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About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the job Mistral is hiring a Head of FDE Learning Programs to build the learning system for one of the company’s fastest-growing organizations. Mistral is scaling its FDE organization from its first hire to several hundred Deployment Strategists and Applied AI Engineers within two years. Your mandate is to make capability grow as fast as headcount without lowering the bar for customer work. You will own: - Learning content: Build practical learning across three areas: technical skills, strategic and business capabilities, and product enablement. - Onboarding: Build a clear path from a new hire’s first week to independent customer work. - Technical bootcamps: Turn new products, research, and field methods into practical training for customer work. - Strategic bootcamps : Empower client-facing teams of FDEs to drive business and strategic discussions and to set up for success large partnership programs with customers - Program ownership: Own the roadmap, curriculum, contributor model, regional delivery, tools, measurement, and central team. - Scaling: Launch useful programs now, then adapt them for larger cohorts without making the content generic or relying on a small group of experts. - Team building: Launch the first programs, build a network of instructors, and hire the team needed to support several hundred FDEs. - Cross-functional work: Work with functional managers, Product, Engineering, Science, People, GTM Enablement, DevRel, and regional leaders. - Readiness standards: Ensure FDEs in every region meet the same standard, can find current material, learn from recent customer work, and understand expectations at the next career level. - Knowledge structuration: Ensure internal resources are up to date and pushed to the right stakeholders with a knowledge management approach. How We Work in Solutions - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. About you You have helped build a learning, enablement, or capability function for a technical organization during rapid growth. You can start as the first dedicated owner, deliver useful programs immediately, and build the team and operating model needed to serve several hundred people. - - You are technically fluent enough to work credibly with AI engineers, Product, and Science, inspect the substance of a program, and challenge material that is unclear or outdated. - You have designed programs that work across cohorts, regions, and experience levels without reducing the content to generic training. - - You can lead work across senior stakeholders, subject-matter experts, managers, and operational partners without relying on reporting lines. - You can make firm trade-offs when hiring demand, expert capacity, and program quality compete for attention. - You pay attention to the full learner experience, including communications, scheduling, practice, feedback, and manager follow-through. - You use evidence to decide which programs to expand, revise, or stop. - You communicate clearly with executives, managers, technical experts, and learners. - You are fluent in English and can work with teams across regions and time zones. Ideally, you have - Scaled a one-person or small learning function into a team and program that served hundreds of technical employees. - Built onboarding that kept pace with rapid hiring in an engineering, FDE, solutions, consulting, or professional-services organization. - Designed and operated technical bootcamps or other cohort-based learning programs. - Worked in technical DevRel, developer education, or a related role built around demos, code examples, workshops, and practitioner communities. - Built role- and level-based curricula connected to skills frameworks or career progression. - Managed a global program with contributors and learners across multiple regions. - Worked closely with Product, Engineering, Science, People, and customer-facing teams. - Designed practical assessments, readiness standards, or certification where appropriate. - Used learning platforms, knowledge systems, AI coaches, or program-operations tooling. - Worked in AI/ML or another technically complex and fast-changing field. Why this role matters Mistral is compressing years of organization growth into two. An FDE organization of several hundred people cannot depend on manager-by-manager onboarding, one-off sessions, and informal access to experts. If learning capacity trails hiring, ramp times would lengthen, standards would diverge, and teams would repeat the same mistakes across regions. This role will build the programs, teaching network, and systems at the same pace as the organization. Two years from now, success would mean several hundred Deployment Strategists and Applied AI Engineers working from shared standards, learning new capabilities quickly, and improving the system with evidence from customer work. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About the Role OpenAI’s largest and most strategic customers are turning AI ambition into deployments that change how their organizations work. As a Delivery Lead, you will own delivery of priority AI initiatives for these customers, leading complex, high-impact deployments from planning through launch and adoption. You’ll establish an integrated delivery plan, drive execution against launch commitments, resolve blockers, and lead progress toward measurable customer value. You’ll partner closely with account and technical teams, FDEs, customers, and delivery partners to turn customer priorities into successful deployments. You’ll bring a clear view of delivery progress, risks, and expected outcomes, helping teams make informed decisions and connecting successful execution to consumption and growth. This is a senior, customer-facing role for someone who can move between executive conversations and practical details that determine whether a deployment succeeds. You bring technical fluency, sound judgment, and the ability to create clarity and drive action in complex, evolving environments. What You’ll Do - Own delivery of priority AI initiatives. Lead complex customer engagements from scoping and planning through deployment, launch, and initial adoption. - Build and drive an integrated delivery plan. Establish clear scope, milestones, accountable owners, dependencies, resource needs, and success measures across customer, OpenAI, and partner teams. - Resolve blockers and drive decisions. Identify risks early, work through dependencies and resource constraints, and bring the right stakeholders together to resolve tradeoffs and keep delivery moving. - Lead launch readiness and activation. Drive rollout and enablement planning, address technical and organizational readiness gaps, and remove barriers to initial adoption and usage. - Connect delivery to customer value. Define expected outcomes and measurement approaches with customers and account teams. Track adoption and consumption, assess results against agreed baselines, and communicate the value achieved. - Provide a clear view of delivery health. Lead customer and internal delivery reviews that drive decisions and action. Communicate progress, launch confidence, risks, and implications for expected consumption and revenue timing. - Improve how we deliver. Turn customer experience into repeatable playbooks, practical tools, and actionable feedback for product and delivery teams. What We’re Looking For - 7+ years of experience leading complex enterprise technology deployments, customer delivery programs, or transformation initiatives involving multiple teams and partners. - A track record of driving programs from scope through launch and adoption, with accountability for delivery commitments and measurable customer outcomes. - Strong technical aptitude, with the ability to understand AI systems, APIs, integrations, enterprise architecture, security dependencies, and deployment risks. - The ability to translate customer priorities into actionable delivery plans with clear milestones, owners, dependencies, and success measures. - Strong judgment under ambiguity, including the ability to identify material risks, navigate competing priorities, and drive timely decisions. - Experience building trust with customers and leading across teams outside your reporting line while holding stakeholders accountable to shared commitments. - Excellent communication skills, with the ability to engage executives, technical specialists, and customer operators and explain complex delivery issues clearly. - Commercial awareness and an understanding of how deployment, adoption, and consumption contribute to customer value and growth. - A practical approach to building repeatable delivery methods while adapting to the needs of individual 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.

About the Team OpenAI’s Strategic Finance organization provides financial insights and guidance to support the company’s long-term strategy and ambitious growth. We partner across Product, Partnerships, Engineering, and GTM to allocate resources to the highest-impact opportunities while protecting sustainable unit economics. The Applications Technology Strategic Finance team partners closely with Product to scale core offerings and bring new products to market. We lead revenue forecasting and performance management across the product portfolio, including economic margins, pricing, and partnership deal pricing and structuring. About the Role We are hiring a senior strategic finance thought partner to support OpenAI’s Ads business. You will partner closely with Ad Sales leadership and be responsible for driving financial planning and forecasting, evaluating new initiatives, and providing decision-quality insights on performance. You will help build the financial foundations required to scale the Ads business—from forecasting and performance measurement to supporting our GTM strategy to economic modeling for new products and initiatives. This is a unique opportunity to influence the trajectory of frontier AI products while working at the intersection of strategy, finance, and technology. This role is based in San Francisco, CA or New York, NY. 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: - Serve as the Strategic Finance partner to our Ads sales team, helping shape business strategy and investment decisions. - Support financial evaluation for our Ads business, including modeling revenue, establishing core metrics, identifying leading indicators, tracking variance to expectations, and surfacing risks and opportunities. - Partner with Product and GTM leaders on strategic initiatives and new product launches to shape growth plans. - Analyze business trends and translate data into actionable insights that inform both long-term strategy and day-to-day decision making. - Build and scale financial planning rigor, including forecasting methodology, management reporting, and performance narratives that improve decision velocity and accountability. - Stay up to date on market trends and competitive dynamics to refine financial strategies. - Prepare and deliver high-quality executive and Board materials communicating business performance, key drivers, and strategic recommendations. You might thrive in this role if you have: - 8+ years of experience in investment banking, consulting, or buy-side investing, coupled with operating experience at a fast-paced, scaling technology company. - 2+ years in Ads Finance, with Ads P&L ownership and experience supporting growth across multiple verticals, formats, and international markets. - Exceptional analytical and financial modeling skills, including building detailed operating models and product P&Ls to evaluate growth opportunities and investment decisions. - Strong business judgment and the ability to critically assess financial performance, opportunities, and risks. - The ability to translate complex financial data into clear insights and recommendations, and communicate them effectively to senior leadership. - High attention to detail and a commitment to accuracy in financial analysis and reporting. - Familiarity with digital advertising business models. - A hands-on, roll-up-your-sleeves mentality and comfort operating in a fast-moving, ambiguous environment. - Enthusiasm for the deployment of AI and OpenAI’s mission. - Experience with SQL. 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.

About the Team The Enablement Lead (EL) team enables organizations to turn OpenAI products into real, sustained impact through world-class enablement and training execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI’s technology into durable capability—through structured training, technical enablement, and scalable deployment programs. By helping customers move from experimentation to production, the EL team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work. About the Role The Enablement Lead, Knowledge Work is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering enablement experiences that support a repeatable adoption framework, driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise and Agents. This role blends strong product fluency, instructional design, and customer advisory. You will lead live workshops, deliver services, and design adoption interventions for audiences ranging from everyday business users to technical practitioners and executive leaders, helping customers understand not just what OpenAI’s products can do, but how to apply them effectively in real world workflows. Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate product features into tangible outcomes across teams and business functions. You will own outcomes related to activation and sustained usage by shaping how enablement drives measurable customer impact. This role is based in our Seoul office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own the enablement of OpenAI products, including ChatGPT Enterprise and Agents, helping define effective enablement patterns that support adoption across business and technical teams within enterprise organizations. - Serve as a Subject Matter Expert (SME) for designated product areas, building deep expertise, supporting internal enablement, identifying emerging customer use cases for new product surfaces, and aggregating customer feedback to inform product development. - Lead customer enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption. - Design and deliver high-impact engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams. - Drive customer activation, sustained usage, and measurable business value through structured enablement programs designed for durable, organization-wide adoption. - Partner closely with Sales, Solution Architects, Delivery Leads to drive adoption across our core product suite. - Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions. - Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements. - Serve as a Subject Matter Expert (SME) for designated product areas, building deep expertise, supporting internal enablement, identifying emerging customer use cases for new product surfaces, and aggregating customer feedback to inform product development. You might thrive in this role if you: - Have 6+ years of experience in customer facing, enablement, or instructional roles, engaging C-level, business, and technical audiences in complex enterprise environments. - Possess exceptional presentation and communication skills, particularly when translating AI capabilities into clear, practical value for senior and executive level audiences. - Have strong product fluency across ChatGPT, Agents, and the broader OpenAI ecosystem, with a practical understanding of how AI capabilities can be applied to real world workflows and enterprise use cases. - Have experience leading workshops and enablement programs, with the ability to design learning journeys, facilitate live sessions, and respond to questions in real time. - Can identify patterns across customers and translate them into scalable approaches that improve adoption across the broader customer base - Can connect product capabilities to concrete business outcomes such as productivity gains, operational efficiency, cost reduction, risk mitigation, or revenue impact. - Are comfortable thinking on your feet in live customer environments, adapting quickly to new information, shifting priorities, and real time questions while maintaining clarity, ownership, and momentum. - Bring a humble attitude, an eagerness to help others succeed, and a strong curiosity to continuously learn and deepen your understanding of emerging AI capabilities. - Are personally committed to fostering the safe and responsible evolution of AI. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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 Customer Success organization covers our most strategic enterprise accounts through dedicated Customer Success resources, but the majority of our customers will never be reached that way. Programmatic Customer Success is how we close that gap: scalable digital journeys, AI-built engagement plays, and partner-delivered activation motions that drive habitual Claude adoption across a much broader customer base. This is a new function, and you'd be its first leader. You'll report to the Head of Strategic Deployments & Success and work closely with Product, Partnerships, Growth Marketing, and Strategy to design and operate the system that moves customers from signed contract to deeply embedded, outcome centric usage. The right person for this role has built something like this before, at real scale, and is genuinely excited to build it again from the ground up with better tools. We anticipate using Claude as a core part of how the team operates, but will supplement with best of breed SaaS products where appropriate. Key responsibilities - Define the customer journey and moments that matter along the journey that lead to daily usage of Claude in a way that delivers outcomes for Claude users - Define and own the programmatic CS strategy: how we tier accounts, what motion each tier receives, and how customers move between them as their needs evolve - Design and ship digital success programs, including lifecycle communications, in-product nudges and self-serve onboarding in a way that drives activation and habitual usage without human-touch coverage - Build and run AI-powered engagement plays that extend the team's reach; work with Product to clarify what this team builds versus what lives in the product itself - Set the quality bar and requirements for partner-led activation, and maintain a tight feedback loop with our Partnerships team who owns the partner ecosystem - Establish the metrics framework for programmatic success: define what "activated" means at each tier, identify leading indicators, and build the instrumentation to track them - Run a rigorous experimentation program to understand which motions actually change customer behavior - Hire and lead a small, high-leverage team while bringing cross-functional partners along on the vision and the operating model Minimum qualifications - Proven experience leading and building programmatic, digital success, lifecycle, or PLG motions at significant scale — with direct ownership of an adoption or activation outcome - Track record of building scalable systems and programs, not just managing existing ones; you've started from a blank page before - Strong cross-functional instincts — comfortable writing briefs that other teams execute against, resolving handoff ambiguity, and influencing roadmaps without direct authority - Data-driven approach to decision-making, including experience designing experiments that distinguish real behavior change from activity metrics - Experience managing and developing teams Preferred qualifications - Experience spanning more than one of: digital/PLG, partner ecosystems, lifecycle marketing, or scaled CS — ideally combined into a single integrated motion - Hands-on familiarity with AI-powered workflows or automation as a force multiplier for a small team - Background working at a fast-growing technology company where the playbook was still being written - Experience with tiered coverage models and designing the handoffs between high-touch and low-touch 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 - $435,000 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.

About Scale AI Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. The Role Scale is looking for a seasoned world-class leader and operator to architect and expand our partnership ecosystem and transform how Scale goes to market globally. This leader will build high-impact relationships with world-class partners, focused on professional services firms, to accelerate the development of AI applications with Scale. We are looking for a revenue-minded leader to own GSI-sourced and GSI-influenced pipeline. You should be able to set the strategy and also run the operating cadence it takes to turn alliance agreements into closed revenue: joint account plans, co-sell motions, practice building, and delivery enablement. You will source, evaluate, negotiate, and execute partnerships covering go-to-market, joint solutions, and delivery areas. This is a highly cross-functional role, as you will collaborate across internal teams including product, engineering, finance, legal, marketing and operations. You will - Define and deliver the strategy and roadmap for Scale's GSI partnership program, including partner selection, tiering, and investment priorities - Build trusted relationships with alliance leaders, AI practice leads, and C-level executives at top GSIs and consultancies - Structure and negotiate alliance agreements (e.g., resale, referral, co-sell, joint go-to-market, and delivery partnerships) and get cross-functional alignment on terms - Build joint account plans with GSI partners for Scale's priority Enterprise accounts and drive co-selling with Scale's sales teams - Help partners build Scale-certified practices: training, technical enablement, certification, reference architectures, and repeatable delivery playbooks - Co-develop industry-specific solutions and offerings with partners (e.g., financial services, healthcare, public sector, telecom) that solve high-value client problems - Design partner incentives, compensation alignment, and rules of engagement so Scale sales teams and GSI partners pull in the same direction - Generate significant top-of-funnel pipeline through the GSI channel, with clear accountability against Enterprise revenue targets - Bring partner and client feedback back to Product and Engineering so GSI delivery needs show up in the roadmap - Own post-signature execution: partner onboarding, delivery quality, joint marketing, and quarterly business reviews - Be measured on (1) GSI-sourced and influenced revenue, (2) number and quality of certified partner practitioners and joint wins, and (3) growth and health of the GSI ecosystem Ideally you’d have - 12+ years of experience in revenue-carrying business development, strategic partnerships, partner management, or similar roles at a technology company or payments company, with significant time spent managing GSI or major consultancy relationships (from the software vendor side, the GSI side, or both) - An existing network across alliance and AI/data practice leadership at major GSIs - A track record of building a GSI program that delivered measurable sourced and influenced revenue - Deep understanding of how GSIs make money, staff engagements, and choose which technologies to build practices around - Experience with enterprise AI, data, or cloud platform partnerships - Experience negotiating complex multi-party commercial agreements - Comfort working in a highly matrixed organization and influencing without direct authority - Entrepreneurial drive, comfort with ambiguity, and an analytical, data-driven approach to managing a partner business - Bachelor's degree required 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: $134,400 - $168,000 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.

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the role: We’re hiring a Sales Development Manager (New York City or San Francisco) to lead and scale our founding SDR team at LangChain. Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline. This role will own the performance, coaching, and development of the SDR team , while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts. What You'll Do: - Lead and coach a team of SDRs responsible for generating qualified pipeline - Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment - Recruit top SDR talent and grow the team as LangChain continues to scale - Develop SDR talent through coaching, call reviews, and structured feedback - Build repeatable outbound and inbound qualification playbooks - Partner with marketing to convert inbound demand into qualified opportunities - Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals - Implement systems and workflows that improve SDR productivity and effectiveness - Use data to continuously improve performance, analyzing conversion rates across the funnel How to be successful in this role: - Have 5+ years of experience in sales development - Have 1–3+ years managing SDRs or leading a sales development team - Are comfortable working with technical products and developer audiences - Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.) - Are highly data-driven and comfortable managing performance through metrics - Are passionate about coaching and developing early-career sales talent - Thrive in fast-moving environments where processes are still evolving - Have strong communication and organizational skills Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an International Accounting expert (APAC) to join our International Accounting team in Singapore. This role reports to our APAC Accounting Lead and is the first hire in our Singapore hub. In this pivotal role, you will build and implement the framework for local compliance across our APAC entities (Singapore, Japan, Korea, Australia and India), with an initial focus on Singapore, Japan and Korea, while flexibly adapting to our evolving needs as we scale. As a key contributor to establishing our regional accounting operations, you'll partner closely with our global teams while taking ownership of the processes and systems you help create. If you're looking for an opportunity to make a significant impact on the financial infrastructure of an innovative AI company at the forefront of safety, come join us in our mission to build cutting-edge, safe AI. Responsibilities - Build and implement frameworks for local compliance across our APAC entities, ensuring alignment with both local statutory requirements and global standards - Establish and maintain frameworks for local financial statement review on a monthly basis, including local flux analysis and variance explanations - Participate in the development and implementation of international finance policies, adapting existing global policies for regional requirements and establishing local approval workflows - Execute monthly consolidation processes and eliminations across international entities, including journal entry preparation and booking, intercompany eliminations, and reconciliations, to ensure timely and accurate group-level reporting - Manage intercompany transactions and develop frameworks to support global scaling, including transfer pricing documentation and compliance - Handle foreign exchange (FX) transactions and develop monthly processes for currency consolidation and risk management - Perform comprehensive reconciliations of balance sheet accounts, ensuring accuracy and completeness of financial records - Support local statutory audits of the APAC entities, coordinating with external auditors and preparing comprehensive audit schedules and documentation - Support tax compliance framework development and implementation across international jurisdictions - Partner with US-based teams to ensure seamless integration of international operations with global financial processes - Leverage technology and tools to drive continuous improvement, automation, and operational excellence across international accounting processes, with a focus on finance transformation You may be a good fit if you - Have 8+ years of accounting experience, preferably in high-growth environments with multi-country exposure across APAC - Have a bachelor's degree in Accounting or Finance, or equivalent practical experience - Are a qualified accountant with professional certification (CA, CPA, ACCA or equivalent) - Possess deep knowledge of US GAAP, IFRS, and the local statutory framework in at least one of Singapore, Japan, Korea, Australia or India, with strong understanding of statutory reporting requirements - Are proficient in Workday, NetSuite, or similar ERP systems, with experience building and optimizing accounting workflows - Have experience with consolidations, eliminations, and intercompany accounting processes - Demonstrate curiosity and initiative, with a strong drive to independently identify and solve problems - Are highly collaborative and able to build strong relationships across time zones and cultures - Ability to effectively communicate and influence in a globally distributed team - Take high ownership of your work and have the flexibility to adapt to changing needs and priorities - Exhibit strong organizational and time-management abilities with exceptional attention to detail Strong candidates may also: - Have prior experience at a high-growth technology company, particularly in international operations - Bring FX experience including hedging strategies and currency risk management - Have worked with complex group structures and multi-jurisdictional consolidations - Demonstrate comfort with ambiguity and building processes from the ground up - Possess experience working across different time zones and cultural contexts - Have knowledge of AI/ML company dynamics and business models - Show passion for Anthropic's mission to develop safe and ethical AI systems, with enthusiasm for leveraging AI tools to drive automation and process improvement 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.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. We are seeking an experienced Operations Manager to lead Product Program Management, the central program management function in Anthropic's Product organization. This team turns the company's hardest cross-functional obligations into programs that run: it stands up the strategic programs Anthropic needs to unblock growth, then runs the scaled operations behind them so partner teams can focus on building and selling Claude. You'll lead managers and program managers across Commercialization Operations, Community and Executive Escalations Operations, and Marketplace Operations, and you'll build a generalist program management bench that incubates new programs for the Product organization. The ideal candidate combines strategic judgment about what the company should take on with the operational rigor to make those programs run at scale. About Anthropic Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Responsibilities - Set the team's charter and priorities: decide which cross-functional programs Product Program Management takes on and which it scales - Build strong partnerships with the teams Product Program Management supports across Product, Engineering, GTM, Finance, Legal, and more, so programs reflect their priorities and they see the team as a trusted extension of their own - Hire, lead, and develop a high-performing organization of managers and program managers across Product Program Management, including: - Commercialization Operations, which runs commercial launches for new products that will be billed or sold, plus programs like credits and promotions, trusted access, and local pricing, in partnership with Finance, Billing Engineering, and GTM - Community and Executive Escalations Operations, which handles social listening and escalations and turns them into product fixes - Marketplace Operations, which runs review and publishing for Anthropic's MCP Directory and plugin ecosystem - Build a small generalist program management team that incubates new cross-functional programs for the Product organization, runs them until they're stable, and then either matures them into their own pillar or shifts them to a long-term owner - Define success metrics for each program and report on them through regular business reviews with Product leadership - Provide thoughtful coaching and feedback to your direct reports, and partner with them on their career development and growth You may be a good fit if you have - 12+ years of experience in program management, business operations, or a related field, ideally at a high-growth technology company - 5+ years of people management experience, including managing managers - A track record of building programs from 0 to 1 and then scaling them into durable operations - Experience with commercial launches, billing and pricing operations, or marketplace and developer platform operations (more than one a plus) - Strong judgment and execution on prioritization: you can stack-rank competing asks from Product, Engineering, GTM, and Finance into one roadmap and explain the tradeoffs - Experience partnering with engineering teams to replace manual operational work with tooling and automation - Excellent cross-functional influence with stakeholders who don't report to you, including executives - Clear, concise written communication: you can brief an executive in three sentences and write a process doc the next person can run from - Comfort with ambiguity and a bias toward action in a fast-moving environment with many priorities at once - Excitement about building the operational backbone that lets Anthropic's products launch and scale safely The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the role: We’re hiring a Manager - Sales Development Representatives (SDR) (London) - EMEA to lead and scale our founding EMEA SDR team at LangChain. Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline. This role will own the performance, coaching, and development of the SDR team , while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts. What You'll Do: - Lead and coach a team of SDRs responsible for generating qualified pipeline - Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment - Recruit top SDR talent and grow the team as LangChain continues to scale - Develop SDR talent through coaching, call reviews, and structured feedback - Build repeatable outbound and inbound qualification playbooks - Partner with marketing to convert inbound demand into qualified opportunities - Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals - Implement systems and workflows that improve SDR productivity and effectiveness - Use data to continuously improve performance, analyzing conversion rates across the funnel How to be successful in this role: - Have 5+ years of experience in sales development - Have 1–3+ years managing SDRs or leading a sales development team - Are comfortable working with technical products and developer audiences - Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.) - Are highly data-driven and comfortable managing performance through metrics - Are passionate about coaching and developing early-career sales talent - Thrive in fast-moving environments where processes are still evolving - Have strong communication and organizational skills Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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 manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: - Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. - Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. - Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. - Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities - Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. - Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. - Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. - Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. - Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. - Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring - A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. - Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. - Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations - Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. - Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications - Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. - Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. - Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. - Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. - Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. - Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. - Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Marketing Analytics Lead at Anthropic, you will own how we measure marketing. You'll build and run a single measurement framework that shows how marketing activity turns into pipeline, revenue, and product usage, and you'll make that framework something marketers and executives actually use to make decisions. As our marketing programs grow across enterprise and product-led motions, your work will determine whether we invest in what works. In this role, you'll own the marketing measurement framework end to end: the metric definitions, the data models behind them, the dashboards that surface them, and the insights they produce. This is a hands-on individual contributor role; data science and data engineering will support you, but you'll do the core work yourself. You'll partner closely with field marketing, partner marketing, campaign marketing, finance, sales strategy, sales development, data science, and data engineering to align on definitions and keep the whole organization working from one view of the funnel. Key responsibilities - Own the marketing measurement framework that connects marketing activity to pipeline, revenue, and product usage - Set the direction for the framework and extend it to programs it doesn't cover yet - Define marketing metrics clearly and get cross-functional teams to agree on definitions early - Build and maintain the data models that power marketing reporting - Develop dashboards that marketers and executives rely on in their weekly reviews - Teach marketers and executives how the metrics work, and keep teaching as the metrics evolve - Lead adoption of the framework so that both marketing and executive teams use it as their shared source of truth - Partner with finance, sales strategy, and sales development to connect marketing measurement to the broader revenue picture - Find and share the insights nobody asked for, turning analysis into recommendations that change what we do - Write analytical SQL on large datasets to answer questions about funnel performance and attribution - Track framework gaps and data quality issues, and work with data engineering to resolve them - Present findings to marketing leadership and executives in clear, decision-ready formats Minimum qualifications - Have deep experience with marketing analytics, including lead funnels, attribution to enterprise pipeline, and product usage measurement - Have designed metrics from scratch and know what makes a metric trusted and useful - Can write analytical SQL on large datasets with confidence - Have built data models in tools like dbt and dashboards that many people use daily - Are comfortable setting direction without waiting for a plan to be handed to you - Can turn vague questions into clear, measurable definitions - Work well across functions and know how to get teams aligned on definitions before problems surface - Enjoy teaching others how metrics work and helping non-technical audiences build data fluency - Finish what you start, from first definition to adopted dashboard - Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - Experience building marketing measurement for both enterprise sales-led and product-led growth motions - Familiarity with marketing attribution models and their practical tradeoffs - Experience presenting metrics and insights directly to executives and shaping how leadership reviews performance - A background in data science, analytics engineering, or marketing operations - Experience working with CRM and marketing automation data, such as Salesforce and related tooling - Experience standing up a measurement practice where one didn't exist before - Familiarity with how finance and sales strategy teams think about pipeline and forecasting The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's GTM Programs team turns our most strategic go-to-market priorities into structured, measurable programs. The team is a core strategic business partner to the GTM organization, driving growth and operational excellence and accelerating the safe adoption of frontier AI across the world's leading enterprises. As Head of GTM Programs, EMEA, you will bring that function to Europe, the Middle East and Africa (EMEA), partnering directly with executive sales leaders, frontline managers, and sellers to understand their needs, then design, launch, and measure the programs that meet them. This is a high-visibility leadership role that combines quantitative rigor with hands-on program execution. You'll work across a diverse group of cross-functional partners, including sales, marketing, enablement, and strategy, to build a connected system of programs that drives measurable pipeline and revenue impact across the region, then adapt those programs as the business evolves. EMEA spans many countries, languages, and buying cultures, so you will also decide what runs once for the region, what is localized, and what is left to country teams. GTM Programs is a new function, and this is an opportunity to build it, not just join it. Every organization is deciding its AI strategy right now, and the programs this team builds shape how our field meets that moment. You'll help define what a well-run program looks like at Anthropic, with high autonomy. Key Responsibilities - Serve as a trusted advisor to EMEA Sales Leadership: bring data-backed insight and recommendations into their operating reviews, including program and resourcing decisions, and shape the strategic initiatives that come out of them. - Analyze the health of the EMEA pipeline across volume, conversion, velocity, and efficiency, identify breakdowns in the funnel such as lead quality, routing, or segmentation, and partner with Revenue Operations to implement solutions. - Shape a consolidated demand generation plan and calendar across EMEA's inbound, outbound, and partner channels, aligning to regional and global sales priorities to meet pipeline generation targets. - Own GTM programs end to end in close partnership with the field: translate leadership priorities into structured programs with clear objectives, owners, and milestones, and carry them from concept through launch, operations, and iteration, with measured uplift as the outcome you're accountable for. - Partner closely with Marketing, Enablement, and Sales Strategy to standardize playbooks and build a unified, end-to-end approach to pipeline generation and progression rather than disconnected initiatives. - Decide what to run once for EMEA, what to localize by sub-region or language, and what to leave to country teams, including outreach and data-protection rules that differ by market. - Introduce AI-driven insights into lead prioritization, forecasting, and opportunity management, partnering with analytics teams to surface predictive signals such as conversion likelihood and deal risk. - Define the measurement plan before a program launches: baseline, targets, uplift metrics, and how results will be attributed to the program. - Instrument every program into the GTM operating cadence, so leadership can inspect results in the same reviews where they run the business. - Package what's working (industry patterns, use cases, activation motions) into repeatable plays that sellers can run without you in the room, and lead program adoption and communication as the sales organization scales. - Build and lead the EMEA GTM Programs team, developing people across countries and time zones. Minimum Qualifications - 10+ year experience in sales programs, sales operations, business development, sales readiness, or marketing within a technology or SaaS environment. - Experience designing and running sales or GTM programs end to end, with the ability to speak to the uplift they produced, not only the activities they ran. - Experience designing and leading demand generation campaigns or programs in direct partnership with field sales organizations, ideally across multiple countries. - Demonstrated analytical and quantitative approach to measuring, reporting on, and optimizing program performance, including familiarity with CRM and pipeline reporting tools (e.g., Salesforce). - Experience leading and developing a team, including across countries and time zones. - Strong written and verbal communication skills, with experience presenting to and influencing senior leadership. - Working knowledge of how data-protection and marketing-consent rules (GDPR, ePrivacy, and national variations) shape outbound and demand generation in Europe. - Track record of driving cross-functional initiatives to completion across teams without formal authority over them. - Comfort working in fast-moving, ambiguous environments and building where no process exists yet. - Excitement about Anthropic's mission to develop AI that is safe and beneficial. Preferred Qualifications - Experience combining sales programs with marketing or sales readiness/enablement functions. - Experience designing measurement or attribution frameworks for GTM motions, such as pipeline sourced and influenced models, activation funnels, or experiment designs like control groups and staged rollouts. - Experience working inside or alongside a sales organization's operating cadence (forecast calls, pipeline reviews, account reviews) and making program results legible within it. - Track record of building and scaling operational frameworks in a fast-paced, matrixed organization. - Experience introducing AI or advanced analytics into sales or revenue workflows, such as lead scoring, forecasting, or predictive deal signals. - Hands-on experience creating AI workflows with Claude or similar tools, and comfort running and improving them at operational volume. - Experience leading programs through periods of GTM or organizational change. - Experience in a high-growth AI, ML, or other emerging technology company, and an understanding of how enterprises evaluate, adopt, and scale AI. - Experience as an early hire in a new function or team, helping define how it operates. - Experience with partner and marketplace-led motions. - Fluency in one or more European languages. 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: £195,000 - £225,000 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.

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 at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to financial institutions across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with banks, insurance companies, and financial research institutions. You'll leverage your consultative sales expertise in the financial services sector to propel revenue growth while becoming a trusted partner to financial stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in banking, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with financial decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue for Anthropic within the financial services sector. Navigate complex financial institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to financial services procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze financial market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within financial departments, research centers, and administrative offices. Collaborate cross-functionally to differentiate our offerings for financial applications - Navigate complex financial stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus - Inform product roadmaps and features by gathering feedback from financial users and conveying financial market needs. Provide insights that strengthen our value proposition for financial services - Continuously refine the financial services sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: - 12+ years of B2B sales experience in financial services technology in SaaS, API solutions, or emerging technologies - A track record of managing complex sales cycles within financial institutions and securing strategic deals by understanding both technical requirements and financial use cases - Demonstrated ability to navigate financial bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments - Extensive experience negotiating complex agreements within financial services procurement frameworks and policies - Proven experience exceeding revenue targets in the financial services sector by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various financial audiences, from analysts and researchers to senior executives - Deep understanding of financial services buying cycles, decision-making processes, and key pain points - A strategic, analytical approach to assessing the financial services market combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems and their applications in financial services. You feel strongly about ensuring frontier AI systems are developed safely and ethically for financial use À propos du poste En tant qu'Enterprise Account Executive chez Anthropic, vous rejoindrez l'équipe fondatrice chargée de faire découvrir notre API de productivité IA de pointe et nos solutions SaaS aux institutions financières des marchés EMEA. Vous favoriserez l'adoption d'une IA de pointe et sûre en concluant des contrats stratégiques avec des banques, des compagnies d'assurance et des instituts de recherche financière. Vous mettrez à profit votre expertise de la vente consultative dans les services financiers pour accélérer la croissance du chiffre d'affaires. Vous nouerez aussi des relations de confiance avec les parties prenantes du secteur financier et les aiderez à intégrer et à déployer l'IA, tout en leur faisant découvrir l'étendue de ses capacités dans la banque, la recherche et l'administration. En collaboration avec les équipes GTM, Produit et Marketing, vous affinerez en continu notre proposition de valeur, notre méthodologie de vente et notre positionnement, afin qu'ils trouvent un écho auprès des instances décisionnelles du secteur financier. Le profil idéal a à cœur de développer de nouveaux segments de marché, de repérer les opportunités à fort potentiel et de mettre en œuvre les stratégies qui permettent de les saisir. En favorisant le déploiement des produits émergents d'Anthropic, vous aiderez les entreprises à acquérir de nouvelles capacités tout en contribuant au développement éthique de l'IA. Responsabilités : - Remporter de nouveaux contrats et générer du chiffre d'affaires pour Anthropic dans le secteur des services financiers. Vous orienter au sein d'institutions financières complexes pour atteindre les personnes décisionnaires clés, leur présenter nos services et les aider à réussir avec Anthropic. Vous piloterez l'intégralité du cycle de vente, de la première prise de contact à la signature. - Concevoir et mettre en œuvre des stratégies commerciales innovantes, adaptées aux cycles d'achat et aux processus budgétaires des services financiers, afin d'atteindre et de dépasser les objectifs de chiffre d'affaires. Analyser le paysage, les tendances et les dynamiques des marchés financiers pour traduire les plans stratégiques en actions et campagnes commerciales ciblées. - Piloter l'expansion sur le marché en identifiant de nouveaux cas d'usage au sein des directions financières, des centres de recherche et des services administratifs. Collaborer de manière transverse pour différencier nos offres destinées aux applications financières. - Naviguer dans des écosystèmes complexes de parties prenantes (direction générale, services administratifs, DSI et services achats) afin de construire un consensus. - Contribuer à la feuille de route et aux fonctionnalités produit en recueillant les retours des équipes utilisatrices du secteur financier et en relayant les besoins du marché. Apporter des éclairages qui renforcent notre proposition de valeur pour les services financiers. - Affiner en continu la méthodologie de vente dédiée aux services financiers en intégrant les enseignements dans des playbooks, des modèles et des bonnes pratiques. Identifier des améliorations de processus qui optimisent la productivité et la cohérence commerciales. Ce poste pourrait vous correspondre si vous avez : - Au moins 12 ans d'expérience en vente B2B dans les technologies pour les services financiers (SaaS, solutions API ou technologies émergentes) - Une solide expérience de la gestion de cycles de vente complexes au sein d'institutions financières et de la conclusion de contrats stratégiques, fondée sur une compréhension fine des exigences techniques comme des cas d'usage financiers - Une capacité avérée à naviguer dans les structures bureaucratiques et les processus d'achat du secteur financier, en construisant un consensus entre des parties prenantes variées, dont la direction, les services administratifs et les DSI - Une vaste expérience de la négociation d'accords complexes dans le cadre des politiques et procédures d'achat des services financiers - Une expérience confirmée du dépassement des objectifs de chiffre d'affaires dans les services financiers, grâce à une gestion efficace d'un pipeline et d'un processus de vente en constante évolution - D'excellentes compétences en communication et l'aisance nécessaire pour présenter devant des publics financiers variés, des analystes et des équipes de recherche jusqu'aux membres de la direction - Une connaissance approfondie des cycles d'achat, des processus de décision et des principales problématiques du secteur des services financiers - Une approche stratégique et analytique du marché des services financiers, alliée à une exécution tactique et créative pour saisir les opportunités - Un intérêt marqué pour les systèmes d'IA avancés et leurs applications dans les services financiers, voire une expérience dans ce domaine. Le développement sûr et éthique des systèmes d'IA de pointe pour les usages financiers vous tient particulièrement à cœur. 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.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Hardware is becoming critical to how AI gets built, and the legal questions are as new as the technology. We're hiring a Commercial Counsel, Hardware to help Anthropic's product teams move fast, build safely, and get the legal calls right. In this role, you'll negotiate a high volume of fast-moving deals for hardware, components, software, and emerging technology procurement needs. This role will also lead multifaceted technology, data, and partnership deals, many of them the first of their kind at Anthropic. You'll be the legal and risk partner that technical and business leaders turn to when they need a fast, practical read on a deal or purchase. You'll clear low risk transactions quickly, spot the ones that deserve a closer look, and build scalable solutions as new complexities come up, all while working alongside Procurement and Finance and Legal colleagues in areas like privacy, IP, and trade. Along the way, you'll also support partnerships with major tech companies, universities, and media organizations, which gives you a view across much of the business. Key responsibilities - Negotiate and close a high volume of agreements for hardware and components, including review of embedded firmware and companion software licenses - Structure and negotiate complex technology, data, and partnership agreements - Track legal and regulatory changes that affect hardware products and components, such as product safety rules and restrictions on foreign-made components, and explain what they mean for our plans - Identify trade, export control, sanctions, and supply chain concerns in cross-border sourcing, and work with our national security and compliance teams to resolve them - Build and maintain self-serve guidance, templates, and AI-assisted review tools so routine purchases don't wait on Legal - Manage outside counsel for specialist questions and overflow volume - Cover other technology or hardware transactions on the Legal team as needed Minimum qualifications - JD and active membership in at least one U.S. state bar (California preferred) - Hands-on experience buying hardware and firmware, components, and software in high volume, fast-paced environments - Deep experience leading complex deals, such as technology or data licensing, joint development, or supply partnerships - Working knowledge of international supply chains and how sourcing choices (and their associated risks) show up in contracts (lead times, single-source risk, warranties, country of origin, higher risk jurisdictions) - Working knowledge of trade and regulatory compliance for hardware, including export controls, sanctions, tariffs and customs - Clear, plain communication with scientists, engineers, and operators, so legal risk turns into a decision they can act on - A low-ego, "doer" attitude and real interest in taking on work outside your core practice area - Intense curiosity about AI and emerging hardware, and a commitment to responsible AI development Preferred qualifications - At least 8 years of legal experience in hardware or a closely related technical space, with the judgment to run risk assessments and deals on your own from day one - In-house time at a hardware-intensive technology company (such as electronics, industrial automation, or complex devices) while it was scaling quickly - Experience supporting product or engineering teams as a dedicated counsel - Experience with facilities or on-site vendor services, including the insurance and safety questions - An engineering, product, or other technical background - Experience using AI tools to speed up your own legal work Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $335,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is working on frontier AI systems that handle sensitive information at enormous scale. How we protect that data, and how we build privacy into our systems rather than bolting it on afterward, is central to our mission of building AI that is safe and beneficial. We’re looking for an experienced Incident Response Manager to own and evolve incident management within the privacy team. This is a senior-level specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from privacy incidents. These incidents involve personal data subject to GDPR, CCPA, HIPAA and similar laws, and to the contractual commitments Anthropic makes to its customers. You’ll be the driving force behind maturing and scaling our incident response lifecycle, from detection and triage through containment, remediation, and post-incident review. Critically, some of the highest-impact work in this role happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working cross-functionally across engineering, security, infrastructure, and product teams to ensure that broad fixes and systemic improvements are actually implemented. You will partner closely with Privacy Legal on notifiability and communications, and with the Privacy Program team on executive and board reporting; this role owns the engineering-side programme, its metrics and its follow-through. You won’t just manage incidents: you’ll make sure we get meaningfully better after each one. Key responsibilities - Own the end-to-end privacy incident management program: detection workflows, response processes, escalation paths, communication standards, and remediation tracking. - Serve as incident commander for privacy incidents, driving clear coordination across executive, engineering, security, legal, and other appropriate stakeholders. - Establish and run incident commander rotations within privacy, ensuring clear ownership and effective coordination during incidents of varying severity. - Drive post-incident accountability by defining how action items are captured, assigned, tracked, and completed across teams, ensuring follow-through on both tactical fixes and strategic improvements. - Gather, analyze, and report on incident trends and patterns to surface systemic risks, recurring root causes, and areas where the organization is most vulnerable. - Translate trend analysis into actionable cross-functional initiatives: partner with engineering, infrastructure, security, and product teams to prioritize and implement broad fixes and preventive improvements that address root causes rather than symptoms. - Lead incident review forums (post-mortems, retrospectives) and ensure learnings are captured, socialized, and acted upon across the organization. - Partner with Privacy Legal on breach and notifiability assessments against regulatory timelines, coordinate customer and regulator communications when required, and keep privileged and non-privileged records appropriately separated. - Develop and maintain privacy incident response documentation, playbooks, runbooks, and training materials; keep them current as our products, data flows and obligations evolve. - Partner with detection engineering to improve alert fidelity, reduce noise, and shorten time-to-detection for privacy events. - Define, develop, and track incident management KPIs and report regularly to leadership. - Support broad cross-functional training and initiatives to uplevel privacy awareness across the company (e.g. Tabletop exercises, training, talks). Minimum qualifications - Have led or built incident response programs at a technology company, ideally in a high-growth or security-intensive environment. - Have a demonstrated track record of turning incident data into organizational improvements: not just writing post-mortems, but driving the cross-functional work to implement systemic fixes. - Are comfortable participating in on-call responsibilities and leading incident response during high-severity privacy events, including off-hours. - Have experience building and scaling operational processes from the ground up in environments where structure didn’t previously exist. - Excel at driving accountability and follow-through across multiple teams without direct authority—you know how to influence, track, and close the loop. - Have strong analytical skills and experience with incident trend analysis, metrics reporting, and data-driven prioritization. - Are highly organized with a knack for bringing structure to ambiguous, fast-moving situations. - Have excellent communication skills, especially under pressure and when coordinating across technical and non-technical stakeholders, including executive leadership. - Thrive in fast-paced environments where priorities shift and you’re often working with incomplete information. Preferred qualifications - Have 7+ years of experience in technical program management, incident management, or security/privacy operations, with significant time spent in an incident response context. - Are familiar with privacy regulation and breach-notification obligations (GDPR, CCPA, HIPAA or similar) and comfortable working with legal counsel under privilege, or have a legal background. 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: $290,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Perplexity is seeking a Director of Events to own our external events worldwide: the ones we host, the stages we speak on, and the ones we sponsor. You will set the strategy, run production, manage the budget, and build the team. If you have produced a flagship and a dinner in the same week, know what a good sponsorship deal looks like, and want to build an events function from the ground up, this role is for you. Responsibilities - Own events. Hosted, speaking, sponsored. Strategy, budget, production, results. - Set the calendar. Decide which events we run, which we speak at, and which we skip. - Produce hosted events. Launches, dinners, summits, roadshows. Concept, programming, venue, vendors, run of show. - Run the speaking program. Pick the stages. Prepare the speakers. - Manage sponsorships. Negotiate terms, design our footprint, and account for the spend. - Run field events with Sales. Get the right customers in the room. Make sure someone follows up. - Be Perplexity. Our events should look and feel like our product. Work with Brand and Creative on every one. - Lead the team. Equal parts IC and manager. - Build the system. Playbooks, event tiers, intake, vendors, agencies, budgets. - Measure. Attendance, coverage, pipeline, signups. Know which events worked and stop doing the ones that didn't. - Be on site. For the events that matter, you are in the room. Qualifications - 12+ years producing events, including large hosted events, sponsorships, and field programs, ideally in-house at a technology company. - Has built or led an events team. - Has owned large budgets, agency relationships, and vendor contracts. - Has negotiated sponsorships and knows a bad deal when they see one. - Has run an executive speaking program: selecting stages, preparing speakers, managing the day. - Knows production: run of show, staging, AV, registration, staffing, security, permits. - Drives measurement. Has built event attribution and tracked brand sentiment, and reports what each event returned. - Can partner with Sales, Product, Comms, Brand, Finance, Legal, and executives. - Power user of AI tools. Most of your work already runs through them, and you can show us how. - Based in San Francisco or New York. Willing to travel internationally.

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 based in Seoul, you’ll drive adoption of safe, frontier AI technology across Korea’s manufacturing industry — semiconductors and electronics, automotive and mobility, batteries, shipbuilding and heavy industry, and steel and chemicals. You’ll own the full sales cycle from prospecting to closing, working with senior leaders to help them modernize R&D and engineering, production and quality, supply chain, and corporate functions with Anthropic’s AI solutions. Key responsibilities - Own and exceed revenue targets by winning new accounts and expanding relationships across Korea’s manufacturing companies - Build and execute territory plans, identifying opportunities across semiconductors and electronics, automotive and mobility, batteries and energy, shipbuilding and heavy industry, and materials and chemicals - Lead consultative sales processes with senior stakeholders — including heads of digital/AI transformation (DX/AX), R&D and engineering leaders, manufacturing and quality executives, CIOs/CISOs, and business-line executives - Navigate Korea’s manufacturing technology environment, including industrial technology and National Core Technology protection requirements, trade secret and IP safeguards, export control considerations, and strict information security review - Work across group structures, including holding companies, affiliates, and group IT service companies that shape technology procurement and deployment - Work with internal teams (Product, Engineering, Applied AI, Partnerships, Legal) to tailor solutions that meet manufacturing-sector security and IP protection standards - Stay informed on trends shaping Korean manufacturing, including AI in engineering and design, smart factory and autonomous manufacturing initiatives, and supply chain resilience Preferred qualifications - 8+ years of enterprise sales experience in Korea, with significant exposure to manufacturing - A genuine understanding of how Korean manufacturers make technology decisions, including the role of group-level governance, IT affiliates, information security functions, and R&D leadership - Direct experience navigating security and IP protection reviews in manufacturing environments, including requirements tied to protected industrial technology and restricted data environments - A track record of managing complex, multi-stakeholder sales cycles typical of large manufacturers, including group-wide rollouts and rigorous security review - Proven experience exceeding revenue targets within manufacturing accounts - Excellent communication skills in both Korean and English - A passion for AI built and deployed safely What We Offer - Competitive base salary and commission - Equity participation - Comprehensive benefits - Hybrid work model - Access to cutting-edge AI technology and world-class research team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. ABOUT THE ROLE We are seeking an experienced leader to oversee Anthropic's global equity administration and payroll operations. In this role, you will lead the teams responsible for our equity compensation administration programs and global payroll operations, ensuring both functions scale accurately, compliantly, and efficiently as we grow — including through listing readiness and public-company operations. You will manage senior functional leaders across equity and payroll, and partner closely with Legal, Tax, HR, and the broader Accounting organization to support our mission to make AI beneficial for humanity. RESPONSIBILITIES - Lead and develop the equity administration and payroll teams, setting strategy, priorities, and operating cadence across both functions - Own the control environment for equity and payroll: design and document to public-company standards. - Oversee scaling to public-company standards across both functions. - Drive systems strategy across the compensation platforms, from equity to payroll, and surrounding integrations, ensuring a coherent architecture as we scale - Serve as the primary escalation point and executive interface for equity and payroll matters with Legal, Tax, HR, and external providers - Oversee international expansion of both functions, including new-country payroll setup, cross-border equity compliance, and mobility programs - Partner with Accounting on stock-based compensation and payroll accounting, ensuring clean handoffs for close, reporting, and audit - Drive automation and continuous improvement of manual processes across both teams through technology solutions - Build headcount and resourcing plans that scale with the business YOU MAY BE A GOOD FIT IF YOU - Have 15+ years across equity compensation and/or payroll operations, with significant experience leading senior functional leaders - Have operated equity and payroll functions to a public company standard. - Have deep familiarity with equity management platforms (such as Shareworks or E*TRADE) and Workday payroll, with experience owning cross-system architecture - Have built and scaled global operations across multiple jurisdictions - Are a strong people leader who develops senior functional experts - Thrive in ambiguous, fast-paced environments and default to building scalable processes over adding headcount STRONG CANDIDATES MAY ALSO - Hold CEP (Certified Equity Professional) or CPP (Certified Payroll Professional) certification - Have experience with international mobility programs, worker secondments, and cross-border tax considerations - Have led complex system implementations or migrations at scale 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: $570,000 - $610,000 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.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Head of Digital Natives & Startups, ANZ to build and lead Anthropic's go-to-market motion for digital native businesses and startups across Australia and New Zealand. You will grow a team that wins and expands the region's fastest-moving, AI-forward companies, driving consumption of Claude directly and through our cloud partners. You will set the segment strategy, hire and develop the team, and work closely with Product, Partnerships and Marketing to turn ANZ builders into long-term customers. This is a chance to shape how one of the world's most dynamic startup ecosystems adopts frontier AI, while representing ANZ's priorities to our global leadership. Key responsibilities - Define and execute the ANZ go-to-market strategy for Digital Natives and Startups, covering both new customer acquisition and growth within existing accounts - Build, hire and lead a high-performing sales team across Australia and New Zealand, with clear targets, regular coaching and defined career paths - Own pipeline, forecast and consumption targets for the segment, running a consumption-based sales motion - Build a repeatable motion across the customer lifecycle, from early-stage founders to scaled, high-growth digital natives - Develop strong relationships across the ANZ startup ecosystem, including founders, venture investors, accelerators and developer communities - Partner with cloud providers and our Partnerships team to co-sell and extend our reach in the segment - Collaborate with Product, Marketing, Solutions and Customer Success to adapt our offering and messaging for ANZ, and bring customer feedback back to the business - Represent ANZ priorities to regional and global leadership, and keep local execution aligned with global strategy - Act as an executive sponsor for key customers and communicate Anthropic's trust and safety principles with credibility Minimum qualifications - 15+ years of overall experience selling technology products to enterprise organisations across ANZ market - 5+ years of people management experience leading sales teams in the digital native and/or startup segment - Proven success in consumption-based technology sales, such as cloud, API or usage-based SaaS - Experience building a business or team from the ground up in Australia and/or New Zealand - Track record across both customer acquisition and account growth - Strong network and credibility in the ANZ startup and digital native ecosystem - Ability to explain technical products clearly to founders, engineers and executives Preferred qualifications - Background at Google, AWS or a similar cloud or SaaS company - Experience selling AI, machine learning or developer-focused products - Experience co-selling with cloud partners and working with channel - Experience hiring and scaling a team through rapid growth - Familiarity with the ANZ regulatory and data-privacy landscape 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.

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? The Cohere Dashboard is the control center for Cohere users and the starting point for many on their journey with Cohere. Here, they can access our models, manage API keys, manage teams, audit billing and explore our docs. In this role, you'll collaborate with internal partners to craft a delightful, intuitive, and unified experience across everything the Cohere Dashboard offers. Join our team of builders who are shaping the future of large language models! As a Full-Stack Software Engineer on the Cohere Dashboard team, you will: - Work with a small talented and enthusiastic team of software engineers - Contribute to delightful experiences for our user-facing products, meticulously crafting code for browsers and servers - Collaborate and grow with your engineering colleagues of all levels through direct pairing sessions, architectural designs, documentation and talks - Identify and remove roadblocks to enable your team to increase its engineering velocity - Build resilient systems that are mission-critical - Keep up with the cutting edge and adopt new technologies to improve performance and reliability You may be a good fit if: - You have experience shipping products with a large number of stakeholders - You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python - You have hands-on experience with complex SQL queries - You have excellent communication skills and believe that documentation is a great way to get feedback and discuss technical implementations and designs - You’re excited to add new technologies to your toolbox and use them where it makes sense - You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences - You’re excited about AI and have the motivation to scale a company 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.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the Role We’re looking for a leader to own our legal operations function and continue building it for our next phase of growth. Working with a dedicated automations engineering team, you will own the systems that ensure the Legal Team scales with the company: contract management, vendor relationships (including outside counsel billing and guidelines) and the overall legal tech stack. The goal is simple: help define what a legal organization looks like in the AI native era. In this role, you will: - Assist in the design and improvement of the operating model for Legal. Identify work that should be handled by the team and areas where we can continue automating. - Manage our legal technology stack, including contract lifecycle management (Ironclad), matter management, and creating an e-billing systems - Manage relationships with outside counsel and legal service providers, including budget and performance tracking - Work with our automation teams to use Eleven Agents and other tools to change the way work is done across the team - Define metrics and build dashboards that give us a clear view of the team's priorities, workload and performance - Partner with Finance, IT, FDE and business teams to keep legal processes aligned with how the company operates Who you are: - You are a strategist and an operator. You are incredibly intellectually curious and enjoy breaking down and rebuilding processes - Highly organized, detail-oriented, and proactive - you’re comfortable juggling multiple priorities while maintaining accuracy - Genuinely interested in the future of AI and emerging technologies. - A strong communicator who enjoys collaborating with cross-functional teams - Comfortable working independently in a distributed, high-trust environment - You have previous experience at a high-growth technology or AI company What you bring: - 7+ years of experience in legal operations with some experience leading the function - Deep expertise in legal technology, including CLM platforms (Ironclad a major plus), e-billing systems, and matter management tools - Experience supporting global teams - Strong analytical skills with experience gathering metrics to storytell and drive key business decisions - Excellent organizational skills and ability to manage competing deadlines. Location This role is remote and can be executed anywhere in the United States. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering. About the Role We are hiring a Lifecycle Lead to build the company-wide owned-channel capability that helps teams reach businesses with relevant, timely, and trustworthy experiences. This senior, hands-on leader will set the small and medium business lifecycle strategy, partner with Engineering to build the orchestration and deployment platform, and establish the operating model that allows teams across the company to launch and improve evergreen programs safely at scale. You will sit at the intersection of platform, product, and campaign strategy. You will partner with Engineering, Product, Data Science, and Analytics on the underlying systems, and with Product Marketing Managers and other client teams to design journeys that help new, active, and returning businesses reach value and build durable habits. This role is based in San Francisco, Seattle, or New York City. 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: - Partner with B2B product to set the company-wide vision, roadmap, and operating model for lifecycle and owned-channel engagement. - Partner with Engineering, Product, Data Science, and Analytics to shape the tooling and infrastructure for identity, audiences, eligibility, consent, triggers, orchestration, decisioning, frequency, experimentation, localization, quality assurance, and observability. - Define scalable deployment workflows—including self-service and centrally supported paths, intake, templates, approvals, governance, service levels, and incident response—so teams across the company can launch safely and efficiently. - Partner with Product Marketing Managers and other client teams to translate audience, product, and business goals into evergreen journey strategies across onboarding, activation, continuation, retention, resurrection, and monetization. - Lead the design, launch, iteration, and optimization of templates and journeys across email, push, and in-product messaging, including the deep-linked landing and post-click product experiences that complete the loop. - Partner with Growth DS to build a measurement system that connects reach, eligibility, delivery, engagement, landing behavior, task completion, retained activity, and incremental value through sound experiments and holdouts. - Optimize the small and medium business lifecycle portfolio—not just individual sends—by improving inventory, relevance, personalization, prioritization, and per-user frequency. - Inform our owned channel / upsell strategy–establish a high bar for deliverability, user preferences, localization, and operational quality, and trust while influencing senior stakeholders across the company. You might thrive in this role if you have: - 10+ years of experience in lifecycle, CRM, retention, growth, product marketing, or marketing technology, ideally in a global B2B business serving self serve small businesses, enterprises, and developers. - A track record of building and scaling lifecycle tooling or platforms with Engineering for multiple teams, products, audiences, or markets. - Strong technical and product fluency across event and identity models, data pipelines, APIs, segmentation, triggering, decisioning, experimentation, and deployment systems; coding experience is not required. - Deep campaign and journey craft, with experience designing evergreen programs that move users from message to product value and durable behavior. - Strong experimentation and measurement judgment, including incrementality, holdouts, cohort quality, retention, and lifetime value—not just delivery or click metrics. - Experience creating operating models, governance, templates, and quality standards that increase organizational velocity without creating channel chaos. - Executive-level cross-functional influence and clear communication across Engineering, Product, Data Science, Analytics, PMM, Creative, Legal, Privacy, and regional teams. - A hands-on, systems-oriented leadership style: you can set a multi-year direction, write the brief, inspect the journey, diagnose failures, and make pragmatic tradeoffs in a fast-moving environment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced partnerships leader to build and scale our Commercial Partners Programme in Southern Latam — bringing together resellers, systems integrators, and consulting firms who help deploy ElevenLabs' technology to their clients across the Southern Latam market. You'll own the reseller, integrator, and consulting partner strategy end-to-end — from building relationships with leading SIs, consultancies, and resellers, to onboarding, enabling, and activating them to sell and deliver ElevenLabs products. This is a 0→1 build: you'll design and pilot partner incentive and enablement models, generate qualified pipeline through partner-led opportunities, and scale the programme against regional growth targets, while owning day-to-day execution and partner performance. What Success Looks Like (First 6–9 Months) - Partner-Sourced & Influenced Revenue: closed-won ARR through GSIs, RSIs, cloud providers, VARs, and technology partners reaching at least 20% of regional revenue - Partner-Sourced Pipeline: qualified pipeline created through partners, with a focus on enterprise opportunities in target industries - Revenue-Producing Partners: number of partners actively generating pipeline, opportunities, or revenue each quarter - Time-to-First Revenue: speed from partner onboarding to first sourced opportunity and first closed-won deal - Strategic Account Penetration: new enterprise accounts and executive relationships unlocked through partners that ElevenLabs would've struggled to access directly Requirements - 12+ years building and scaling an in-country SaaS/Cloud solution, with a strong network you can leverage from day one - 4+ years owning RSI, GSI, and hyperscaler partnerships, with proven experience driving joint account planning, co-sell, and revenue — not just relationship management - A builder mindset — experience creating partner motions from 0→1, rather than inheriting a mature programme - Comfortable working with technical, API-driven products, and able to explain complex concepts to partners and customers - Based in Buenos Aires Bonus: Mix of 3-4 years in sales + 3-4 years in partnerships/alliances; mix of 3-4 years at a large company + 3-4 years at a smaller/less established company LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. What you’ll do - Build safety systems: Design, develop, and scale automated moderation systems, abuse detection capabilities, and guardrails for AI agents across ElevenLabs’ products. - Respond to emerging threats: Partner closely with the Investigations team to identify emerging abuse patterns, understand evolving threats, and continuously improve existing safety systems, detection mechanisms, and guardrails to address new risks. - Own production infrastructure: Build and maintain a growing ecosystem of internal safety services, taking ownership of their architecture, deployment, reliability, monitoring, and ongoing operation. - Bring ML models into production: Partner closely with ML engineers to deploy and integrate fine-tuned and proprietary ML models into production safety systems, ensuring they operate reliably and efficiently at scale. - Build end-to-end solutions: Develop backend services, APIs, internal tools, and user-facing interfaces that enable effective moderation, safety operations, and policy enforcement. - Collaborate across teams: Work closely with Product, Legal, and Safety Policy teams to translate business, regulatory, and policy requirements into scalable engineering solutions. - Product: Understand and navigate the tradeoffs between product growth, user experience, and platform safety. - Legal: Translate legal and regulatory requirements into practical, scalable safety systems. - Safety Policy: Collaborate on how safety policies are implemented technically, while helping inform policy decisions through an understanding of engineering capabilities and constraints. - Shape our technical direction: Contribute to architectural decisions and help define how our safety infrastructure evolves as our products, users, and safety challenges grow. Requirements - 5+ years of software engineering experience building and operating production systems. - Strong backend engineering experience, including designing APIs, working with databases, and building scalable services. - Proficiency in Python and experience with modern backend frameworks. - Experience building and maintaining distributed systems and cloud-based applications. - Comfortable owning systems end to end, from technical design and implementation through deployment, monitoring, and ongoing maintenance. - Experience working across different parts of the stack, with the ability to build internal tools or frontend interfaces when needed. - Strong problem-solving skills and an ability to navigate ambiguous requirements and make pragmatic engineering decisions. - Ability to collaborate effectively with engineers and non-technical stakeholders across different functions. Bonus - Experience building Trust & Safety, content moderation, fraud detection, or abuse prevention systems. - Experience building guardrails or safety infrastructure for AI agents and LLM-based applications. - Experience deploying and integrating ML models into production applications. - Familiarity with Kubernetes, Docker, CI/CD pipelines, and cloud infrastructure (AWS/GCP). - Experience with monitoring and observability tools such as Prometheus and Grafana. - Experience with React or other modern frontend frameworks. - Experience with real-time data processing, event-driven architectures, or technologies such as Kafka and Redis. Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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 Claude is one of the fastest-growing AI products in the world, with tens of millions of users worldwide relying on Claude across web, mobile, and desktop. As a Product Manager on the App Foundations team, you’ll be responsible for key parts of the product experience spanning the core Claude user-experience, and primitives such as memory, voice mode, and artifacts. You'll be improving and scaling a product that has enormous reach. This requires strong systems thinking, judgement about what to build next, deep care for craft and quality, and the ability to move quickly in a highly cross-functional environment, while maintaining our commitment to safety and beneficial AI. Key Responsibilities - Own the end-to-end strategy, roadmap and execution for your area - Design capabilities as systems that flexibly extend to all Claude products - Translate frontier model capabilities into simple, intuitive experiences that a broad consumer audience can understand and love - Analyze product metrics and user feedback to identify opportunities and optimize performance - Use a mix of quantitative data, experimentation, and user research to deeply understand user behavior and make prioritization calls - Set a high bar for quality and craft — sweat the details of the everyday interactions that millions of people experience - Partner closely with design, engineering, data science, research, and marketing to ship high-impact product improvements at a fast cadence - Balance rapid iteration with our commitment to AI safety and ethics Minimum Qualifications - Experience working on products with millions of users - Exceptional product taste and instincts for what makes experiences delightful - Highly analytical and fluent in experimentation and using data to drive decisions - Excellent communication and stakeholder management skills - Ability to thrive in a fast-paced, ambiguous environment - Passion for AI technology and its potential impact on society - Technical background or ability to work effectively with engineering teams - Ability to translate nascent model capabilities into compelling product experiences Preferred Qualifications - 8+ years of product management experience, across both consumer and enterprise - Founder experience is a plus - AI product experience is a plus - Working on products that were both B2C and B2B is a plus The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $385,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We are looking for an Anti-Corruption & Trade Compliance Legal Counsel to play a central role in the building, development and operation of Mistral AI's corporate compliance framework, with a particular focus on anti-corruption, economic sanctions and export controls . Reporting to the Lead Anti-Corruption & Trade Compliance, the position offers genuine build-from-scratch ownership of core policies, processes and tools. It combines programme development, day-to-day compliance operations and cross-functional advisory work. The role involves close collaboration with Legal, Finance, Procurement, Sales, Security, and Product and Engineering to translate legal requirements into clear, proportionate and auditable processes. Key responsibilities Anti-corruption/Sapin II - Coordinate Sapin II Action Plan deployment of relevant policies, controls, training and third-party procedure. - Lead the day-to-day operation and continuous improvement of risk-based due diligence from integrity screening through enhanced diligence and periodic review; - Support the implementation and periodic review of the code of conduct, related policies, whistleblowing framework and training programme, - Administer the gifts, hospitality and conflicts-of-interest processes, including reviewing requests and declarations, maintaining the relevant records and registers, and providing practical guidance to business teams. - Work with Finance and Internal Control to define and monitor risk-based anti-corruption accounting controls. - Contribute to the monitoring and periodic assessment of the anti-corruption programme, including programme records, metrics and reporting; monitor relevant regulatory and enforcement developments; and support anti-corruption incidents, internal reviews and investigations. Economic sanctions and export controls - Manage screening for new and existing counterparties as part of third-party due diligence and transaction-review processes. - Support the Lead Anti-Corruption and Trade Compliance in export control classification of AI models, software, technology, compute infrastructure and hardware. - Work with Procurement, Operations, Product and Engineering to embed screening and access-control requirements into onboarding, contracting and deployment processes, and maintain clear, auditable records and internal guidance. - Develop and maintain standard sanctions and export-control contractual positions and clauses, and support their review and negotiation in customer, supplier, partner and reseller agreements. - Monitor relevant regulatory and enforcement developments; coordinate external counsel and advisers; contribute to programme reporting for Legal leadership. Qualifications and skills - Legal Master degree (Master’s in Business Law, Corporate Law, Compliance, or equivalent). Compliance certifications are also an asset. - A minimum of 5 years of relevant experience in a company, law firm, consulting firm or regulatory authority. - Substantive exposure to at least two of the following areas: anti-corruption and Sapin II, economic sanctions, and export controls. - Experience in the technology or AI sector is a plus (understanding of data, semiconductors, or dual-use goods), as well as knowledge and understanding of artificial intelligence. - Analytical and problem solving skills : Candidates should be able to analyze complex topics and have strong problem-solving skills, and be able to dig into internal systems. - Pedagogy: Excellent written and verbal communication; strong ability to communicate legal advice to clients and colleagues, and presenting complex legal concepts in a clear and understandable manner. - International mindset : International experience is a plus. - Adaptability: Given the rapidly evolving nature of AI technologies and compute topics, and the legal landscape surrounding them, candidates should be adaptable and willing to continuously learn and update their skills and knowledge. - Ability to work independently and in a team-oriented, collaborative environment. - Ethical Awareness: Ability to promote an ethical and responsible culture. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About the Role This Events Manager will support the planning and execution of high-touch creator, press, and executive-facing events at OpenAI. Working under the guidance of the Event Management Lead, this person will own critical workstreams across guest experience, front-of-house operations, vendor coordination, production logistics, and post-event reporting. The ideal candidate is highly detail-oriented, polished under pressure, and experienced in building white glove experiences for high-profile guests, including creators, media, executives, talent teams, and senior external partners. They should bring excellent judgment, a strong hospitality mindset, and a keen eye for the small details that make an event feel seamless, elevated, and deeply considered. In this role, you will: - Manage and execute high-touch creator, press, and executive-facing events from end to end, including workstreams, agency management, registration, guest experience, catering, production logistics, and onsite execution. - Develop and maintain comprehensive project timelines, tracking all milestones, deliverables, and deadlines to ensure seamless event execution. - Source, negotiate, and coordinate with vendors, including caterers, AV providers, and creative production teams, ensuring adherence to OpenAI’s standards and compliance requirements. - Oversee attendee registration, check-in processes, and manage event communications, including pre- and post-event outreach. - Maintain meticulous financial records, closely monitoring budgets, processing invoices, and reporting on expenditures versus budget targets. - Collaborate closely with and communicate effectively with internal stakeholders—including design, procurement, and security—to align all event elements with strategic goals and brand guidelines. - Implement and manage safety and security protocols, prioritizing attendee well-being and compliance with health guidelines. - Collect, analyze, and report event metrics, attendee feedback, and key learnings to inform future events and measure return on investment. You might thrive in this role if you: - Have 7+ years of event production experience, managing end-to-end planning, onsite execution, and post-event analysis. - Enjoy pushing creative boundaries and excel at leading the guest experience–owning front-of-house operations and vendor coordination for high-profile corporate events. - Are passionate about OpenAI’s mission and excited about showcasing cutting-edge AI technology through impactful event experiences. Workplace & Location This roles is based onsite in San Francisco, 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.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the Role We are seeking an experienced Privacy Program Manager to join our Legal Team and help build and scale ElevenLabs’ global privacy program. In this role, you will translate privacy requirements into effective, repeatable processes across the company and drive the day-to-day operation of key privacy initiatives. You will work closely with Legal, Product, Engineering, Security, Safety, and GTM teams to operationalize privacy-by-design, manage privacy assessments and compliance workflows, and strengthen the systems and processes that support ElevenLabs’ growing global business. This role is ideal for someone who combines deep privacy program experience with strong project management skills and enjoys building scalable programs in a fast-moving AI environment. Responsibilities - Manage and continuously improve ElevenLabs’ global privacy program, translating legal and regulatory requirements into scalable operational processes and controls. - Own and coordinate privacy compliance workflows across frameworks including GDPR, CCPA/CPRA, US state privacy laws, HIPAA, and applicable biometric privacy requirements. - Manage privacy impact assessment processes, including Privacy Impact Assessments (PIAs), Data Protection Impact Assessments (DPIAs), and assessments involving AI systems, biometric data, voice technologies, health information, and other sensitive data. - Partner with Product, Engineering, Legal, and Security teams to operationalize privacy-by-design throughout the product development lifecycle. - Maintain data inventories, records of processing activities (RoPAs), data flow documentation, and other privacy governance records. - Manage processes for data subject and consumer rights requests, including access, deletion, correction, and opt-out requests, and help ensure requests are handled consistently and within applicable deadlines. - Partner with Security and Legal on third-party and vendor privacy assessments, data processing requirements, and privacy-related risk remediation. - Support privacy incident response and regulatory or customer inquiries by coordinating documentation, stakeholders, timelines, and follow-up actions. - Implement and administer privacy tooling and automation to improve the efficiency and scalability of privacy operations including maintaining ElevenLabs’ consent management platform and partnering with Legal, Marketing, Product, and Engineering to ensure cookie, tracking technology, and other consent and preference mechanisms are appropriately configured, documented, monitored, and updated as our products and regulatory requirements evolve. - Develop privacy program metrics, dashboards, and reporting to track compliance, identify risks, and communicate program maturity and priorities to stakeholders. - Develop and maintain privacy policies, procedures, playbooks, templates, and internal guidance. - Coordinate privacy training and awareness initiatives across the company. Who you are - Excited by AI and emerging technologies and interested in solving novel privacy challenges involving voice, biometrics, health information, and other sensitive data. - An exceptional program manager who can turn complex requirements into clear workstreams, owners, milestones, and measurable outcomes. - Comfortable operating across Legal, Product, Engineering, Security, and commercial teams and able to communicate effectively with both technical and non-technical stakeholders. - Highly organized and detail-oriented, while able to prioritize effectively and maintain momentum across multiple workstreams. - Pragmatic and solutions-oriented, with a strong instinct for building processes that manage risk without creating unnecessary friction. - Comfortable building programs and processes from the ground up in a fast-paced, high-growth environment. What you bring - 6+ years of experience in privacy program management, privacy operations, data governance, compliance, or a related field, ideally within a technology, SaaS, or AI company. - Demonstrated experience operationalizing privacy requirements under frameworks such as GDPR, CCPA/CPRA, and other US state privacy laws as well as sector specific frameworks such as HIPAA and biometric privacy requirements. - Technical mindset, you can read a data flow diagram, understand system architectures and keys to data handling and can translate between legal requirements and engineering implementation. - Experience building or significantly improving privacy review processes, privacy impact assessments, or privacy control frameworks. - Hands-on experience managing consent management platforms and cookie/tracking technology compliance, including consent configuration, preference management, and coordination with technical and marketing teams. - Familiarity with security and privacy frameworks such as SOC 2, ISO 27001, or similar. - Privacy certifications such as CIPP/US, CIPP/E, CIPM, or CIPT are a plus. - Excellent project management, communication, stakeholder management, and problem-solving skills. Location This role is remote and can be executed in the United States. We have a strong preference for the Eastern time zone, ideally New York. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About the Team OpenAI’s People team aims to hire, engage, and retain world-class talent to safely build and deploy universally beneficial Artificial General Intelligence (AGI). The HR team, a vital subset of the People team, supports a diverse group of scientists, engineers, and business professionals, with expertise spanning employee relations, immigration, compensation and benefits, learning and development, project management, and more. About the Role We’re seeking an HR Business Partner to support our growing teams across EMEA, with a particular focus on France. This role will help build scalable, locally compliant people practices and support strong employee relations as we grow. You will partner closely with regional People leadership, Legal, Employee Relations, and other People COEs to strengthen our approach to employee relations and employee representation in France. This will include building practical governance, manager practices, and operating processes that are compliant and sustainable as we scale. Beyond France, this role will serve as a trusted HR partner to managers and teams across EMEA. You will combine strong operational execution with thoughtful business judgment to support performance, organizational health, employee relations, and disciplined people practices at scale. This role reports into the International HRBP Lead, who owns regional organizational design and workforce planning. You will operate as a key regional execution partner to them, translating strategic direction into consistent delivery, elevating manager capability, and proactively surfacing people risks and themes. If you're joining us in person, we offer relocation support and follow a hybrid schedule: three days a week in the office, with the option to work from home on Thursdays and Fridays. Our offices are designed for focus and connection, with spaces for both individual work and collaboration. Your Responsibilities - Lead employee-representative work in France: Partner with Legal, Employee Relations, People Operations, and local stakeholders to own and deliver CSE-related processes, including elections, consultations, employee communications, documentation, governance, and effective ongoing operating rhythms. - Build sustainable employee relations processes: Help establish clear processes for engaging with employee representatives, preparing for required information and consultation processes, maintaining appropriate documentation, and coordinating inputs from relevant business and People stakeholders. - Support managers operating in the French employee relations environment: Equip managers and leaders with practical guidance on working effectively within French employment and employee-representation frameworks, escalating complex matters to Legal or specialist teams as appropriate. - Drive strong day-to-day HR execution: Partner with managers across EMEA to support performance management cycles, feedback conversations, organizational changes, and employee relations matters with consistency and care. - Be the go-to partner for frontline managers: Provide practical, timely guidance on team health, coaching conversations, policy interpretation, performance management, and manager enablement. - Support and operationalize People programs: Help implement and maintain performance, engagement, retention, and employee experience initiatives, ensuring processes are clear, scalable, and well executed across different EMEA jurisdictions. - Triage and resolve employee relations issues: Identify issues early, assess risk, recommend appropriate actions, and partner with Employee Relations, Legal, and other COEs on complex or sensitive matters. - Maintain operational rigor: Track employee relations themes, maintain complete and accurate documentation, coordinate recurring processes, and ensure actions and commitments are followed through. - Collaborate cross-functionally: Work closely with HRBPs, Legal, Employee Relations, People Operations, Total Rewards, and other COEs to provide a consistent and high-quality employee experience across EMEA. We’re Seeking - Strong HR foundation: Approximately 8+ years of HR experience, including meaningful experience partnering directly with managers in fast-paced, high-growth, or complex international environments as a Senior HR Generalist or HR Business Partner. - French employee relations experience: Practical experience working with French employment practices and employee representative bodies. Direct experience establishing, supporting, or working closely with a CSE, works council, or comparable employee representative structure is highly valued. - Experience with employee representative processes: Familiarity with employee elections, consultation processes, employee representative communications, and the governance and documentation associated with formal employee representation. - Execution-oriented partnership: Comfortable owning detailed, time-sensitive workstreams and coordinating across multiple stakeholders while maintaining sound judgment and strong follow-through. - Strong project management: Able to take complex, multi-stage employee-representative processes and translate them into clear milestones, owners, dependencies, communications, and operating processes. - Manager coaching capability: Able to guide managers through performance conversations, organizational changes, and employee relations issues with clarity and confidence. - Operational strength: Brings structure, organization, and discipline to people processes and can build repeatable practices as the organization scales. - Good judgment under pressure: Balances empathy, employee experience, business needs, and appropriate risk management while handling sensitive matters with discretion. - High integrity: Trusted, fair, principled, and comfortable operating in an environment where confidentiality and sound judgment are essential. - Language capability: Professional fluency in French and English is strongly preferred given the role’s responsibility for supporting employee relations and representative processes in France. 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.

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. Note: each person in this role will be expected to work a standard 5x8 work week, with 1 of the days covering weekend shifts each week (e.g., work weeks covering Tuesday - Saturday or Sunday - Thursday) You’ll be responsible for: - Working directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and delivering expert guidance. - Becoming a trusted expert on OpenAI’s products and platform, serving as a go-to resource for complex technical issues. - Serving as a critical escalation point and line of defense for complex technical issues, partnering closely with customers and Engineering teams to troubleshoot, resolve, and proactively prevent recurring problems while leveraging scripting and emerging AI capabilities to improve internal tooling and automate operational workflows - Taking learnings from resolving customer issues and creating our approach to scaling these solutions, partnering with Product and Go-To-Market teams. - Driving operational excellence by identifying opportunities for automation and AI-powered workflows, implementing scalable improvements that increase team efficiency, reducing manual effort, and elevating the overall support experience. - Providing occasional holiday and weekend support on call coverage, as needed, to support business and customer needs. You might thrive in this role if you have: - Have 8+ years of experience in User Operations, Engineering, Support Engineering or similar technical roles, ideally within high-growth tech startups or other fast-paced environments. - Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python) for automating repetitive tasks and integrating tools. - Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts. - Polished enterprise communication and are calm with high-stakes customers during live incident calls - Proven experience building strong relationships with customers and cross-functional partners to drive resolution to complex issues. - Exceptional critical thinker and problem solver with the ability to clearly communicate complex technical issues to both customers and internal teams. - Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth. - Bring a humble, team first mindset, a genuine eagerness to help others, and the curiosity to quickly learn whatever knowledge is needed to help both your teammates and our customers succeed. - Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience. 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.

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 growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We’re looking for a Recruiter to join our Talent team based in London to own full-cycle recruiting of our G&A functions (Policy, Finance, Legal, People, and related areas). This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You’ll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic’s values. You’ll work in a fast-moving environment where priorities shift, and you’ll have real ownership over the roles you run. We’re open to candidates whose strength is in G&A recruiting in your application, tell us where your experience is deepest across the functions. Key Responsibilities - Own full-cycle recruiting for a portfolio of G&A roles across EMEA—from intake through offer and close - Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies - Source and engage high-quality active and passive candidates, building diverse and competitive pipelines - Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic’s hiring bar - Manage candidates through the process with clear communication and a great experience at every stage - Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close - Use data to track pipeline health and share insight that helps hiring managers make good decisions Minimum Qualifications - 6+ years of full-cycle recruiting experience in G&A (Policy, Finance, Legal, People) with a focus on Policy hiring - Demonstrated ability to recruit in the UK and European market, with familiarity with local talent dynamics and employment norms - Track record of strong stakeholder partnership — building trust quickly with hiring managers in fast-moving environments - Comfortable operating with ambiguity: willing to flex between functions and contribute to building something new rather than running an established playbook - Proven ability to maintain quality under volume pressure — owns pipeline health, not just pipeline size - Self-starter who can work with significant autonomy while staying tightly aligned with global strategy - Genuine connection to Anthropic's mission and an understanding of why it matters in a recruiting context Preferred Qualifications - Experience recruiting at a high-growth technology, AI, or machine learning company - Experience recruiting across both G&A and GTM functions - Experience hiring across multiple EMEA markets, including the UK and Ireland - Familiarity with Greenhouse or similar ATS platforms - Additional European language skills relevant to hiring across the region 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: £105,000 - £145,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 an experienced Corporate Development professional to drive key strategic initiatives, including sourcing and executing acquisitions and strategic partnerships. In this role, you will partner directly with key members of Anthropic's leadership team to shape our growth strategy and help build the ecosystem around safe, beneficial AI, grounded in Anthropic’s strategic priorities. As a critical strategic partner, you'll identify opportunities for expansion, lead complex transactions, and ensure successful integration of new capabilities into our organization. The ideal candidate brings a unique combination of strategic thinking, technical understanding, and execution capability. You're passionate about AI safety and Anthropic's mission to create AI systems that are helpful, harmless, and honest. You thrive in ambiguous environments and can navigate complex negotiations while maintaining strong relationships across multiple stakeholders. Key responsibilities - Help shape the corporate development function, establishing best practices across the full spectrum of transactions from acquihires to transformational acquisitions - Partner closely with cross-functional product, engineering, and research teams to understand and assess the technical and strategic value of potential opportunities - Lead end-to-end transaction processes, from initial sourcing through due diligence, negotiation, and integration - Create streamlined processes for rapid evaluation and execution of technical talent acquisitions - Build and maintain relationships with entrepreneurs, venture capitalists, and strategic partners in the AI ecosystem - Conduct comprehensive market analysis to identify emerging trends, competitive dynamics, and growth opportunities in AI and related technologies - Structure and negotiate complex deals, working closely with legal, finance, and other cross-functional teams - Drive post-transaction integration efforts, ensuring successful realization of strategic objectives - Develop financial models and valuation analyses to support investment decisions - Present strategic recommendations to executive leadership and board members - Support the growth of Anthropic's partnership ecosystem, including relationships with cloud providers and enterprise customers Minimum qualifications - Possess strong technical understanding through either work experience (as a software engineer, product manager, or investor) or educational background (Computer Science degree or equivalent) - Demonstrate exceptional analytical and financial modeling skills - Have experience leading complex M&A transactions or strategic partnerships in technology sectors - Excel at building relationships and can effectively engage with technical and business stakeholders - Are comfortable operating in fast-paced, ambiguous environments with competing priorities - Possess outstanding communication skills, both written and verbal, with ability to influence at all levels - Have a deep interest in AI safety and alignment with Anthropic's mission Preferred qualifications - Have 12+ years of corporate development experience, with demonstrated success building or significantly scaling corp dev functions at high-growth technology companies - Have direct experience in AI/ML companies or deep learning research environments - Bring an established network within the AI startup ecosystem and venture capital community - Have led post-merger integration efforts or built new business units from the ground up - Possess an MBA or advanced technical degree - Have experience negotiating complex strategic partnerships with major technology companies - Demonstrate a track record of identifying and executing transformational opportunities - Show experience with international expansion or cross-border transactions 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.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the Role Join Mistral AI’s Strategic Licensing Partnerships team and help shape the future of sovereign frontier AI. Working at the intersection of corporate law, venture finance, and frontier research, you will support strategic initiatives that transform high-value real-world financial, corporate, and specialized data assets into frontier AI capabilities. In the Strategic Licensing Partnerships Intern role, you will drive data sourcing initiatives and engage key stakeholders across financial services, venture capital, private equity, and institutional networks. You will merge strategic deal execution with practical technical work—leveraging state-of-the-art LLM tools and AI agents to demonstrate how specialized financial data drives next-generation AI solutions. You will collaborate closely with cross-functional teams across IP & Licensing, Applied AI, Engineering, and Research to align content sourcing with Mistral AI’s strategic roadmap. This role is ideal for a high-potential, hybrid legal/business profile who combines strong financial and legal acumen with deep AI curiosity, hands-on tech fluency, and an adaptable mindset to thrive in a fast-paced frontier research environment. What You Will Do - FSI/ PE / VC ecosystem research & outreach: conduct deep-dive research across private equity/venture capital and financial services industry providers to identify data partnership opportunities. - Coordinate with Applied AI and Research teams to test current LLM tools, help configure custom AI agents, and adapt interactive product demos for financial partners (no software engineering degree required) - Privacy & data partner operations: oversee specialized external privacy vendors, managing deliverables, compliance quality, and data quality standards. - Program tracking & cross-functional alignment: establish tracking metrics, monitor pipeline velocity, and communicate progress and risk mitigation plans across Engineering, Research, Product, Legal, and Leadership. What We’re Looking For: - Background: final-year Master 2 / Grande École student in Corporate Law, Business/Finance, Private Equity, or Tech Governance (hybrid legal/business profile strongly preferred). - Tech fluency: strong AI curiosity and hands-on tech fluency (comfortable configuring AI agents, building prompt workflows, adapting demos). Software engineering degree not required. - Interests: passion for VC, PE, financial services innovation, and corporate restructuring. - Fluent French (required) and professional English - Location & work authorization: this internship is available only in France. Please apply only if you have the required work authorization to complete the internship for its full duration. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role As a Strategic Account Executive for South Korea, you’ll be one of the foundational members of SpaceXAI’s enterprise sales team in the region. You’ll help large engineering organizations discover, adopt, and expand their use of Cursor, owning strategic accounts across APJ and working directly with engineering leaders, CTOs, developer platform teams, and procurement stakeholders. This is a rare opportunity to bring a product that engineers already love into some of Korea's most sophisticated technology, financial services, enterprise, and digital-native organizations and to help shape how software gets built in the AI era. What you’ll do - Own a named book of strategic enterprise accounts across Korea, driving new logo acquisition and expansion revenue - Run a disciplined, full-cycle sales process from prospecting and discovery through evaluation, negotiation, and close - Build and execute account strategies that connect the Grok platforms capabilities to the technical and business priorities of engineering leaders, CTOs, and developer platform teams - Create pipeline through outbound prospecting, executive mapping, inbound follow-up, partner referrals, and your own network - Partner closely with Sales Engineering, Product, and Customer Success to deliver high-quality evaluations and ensure customers realize value quickly - Navigate complex enterprise buying processes, including security reviews, legal negotiations, procurement, and multi-stakeholder approval cycles - Serve as the voice of Korea's enterprise customers internally, sharing market feedback and deal learnings with Product, Marketing, Customer Success, and GTM leadership - Help establish SpaceXAI’s enterprise presence in Korea by building repeatable motions, local market insights, and early customer references - Consistently meet and exceed quarterly and annual revenue targets You may be a fit if - You have 10+ years of enterprise B2B sales experience, ideally selling developer tools, infrastructure, cloud, security, AI, or other technical SaaS products to engineering-led organizations - You have experience selling into strategic or large enterprise accounts in Korea - You’re comfortable navigating complex buying committees across engineering, IT, security, legal, procurement, finance, and executive stakeholders - You’re a true hunter: you proactively build pipeline from scratch through outbound prospecting, creative sourcing, executive engagement, and persistent follow-up - You have strong command of pipeline management, account planning, and forecasting across a strategic book of business - You’re energized by technical products and can hold credible conversations with senior engineers, platform leaders, and CTOs about how Grok fits into modern development workflows - You’re a self-starter who thrives in an early-stage, resource-constrained environment and can build process, playbooks, and regional learnings as you go - You care deeply about AI and believe transforming how software is written is one of the most important problems to work on right now - Speak fluent Korean

About the Team The Pricing & Monetization team is responsible for how our products create and capture value. We partner closely with Product, GTM, Finance, and Systems teams to design pricing models, packaging, and commercial strategies that support adoption, growth, and long-term scaling of the business. To thrive in this team, you need to be a proactive problem-solver who excels at bringing structure to ambiguous challenges. Our work demands strategic thinking, cross-functional collaboration, and precision in execution. Team members succeed when they are analytical, detail-oriented, skilled at balancing multiple priorities, and passionate about driving high-stakes projects forward to deliver meaningful results. About the Role We are looking for a Pricing Operations Lead to help translate pricing and packaging decisions into clear, scalable execution. You will work closely with pricing leaders and cross-functional partners across Product, Engineering, Billing, Finance, and GTM to ensure pricing changes are implemented accurately, system requirements are well managed, and launch decisions move from strategy to reality with discipline. You should be comfortable operating at the intersection of business judgment, systems thinking, and program management. This role will help shape the operating backbone for pricing implementation, support teams developing billing and related monetization systems, and ensure the pricing team's needs are represented clearly in cross-functional planning and execution. In this role, you will: - Lead the operational execution of pricing and packaging decisions from approval through implementation and launch - Translate pricing strategy, policies, and launch decisions into clear business requirements for billing, quoting, revenue, and related systems teams - Partner with Product, Engineering, Billing, Finance, and GTM teams to manage dependencies, scope tradeoffs, testing needs, and launch readiness - Own pricing-related requirement intake and prioritization on behalf of the pricing team, ensuring requests are clear, well managed, and tied to business needs - Support the design and implementation of new product, SKU, packaging, and billing configurations as pricing changes move into production - Establish lightweight but effective pricing operations processes, including governance, documentation, sign-offs, and issue tracking - Identify recurring friction in pricing execution and drive improvements that reduce ambiguity, delays, and rework You might thrive in this role if you: - Have 6+ years of experience leading pricing operations or closely related monetization, commercialization, or revenue operations work - Have a strong track record of helping implement complex pricing or packaging decisions across cross-functional teams - Can translate pricing intent into practical system requirements, launch plans, operating workflows, and stakeholder decisions - Have experience partnering closely with billing systems, product, engineering, finance, and go-to-market teams - Are highly organized and comfortable managing multiple workstreams, dependencies, risks, and timelines at once - Communicate clearly with both business and technical audiences, and can drive accountability without creating unnecessary process - Care deeply about operational precision, customer clarity, and building systems that scale as pricing complexity grows - Are a self-starter who can roll up your sleeves and operate effectively in a fast-paced, high-ambiguity environment About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Director, Technical Accounting – Investments and M&A to join our Finance team at Anthropic. In this role, you will own the company's accounting for strategic investments, partnerships with investment components, and related capital transactions, and support mergers and acquisitions when deal volume requires. You will report to the Senior Director, Technical Accounting – M&A and Investments. As Anthropic continues to scale rapidly and deploy capital into strategic investments, joint ventures, and novel commercial structures, including compute arrangements that carry warrants and other investment features, you will be a key technical resource on classification, consolidation outcomes, fair value, and financial statement impact across the portfolio. You will partner closely with Corporate Development, Legal, Tax, Treasury, FP&A, and leadership to ensure that investment economics are accurately reflected under US GAAP and that positions are defensible to external auditors, valuation specialists, and future regulators. This is a builder role: you'll help stand up and continuously sharpen the portfolio accounting process, controls, and valuation governance expected of a world class finance organization, working alongside the Senior Director as the function takes shape. If you want to own a portfolio end to end — and still be in the room when deals are shaped — we want to hear from you. Responsibilities - Execute technical accounting for strategic investments, joint ventures, partnership structures, and related financing/equity instruments from entry through exit - Partner with and influence Corporate Development to steer investment structures toward preferred terms and outcomes, reviewing term sheets and deal documents before signing - Own entry accounting for each new investment — classification under ASC 321, 323, or 810, VIE/primary-beneficiary analysis, basis differences, and the initial measurement memo - Run the quarterly portfolio review — reconsideration events, impairment indicators, observable price changes, and equity method pick-ups — and account for follow-on investments, conversions, down rounds, and exits - Own the investment rollforward, its reconciliation to the general ledger, and the portfolio reporting that supports close, FP&A, and leadership, including review of portfolio company financial statements - Manage third-party valuation specialists; review fair values of investments, warrants, and derivative features, including Level 3 inputs and impairment analyses - Assess warrants, equity rights, and other investment components embedded in partnerships and compute arrangements, partnering with Accounting Policy on how consideration is allocated - Support M&A transactions alongside the M&A lead when deal volume requires — accounting due diligence, purchase accounting (consideration measurement, PPA review, opening balance sheet), and measurement-period adjustments - Author and defend technical accounting policies & memoranda; partner closely with external auditors on investment, consolidation, and M&A matters - Help build the investments operating model — intake form and approval gates, memo templates, quarterly checklists, and SOX-ready controls — designed to scale as the portfolio grows including utilizing Claude, ERP systems and third party applications (as applicable) - Prepare and review investment and transaction disclosures for quarterly and annual filings, including fair value, equity method, and VIE disclosures - Present investment accounting conclusions and financial statement impacts to leadership and cross-functional stakeholders in clear, decision-ready terms - Monitor standard-setting and SEC developments affecting investments, consolidation, and business combinations; support adoption and cross-functional education Minimum qualifications - Bring significant Big 4 experience — ideally in a National Office, Transaction/Deal Advisory, or Capital Markets/Accounting Advisory group — paired with in-house experience at a technology company and public accounting or advisory experience - Proven experience leading complex valuations (e.g., business combinations, equity and debt investments, warrants and other Level 3 instruments), including directing and challenging the work of third-party valuation specialists - Have owned the accounting for a portfolio of minority/strategic investments, including quarterly impairment and fair value monitoring and at least one investment of meaningful scale or complexity - Possess deep command of US GAAP for investments in equity securities, equity method, consolidation and VIEs, fair value measurement, and business combinations, with a track record of positions that withstand auditor and regulator scrutiny - Are fluent in valuation concepts and can direct and challenge third-party specialists on private company fair value, warrant/option pricing, impairment, and PPA models - Have operated within an investments-accounting or deal-accounting function, contributing to playbook and controls design - Communicate effectively with Corporate Development, Legal, and Tax on structuring trade-offs, translating technical conclusions for cross-functional and senior stakeholders - Demonstrate exceptional written and verbal communication, translating complex investment and deal accounting into clear business implications - Excel at hands-on technical execution in a fast-paced, ambiguous environment, shifting between portfolio work and live deals as priorities change - Are proficient with accounting systems (Workday preferred), consolidation tools, and advanced Excel/modeling - Curious about and quick to adopt new AI tools, including Claude and Claude for Finance Preferred qualifications - Have 10+ years of progressive accounting experience, including 4+ years owning strategic investment, equity method, or consolidation accounting end-to-end - Have deep, practitioner-level expertise in one or more of the following: - Investments in equity securities, equity method, and consolidation (ASC 321, 323, 810), including VIE/primary-beneficiary analysis, basis differences, and the measurement alternative - Fair value measurement, derivatives, and embedded features (ASC 820, 815, 825), including warrants and Level 3 inputs for private company investments - Business combinations and asset acquisitions (ASC 805), including contingent consideration and step acquisitions - Collaborative arrangements and consideration exchanged in commercial deals (ASC 808, 606) - Hold an active CPA license - Have built an investment accounting process from the ground up, including intake, quarterly monitoring, and SOX-compliant controls over non-routine/complex transactions - Have prepared or reviewed investment disclosures in SEC filings, including fair value hierarchy, equity method, and VIE disclosures - Have experience with novel AI/technology structures — investments bundled with compute or commercial agreements, warrants received from customers or vendors, revenue-share partnerships, and strategic investor rights — and are passionate about leveraging AI to automate portfolio monitoring, memo drafting, and close Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 Repairs Lead within the Data Center Infrastructure organization, you will define and manage the end-to-end hardware repair program across Anthropic's growing fleet of data centers. You will be accountable for repair turnaround time and the compute returned to service across every site, covering server, GPU/accelerator, network, and optics break-fix, RMA and reverse logistics with OEMs and ODMs, and the spares and repair inventory that keeps repair SLAs achievable. As a subject matter expert in hardware operations, you will develop scalable repair processes and quality targets, set the standards that site operations partners and repair vendors execute against, and turn failure trends into fixes which are driven upstream with engineering and equipment partners. If you are experienced in at-scale datacenter hardware operations, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities Include: - Define the global repair strategy including repair SLAs, prioritization rules, escalation paths, and reporting methods, and drive standardization across all sites. - Own repair turnaround time and repair backlog across the fleet evidenced by Anthropic-owned ticket and telemetry dashboards you help develop. - Author and improve procedures for triage, break-fix, return-to-service validation, and train site operations partners on how to execute them. - Manage RMA and reverse logistics programs with OEMs, ODMs, and depot repair vendors, including warranty claims, return cycle times, and failure analysis feedback. - Set spares pool sizing and stocking levels by site and part, in coordination with supply chain and asset management, so that parts availability never gates repair SLAs. - Analyze failure patterns across sites to identify root causes and drive corrective actions with hardware engineering, suppliers, and site operations owners. - Lead the operating cadence with vendor and site leads, including weekly repair reviews, scorecards, and business reviews, and drive corrective actions for SLA excursions. - Communicate repair constraints, risks, and fleet availability impact to engineering and leadership. You may be a good fit if you: - Have 8+ years of experience in data center operations as a manager, technical lead or related role, including accountability for production availability. - Can demonstrate a proven track record running break-fix programs at a large scale across multiple sites. - Have managed vendors, OEMs, or contract workforces to measurable outcomes: SLAs, operational reviews, and corrective action. - Possess hands-on technical depth in server, network, and rack-level hardware, enough to independently verify repair quality and audit vendor claims. - Have built or substantially improved operational processes. - Are comfortable working with ticket, telemetry, and inventory data to drive decisions. - Possess a bachelor's degree in relevant domain or equivalent practical experience. It’s a bonus if you have: - Experience with GPU/accelerator or high-density liquid-cooled infrastructure, including tray, cold plate, and manifold-level repair. - Experience managing RMA and warranty programs with hyperscale OEMs/ODMs, including failure analysis and supplier quality engagement. - Experience with spares planning, reverse logistics, or depot repair at data center scale. - Experience delivering repair outcomes inside partner-operated or colocation sites where on-the-floor operations are staffed via third parties. - Familiarity with optics and high-speed interconnect failures. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About the Team The Enterprise Platform Technology (EPT) team builds internal software for OpenAI’s go-to-market teams, helping streamline workflows and improve decision-making. We are building a reliable foundation that other teams can extend with their own applications. About the Role As a full-stack Software Engineer on EPT, you will build web applications, integrations, and shared platform capabilities. You will own architecture decisions and partner with business and engineering teams to improve seller workflows and develop intelligent workflow experiences that help teams identify useful next steps. We’re looking for product-minded engineers who can independently turn complex business needs into full-stack software. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design and deliver full-stack web applications and integrations that support go to market workflows - Define platform and application boundaries that let other teams extend our go to market systems while protecting sensitive data, reliability, and data integrity. - Work with product and business partners to prioritize useful capabilities, including intelligent experiences informed by relevant business context.. You might thrive in this role if you: - 5+ years of professional software engineering experience, excluding internships, on product-driven teams. - Experience building large-scale, full-stack software applications in collaboration with cross-functional teams. - Make sound architecture and product decisions for connected systems, with attention to sensitive data, reliability, and maintainability. - Communicate clearly and collaborate across engineering and business teams. The EPT platform uses Python/FastAPI and React, but experience with those specific technologies is not required. Agentic-system experience is a plus, not a requirement. 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.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The team Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. The Role This is a people-leadership role from day one. You will manage the team — hiring, coaching, performance, growth paths, honest feedback — while staying close to the code: roughly half your time in architecture decisions and the hardest technical problems the team faces, the other half leading your squad. If you are looking for a senior IC role, this is not it. You will own our Kubernetes product end to end: a metal-to-on-demand platform built on in-house infrastructure, with GPU support for training, inference, and general-purpose compute. Kubernetes is our product, not just our platform — we run it on infrastructure we own end to end. You will decide how the control plane scales, how GPUs get scheduled, and how quickly a rack of bare metal becomes an on-demand cluster a customer can use. The decisions you make here shape how our infrastructure scales from today's footprint to a gigawatt, and how we turn frontier AI research into production systems used by millions. This is a role for an engineer who leads from the front because that is where the work is, not because management was the next rung on the ladder. What You Will Do - Design and ship the control plane. You build alongside your team and own the architecture and the hardest implementation decisions — scheduling, operators, provisioning, node lifecycle. - Grow the engineers, not just the software. You set the standard for ownership, remove the obstacles in their way, and coach them past their comfort zone until the work they ship surprises them. - Own the reliability of the Kubernetes control plane. It is the team's headline KPI. You make the calls when it breaks at 3am, and your engineers learn from how you do it. - Shrink the distance from metal to on-demand. Provisioning a cluster should be minutes of automation, not weeks of tickets. - Partner with Product Managers to set priorities, scope initiatives, and make the technical and business tradeoffs. - Own people management for the team: hiring, performance, growth paths, and honest feedback — the leadership work that never becomes someone else's job. - Define the team's processes and execution rituals as it grows. What We're Looking For - 2+ years of real people leadership. You have managed engineers — hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write. - You have shipped production systems in Go. Not dabbled. Shipped. - You have run Kubernetes in anger — and ideally built parts of it: operators, schedulers, controllers. You understand what happens underneath it, and you have worked on Linux directly, not just on managed services that sit on top of it. - You have run GPU workloads on Kubernetes, or you are confident you can own that domain fast. - You think like a developer who happens to build infrastructure, not an operator who manages it. You write code other engineers depend on. - Extensive experience building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About the Team The Supply Chain Technology team within OpenAI’s Enterprise Platform & Technology builds and scales the systems and data architecture that power our core supply chain operations. We enable operational agility, visibility, and execution across planning through fulfillment and partner operations. Our focus is on modernizing workflows through strategic integrations, scalable automation, and seamless data flows empowering better decisions, reliable operations, and sustainable growth as OpenAI evolves. About the Role As a Senior Integrations Engineer, you will design, build, and operate the integrations and custom applications that connect OpenAI’s supply chain ecosystem. You will combine integration platforms, Python development, and APIs to deliver reliable data flows across enterprise systems, internal applications, and external partners. You will partner closely with Hardware Operations, Application Engineers, Product Managers, IT, and business teams to improve data integrity, automate operational workflows, and support the transition from legacy systems to modern cloud platforms. This is a hands-on engineering role with ownership across architecture, implementation, deployment, and ongoing production support. In this role, you will - Define integration architecture and reusable design patterns across the supply chain technology landscape, balancing reliability, security, maintainability, and delivery speed. - Build and support integrations connecting ERP and SCM systems, internal applications, e-commerce platforms, third-party logistics providers (3PLs), contract manufacturers (CMs), retailers, and distributors. - Develop workflows, APIs, event-driven services, and batch and file interfaces, choosing the appropriate combination of platform capabilities and custom code. - Build production Python applications, integration services, reusable connectors, and operational tools with automated tests and maintainable interfaces. - Implement API and EDI partner integrations, including data mappings, partner onboarding, end-to-end testing, and transaction reconciliation. - Develop Model Context Protocol (MCP) servers, tools, and plugins that connect AI-enabled applications to supply chain systems, with appropriate authorization, validation, audit trails, and transaction approvals. - Own production reliability through monitoring, alerting, incident response, and recovery. Diagnose and resolve data synchronization errors, API failures, and performance bottlenecks. - Embed access controls, segregation of duties, and auditability into integration design to support SOX compliance and internal control requirements. You might thrive in this role if you - Bring 10+ years of experience in integration development, architecture, and design, with a track record of delivering and operating production systems. - Have hands-on proficiency with at least two integration platforms, such as Workato, MuleSoft, or Oracle Integration Cloud (OIC). - Use Python as a primary development language and have built production applications or integration services with automated testing and sound engineering best practices. - Have worked in high-volume environments such as customer-facing e-commerce and understand the supply chain processes behind order management, inventory, fulfillment, and returns. - Understand integration patterns, REST and SOAP services, asynchronous messaging, EDI, and data formats such as JSON, XML, and CSV. - Have directly built or maintained third-party API integrations and understand OAuth, webhooks, rate limits, pagination, retries, idempotency, and failure recovery. - Are comfortable working with AWS or Azure and supporting technologies such as Kafka, PostgreSQL, Redis, or Elasticsearch. - Have experience with microservices and containerized applications using Docker and Kubernetes. - Take ownership of systems throughout their production lifecycle, participate in on-call support, and prioritize reliability and operational readiness. - Communicate technical issues and business impact clearly to both engineering teams and nontechnical stakeholders. - Work independently, navigate ambiguity, and turn business needs into practical technical solutions. Nice to Have - Experience building integrations to and from Oracle Fusion ERP or SCM, particularly across planning, procurement, manufacturing, inventory, logistics, and order management. - Experience developing MCP servers, plugins, or agentic automation for enterprise workflows. - Regular use of AI coding tools such as Codex, with a disciplined approach to reviewing, testing, and validating generated code. 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.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced partnerships leader to build and scale ElevenLabs' Public Sector Partner Programme in North America — bringing together resellers, VARs, and systems integrators who help deploy our technology across federal agencies, state and local governments, and education institutions. You'll own the public sector partner strategy end-to-end — from building relationships with leading SIs and VARs with established public sector practices, to onboarding, enabling, and activating them to sell and deliver ElevenLabs products into government and education accounts. This is a 0→1 build: you'll design partner incentive and enablement models tailored to the procurement and compliance realities of the public sector, generate qualified pipeline through partner-led opportunities, and scale the programme against North America growth targets — while owning day-to-day execution and partner performance. What success looks like (first 6–9 months) - Partner-Sourced & Influenced Revenue: closed-won ARR through VARs, SIs, and channel partners reaching at least 20% of North America public sector revenue - Partner-Sourced Pipeline: qualified pipeline created through partners, with a focus on enterprise and agency-level opportunities in federal, SLED, and education - Revenue-Producing Partners: number of partners actively generating pipeline, opportunities, or revenue each quarter - Time-to-First Revenue: speed from partner onboarding to first sourced opportunity and first closed-won deal - Strategic Account Penetration: new agency and institution relationships unlocked through partners that ElevenLabs would've struggled to access directly Requirements - 10+ years building and scaling SaaS or Cloud solutions into public sector markets, with a deep network across federal, SLED, and education that you can leverage from day one - 4+ years owning VAR and SI partnerships in the public sector, with proven experience driving joint account planning, co-sell motions, and revenue — not just relationship management - Deep familiarity with government procurement cycles, contract vehicles (e.g. GSA schedules, BPAs), and compliance frameworks (FedRAMP, FISMA, StateRAMP) - A builder mindset — experience creating partner motions from 0→1, rather than inheriting a mature programme - Comfortable working with technical, API-driven products, and able to explain complex concepts to partners and agency stakeholders Bonus: Mix of 3–4 years in direct public sector sales + 3–4 years in partnerships or channel; prior experience at a company scaling into gov-tech from a commercial base We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships. Key responsibilities - Financial Analysis: Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making - Deal Structure Optimization: Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests - Deal Review and Approval Management: Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications - Cross-Functional Coordination: Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals - Risk Assessment: Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders - Policy Implementation: Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives - Process Development: Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls - Documentation and Reporting: Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance Minimum qualifications - Experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment - Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals - Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments - Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows - Have experience with CRM systems, CPQ tools, and contract management platforms - Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail - Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Preferred qualifications - Have 5+ years of relevant experience - Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles - Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking - Experience with deal desk operations at companies with subscription and consumption-based business models - Knowledge of enterprise software contract terms and industry-standard commercial practices - Understanding of AI business models and the unique commercial considerations Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About the role As an Enterprise Sales Manager at Perplexity, you'll lead a team of Account Executives selling Perplexity Enterprise and Computer to Enterprise accounts. You'll be responsible for hiring and ramping the team, coaching sellers through complex enterprise sales cycles, and owning team revenue targets. Responsibilities - Lead, coach, and develop a team of Account Executives, providing regular feedback to drive individual and team performance - Own team revenue targets, with accountability for pipeline creation, deal execution, and forecast accuracy - Hire, onboard, and ramp new Account Executives in partnership with Recruiting and Enablement - Coach the team on outbound prospecting, account planning, and converting existing self-serve customers into Enterprise relationships - Support AEs in complex, multi-stakeholder deals, including executive alignment, technical evaluation, security review, and negotiation - Run a regular cadence of 1:1s, pipeline reviews, and deal reviews, maintaining accurate Salesforce data and forecasts - Partner with Enablement, Product, Marketing, Customer Success, and RevOps to translate field feedback into action You may be a good fit if - 7+ years of enterprise software sales experience, with 3+ years directly managing quota-carrying Account Executives - A track record of meeting or exceeding team revenue targets in a high-growth environment - Experience hiring, ramping, and developing sellers - Experience coaching teams to generate their own pipeline through outbound and account-based prospecting - Strong command of Salesforce, pipeline management, and forecasting - Background selling technical products, ideally AI, data, or infrastructure - Comfort operating without an established playbook

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for a highly motivated Events Lead to own planning and execution of ElevenLabs' flagship events. Your work will deepen ElevenLabs' brand presence, create high-impact moments with customers and prospects, and generate high-quality pipeline in partnership with our GTM teams. You'll own the full lifecycle of our flagship owned events - summits, experiential activations, marquee sponsorships, and signature brand moments. This role is focused on our flagship event portfolio, distinct from regional field marketing and third-party conference attendance. What you'll do - Develop and execute flagship event plans aligned with business objectives across key markets - Own owned/branded flagship events, and marquee sponsorships (e.g. F1, major industry summits) end to end - Collaborate cross-functionally with sales, marketing, product, and GTM teams for seamless execution - Analyze event performance and provide recommendations for future improvements - Build and maintain relationships with sponsors, partners, agencies, and production vendors across North America Requirements - 8+ years events experience, with at least three in tech/enterprise flagship event marketing - Track record of producing large-scale, high-profile branded events end to end - Deep knowledge of the tech ecosystem and executive/enterprise audiences - Experience working with premium event agencies and production partners - Based in NYC or SF preferred LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About the team Special Situations builds and grows new businesses, capabilities, and first-of-kind or highly strategic partnerships for OpenAI. We take on opportunities with meaningful upside where the offering, commercial model, partnership structure, or delivery approach still needs to be developed. We bring together commercial judgment, operating experience, and industry expertise to turn these opportunities into results. Our work spans first engagements, expansion into new markets, and longer-term businesses and partnerships that we help build and scale. About the role We’re hiring a Deal Lead to develop and execute some of OpenAI’s most consequential commercial opportunities. You’ll identify where our capabilities can create meaningful value, shape what we offer and how we bring it to market, structure and negotiate partnerships, and drive the work from an initial thesis through launch and growth. You’ll work closely with Product, Research, GTM, Finance, Legal, and delivery teams to connect customer needs, technical capabilities, and viable economics. This is a hands-on role: you’ll drive the commercial strategy and execution. In this role, you will: - Identify and develop high-value opportunities across industries, markets, and emerging capabilities, translating customer needs into concrete AI use cases and commercial opportunities. - Shape new offerings and business models: define who we serve, what we offer, how we price it, and how we bring it to market. - Originate and grow customer and partner relationships, building executive alignment around the opportunity, desired outcomes, and path forward. - Work with FDEs, researchers, Product, and GTM teams to prioritize use cases and define scope, success criteria, resourcing, and a viable delivery approach. - Structure and negotiate complex partnerships, including revenue sharing, royalties, outcome-based pricing, and other non-standard commercial arrangements. - Drive executive-level decisions on strategy, economics, resourcing, and risk, keeping internal teams and external partners aligned as the work evolves. - Drive commercial outcomes beyond signature, including launch, adoption, revenue, viable economics, and expansion. - Build on early successes to develop repeatable offerings and partnerships, continuing to lead strategic relationships or establishing clear ownership as they scale. You may thrive in this role if you: - Have significant experience in business development, partnerships, corporate development, private equity, or founding roles where you personally led complex commercial opportunities from concept through execution. - Have originated, structured, and closed significant deals—and stayed accountable for what happened after signing. - Can turn an ambiguous opportunity into a clear commercial thesis, prioritized use cases, viable economics, and an executable plan. - Bring strong commercial and financial judgment, including experience designing pricing, evaluating business models, and negotiating terms that align incentives. - Learn unfamiliar industries quickly and bring relevant domain expertise, with an understanding of how sophisticated customers buy, partner, and deploy technology. - Work effectively with FDEs, researchers, engineers, and product teams to connect technical capabilities with customer value and realistic delivery commitments. - Build executive alignment across organizations, communicating opportunities, risks, and tradeoffs clearly and driving decisions when priorities differ. - Are equally comfortable shaping strategy and doing the hands-on work: customer discovery, financial modeling, proposals, negotiations, and resolving execution blockers. - Create structure and accountability across cross-functional teams without relying on formal authority. - Exercise sound judgment under uncertainty, adapting as evidence changes and recognizing when to invest more, change course, or walk away. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Scale is building reliable AI systems for the world’s most important decisions. Our products help leading enterprises, governments, and frontier AI labs build, deploy, and evaluate AI systems at scale. The Orchestration Platform is a core technology used across the company to run durable, reliable, and scalable workflows. It powers the complex, long-running processes behind Scale’s products - from data and model-evaluation pipelines to operational systems and customer-facing workflows. As a Senior Software Engineer, you will help build and evolve this foundational orchestration platform. You will design the primitives, services, and developer experience that enable teams across Scale to author, operate, observe, and safely scale distributed workflows. This is a high-leverage role for an engineer excited by distributed systems, reliability, and platform infrastructure used by many internal teams. You will: - Lead the architecture, design, implementation, and operation of Scale’s core orchestration platform. - Build durable workflow infrastructure using technologies such as Temporal, Cadence, Kubernetes, and cloud-native systems. - Define platform primitives and APIs for scheduling, retries, state management, task execution, observability, and workflow lifecycle management. - Partner with product, infrastructure, data, and application teams to understand workflow needs and turn them into reusable platform capabilities. - Improve the reliability, scalability, security, and developer experience of services that run critical company workflows. - Establish technical standards and best practices for distributed workflow development, deployment, testing, and incident response. - Drive cross-functional technical decisions and communicate platform direction clearly to engineers and stakeholders. Ideally, you have: - 5+ years of full-time software engineering experience, with a focus on backend, infrastructure, and distributed systems. - Experience building and operating production systems with strong requirements for reliability, availability, and scale. - Deep familiarity with workflow orchestration platforms such as Temporal, Cadence, AWS Step Functions, Kubernetes, or similar systems. - Deep familiarity with Kubernetes and containerized production environments, and familiarity with Terraform, Docker. - Strong knowledge of distributed-systems concepts, including asynchronous execution, retries, idempotency, fault tolerance, state management, and observability. - A track record of leading technically complex projects from design through rollout and ongoing operation. - Excellent communication skills and the ability to collaborate effectively with platform consumers and non-technical stakeholders. Nices 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.

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 AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate. We are looking for a Community Engagement Manager in Louisiana to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations. You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand. You will travel regularly within Louisiana, up to 50% of the time, and occasionally to other Anthropic data center markets. Key responsibilities - Build and maintain trusted, sustained relationships with parish presidents and councils, police juries, mayors and municipal officials, parish planning and zoning bodies, port, levee, and drainage districts, state economic development agencies, community groups, civic leaders, educational institutions, and workforce partners in the Louisiana data center markets you cover - Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations - Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate - Represent Anthropic in public forums, town halls, planning hearings, community events, and local media - Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement - Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced - Work with the Communications team to develop proactive, locally relevant messaging - Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships - Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use, including flood risk, storm resilience, and how large electricity needs are served by local utilities - Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows Minimum qualifications - Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field - Direct experience working for or engaging with parish and municipal governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out - A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations - The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews - Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to - The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them - Based in Louisiana or willing to relocate there, and prepared to travel regularly across the state Preferred qualifications - 7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government - Familiarity with land use, zoning, and permitting processes at the parish and municipal level, including local review of industrial tax incentives - Experience in communities with a long industrial, energy, or port presence, and an understanding of coastal, flood, and hurricane resilience concerns - Experience managing corporate social responsibility programs - Established relationships with economic development, workforce, or civic organizations in the markets this role covers - Experience working with real estate, legal, communications, and policy teams at the same time - Experience engaging with Tribal nations in Louisiana, including familiarity with consultation processes and Tribal sovereignty - A genuine interest in the communities where you work, not just the projects you are managing 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 - $295,000 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.