regional market opportunities - Experience with Salesforce and sales technology stack - Excellent communication skills with ability to operate effectively across European cultures - Bachelor's degree or equivalent work experience Preferred Experience - Experience at US-headquartered technology companies expanding in EMEA - Background in AI/ML, cloud infrastructure, or developer platforms - Track record of building BDR/SDR functions from scratch in new European markets - Experience managing both velocity (Startup/Commercial) and strategic (Enterprise) sales motions - Fluency in German, French, Spanish or other major European languages - Network of talent for BDR hiring across EMEA markets 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: €170.000 - €215.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Product Design Manager, Enterprise
About Scale AI Scale AI accelerates the development and deployment of AI, from the high-quality training data and evaluation services that power the world's leading AI labs, to full-stack AI applications built for Enterprise, U.S. Public Sector, and Global Public Sector customers. We don't just hand over a model; we find the highest-value use case, build the system around it, and own the outcome, whether that's an agent supporting mission planning for the Department of Defense, a sovereign AI platform for a government ministry, or an agentic workflow inside a Fortune 500 enterprise. Our platform powers breakthroughs at the frontier of AI, and great design is how we make that power accessible, intuitive, and trusted by the teams who rely on it every day. The Role We're looking for a product design leader to lead and grow our enterprise team. What You'll Do - Set the direction for Enterprise design. Define what exceptional design looks like for Scale's Applications customers making high-stakes decisions and for the expert contributors powering the platform. Translate the broader design vision into a clear, motivating direction for your team. - Build and lead the team. Own hiring, development, and day-to-day leadership for a growing team of designers. Create the culture and operating rhythms that let them do their best work. - Drive design execution across the Enterprise product. Partner with your Product and Engineering counterparts to set priorities and ensure design is involved from problem scoping through delivery, not brought in at the end. - Raise the craft bar. Uphold design principles and quality standards on your team. Push designers beyond digitizing workflows toward genuinely rethinking how people work with AI. Hold the line on quality without slowing delivery. - Contribute to the design system. Help shape and adopt Scale's shared design system, championing consistent component use and contributing patterns back so a distributed team can build coherently at speed. - Ground the team in user needs. Build the research habits and cadences that keep your team's decisions rooted in what enterprise customers and users actually need, and advocate for that discipline with your Product and Engineering partners. - Shape Scale's approach to human-agent interaction. Scale's core value is human-in-the-loop AI, and the interface is where trust is built or lost. Help define the interaction patterns for how enterprise users work alongside AI agents, and contribute to Scale's growing point of view on this emerging space. Who you are - 3+ years managing product design teams - Proven track record of simplifying data-dense, power-user workflows into elegant solutions for B2B and beyond - Deeply customer-centric, with a track record of grounding design decisions in real user needs and business impact - Fluent in how AI is changing design practice and tooling; building AI-native workflows for your team - Experience designing for agentic platforms, and excited to shape the future of interaction patterns for AI and human-in-the-loop systems - Balance speed and quality; you know how to prioritize ruthlessly and get the team shipping without dropping the craft bar - Excellent communicator. You can present to a leaders and a front-line PM and make both feel heard 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.
Software Engineer, Native Learning Experiences
About the Team Customer education helps customers and partners build the practical skills and confidence to use AI and OpenAI products safely and effectively. The team focuses on role- and skill-based learning paths, practical content, and product experiences that accelerate learning in the workplace. It brings together learning and enablement expertise, field insight, product signals, and measurement to improve learner and business outcomes. Together, these experiences will help enterprise users build practical AI skills, apply them with confidence in their work, and demonstrate what they can do. Employers will gain a clearer view of workforce skills and progress, helping them recognize capability, focus development where it matters most, and build confidence in workforce readiness. About the Role We’re looking for a full-stack engineer to define and build a new class of learning experiences. This is an early-stage product area where technical judgment, product sense, and learner empathy are critical. You will be setting a technical vision for how people use AI to learn how to use AI, safely and beneficially. This is a hands-on, 0-1 product engineering role with broad technical and product ownership. You’ll set direction, make foundational decisions, and ship the first versions of experiences that can grow into the default way people learn at work. You will drive full-stack product experiences end to end, from prototype through launch, instrumentation, iteration, and production hardening. The work spans interaction design, frontend implementation, backend APIs and services, learner state, content and runtime integration, telemetry, evaluation, reliability, safety, accessibility, and launch readiness. You’ll work closely with our education, GTM, and engineering teams to translate how people learn into products people want to use. bring role- and skill-based learning paths into the product, designing coaching, feedback, and adaptive support which responds to each learner’s goals, context, and progress. You’ll lead focused experiments, measure what helps learners progress and where they struggle, and use that evidence to shape what comes next. Strong candidates will be product engineers with experience and a strong interest in education, learning science, assessment, behavior change, or AI literacy. You’ll help shape how OpenAI supports structured, adaptive learning in the flow of work, from a learner’s first entry point through practice, feedback, progress, and repeated use. In this role, you will: - Own the vision and execution for OAI’s native learning offering - Build and launch end-to-end product experiences that help users build and apply AI skills through real work, starting in ChatGPT. - Design the core systems behind those experiences, including learner state, progress and re-entry, content and runtime integration, experimentation, telemetry, and evaluation - Create reusable components and internal tools that allow education and content partners to develop, configure, test, and improve learning experiences - Build and test clear entry points, realistic hands-on practice, useful feedback, telemetry, and evaluation. Use evidence from real use to decide which capabilities for saved context, progress, re-entry, and reuse are needed next. - Partner closely with colleagues across Customer Readiness, EDU Engineering, learning science, research, design, data, content, support, and customer-facing teams. Reuse technical and learning patterns where they help while keeping the experience grounded in professional and enterprise use cases. - Work closely with design and users to turn product and learning goals into clear requirements, prototypes, milestones, reusable UI patterns, and product metrics, then refine the experience through evidence. - Define the learner intent and problem for each release, then use product data, learner feedback, and operational signals to evaluate product quality, learning, transfer to real work, and adoption against that intent. - Make pragmatic tradeoffs across speed, quality, scalability, and operational simplicity in a 0-to-1 product area. Qualifications: - Substantial experience building and operating high-quality user-facing products with a record of staff-level technical leadership and hands-on delivery - Strong full-stack engineering skills, including modern frontend technologies such as TypeScript and React, backend services and APIs, relational databases, stateful user flows, and instrumentation, with practical judgment about distributed systems, reliability, and performance. - Experience building in 0-to-1 or fast-moving product environments where user needs, product shape, and success measures are still evolving. - Strong user empathy and a high bar for product and interaction quality, accessibility, reliability, safety, security, and performance. - Experience collaborating across engineering, research, product, design, data, content, operations, and customer-facing teams. - Ability to use qualitative feedback and product data to identify friction, prioritize work, and improve outcomes. - Clear written and verbal communication, including the ability to explain technical decisions and tradeoffs to different audiences. - Careful judgment when building products that shape how people understand and use AI. You might thrive in this role if: - You like 0-to-1 product work where the right answer is discovered through shipping, measurement, and iteration. - You are excited by product surfaces that sit close to real users, real workflows, and measurable user and business outcomes. - You can move between prototype speed and production-quality engineering without losing sight of the user. - You enjoy working with non-engineering partners and turning domain expertise into clear product experiences. - You are energized by education, behavior change, skill development, or helping people gain confidence with new tools. - You have strong opinions about product craft but can adjust quickly as evidence comes in. Nice to have: - 5+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies - Former founder, or early engineer at a startup who has built a product from scratch is a plus - Experience building education, edtech, learning, tutoring, coaching, assessment, onboarding, training, or enablement products. - Experience in AI literacy, workforce learning, enterprise enablement, developer education, or similar spaces where users need to build confidence and skill over time. - Experience building AI products, LLM applications, developer tools, agent-assisted workflows, or personalized user experiences. - Experience building customer-facing, revenue, sales, support, or go-to-market systems where product quality and operational feedback loops matter. - Experience translating research into product decisions, experiments, evaluation, measurement, and iteration. - Experience building product surfaces used by both individual users and organizations, including admin, reporting, or support-readiness considerations. 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, Claude Science
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 mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future. Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we’re just getting started. Much of this is being built 0→1 right now: you’ll shape both the product and the architecture in a category no one has defined yet. You'll be a technical leader who thinks holistically about the end-to-end researcher experience, partners directly with our internal research team to push model capabilities into production, and carries real ownership over what we ship next. Our north star is accelerating scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. This work supports programs like Anthropic’s AI for Science Program and our rare disease research grants . What you'll do - Ship fast against a roadmap you help shape: this is a product in a category no one has defined yet, and the highest-leverage problems are still unclaimed - Interface directly with working scientists — academic labs, industry R&D teams, and research institutes — during key conversations, translating what you learn into engineering priorities - Partner with product and design to turn how scientists actually work — from hypothesis to analysis to publication — into shipped product - Work closely with research to make the models better at science: shaping evals, surfacing failure modes, and feeding what users hit in the real world back into model development You may be a good fit if you - Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level - Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on - Have built AI products and know what it takes to turn model capabilities into applications people actually use - Are comfortable working directly with technical domain experts and translating what you learn - Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have - Background in chemistry, biology, physics, or another science - Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 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.
Staff Network Engineer, App Platform
Scale GP (Scale Generative AI Platform) is Scale’s enterprise AI platform, providing APIs and infrastructure for knowledge retrieval, inference, evaluation, agents, and more. We deploy SGP across AWS, Azure, and GCP, often directly into customer-controlled cloud environments across highly regulated industries including healthcare, financial services, telecom, and retail. As SGP has grown in scale and complexity, networking has become a critical architectural discipline of its own. Today, teams routinely encounter the same hard problems — VPC design, routing, ingress and egress, private connectivity, service exposure, address-space constraints, firewall policies, and cross-environment communication — but solve them differently depending on the deployment. We’re looking for a Senior Network Engineer to establish the architectural standards for how SGP connects to customer infrastructure and how traffic moves throughout the platform. You’ll own network architecture across a large and rapidly growing fleet of Kubernetes environments spanning AWS, Azure, and GCP, with many deployed inside customer-owned cloud accounts and networks that we do not control. The constraints vary significantly: a commercial deployment behind a customer-managed API gateway; a hub-and-spoke enterprise network where the customer assigns our address space; a GovCloud environment protected by default-deny firewall policies; or a fully air-gapped deployment with no external connectivity. The goal is not to create a bespoke network architecture for every customer. Your job is to define one clear, secure, and supportable networking model for SGP — and establish the small set of defensible variations required to operate across different clouds, customer architectures, and compliance regimes. What You'll Do - Own network architecture for the SGP platform: define and enforce network standards across cloud environments (AWS, Azure, GCP) and customer deployments - Design and review VPC architectures, peering, DNS, load balancing, and CDN/edge configurations (e.g., Cloudflare), grounding root-cause and tradeoff discussions in data and domain depth - Bring strong technical judgment to VPN, routing, access, ingress/egress, and traffic-flow decisions - Review proposed networking solutions from platform, product, and forward-deployed teams; evaluate what should and should not be introduced into the platform boundary - Define the standard connectivity pattern between Scale's control plane and customer data planes (VPC peering, PrivateLink/Private Service Connect, site-to-site VPN, reverse tunnels) — and converge today's per-customer designs onto it - Own the customer-boundary delivery blueprint: how code, images, and traffic cross into a customer tenant — CI/CD mirroring across org boundaries (including customer-side Azure DevOps), artifact scan gates, private registries, ingress — so new engagements configure a pattern instead of designing one - Own engineer access into customer and internal environments (Tailscale/Teleport/bastion-class decisions), replacing per-engineer VPN sprawl and hand-rolled tunnels with something auditable - Own the Kubernetes traffic layer: Istio/Envoy mesh and ingress, the per-cloud CNI matrix, and a portable NetworkPolicy contract that constrains egress for thousands of short-lived agent-sandbox pods running untrusted code - Reduce rework by preventing one-off implementations from becoming long-term platform burden - Partner with security engineering on network segmentation, zero-trust access, and compliance requirements in regulated customer environments - Debug complex connectivity, latency, and traffic-flow issues across hybrid and multi-cloud deployments - Document network architecture, standards, and runbooks so adjacent teams can operate confidently What We're Looking For - 5+ years of network engineering experience, including designing and operating production networks in cloud environments - Deep expertise in cloud networking on at least two of AWS, Azure, and GCP: VPC design, peering, Transit Gateway/hub-and-spoke topologies, private connectivity (PrivateLink, Private Service Connect), and DNS - Kubernetes networking depth — CNI, ingress, NetworkPolicy, service mesh (Istio/Envoy) — this is where most of our real incidents live - Strong fundamentals in TCP/IP, BGP, routing, firewalls, VPN (site-to-site and client), and TLS - Experience with edge/CDN and traffic-management platforms such as Cloudflare - Has defined a network standard or reference architecture that other teams adopted, and enforced it through design review - Comfortable as the sole domain owner: able to collect requirements across five-plus live environments you didn't design, then converge them without breaking any - Has made build-vs-adopt networking calls with vendor-support or contractual consequences in a customer's cloud - Infrastructure-as-code proficiency (Terraform preferred) - Familiarity with network security and compliance requirements in regulated industries (healthcare, finance, government), including environments across multiple compliance regimes (commercial, FedRAMP/GovCloud, air-gapped), is a plus - Excellent communication skills — able to explain networking tradeoffs to both technical and non-technical audiences and influence decisions without direct authority Why This Role Matters Without a dedicated owner, adjacent teams are covering a domain that needs specialized expertise. You will be the point of accountability for network architecture as SGP grows — raising the quality of every deployment, unblocking confident decisions, and keeping the platform boundary clean as we scale. 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: $1 - $1 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.
Researcher, Agent Safety, Oversight and System Mit...
About the Team The Agent Safety team works to ensure that increasingly capable AI agents act safely, exercise sound judgment, and remain aligned with user intent. Our mission is to reduce the probability of severe unintended outcomes from increasingly capable AI agents while preserving their ability to act effectively and autonomously. Our work spans three areas: - Training: Create training methods, environments and data that teach agents to make better decisions in consequential situations. We turn real-world failures into training signals that prevent similar incidents, and identify precursor behaviors and mitigations to address emerging risks. - Measurements: Build evaluations and production metrics that identify emerging risks and measure whether our interventions work. - Oversight : Develop oversight and system mitigation mechanisms that reduce harmful actions while preserving useful agent autonomy (for example future versions of auto-review ). About the Role This role focuses on oversight and system-level mitigations that enable increasingly capable agents to operate safely and autonomously in real environments. We prioritize building oversight systems that are used in practice today, both internally and externally (see our recent work on action monitoring for codex and former code review ). We also study longer-term questions about how increasingly capable agentis systems can be supervised, constrained, and corrected. We’re looking for a safety&security minded researcher or engineer who can reason rigorously about security boundaries and agent behavior, then build and test practical mitigations. A background in AI control or security is welcome but not required. 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: - Design, build, and evaluate system-level controls for agent actions like agent-based review. Plan how they fit in a broader system including sandboxing with process isolation and permission boundaries. - Work closely with a Codex harness engineering team to productionize the AI controls. - Red-team end-to-end agentic systems to measure whether controls prevent data exfiltration, unsafe tool use, and other harmful outcomes. - Improve the safety–productivity tradeoff by measuring and reducing missed harmful actions, unnecessary blocks, approval burden, and latency. You might thrive in this role if you: - Have strong systems or security instincts and can reason concretely about isolation boundaries, permissions, attack surfaces, and failure modes in complex systems. - Enjoy turning ambiguous safety questions into concrete threat models, reproducible experiments, and practical mitigations, and revising your approach based on evidence from deployment. - Can build robust experimental infrastructure and design evaluations that distinguish promising mitigations from brittle ones. - Are deeply interested in frontier AI alignment, safety and control. 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.
Research Counsel
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 member of the Research Legal team, you'll advise on legal topics across the full lifecycle of building and studying frontier AI models: data acquisition and use, training pipelines, model evaluation and launch, and alignment, interpretability, model welfare, societal impacts, and beneficial deployments research, as well as Responsible Scaling Policy work on biological risk. You'll be a subject matter expert on copyright, privacy, data use, and AI regulation (including the EU AI Act, U.S. state laws, and emerging global rules), and will work directly with researchers on questions that often have no settled answer. The ideal candidate will have navigated complex legal questions at the intersection of machine learning, data, and academic research in a fast-moving technical environment, with the judgment to work at the cutting edge of AI development while effectively solving issues, enabling innovation, and calibrating risk. This is a uniquely positioned role touching many different facets of AI, presenting the opportunity to be a leader in AI legal thought. Key responsibilities - Advise research and data teams on data sourcing, licensing, partnerships, and use, and help shape Anthropic's data acquisition and use strategy as laws and markets evolve - Help coordinate regulatory readiness and model launches, review model documentation and system cards, respond to regulatory inquiries, and advise on legal questions for pre-release and internal models - Support the Responsible Scaling Policy as applied to biological and chemical risk, including capability evaluations, tiered access for biosecurity researchers, and dual-use research questions - Counsel the Societal Impacts, Economic, Alignment, Interpretability, Model Welfare, and Beneficial Deployments teams on research design, data collection and sharing, external collaborations, program launches, and publication review - Monitor global AI, privacy, copyright, and export-control developments and translate them into practical internal guidance and policy, working closely with Product, Policy, and other legal stakeholders - Engage with academics, regulators, industry groups, and civil society to help develop norms and best practices for responsible AI development and data governance Minimum qualifications - A JD and active membership in at least one U.S. state bar (California or New York preferred) - Practical, creative problem-solving: the ability to apply legal requirements to fast-changing, deeply technical work, with an understanding that the goal is to enable responsible research and product development in a risk-calibrated environment - Exceptional communication and analytical skills, technical fluency, and the ability to navigate ambiguous and uncharted legal territory, turning complex technical and legal analysis into advice people can act on - Familiarity and comfort advising on the EU AI Act, U.S. legislation and AI frameworks, GDPR/CCPA, and comparable regimes globally, sometimes where no AI-specific legislation exists - Interest in thinking deeply about the impact of AI on society and how to make humanity's transition to the AI age as beneficial as possible - Sound judgment about when to be flexible and when to hold a line; comfort making high-stakes calls in unsettled areas and outside your core expertise; and a low-ego, collaborative approach, doing the work needed rather than delegating it or being territorial Preferred qualifications - At least 8 years of legal experience advising technology companies on copyright, privacy, data, AI regulation, and related product and policy issues, ideally including time in-house and work on AI/ML products or services - Experience engaging directly with regulators or standards bodies - Working technical literacy: enough familiarity with how models are trained, evaluated, and deployed to ask researchers and engineers the right questions and spot the legal issues in a technical design - An academic or publishing background, or experience with copyright, open-source, and data licensing - Experience with biosecurity, dual-use research, export controls, or safety frameworks such as Anthropic's Responsible Scaling Policy - Experience advising on academic or industry research, including publications, external collaborations, data sharing, or human-subjects and consent questions, ideally in AI or an adjacent technical field Role-specific policy: We prefer candidates who can work from our San Francisco or New York office at least 3 days a week, but may consider other locations for the right candidate. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $335,000 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.
Scale Growth Account Executive, AI Native
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 Scale Growth Account Executive at Anthropic, you'll own a portfolio of roughly 6-8 of our most strategic and fastest-scaling AI-native startup customers, driving expansion and retention by helping them harness the transformative potential of safe, frontier AI. These are companies that build on Anthropic's models and are now scaling quickly — your job is to grow with them. You'll leverage your consultative sales expertise to expand revenue across complex, multi-stakeholder accounts while becoming a trusted strategic advisor to founders and executive teams, helping them expand their AI capabilities and unlock new use cases. Working closely with GTM, Applied AI, product, and marketing teams, you'll identify expansion opportunities while ensuring our customers get maximum value from Anthropic's solutions. The ideal candidate will combine strong commercial acumen with executive relationship management skills, focusing on growing large accounts through strategic expansion while maintaining high retention rates in a competitive market. By driving expanded deployment of Anthropic's products at the companies defining what AI-native looks like, you will help them scale their AI capabilities while advancing its safe and ethical development. Responsibilities: - Drive revenue growth through strategic account expansion and renewals across a focused portfolio (~6-8) of Anthropic's largest AI-native startup customers. Own the full sales cycle for upsell and renewal opportunities while maintaining strong retention rates - Build and maintain trusted relationships with founders, board members, and executive stakeholders, as well as the technical leaders (CTO, VP Engineering, Head of AI) who own model decisions - Lead strategic account planning including executive business reviews, health checks, usage and forecast reviews, and renewal negotiations - Partner with customers to identify new use cases, workloads, and products that expand their AI capabilities with Anthropic - Navigate complex commercial conversations — multi-stakeholder deals, evolving usage patterns, and competitive evaluations — in partnership with Applied AI and product teams - Serve as the voice of the customer by gathering feedback and conveying market needs to inform our product roadmap - Develop and execute account strategies that align Anthropic's solutions with customer business objectives - Proactively identify and mitigate retention and competitive risks while maintaining high customer satisfaction Must Have Qualifications: - 12+ years of experience in sales or account management roles, with a proven track record of growing large, complex accounts and exceeding retention and expansion targets - Success as a strategic business advisor to founders and executives, deeply understanding fast-scaling startup needs and creating solutions that align with their vision - Experience managing complex, multi-stakeholder sales cycles, working with technical stakeholders, and negotiating strategic deals - Strong presentation and communication skills with ability to build relationships across all customer levels, from ICs to founders and C-level executives - Analytical approach to understanding customer needs and usage combined with creative solutions to drive expansion - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality - Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly - Experience running executive business reviews and managing executive relationships - Track record of consistently meeting or exceeding quota in fast-paced environments Preferred Qualifications: - Experience selling or expanding usage- or consumption-based API, infrastructure, or developer-platform products - Experience selling to technical founders, CTOs, and engineering leaders at AI-native or developer-first companies - Fluency in the LLM/AI market — model providers, capabilities, pricing models, and how AI-native companies evaluate and switch between them - Experience structuring larger commercial agreements (usage commitments, multi-year terms, enterprise contract terms) with fast-growing customers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Software Engineer, Platform
Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: - Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. - Collaborating with cross-functional teams to define, design, and deliver new features. - Proactively identifying opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. - Presenting technical information to teams and stakeholders, providing guidance and insight on development processes and technologies. Ideally you’d have: - 3+ years of full-time engineering experience, post-graduation with specialities in back-end systems. - Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred). - Show a track record of independent ownership of successful engineering projects. - Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders. - Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. - Experience with orchestration platforms, such as Temporal and AWS Step Functions. - Experience with NoSQL document databases (MongoDB) and structured databases (Postgres). - Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI). Nice to haves: - Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt). - Experience with authentication/authorization systems (Zanzibar, Authz, etc.) - Experience scaling products at hyper-growth startups. - Excitement to work with AI technologies. 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: $216,000 - $270,000 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.
Researcher, Agent Safety, Training and Evaluations
About the Team The Agent Safety team works to ensure that increasingly capable AI agents act safely, exercise sound judgment, and remain aligned with user intent. Our mission is to reduce the probability of severe unintended outcomes from increasingly capable AI agents while preserving their ability to act effectively and autonomously. Our work spans three areas: - Training: Create training methods, environments and data that teach agents to make better decisions in consequential situations. We turn real-world failures into training signals that prevent similar incidents, and identify precursor behaviors and mitigations to address emerging risks. - Measurements: Build evaluations and production metrics that identify emerging risks and measure whether our interventions work. - Oversight: Develop oversight and system mitigation mechanisms that reduce harmful actions while preserving useful autonomy (for example future versions of auto-review ). About the Role We’re looking for strong executors with excellent judgment, comfort with ambiguity, and an understanding of frontier model research. You don’t need prior safety or alignment experience, we also welcome people that recently realized that alignment and safety is a critical area to contribute to. 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: - Train and evaluate frontier models to reduce harmful or misaligned agent actions, forming clear hypotheses and executing independently through ambiguity. - Mine incidents and build scalable measurement, data-processing, and evaluation systems that turn real failures into repeatable safety signals. - Collaborate closely with post-training, capabilities, oversight, and pre-training partners to ship research-backed mitigations into large-scale training and agent systems. You might thrive in this role if you: - Have demonstrated strength in research engineering, ML engineering, quantitative research, or applied model research, with the ability to own ambiguous projects end to end. - Bring excellent technical execution across experimentation, data, evaluation, and/or infrastructure, plus strong intuition for modern frontier-model research. - Are motivated by agent safety and eager to work on urgent, practical problems even if your prior work was outside safety or alignment. 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 Deployment (Financial Services)
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 building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end-to-end — from statement of work (SOW) through production deployment. As a Manager of Technical Deployment for Financial Services, you own engagement portfolio health across your vertical. You set the bar for delivery quality and build the playbooks and evaluation frameworks that let the practice scale. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the Fortune 100. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in sales conversations in front of executive sponsors, and you will lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. Responsibilities - Hire, develop, and retain a team of TDLs embedded in Financial Services engagements. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interviews that hold it. - Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room. - Own portfolio health across the vertical. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team. - Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic's credibility with senior business, risk, and engineering leaders. - Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes. - Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from delivery plan through production. - Set the bar for delivery excellence — SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story. - Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale. - Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on Financial Services–specific go-to-market materials, reference cases, and positioning. - Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and report into the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes. - Bring the field back to Anthropic. Surface delivery lessons and emerging Financial Services use cases to Product and Research, and represent the vertical in leadership discussions. - Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments. - Travel to customer sites (25–50% expected). You May Be a Good Fit If You - Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher who has moved into deployments, with at least 3 years directly managing people who owned delivery outcomes. - Have a track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed teams working at client sites. - Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. - Bring depth in Financial Services. You have delivered technology programs inside banks, insurers, or asset managers, you understand how model risk, security, and compliance review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering. - Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. You are accountable for the technical direction your team sets alongside FDEs. - Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement. - Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage. - Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team. - Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $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.
Data Infrastructure Engineer, Pre-training
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 at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Staff level Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Responsibilities - Design and implement data processing infrastructure for large language model training (highly performant, reproducible, traceable) - Develop and maintain core processing primitives (e.g., tokenization, deduplication, chunking) with a focus on scalability - Build robust systems for data quality assurance and validation at scale - Collaborate with research teams to implement novel data processing architectures - Build and operate end-to-end data pipelines that turn raw web-scale corpora into training-ready datasets You may be a good fit if you have: - 5+ YOE outside of internships - Strong software engineering skills with experience building high-throughput fault-tolerant distributed systems - Hands-on experience with distributed computing frameworks, particularly Apache Spark - Excellent problem-solving skills and attention to detail - Strong communication skills and ability to work in a collaborative environment - Advanced degree in Computer Science or related field - Experience with language model training infrastructure - Background in Data Infrastructure, MLOps, or ML infrastructure Strong candidates may have: - Have significant experience building high-throughput fault-tolerant distributed systems - Expertise with Python and Rust - Passionate about system reliability and performance - Are comfortable working with ambiguous requirements and evolving specifications - Take ownership of problems and drive solutions independently - Are excited about contributing to the development of safe and ethical AI systems - Can balance technical excellence with practical delivery - Are eager to learn about machine learning research and its infrastructure requirements Sample Projects - Designing and implementing distributed computing architecture for web-scale data processing - Building scalable infrastructure for model training data preparation - Developing fault-tolerant distributed processing systems - Implementing new infrastructure components based on research requirements 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: $500,000 - $850,000 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.
Agentic AI Engineer
Remote agentic AI engineering role building production AI systems with RAG, LLMOps/MLOps, tool use, and decision-support automation in enterprise environments.
Member of Technical Staff - AI Platform Engineer
AI platform engineering role focused on internal research platforms, GPU workload orchestration, model serving, evaluation surfaces, CI/CD hardening, and agent-supporting infrastructure.
Staff Software Engineer, RL Environments
Hands-on staff-level AI infrastructure role building the foundation for large-scale RL environments, sandboxed execution, orchestration, verification, and agent training systems.
Staff Software Engineer
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Software Engineer, Adaptive Experiences Platform Waterloo, ON About the Role The DTIS Nurture organization is building the next generation of adaptive experiences for PlayStation. Our vision is to make every customer touchpoint more relevant, useful, and joyful by combining reusable experience capabilities with personalization, merchandising, experimentation, and intelligent decisioning. We are looking for a Staff Software Engineer to help lead the evolution of our Dynamic Experience Management, allowing teams to create and optimize experiences without requiring bespoke implementation for every client or a client release for every layout change. You will be a hands-on technical leader working across the experience stack. You will also shape the architecture needed to extend capabilities beyond PS5, across web, mobile, and other PlayStation devices. This is an opportunity to define foundational technology that will change how PlayStation builds, delivers, experiments with, and learns from customer experiences at scale. Responsibilities - Define and drive the technical direction for our experiances SDK, translating the adaptive-experiences vision into an incremental, production-ready architecture. - Lead the modernization of the PS5 Store experience runtime, including migration from legacy EMS SDK and client-specific rendering paths to schema-driven DXM experiences rendered through Content SDK. - Design and evolve the platform-independent composition layer, public TypeScript APIs, versioned schemas, content adapters, component model, data bindings, and platform renderer contracts. - Build reusable experience primitives and native rendering capabilities that support responsive layouts, personalization, experimentation, telemetry, accessibility, localization, and platform-specific interaction models. - Establish safe coexistence and migration patterns, including backward compatibility, capability negotiation, validation, feature flags, fallbacks, rollback, and observability. - Profile and optimize bundle size, startup and time-to-interactive performance, memory usage, rendering behavior, and runtime reliability on resource-constrained client platforms. - Improve developer experience through clear interfaces, reference integrations, test harnesses, preview and debugging tools, automated compatibility testing, and high-quality documentation. - Help establish governed, agent-assisted authoring and validation workflows that can translate design and business intent into trusted artifacts, supported by policy checks and evaluation suites. - Partner with client, design system, merchandising, content, personalization, experimentation, and platform service teams to align contracts and deliver end-to-end capabilities. - Provide technical leadership across team boundaries, mentor engineers, make sound trade-offs in ambiguous problem spaces, and communicate architecture and decisions to technical and non-technical stakeholders. Required Qualifications - Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. - 8+ years of professional software engineering experience, including significant experience designing and delivering production client platforms, SDKs, frameworks, or shared libraries. - Expert-level proficiency with TypeScript or JavaScript and strong experience with React, React Native, or a comparable component-based client framework. - Strong software architecture and API design skills, including modularity, dependency management, versioning, backward compatibility, and incremental migration of large production systems. - Experience building data-driven or server-driven user interfaces, reusable component systems, or runtime composition frameworks. - Demonstrated ability to diagnose and improve client performance and reliability using profiling, telemetry, automated testing, and production observability. - Experience designing for more than one client environment, such as console, mobile, web, TV, or embedded platforms, with a practical understanding of platform-specific constraints. - Proven track record of solving ambiguous, cross-functional problems with minimal direction and driving alignment without relying on formal authority. - Strong written and verbal communication skills, including the ability to document architecture and explain complex technical decisions clearly. Preferred Qualifications - Experience with console development, living-room interfaces, focus-based navigation, or performance-constrained native clients. - Experience with schema-backed declarative UI, domain-specific languages, JSON Schema, component expansion, data binding, hydration, or client-side rendering engines. - Experience building or integrating client SDKs, content management or merchandising systems, personalization platforms, experimentation frameworks, or design systems. - Experience migrating a large client application away from a legacy rendering or content-delivery framework using staged rollout, compatibility layers, and measurable exit criteria. - Experience developing platform adapters or renderers for iOS, Android, web, or other native client environments. - Familiarity with content and layout separation, runtime content sources, telemetry provenance, accessibility, localization, and safe fallback behavior. - Experience with developer tooling, visual preview systems, contract testing, schema validation, or automated cross-platform regression testing. - Experience applying generative AI or agentic workflows to software or content creation, including evaluation, governance, and deterministic output constraints. - A track record of technical leadership and mentoring across multiple teams. Additional Skills - Motivated self-starter who combines long-term architectural thinking with pragmatic, incremental delivery. - Customer-focused and attentive to developer experience, operational usability, and measurable product outcomes. - Comfortable working in a fast-paced, collaborative environment with partners across product, design, engineering, and operations. LI-KS1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $188,200 - $282,200 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Strategic Account Executive, Enterprise - Thailand
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. ABOUT THE ROLE As a Strategic Account Executive, Enterprise at Cursor, you'll drive revenue growth across a named territory of large enterprise accounts in the East. You'll work closely with engineering organizations, from CTOs to individual development teams, to understand how they build software, demonstrate how Cursor transforms developer productivity, and land and expand Cursor across their organizations. This role requires deep technical fluency, the ability to navigate complex enterprise buying processes, and a genuine passion for AI-powered developer tools. You'll be a foundational member of our enterprise sales motion, based out of Bangkok, Thailand. WHAT YOU'LL DO - Own a named book of enterprise accounts across the East; drive new logo acquisition and expansion revenue - Lead complex, multi-threaded sales cycles across Engineering, Product, Security, Procurement, and Legal - Become a trusted product expert; guide prospects through trials, evaluations, and large-scale rollouts - Build executive relationships and cultivate day-to-day champions within each account - Quantify value with clear ROI cases tied to developer productivity and AI adoption - Be the voice of the customer and influence the roadmap with actionable feedback - Partner closely with Field Engineering and our AI Deployment team to deliver outcomes from proof of concept to expansion YOU MAY BE A FIT IF - You have 5+ years of closing experience in enterprise tech sales, ideally selling developer tools, technical SaaS, or emerging technologies - You have a consistent track record of landing new logos and exceeding quota through self-sourced pipeline generation - You're a true hunter - you proactively build pipeline from scratch through outbound prospecting, creative sourcing, and relentless follow-up, rather than relying on inbound demand - You're comfortable navigating complex sales cycles and selling to technical stakeholders, from ICs to CTOs - You bring an analytical approach to understanding customer needs combined with creative, tactical follow-through to advance opportunities - You're based in the New York area and excited to work out of our Manhattan office - You're an excellent communicator who can build trust across all levels of an organization - You're passionate about AI and excited by the idea that transforming how software gets written is one of the most important problems to work on right now
Talent Sourcer, G&A
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 creative, high-performing talent sourcers who are eager to take on a new challenge as we are in the early stages of building the Talent Acquisition function. In this role, you will master a new domain of sourcing, source world-class business talent, and influence the scaling of a high-growth Canadian tech company. If you consider yourself resilient, collaborative, influential, and a lifelong learner with an established network, we’d love to hear from you! In this intermediate level role you will: - Build, own, and nurture a strong pipeline of world-class business talent across Sales, Finance, Revenue, Marketing & Communications, and Operations - Deliver a world-class recruiting experience that reflects Cohere's premium brand - Partner with hiring managers and talent partners to find and engage passive talent through creative sourcing methods - Maintain deep market intelligence on business talent trends and competitive landscape - Manage comprehensive recruiting funnels in our ATS, updating progress and analytics regularly - Develop creative, proactive sourcing approaches to optimize the top of the funnel for business roles - Cultivate relationships with established networks across business communities and industry leaders - Identify and own additional high-impact talent projects as they emerge Who you are: - You have 3 -7 years of experience sourcing for business roles across Sales, Finance, Revenue, Marketing & Communications, and Operations in markets like EMEA/US etc. - You have a proven track record of sourcing candidates in high-growth and a high-bar environments (startup, technology, AI experience strongly preferred) - You bring an established, high-profile network in business communities - You're a creative problem solver who thrives in fast-paced, ambiguous environments - You're a natural influencer with exceptional relationship-building skills - You leverage data and analytics to drive sourcing decisions and measure effectiveness - You're passionate about diversity, equity, and building inclusive business teams - You have a strategic mindset with the ability to see beyond immediate hiring needs Why Cohere - Impact: Shape the future of AI talent at a cutting-edge company. - Culture: Collaborative, innovative, and mission-driven. - Growth: Join a team scaling from 800 to 2000+ over 18 months. Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.
Early Careers & Interns 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 dedicated Early Careers & Interns Specialist to help us build a world-class pipeline of future AI talent. In this role, you will design and execute comprehensive early careers programs that attract, develop, and retain top student and recent graduate talent, positioning Cohere as the premier destination for ambitious early-career professionals in AI. As an Early Careers & Interns Specialist, you will: - Design and implement strategic early talent programs with clear goals for intern and graduate pipelines - Align with early careers frameworks with Cohere's global growth plans and talent needs - Story tell the comprehensive learning objectives and core projects for each intern cohort - Build and maintain partnerships with top universities and colleges to source high-potential candidates - Develop targeted employer branding strategies specifically for student markets - Represent Cohere at career fairs and host on-campus recruitment events - Partner with the People team to execute seamless Intern onboarding and orientation experience - Establish and manage mentor/buddy pairing systems for new starters - In partnership with the People team, conduct regular progress check-ins, assess overall engagement and oversee performance reviews for interns - Consider the full life cycle of the intern experience, from onboarding through to internship completion/long term retention - Track key program metrics including conversion rates, retention, and ROI - Gather and analyze feedback from managers and interns to continuously improve program effectiveness - Manage budgets, logistics, and scheduling for all early careers initiatives - Consider the evolution of an intern program, such as ours, as we scale. What works well today versus what will break and need iteration as we double in size? About you; - 5+ years of experience in global early careers, internships, or graduate recruitment with a focus on technical roles - Expertise in international university partnership development and global campus recruitment for STEM fields - Demonstrated experience building inclusive and equitable Intern programs with excellent project management skills and exceptional attention to detail - Commitment to talent development and exceptional, inclusive early-career experiences - Proven ability to track and analyse program metrics data - Innovative approach to developing learning objectives and project frameworks - Strong collaborative skills with excellent communication abilities - Comfortable working across diverse stakeholder groups and locations WHY COHERE - Impact: Shape the future of AI talent at a cutting-edge company. - Culture: Collaborative, innovative, and mission-driven. - Growth: Join a team scaling from 800 to 2000+ over 18 months. If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you. We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. 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.
Sales Development Engineer
About the Role As a Sales Development Engineer Representative at Together.ai, your territory is the world. You will have the opportunity to be at the cutting edge of one of the most important technological shifts of our time, speaking daily with founders, data scientists, researchers, and CTOs to help them build successful AI-driven businesses. Your primary focus will be to surface, qualify, and convert opportunities for potential prospects or users on the Together platform, focusing on both GPU sales & API platform sales. The ideal candidate will have a passion for technology, entrepreneurship & AI, and thrive in a fast paced environment. Requirements - 1-2 years of technical experience or education and interest in customer facing roles - Desire to work with highly technical teams and products - An excellent communicator with both clients and internal teams - Adaptability, coachability, high drive and sense of urgency - enjoys working within a fast-paced environment wearing multiple hats - Enjoys experimenting with the sales pitch/process to achieve company goals - Experience and success with cold & warm calling/prospecting, making high volumes of calls & emails daily Nice to Have - 2 years of experience in sales, with a track record of exceeding targets - Baseline understanding of compute hardware products Responsibilities - Convert inbound interest or source outbound interest and convert into commercial contracts alongside Account Executives - Convert users of the Together platform to broader commercial opportunities alongside Account Executives - Collaborate on product roadmaps & features by bringing the voice of the customer into Together - Meticulously prospect and manage a pipeline of new business opportunities in CRM (Pipedrive, Salesforce, etc) - Generate sales interest via multi-channels About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $90K-150K + commission + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy
Get tailored job alerts, not another account to manage
Start with your email. We’ll send the newest roles for this site each day; unsubscribe in one click.
Coming soon: automatic applications. You’ll be able to define your criteria and let Jobs in AI apply to matching roles. This is a preview only—applications are not automated today.