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About the Team Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organizational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem. Our systems are the front door to OpenAI—held to an exceptionally high bar for availability, security, and latency—and are depended on by many internal teams. About the Role As an Engineering Manager, Identity Platform you will lead a team owning foundational identity services that must be highly reliable, secure, and fast under extreme load. You’ll set direction, grow and support the team, and partner closely across engineering and security to strengthen the platform that enables trusted access to OpenAI products. In this role, you will: - Build, lead, and develop a high-performing engineering team. Coach and mentor engineers and senior technical leads to increase their impact and support their growth. - Define and own the technical strategy, roadmap, and execution for OpenAI’s core identity systems. - Guide the architecture of distributed systems operating at massive scale, with high requirements for reliability, privacy, and performance. - Partner closely with Product and Infrastructure teams to support new product needs and uphold high system standards. - Ensure the team operates effectively, maintains strong engineering rigor, and consistently delivers against ambitious goals. - Establish processes and a culture that enable fast learning, high trust, and responsible innovation. - Lead the team responsible for the authentication stack and token exchange infrastructure, ensuring high availability, strong security posture, and low-latency performance. - Own and improve request validation at the edge for logged-in users, delivering extremely high reliability and fast validation under high throughput. - Oversee systems that enable secure access to user data, improving scalability, reliability, and access patterns for internal consumers across the company. You might thrive in this role if you: - Have 10+ years of experience building, scaling, and operating distributed systems at large scale. - Have 3+ years of experience managing high-performance engineering teams in fast-paced, rapidly shifting environments. - Care deeply about people leadership, coaching, and helping engineers achieve peak performance. - Communicate clearly, think holistically, and make decisions grounded in both user needs and long-term sustainability. - Have experience managing an infrastructure team and are effective at hiring, coaching, and developing engineers while maintaining strong operational excellence. - Have deep experience building and operating high-scale backend systems, with a track record of improving reliability, latency, and security in production. - Bring broad infrastructure expertise across the stack—from hardware and cluster management to services and storage layers. 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.

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! About the role We're hiring a Chief of Staff to keep Cohere's AI organization running at full speed. You'll report to and support the Chief AI Officer and work to bridge across all teams and functions at Cohere (including research, modelling, product, delivery, security, sales and operations). In any given quarter, the org ships new AI product demos and releases, customer pilots and scaled solutions, security updates, often across regions and time zones. Your job is to make sure the right work priorities win when everything feels urgent, that our plans turn into high-quality shipped work, and that our Chief AI Officer can focus on leading instead of firefighting. Much of this is operational: the planning calendar, the budget, the headcount plan, the weekly business reviews, the communication strategy (internal and external), the cross-functional handoffs. Your role is the operating rhythm of the org: meetings, priorities, plans, and the decisions that come out of them. You will be a member of an experienced, high-performing and supportive leadership team. What you'll own Own the operating rhythm and planning: annual and quarterly planning, goal-setting, and the weekly and monthly business reviews. Drive budget and headcount planning against the slate, and keep both honest as priorities shift mid-quarter. Keep major programs from colliding or stalling across research, modelling, product, delivery, and security. Be the person teams come to when it isn't clear who owns a decision, or how to navigate trade-offs. Be the connective tissue between the Chief AI Officer’s org and the rest of the company: cross-functional planning with product, engineering, security, and finance, so the org's commitments are realistic and its dependencies are visible. Own and lead special projects: Lead the things that don't fit neatly on any one team's plate: a reorg, a new partnership, a flagship research event, an org-wide planning week. Own them end to end. Who you are You have 12+ years of operating experience, with real time inside an AI/ML organization in a Chief of Staff, business operations, or senior program-operations seat. You know how to partner with teams shipping fast & often to high-stakes organizations, and you know how to change course with agility when needed. You understand how AI actually works—at the level of someone who's done it rather than managed it from a distance. You can talk credibly about how a model turns into a product, what data requirements demand from both research and engineering, and where delivery motions usually break. You're fluent in the numbers. Model performance metrics, data pipeline throughput, budget-to-impact. You don't have to run every program yourself. You do have to understand them well enough that the people who run them respect your judgment. You hold strategy and execution in the same hand. You can sit in a planning conversation with the Chief AI Officer in the morning and chase down a stuck deliverable in the afternoon. You thrive in a fast-paced environment, you handle ambiguity with curiosity and confidence, you stay calm when it's messy. You have a track record of bringing order to a fast, complex org without grinding it to a halt. You are an outstanding communicator and know how to wield soft power. Clear writing, straight talk, the ability to influence teams and individuals, and the executive presence to represent the Chief AI Officer in high-stakes conversations. 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 the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale commercial offerings by overseeing billing operations, deal desk, revenue systems, revenue accounting, and controllership. We work cross-functionally with Product, Engineering, Go-To-Market, Tax, Legal, and Technical Accounting to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows. About the Role This senior leader will own key elements of Ads revenue accounting from technical assessment through operational execution. The role will guide accounting for products, pricing, contracts, incentives, credits, refunds, makegoods, international expansion, and new go-to-market motions. It will establish governance and translate approved accounting positions into launch, billing, data, close, reconciliation, and control requirements. Success requires deep technical revenue expertise, strong business partnership, and the ability to build durable 0-to-1 processes in a fast-changing environment. Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently. This role can be based in San Francisco 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: - Lead technical accounting assessments for Ads products and commercial arrangements, including performance obligations, variable consideration, allocation, principal-versus-agent, collectibility, contract modifications, refunds, incentives, credits, makegoods, and revenue presentation. - Own and continuously evolve Ads revenue accounting policies and operating guidance as product behavior, pricing, contracting, incentive programs, and billing models change. - Establish governance for new products and accounting decisions, including intake, decision rights, materiality and escalation thresholds, launch approvals, policy versioning, decision logs, and post-launch monitoring. - Translate accounting conclusions into clear requirements for product design, contracting, billing, data, estimates, close, reconciliations, controls, and reporting. - Own the operating cadence for incentive and makegood accounting, invoice readiness, accruals and reserves, settlements, reconciliations, GL tie-outs, flux analysis, reporting, and control evidence. - Partner with Ads Product, Engineering, Data, Finance Engineering, Sales, Deal Desk, Legal, Tax, Billing, and Technical Accounting on launches, enterprise negotiations, and international expansion. - Prepare concise technical memos and audit-ready support; align novel or material conclusions with Corporate Technical Accounting and external auditors. - Use data, AI, and automation to improve research, monitoring, policy maintenance, issue tracking, documentation, and repeatable Finance workflows with appropriate review controls. You might thrive in this role if you have: - 10+ years of progressive experience in revenue accounting, including direct ownership of complex ASC 606 judgments and operational execution. - Demonstrated leadership to independently set direction, prioritize across competing risks, and influence senior cross-functional stakeholders. - Experience with digital advertising, adtech, marketplaces, payments, usage-based services, or another high-volume transaction environment. - Strong command of variable consideration, principal-versus-agent, contract modifications, incentives and credits, collectibility, estimates, and revenue presentation. - Track record building 0-to-1 accounting processes, governance, close mechanisms, reconciliations, and controls that scale. - Ability to turn technical conclusions into practical product, contract, billing, data, and operating requirements. - Clear, concise written and executive communication, including audit-ready documentation and evidence-based recommendations. Preferred Qualifications: - Experience supporting global launches, multiple currencies, international contracting entities, intercompany considerations, or localized billing models. - Experience applying AI or automation within Finance while maintaining review, validation, and control standards. - Experience partnering closely with Product, Engineering, Data, or Finance systems teams. - Experience developing or leading high-performing accounting teams or distributed operating groups. - Background in public-company controllership, technical accounting, audit, or similarly rigorous control environments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Endpoint team (Client Platform Engineering) treats Anthropic's device fleet as a platform we build and run. We run our own MDM as a production service and manage every piece of device configuration as code. Policies, configuration profiles, queries, remediation scripts, and software all ship through pull requests, CI, a staging environment, and a canary group before they reach the fleet. The fleet is mostly macOS, plus a small number of Linux machines and a growing mobile footprint. You'll own that platform end to end: the infrastructure underneath the MDM, the configuration on top of it, the patching and software pipelines that keep thousands of devices patched and secure, and the telemetry that tells us what is actually true on every device. You'll also build automation that cuts down on manual operational work. You'll work with Security teams on hardening, compliance controls, and detection and response, and with developer and infrastructure teams to make sure those controls don't get in the way of their work. Your work will let us base access decisions on whether a device can be trusted. We value people who double check a compliance report before they believe it. The team is deliberately lean and runs with high autonomy. You'll help define the endpoint roadmap, make architecture decisions, and own the platform every Anthropic employee's work runs on. You'll also help us meet the security standards our Responsible Scaling Policy requires as models advance. Responsibilities - Own endpoint configuration as code: author, review, test, and progressively roll out MDM policies, configuration profiles, and remediation scripts across macOS and mobile, with canary stages and rollback built in - Operate the MDM platform itself as a production service, including infrastructure as code, observability, upgrades, and incident response - Build patch management automation with rapid enforcement timelines while maintaining good user experience - Design zero touch provisioning that turns a sealed box into a productive machine on day one - Support a small number of Linux machines alongside the Mac fleet - Turn fleet telemetry into policy, dashboards, and early drift warnings, and use Claude to automate manual ops work - Partner with Corporate Security on endpoint hardening, binary authorization, and compliance controls - Take shifts on the team's rotation for incoming requests and escalations, and serve as the deep escalation tier for endpoint issues IT Operations can't resolve You may be a good fit if you - Have 8+ years building secure IT systems in complex environments, including leading projects across multiple teams - Have managed endpoint fleets of thousands of macOS devices through a modern MDM - Treat endpoint configuration as code that is version controlled and peer reviewed, rather than clicking in consoles - Go deep on macOS internals such as launchd, configuration profiles, TCC, and system extensions - Write Python and shell scripts - Write design docs and runbooks so teammates can review and support what you build Strong candidates may also have - Have operated an MDM or device management platform as a service, not only consumed one as SaaS - Have worked with open source endpoint and device management tooling (Munki, osquery, AutoPkg) - Have built automated, progressive rollout systems with promotion gated on telemetry - Have experience running infrastructure as code in a public cloud - Have working knowledge of Linux administration (packaging, systems, config management) - Have used LLMs to automate ops work Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals together in one lab. Our Go To Market (GTM) team helps customers understand and deploy our highly capable AI products across their businesses. Sales, Solutions, Support, Marketing, and Partnerships work together to bring AI to as many users as possible. About the role As an Account Director, Large Enterprise — Cybersecurity, you’ll work with some of our largest cybersecurity customers, winning new business and expanding adoption within existing accounts. You’ll help these organizations apply AI across their products, security workflows, and business operations. This role combines cybersecurity industry knowledge, technical understanding, executive engagement, and ownership of complex enterprise sales. You’ll create demand, develop opportunities, and lead deals from initial engagement through negotiation, deployment, and expansion. You’ll help executives identify where AI can deliver meaningful value and build a practical path to realizing it. We’re looking for someone with a hunter mentality and a strong track record in the cybersecurity ecosystem. You’re comfortable engaging CISOs, CIOs, CTOs, product leaders, and other business executives, bringing commercial and technical stakeholders together around an enterprise AI strategy. Success means both winning business and helping customers turn their commitments into sustained adoption and consumption. This role can be based in our San Francisco, New York City, or Seattle offices. We are also considering applications to work remotely from within the U.S. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you’ll: - Own a portfolio of large enterprise cybersecurity accounts, developing strategies that drive new business, enterprise adoption, and expansion. - Create demand through proactive prospecting, executive outreach, and a deep understanding of each customer’s business strategy, product roadmap, and security priorities. - Own complex deals end to end, including opportunity development, qualification, business case creation, technical evaluation, negotiation, and close. - Help executives identify opportunities to apply AI across cybersecurity products and workflows, such as security operations, threat analysis, incident response, and security engineering, in partnership with technical specialists. - Build relationships across security, engineering, product, business operations, and procurement teams, connecting stakeholders around shared goals. - Partner with solutions engineering to translate technical capabilities into customer programs with measurable business outcomes. - Navigate customer requirements around data privacy, sensitive security information, governance, and deployment, engaging the appropriate technical, security, and legal partners. - Win initial deployments and expand successful use cases across teams, business units, and geographies. - Own a consumption revenue target, partnering across the customer lifecycle to turn signed agreements into production usage and sustained growth. - Maintain rigorous account plans, opportunity management, and revenue forecasts, taking responsibility for advancing opportunities and resolving obstacles. - Bring cybersecurity customer and market insights to Product, Engineering, and GTM teams to inform our roadmap and approach. - Help build the processes, practices, and culture of a growing sales organization. We’re seeking someone with experience including: - 14+ years selling complex platform-as-a-service and/or software-as-a-service products to large enterprise customers, with substantial experience in cybersecurity. - Demonstrated success winning new customers and expanding existing accounts within the cybersecurity ecosystem. - A strong understanding of cybersecurity buyers, enterprise security workflows, and the commercial priorities of cybersecurity companies. - Generating pipeline and creating demand through proactive account development, including opportunities where the customer has not yet defined a project or allocated budget. - Designing and executing complex deal strategies with multiple decision-makers, technical requirements, security reviews, and procurement processes. - Selling across business units and functions, building support beyond a single buyer, team, or use case. - Working directly with C-level executives, including CISOs, CIOs, and CTOs, to connect technology investments to business strategy and measurable value. - Selling technically complex products in close partnership with engineering and solutions teams. - Navigating enterprise requirements related to data security, privacy, governance, and risk management. - Leading enterprise transformation opportunities from early discovery through deployment, adoption, and expansion. - Managing consumption-based revenue models, including forecasting usage, driving adoption, and identifying opportunities for growth. - Succeeding in fast-growing environments that require independent judgment, initiative, and accountability. You might thrive in this role if you: - Have a hunter mentality. You seek out opportunities, open doors, and build demand. You’re motivated by winning new customers and uncovering opportunities within established accounts. - Understand the cybersecurity landscape. You can engage credibly with security and product leaders, understand their priorities, and distinguish promising AI applications from those that require further evaluation. - Take ownership. You drive progress at every stage of a deal, set clear next steps, bring the right people together, and stay accountable when the path forward is unclear. - Can guide an executive journey. You meet leaders where they are, challenge their thinking thoughtfully, and help them develop a concrete vision for AI adoption. - Are customer-centric and commercially driven. You connect customer outcomes to durable growth and stay engaged as customers move from purchase to adoption. - Are technically curious. You enjoy understanding complex products and can explain their capabilities, limitations, and business implications to technical and nontechnical audiences. - Exercise sound judgment. You recognize the sensitivity of security use cases and work with the right partners to address customer requirements and support responsible deployment. - Think across the enterprise. You connect business units, build relationships across functions, and turn an initial use case into a broader adoption strategy. - Are a builder. You make sound decisions with incomplete information and help establish practices that allow a growing team to succeed. - Have a passion or deep curiosity for AI. You’re excited to help cybersecurity organizations deploy AI thoughtfully and deliver value to their businesses and users. 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 As Claude's capabilities grow, so does our responsibility to ensure those capabilities reach the right people. The Access Programs team builds the systems that verify who our customers are, grant access to advanced model capabilities for approved use cases, and ensure that access is not misused. As a software engineer on this team, you will build the identity, vetting, and access management infrastructure that underpins our trusted access programs, along with the monitoring and enforcement tooling that keeps them safe. This work sits at the center of how Anthropic deploys frontier capabilities responsibly, balancing broad access with rigorous safeguards. Responsibilities: - Build identity verification and vetting systems (KYC/KYB) that establish who our individual and business customers are - Design and implement access control systems that grant, scope, and revoke access to advanced capabilities based on approved use cases - Build infrastructure to configure safety systems and detection thresholds on a per-customer basis for trusted access programs - Develop monitoring to detect misuse of expanded access, and tooling that enables enforcement teams to act on it - Partner closely with policy, enforcement, threat intelligence, product, research, and go-to-market teams so that access decisions are well-informed and consistently applied - Build systems that identify account compromise and takeover, apply mitigations in real time, and carry affected accounts through to full remediation - Design and build the dashboards, alerting, and internal admin tooling that give the team and its partners clear visibility into the health and outcomes of our access programs - Integrate with third-party identity verification and data enrichment vendors You may be a good fit if you have: - A Bachelor's degree in Computer Science, Software Engineering, or comparable experience - Experience building and operating backend systems in production - Strong coding skills in at least one general-purpose programming language, and experience building software with AI coding tools - Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders - Care about the societal impacts of AI and want your work to make powerful systems safer Strong candidates may also: - 8+ years of industry software engineering experience - Experience building shared platforms or foundational services that many teams and products depend on, rather than one-off solutions for a single use case - A track record of working across functions (for example engineering, product, policy, operations, and go-to-market) to gather requirements, reconcile competing needs, and drive adoption of what you build - Experience with identity, authentication, or authorization systems at scale - Experience with KYC/KYB workflows or identity verification vendors - Experience in trust and safety, integrity, fraud, or abuse detection - Experience detecting and responding to account takeover or credential compromise - Experience partnering with operational teams to build custom internal tooling 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 Partners Solutions Architect on Anthropic's Applied AI team, you'll be a pre-sales architect focused on building technical relationships with our Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS and GCP). You'll strengthen these relationships to accelerate indirect revenue, enable partners' AI practices, and execute our long-term go-to-market strategy. Responsibilities - Strategic technical partnership: Act as a technical thought partner to the Anthropic GTM partnerships team. Bring technical expertise to help us understand the partner landscape, drive key strategic programs, and find ways to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, and evangelize Anthropic in their developer communities. You'll also serve as an escalation point for complex technical issues. - Joint solution development: Work with partners to identify high-value, industry-specific GenAI applications, develop joint solutions, and codify reference architectures and best practices that speed time to deployment. - Customer deal support: Step in to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. - Partner ecosystem and events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. - Product feedback: Gather and validate feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns. Deliver it to the relevant Anthropic teams to inform the product roadmap and partner strategy. You may be a good fit if you have - 5+ years in technical customer-facing or partner-facing roles, such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account Manager - A track record of partnering successfully with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery - Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders, including C-suite executives and engineering and IT teams - Strong presentation and technical communication skills, with the ability to translate requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiarity with common LLM frameworks and tools, or a background in machine learning or data science - Enthusiasm for cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - A passion for using technology in ways that are safe and beneficial, and that advance the goal of safe AI systems 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: £150,000 - £190,000 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's Corporate Systems team runs the core collaboration platforms everyone here works in and builds the tooling and automation behind IT. That responsibility extends to the companies we acquire. Their people, devices, and systems have to come into Anthropic securely. You'll own the IT side of Anthropic's acquisitions: due diligence, integration planning, and integration. Before close, you'll assess a company's IT environment and give the deal team a clear read on risk and effort. You'll define the technical integration plan and its requirements: what moves, where it lands, in what order, what has to be ready on day one, and how each security gap gets closed. After close, you'll carry out that plan and bring the company's people, devices, and systems onto our stack. This is a hands-on engineering role. You'll hold admin, write code, build automation, run the cutovers yourself and bring in other teams when the work calls for their expertise or support. You'll lead this work for IT Engineering and partner with Security, Corporate Development, Legal, People, and Finance at every stage. M&A will be your primary focus and responsibility, but you'll be a full member of the Corporate Systems team; taking part in planning and reviews, using and contributing to the team’s tooling, and contributing to the roadmap. Early on, M&A will be most of your work, including using Claude to automate the repeatable parts of diligence and integration. As that automation matures, and when M&A load is light, you'll contribute to other parts of the team’s roadmap. Responsibilities - Lead technical IT due diligence: assess a company's identity, applications, endpoints, and infrastructure, and brief the deal team on risk and effort before close - Find the gaps between an acquired environment and Anthropic's security model, rate them, and build the mitigations into the integration plan - Define the technical integration plan and its requirements: what moves, where it lands, in what order, and what has to be ready on day one - Run the integration: take over administration, migrate people, devices, and data, and retire what's no longer needed, with support from other IT Engineering teams as required. - Work with Business Technology, Client Platform, Corporate Network, IT Operations, and Security on their parts of each integration - Keep Corporate Development, Legal, People, Finance, and the acquired company's team clear on where IT stands - Build a repeatable IT M&A playbook and automate as much of it as possible with Claude - When M&A work is light, contribute to core Corporate Systems projects You may be a good fit if you have - 8+ years as a hands-on engineer in corporate IT. You have designed and shipped systems, carried out migrations or integrations yourself, and owned at least one area end-to-end, with experience supporting other areas: identity, applications, endpoints, or corporate infrastructure - Experience administering enterprise identity and collaboration platforms such as Google Workspace, Slack, and an SSO provider, and working code in Python or similar against their SaaS APIs - Working knowledge of endpoint management and security concepts, enough to lead diligence on an unfamiliar fleet - A proven ability to understand an unfamiliar IT environment quickly and deliver a prioritized view of risk to non-specialists - A record of leading technical projects that span several teams and run to a fixed date, while doing much of the engineering yourself - Comfort working autonomously, with ambiguity and confidential information - Clear communication with executives, legal and corporate development teams, and engineers at acquired companies Strong candidates may also have - Prior M&A, carve-out, or company-to-company migration experience - Experience across the full stack: endpoints, systems, applications, and infrastructure - Hands-on experience managing a device fleet or running an MDM - Experience working in or alongside a security team - A record of building tooling that replaces manual IT work - Using Claude or similar tools as a core part of how you work Representative projects - Assess an acquired company's IT environment that nobody here has seen and produce a prioritized integration plan within days - Design a way to size integration effort and risk for a company of any shape or size - Automate bringing acquired people and devices onto Anthropic's identity and device management - Write the IT risk memo for a live deal and present it to Corporate Development and Security leadership 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: $325,000 - $360,000 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 OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role This role is part of our APAC Mid-Market team which will own both named account pursuits and executing programmatic sales via OpenAI partners. You’ll be a key driver of writing the playbook for Mid-Market in APAC as an AI Native Sales team. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in Seoul, South Korea and we operate in a hybrid model of 3 days in the office. In this role, you'll: - Manage a portfolio of accounts, developing and executing strategies for a comprehensive regional go to market plan. - Win lighthouse accounts through outbound sales outreach. - Partner with solutions and research engineering to build and execute complex customer programs and projects. - Own a consumption revenue target. - Manage consumption revenue forecasts. - Support the recruitment and onboarding of other teammates. - Support the development of company culture. We're seeking someone with experience including: - 7+ years of direct selling experience in Data and AI or Cloud. - Designing and executing complex go to market strategies. - Orchestrating programmatic sales motions with partners. - Experience operating in fast paced, high growth environments. - Working directly with c-level executives. - Leading high-visibility customer events (CAB, conferences, product launches, etc.). - Hands on experience with AI tools. You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. - Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. - Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK We're looking for a Staff Data Scientist to be the technical lead across Ripple's diverse product and business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company. In this role, you'll partner with product and business leads to frame the most important questions, set the analytical bar, and ensure decisions across surfaces rest on a consistent, thorough foundation. You'll operate as a force multiplier -- solving the hardest problems, building the frameworks others reuse, and leveling up data scientists across teams. WHAT YOU'LL DO - Be the DS tech lead across multiple product and business teams: setting methodological standards and unblocking the hardest analytical problems across areas including Payments, Stablecoin & Custody products. - Partner with product and business leads to define analytics strategy : shaping which initiatives to invest in, what success looks like, and how we'll know. - Build the scientific frameworks Ripple reuses at scale : product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces. - Pioneer AI-accelerated analytics : applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration for non-DS partners. - Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity, surfacing the causal drivers behind adoption and volume. - Define and communicate the metrics leadership runs on : translating complex results into clear narratives for Ripple executives and external stakeholders. - Raise the bar for the DS function through thought leadership and mentorship across embedded teams. WHAT YOU'LL BRING - 8+ years in data science or quantitative analysis, with a track record of senior level impact across multiple teams. - Demonstrated technical leadership across cross-functional teams , influencing roadmaps and strategy at both executive and execution levels. - Proven experience designing reusable analytics and measurement frameworks that scale across products. - Hands-on experience applying AI to accelerate analytics workflows (agentic analysis, AI-assisted insight generation, natural-language data interfaces). - Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment. - Expertise in Python or R, fluency in SQL, and experience with large-scale data tech (Databricks, Airflow, dBT a plus). - Experience with FinTech, payments, crypto, or blockchain data is a strong plus. - Advanced degree (MS, PhD) in a quantitative field preferred. - Exceptional communication skills — able to turn technical depth into executive-ready narratives. For positions that will be based in CA, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. CA Annual Base Salary Range $212,000 - $265,000 USD WHO WE ARE: Do Your Best Work - The opportunity to build in a fast-paced start-up environment with experienced industry leaders - A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. - Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. - In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. - Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team - We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances - Competitive salary, bonuses, and equity - Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support - Employee giving match - Mobile phone stipend Take Care of Yourself - R&R days so you can rest and recharge - Generous wellness reimbursement and weekly onsite & virtual programming - Generous vacation policy - work with your manager to take time off when you need it - Industry-leading parental leave policies. Family planning benefits. - Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our California, UK/EU, Singapore, DIFC, ADGM, Australia, and Switzerland Applicant Privacy Notice for reference.

About the Team OpenAI’s Forward Deployed Engineering (FDE) team partners with customers to turn research breakthroughs into production systems. Within FDE, the Platform team turns promising use cases into repeatable solutions to deliver at scale. About the Role As a foundational Platform Deployment Lead (DL), you’ll shape new solutions and lead them from customer validation through launch and repeatable adoption. You’ll combine product judgment with hands-on customer deployment experience to identify valuable problems and define a path to scale. You’ll also help build the function, navigating significant ambiguity to define its scope and ways of working. You’ll partner with FDEs, Product, and GTM to align the roadmap, resolve shared dependencies, and balance customer commitments with reusable capabilities. Success means measurable customer and business impact, growing adoption, and building solutions that field teams or partners can deliver without depending on the originating team. This role is based in San Francisco or New York City, with 3 days in the office per week, relocation assistance, and travel up to 50%. In this role, you will: - Define clear solutions around a valuable problem and shape the path to market. - Use customer, field learnings, and market evidence to set the next proof point, narrow scope, and recommend where to invest. - Select design partners and use pilots to test value and repeatability. - Define quality and launch criteria. - Enable field teams and partners to scope, sell, and deliver the solution using playbooks and building the support model they need. - Track adoption and establish ongoing ownership as solutions scale. You might thrive in this role if you: - Bring 5+ years of product leadership or customer-facing technical delivery experience. - Have taken technical products from discovery through production and adoption. - Translate customer workflows and deployment evidence into clear product priorities. - Can reason through integrations, data, evaluations, and enterprise deployment constraints. - Thrive in ambiguity and enjoy building new functions: creating structure where little exists, making sound decisions with incomplete information, and adapting as priorities evolve. - Build trust and drive decisions across engineering, Product, GTM, partners, and customers. - Understand technical go-to-market and enjoy building new solutions in ambiguous environments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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 hiring our first Product Enablement specialist. You will join the Product & Technical Enablement team and help our go-to-market teams get ready for every product launch, across Agents, APIs, and Creative. You will support our global go-to-market teams. Your mission: help sellers understand, demo, and sell each new launch with confidence, with preparation that starts well before launch day. What sets this role apart: we’re looking for someone who knows our products well enough to demo them and sell them. You have used agents, APIs, or creative tools hands-on, and you can explain how they work and why they matter to customers. You blend that with sales, solutions engineering, or product marketing experience, so you can teach sellers how to use a product, how to demo it, and how to pitch it. This role sits within GTM Enablement and reports to the Product & Technical Enablement Lead. You will work in close partnership with: - Product marketing and engineering teams (keeping content accurate as the platform ships) - GTM enablement (aligning on shared onboarding infrastructure) You will support product enablement for our go-to-market teams across Agents, APIs, and Creative, with the most day-to-day focus on API and Creative launches. This is a full-stack role on a lean team: you’ll build content, deliver training, design practice environments, and flex across products as needed. What you’ll do - Support new product launches: get an early heads-up from product marketing, research, and engineering, follow releases from alpha through GA, and have training ready before launch day, not the week of - Build launch workshops: go beyond what shipped and why it matters, with hands-on workshops on how to use the product, how to demo it, and how to pitch the value - Support competitive enablement: turn product marketing battlecards into trainings, simulations, and demo workshops, so sellers can answer parity, differentiation, and value questions with confidence - Support product certification: help define what “product certified” means for GTM teams, and build the playbooks and training content that raise product confidence across the whole field, not only new hires - Support everboarding and onboarding: keep training tied to new releases and capabilities, and keep content current as products ship - Craft realistic practice environments: demo certifications, role-play scenarios, and customer simulations with scored feedback, built on our own agent technology - Operate AI-natively: use ElevenLabs’ own voice and agent technology to build training and practice environments; default to AI tools to build faster, and teach others to do the same - Measure what matters: define and track the percent of sellers certified within 2 weeks of GA, demo and pitch quality scores, and win rate and stage progression against named competitors, and use the data to improve each launch Requirements We’re looking for someone who knows our products well and can teach sellers to demo and sell them. You’ll thrive here if you: - Have 4-7+ years as an enterprise seller or solutions engineer, or as a seller who moved into product marketing or enablement, at a SaaS, platform, or API-first company - Are hands-on with agents, APIs, or creative tools, and understand at a conceptual level how they work - Have demoed and pitched technical products to customers, and can explain the value, not only the features - Have a track record of teaching, mentoring, or building training, in addition to your customer-facing work - Are comfortable building a program from scratch, with no playbook to inherit - Have credibility with sellers, built from time in the seat or supporting sellers directly, and work well with product marketing, research, and engineering teams - Communicate clearly and can adapt product material for different audiences without diluting it Bonus - Experience at a high-growth AI/ML, developer tools, or API-first company - Background in voice AI, conversational AI, or contact center technology - Vertical depth in financial services, healthcare, telecom or CCaaS, or at other AI companies - Hands-on experience with competing voice and agent platforms - Experience running workshops or labs for sellers or customers - Experience building role-play, simulation, or demo practice environments Location Remote-first, globally distributed role. Expect occasional travel to team hubs and onboarding sessions. Candidates should be able to work effectively across US and European time zones. 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 team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Responsibilities: - Serve as the security policy partner for AI agent governance, authoring the policies and standards for how agents are built, deployed, operated - Define review and approval criteria when an agent may interact with sensitive or regulated data, and which actions require human approval as it relates to compliance frameworks - Serve as the GRC reviewer within existing engineering approval workflows - Define data governance requirements for agents, including least-privilege access, access reviews, and handling of regulated and sensitive data - Monitor agent behavior over time and adapt governance requirements in partnership with cross-functional security, research and engineering teams - Map agent security and data controls to AI governance frameworks (e.g., ISO 27001, ISO 42001, EU AI Act), strengthening Anthropic's certification efforts ensuring agent security is auditable - Assess and document agent-related security and compliance risks, driving them to resolution with engineering owners - Own the policy for agent-related risk acceptances and exceptions, including approval authority, duration and re-review You may be a good fit if you: - Have 8+ years in security governance, risk, and compliance, including ownership of security policies and control standards at a technology company - Have owned or meaningfully supported efforts to compartmentalize sensitive data, PII, or intellectual property, and understand how identity and access mechanisms implement or undermine protection boundaries - Think about non-human identities as a distinct risk and control category, and can design least-privilege access and accountability controls for systems acting on a person's behalf - Can reason from a threat model to a control and explain the tradeoff to both an engineer and an auditor - Have defined risk-based review or approval criteria within engineering workflows and kept them effective under high change velocity - Deliver clear, precise written work for both technical and non-technical audiences - Thrive in ambiguous environments with no settled industry playbook, where you're expected to propose the standard rather than wait for one - Are energized by being the security and risk authority who educates and influences outcomes rather than only advises Strong candidates may also: - Understand the security properties of LLM agents, whether from an AI, developer-platform, or agent-tooling company, or through comparable experience - Bring familiarity with AI governance frameworks alongside traditional security frameworks - Have adapted controls from regulated or highly sensitive environments to an open, high-trust engineering culture - Possess relevant certifications (CISSP, CISM, CRISC, CISA, CCSP, ISO 27001 or ISO 42001 Lead Implementer/Auditor) Candidates need not have: - Done everything on this list before. Very few people have governed AI agents at scale — we care more about how you reason about access, accountability, and blast radius than about a prior title. 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: $255,000 - $345,000 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 As our M&A & Equity Financing Legal Counsel , you will work directly under the Head of M&A and Finance Legal Counsel, based in Paris. In close collaboration with our Business and Finance teams, you will play a key role in structuring, drafting and negotiating Mistral’s external growth transactions and equity fundraisings. Mistral operates at the frontier of AI, where the pace of innovation demands transaction execution speed and precision that match the technology itself. You will help shape the growth and business relationships that will define Mistral’s next chapter. Key responsibilities - Draft, negotiate and advise on a wide range of M&A transactions, including acquisitions, acqui-hires and other internal or external growth projects worldwide. - Take an active part in every stage of M&A transactions: deal structuring, due diligence, negotiations, signing and closing. - Coordinate the process for Mistral’s equity fundraisings, including legal communication with prospective investors, structuring the company's due diligence disclosure, drafting investment documentation and leading the signing and closing of equity fundraisings. - Coordinate and assist on Mistral’s secondary sale transactions on behalf of investors and employees. - Draft, negotiate, and advise on transaction documentation, including LOIs, NDAs, SPAs, shareholders' agreements, investment agreements, and other ancillary transaction documents. - Collaborate with cross-functional teams, including other corporate functions. - Build internal templates, practices, and guidelines for M&A and equity financing documentation. - Support on other legal topics as needed, particularly on compliance matters related to corporate affairs. Qualifications and skills - Bachelor's degree or above (LLB, LLM or Juris Doctor preferred) from an accredited law school in France or another EU country. Admission to practice law in at least one additional jurisdiction, in particular the USA or the UK, would be a plus. - A minimum of 4–5 years of relevant legal experience, including at least 3 years at an international law firm. - Substantial experience in M&A, VC and/or equity financing transactions, including hands-on experience working on large- to mid-cap acquisitions, from due diligence through signing and closing. - Familiarity with VC/PE-type transaction documentation is highly valued: you understand complex shareholders’ agreements, management and employee incentive packages, as well as the governance dynamics of venture-backed and PE-backed companies. - Excellent written and verbal communication in both English and French, with a strong ability to present complex legal concepts clearly to non-legal stakeholders. - Knowledge and understanding of artificial intelligence technologies, including machine learning, natural language processing and their applications. - Adaptability: proactive, flexible, eager to learn and able to manage multiple priorities in a fast-paced environment. - Ethical awareness: a strong understanding of ethical considerations related to AI, such as fairness, transparency, accountability, and bias mitigation. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About the Team OpenAI’s Total Rewards team plays a critical role in attracting, rewarding, and retaining world-class talent in support of our mission to ensure artificial general intelligence benefits all of humanity. The team designs and delivers compensation and benefits programs that are competitive, equitable, innovative, and scalable, while balancing global strategy, local market dynamics, employee experience, and long-term sustainability. About the Role OpenAI is seeking an APAC Total Rewards Business Partner to lead and support compensation initiatives and provide regional benefits execution and operational support across the region as we continue to expand our global footprint. This role will serve as a key regional partner, helping translate OpenAI’s global Total Rewards strategy into programs and practices that reflect local market needs, regulatory requirements, and the evolving needs of our employees. In this role, you will partner closely with regional leadership, HR Business Partners, Recruiting, People Operations, Finance, Payroll, Legal, and external partners to design, implement, and manage compensation and benefits programs across APAC. You will operate as both a strategic advisor and hands-on practitioner, balancing global consistency with regional flexibility while maintaining a high bar for employee experience and operational excellence. This role is based in Singapore and we use a hybrid work model of 3 days in the Singapore office per week. In this role, you will: - Regional Total Rewards Partnership: Serve as a trusted Total Rewards advisor across APAC, providing strategic and practical guidance on compensation, benefits, market practices, and complex employee matters as the region scales. - Compensation Strategy & Design: Support the development and evolution of base pay structures, incentive programs, equity frameworks, and other compensation programs to ensure competitiveness, internal consistency, and alignment with OpenAI’s global compensation philosophy. - Benefits Execution & Operations: Partner with the International Benefits Lead to support the implementation and ongoing operation of APAC benefits programmes, aligned with agreed priorities and programme designs. Provide regional support for benefits rollouts, vendor coordination, employee communications and operational issue resolution, and surface local insights to inform programme decisions. - Market Benchmarking & Insights: Lead compensation and benefits benchmarking and market analysis across APAC, translating external market developments, regulatory changes, and regional practices into thoughtful recommendations. - Offer Strategy & Pay Decisions: Partner with Recruiting and HRBPs on offer design, compensation decisions, and approvals, balancing market competitiveness, internal equity, global philosophy, and local market considerations. - Program Management & Governance: Support the effective administration and governance of regional Total Rewards programs, ensuring strong controls, data integrity, regulatory compliance, and consistent application of policies and practices. - Employee Experience & Communication: Develop clear, thoughtful communications that help employees and leaders understand and navigate Total Rewards programs, including compensation processes, benefits enrollment, and program changes. - Operational Excellence & Automation: Identify opportunities to simplify, automate, and scale Total Rewards processes and tools while strengthening data integrity, controls, and the overall operating model. You might thrive in this role if you have: - Total Rewards Expertise: 10+ years of experience in compensation, benefits, or broader Total Rewards, with meaningful experience supporting programs across multiple APAC markets. - Regional Knowledge: Strong understanding of APAC compensation and benefits practices, market dynamics, and regulatory considerations, with the ability to navigate differences across countries and cultures. - Strategic & Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data, market information, and business needs into clear recommendations. - Communication & Influence: Excellent communication and presentation skills, with demonstrated ability to advise senior leaders and navigate nuanced Total Rewards discussions across different audiences and markets. - Project Management & Execution: Strong organizational and project management capabilities, with the ability to independently manage multiple complex initiatives in a fast-moving environment. - Cross-Functional Collaboration: Proven ability to work effectively across HR, Recruiting, Finance, Legal, Payroll, Operations, and business leadership. - Operational Mindset: A strong orientation toward scalable processes, automation, data integrity, and continuous improvement, with a willingness to work hands-on through complex problems. - Adaptability: Comfort operating in ambiguity and building solutions in an evolving environment where business needs, markets, and organizational structures can change quickly. 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 As a Senior Analyst, Travel & Expense, you will run the day-to-day financial controls, audit program, and executive reporting behind Anthropic's T&E function. T&E touches every employee, every legal entity, and every executive, and it runs on Navan, Brex, and negotiated supplier agreements. Spend and transaction volume have grown several-fold in the past six quarters, and the controls need to scale to meet a public-company standard. You will report to the Head of Travel & Expense in Finance Operations and work daily with Accounting, Tax, Payroll, Talent, Security, Legal, Finance Systems and Administrative Business Partners. Responsibilities Controls & SOX Compliance - Own the day-to-day operation of key T&E controls, including approvals, card issuance and spend limits, segregation of duties, and policy exceptions, within the control framework set by the Head of T&E, who owns the overall T&E process - Maintain the T&E process narratives and risk and control matrix, and keep them current as systems and policies change - Ensure correct GL coding and complete, accurate month-end reconciliations across Navan, Brex, and Workday, and support close, flux analysis, and accruals - Act as the preparer for T&E controls and the day-to-day contact for internal and external auditors: gather and retain evidence, support walkthroughs and sample requests, and track remediation, escalating significant issues to the Head of T&E International Expansion Controls - Set up and maintain entity-level coding and approval flows in Brex and Navan as new legal entities and countries come online - Document and operationalize country-specific rules for per diems, VAT reclaim, non-USD cards, receipt requirements, and local tax treatment - Partner with Tax, Payroll, and Global Mobility to ensure compliance - Support accurate intercompany treatment of T&E costs across entities T&E Audit Program - Help design, build, and run a risk-based audit program covering sampling, anomaly detection, misuse escalation, and remediation tracking - Define and monitor pre-spend rules, duplicate and split-transaction checks, and receipt and 30-day submission compliance - Build dashboards and reporting on policy compliance, exceptions, and control performance for Finance leadership - Partner with the Head of T&E to deploy Claude to review transactions, flag policy exceptions, and automate recurring reporting Program Operations - Own day-to-day T&E operations, supporting the growing volume of travel and expense activity and platform configuration and automation, so operations keep running without pulling focus from controls - Own transaction-level review and receipt follow-up, and help shape what should be automated rather than staffed - Partner with Benefits, Payroll and Legal to ensure the T&E program is compliant with relevant local and country requirements Preferred qualifications - 7+ years of experience in travel and expense, corporate accounting, internal audit, or finance operations, ideally at a high-growth technology company - Hands-on SOX or internal-controls experience: writing process narratives, testing or operating key controls, and working with external auditors - Strong accounting fundamentals, including GL coding, account reconciliations, accruals, and month-end close support - Deep platform expertise in Navan and/or comparable TMC platforms, plus Brex or equivalent expense management tools, and working knowledge of ERP integrations (Workday preferred) - Strong analytical skills: comfort with large transaction datasets, sampling methods, and anomaly detection - Sound judgment and discretion with sensitive information, and the ability to work credibly with senior executives and their support teams - Clear written and verbal communication, with the ability to explain a control or an exception to Finance leaders, auditors, and employees - An AI-curious, builder mindset: experience automating finance workflows with AI tools, or real enthusiasm for doing so, and comfort creating structure where none exists - CPA, CIA, or equivalent certification - Experience with multi-entity, multi-currency environments, including per diem rules, VAT reclaim, and cross-border tax considerations - Experience with pre-IPO or newly public company readiness - M&A integration experience a huge 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: $190,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 professional services firms across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with consultancies, agency and marketing services groups, law firms, and accounting and advisory firms. You'll leverage your consultative sales expertise in the professional services sector to propel revenue growth while becoming a trusted partner to professional services stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in client delivery, research and analysis, and knowledge management. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with professional services 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 professional services sector. Navigate complex professional services firms 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 professional services procurement cycles, vendor risk assessment, and budgeting processes to meet and exceed revenue quotas. Analyse professional services 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 client delivery teams, creative and strategy functions, research and knowledge management, and business development. Collaborate cross-functionally to differentiate our offerings for professional services applications - Navigate complex professional services stakeholder ecosystems including executives, partners and practice leaders, IT departments, risk and compliance functions, and procurement offices to build consensus - Inform product roadmaps and features by gathering feedback from users and conveying professional services market needs. Provide insights that strengthen our value proposition for professional services - Continuously refine the professional services sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: - 8+ years of B2B Enterprise sales experience in SaaS, API solutions, or emerging technologies - A track record of managing complex sales cycles within professional services firms and securing strategic deals by understanding both technical requirements and professional services use cases - Demonstrated ability to navigate professional services organisational structures and procurement processes, building consensus among diverse stakeholders including executives, partners and practice leaders, and IT departments - Extensive experience negotiating complex agreements within professional services procurement frameworks, vendor risk and third-party assurance policies - Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various professional services audiences, from practice leads and delivery teams to senior partners - Deep understanding of professional services buying cycles, decision-making processes, and key pain points, including the client confidentiality and regulatory obligations firms operate within - A strategic, analytical approach to assessing the professional services market combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for professional services use 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: £280,000 - £330,000 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 the team OpenAI’s Legal team plays a crucial role in advancing our mission by tackling innovative and fundamental legal issues in AI. The team includes professionals from diverse legal fields—technology, AI, government contracting, privacy, IP, corporate, employment, tax, regulatory, and litigation—who collaborate closely with colleagues across the company. If you are passionate about helping bring cutting-edge AI technology to the public sector while navigating complex legal and regulatory landscapes, you’ll thrive here. About the role We’re seeking a Legal Contracts Manager to support OpenAI for Government’s growing public sector business. This role will manage a wide range of contracting activities with U.S. federal, state, and local government customers and partners. This role will partner closely with our legal, go-to-market, capture/proposals, and other teams to negotiate agreements, administer existing contracts, establish compliance mechanisms, and generally support the full lifecycle of contract performance. This role requires deep familiarity with government contracting, exceptional attention to detail, and the ability to operate with speed and sound judgment in a fast-moving environment. This position reports to our Associate General Counsel, Head of Public Sector Legal and is based in Washington D.C. This role will: - Manage the full contract lifecycle for government agreements, including NDAs, services agreements, teaming agreements, subcontracts, and order forms. - Negotiate contracts with federal, state, and local agencies and government integrators, balancing risk management with business objectives. - Ensure ongoing compliance with contract requirements, including flow-down clauses, reporting obligations, and government-specific certifications (e.g., FAR/DFARS, FedRAMP, CMMC, NIST 800-171). - Support contract pursuits and proposals , including review of RFP/RFQ terms, development of compliance matrices, and coordination of required representations and certifications. - Coordinate with internal stakeholders —Legal, Finance, Security, Capture/Proposals, and Product—to ensure contract terms align with OpenAI’s technical capabilities, pricing structures, and security/compliance frameworks. - Maintain contract records and manage data related to key terms, renewals, and deliverables. - Develop scalable contracting processes and playbooks to streamline government sales while managing legal and regulatory risk. - Monitor regulatory developments and advise on implications for government contracts and compliance programs. We're seeking someone with experience including: - 7+ years of experience in government contracting, contract management, or technology transactions, with significant exposure to U.S. federal acquisition regulations (FAR/DFARS). - JD, law degree, or relevant contract management certification (e.g., NCMA CPCM/CCCM) preferred but not required. - Active U.S. Government TS/SCI clearance. - Strong background negotiating and managing agreements with U.S. government agencies or prime contractors. - Familiarity with public sector compliance frameworks (e.g., FedRAMP, NIST 800-171, CMMC, ITAR/EAR, government data rights). - Demonstrated ability to operate with autonomy and sound judgment in highly technical, fast-moving environments. - Demonstrated experience using artificial intelligence tools to automate legal and compliance workflows. - Exceptional organizational skills and attention to detail, with experience managing complex contract portfolios. - Excellent written and verbal communication skills, with an ability to distill complex regulatory requirements into actionable guidance for business teams. - Experience working in a high-growth technology company or government integrator is a strong plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

APPLICATIONS CLOSED The general application portal has closed for 2026. We will reopen applications at some point in 2027. Thank you for your interest in Perplexity careers! Welcome! This is the general application portal for university students and recent graduates who wish to be considered for full-time Member of Technical Staff positions at Perplexity. Our elite new grad cohorts enjoy unparalleled mentorship, top-of-market compensation, and the chance to tackle some of the deepest, thorniest challenges in frontier intelligence . NOTE: if you attend one of our focus schools listed below, please do not apply via this portal as it is infrequently monitored due to high volume. Apply instead via the school-specific application portal below to ensure your application receives priority attention. Focus schools (United States) - application portals Caltech | Columbia | Cornell | CMU | Duke | Georgia Tech Harvard | MIT | Michigan | Northwestern | NYU | Penn Princeton | Purdue | Stanford | UC Berkeley | UChicago UCLA | UIUC | UNC Chapel Hill | UT Austin UWashington | Yale Focus Schools (Canada) - application portals McGill | UBC | UToronto | Waterloo Early Career Talent @ Perplexity Perplexity believes that exceptionally talented individuals at any stage can thrive in our high-velocity, high-ownership culture. Our early career talent program revolves around: - Breadth : New grads at Perplexity work across the stack, from Perplexity's agent harnesses to our AI inference and training systems. Many of our most beloved features and most important systems were shipped by individuals fresh out of school. - Depth : New grads are entrusted (and expected) to dive deep into whatever problem domains you work on. Often, your work will require you to become a world expert in some problem space that few others in the world have encountered. - Mentorship & Growth : We keep the size of our entering new grad cohorts at well below 10% of our technical team. Each individual enjoys a rich network of mentors to help them grow, and our new grads have a track record of becoming some of Perplexity's most senior and prolific team members. - Recognition : We select for the best and we recognize them accordingly. We set our early career compensation to rise well above that of top tech companies and startups. Post-hire, we aggressively recognize and reward growth in role. - Mission : Perplexity is AI for people who expect more. Our mission is to build frontier intelligence for the world's most discerning users, and each contribution you make will directly advance that mission. Academic requirements If you're not applying from a focus school listed above, we typically require you to possess the following qualifications : - GPA of ≥3.92 , averaged across all CS and Math classes; and - Grade of A or A+ in your school's upper-level algorithms course. Additional advanced coursework in areas such as systems, AI/ML, advanced math, and other rigorous subjects is highly welcome. Non-qualifying applications - evidence of exceptional ability While you're welcome to submit your application if you don't meet these criteria, we will be looking for other evidence of exceptional ability. You are encouraged to briefly describe this evidence in response to the "Anything Else" question at the bottom of the application form. Note on fellowship opportunities This portal accepts applications for full-time roles at Perplexity. Internship applications are not accepted via this portal. If you're interested in short-term opportunities with our team, you may instead be interested in the Perplexity Research Fellowship . The Fellowship has a separate application process detailed here . Note that Fellowship applications are extremely competitive; in particular, we don't expect to admit any undergraduate students to the Fellowship before their final year of study.

About the team The OpenAI for Government team brings frontier AI to public institutions to help them achieve their missions. We partner with government leaders, mission owners, and technical teams to deploy AI tools responsibly, with the reliability, security, and support needed for meaningful use. Our Federal Civilian and State & Local Government business supports public institutions across a broad range of missions. We help these customers apply frontier AI to public services, knowledge work, research, and mission operations through hands-on delivery, tailored enablement, and collaboration with their teams. About the Role The Strategic Delivery Lead (SDL), Federal Civilian & State and Local Government, will shape and deliver high-impact AI engagements across federal civilian agencies and state and local governments. You will turn customer priorities into practical deployments and sustained use, helping government leaders and mission teams apply OpenAI technology to public services, knowledge discovery, and operational workflows. This individual contributor role reports to the leader of Federal Civilian and State & Local Government. You will work alongside Account Directors and Applied AI Architects across assigned engagements, coordinating Research, Product, Engineering, Policy, Security, and Enablement resources. Account Directors own commercial strategy, contracts, and quota; you own delivery coordination, adoption, and customer outcomes, without an individual sales quota. You will lead execution across customer and OpenAI workstreams: define scope, milestones, acceptance criteria, dependencies, and success measures; surface risks; resolve blockers; and communicate progress to agency executives, program leaders, and working teams. You are accountable for agreed delivery commitments and customer acceptance. Engineering and Product teams remain responsible for technical implementation and operation of the systems they own. This is a high-trust, high-autonomy role combining senior relationship leadership with hands-on execution. Success requires sound judgment, technical fluency, strong program management, and the ability to turn executive alignment into useful technology in government teams’ hands. This role is based in Washington, DC, with domestic travel for high-value customer engagements, workshops, and delivery milestones. In this role, you will: - Build trusted relationships with senior government leaders, program owners, and technical and mission teams to identify priorities and turn senior alignment into actionable engagements. - Own delivery plans for assigned federal civilian and state and local government engagements, with clear milestones, accountable owners, customer acceptance criteria, and measurable mission or operational outcomes. - Translate customer and mission needs into requirements and decisions that engineers, domain experts, and senior leaders can act on; communicate progress, limitations, risks, and dependencies clearly. - Connect customer mission and technical teams with OpenAI Research, Product, and Engineering teams to assess promising applications and move feasible opportunities into scoped, supported projects. - Coordinate the Applied AI Architect, specialist engineers, and customer technical teams on architecture, data access, evaluation, integration, and deployment requirements. - Build sustained adoption through practical enablement, user feedback, workflow support, and repeatable playbooks that can be applied across agencies and government customers. - Lead executive reviews and focused workshops in Washington and at customer sites, bringing the right decision-makers and technical experts together to resolve issues and advance delivery. - Identify security, data, infrastructure, contractual, and resourcing risks early; work with the accountable teams to resolve them and escalate decisions promptly. - Prioritize across a small, matrixed team, make clear trade-offs, and maintain momentum as customer needs and model capabilities evolve. - Coordinate with Account Directors, policy colleagues, and partners on broader government engagement, while keeping delivery commitments aligned with available resources and approved capabilities. You’ll thrive in this role if you: - Have 10+ years of experience leading complex technical programs, customer delivery, or transformation initiatives, including substantial work with federal civilian agencies, state or local governments, or comparable public institutions. - Can meet customer-specific access requirements. An active DOE Q and/or U.S. Government TS/SCI clearance is preferred for engagements involving national security missions. - Are willing to travel domestically when an in-person engagement materially advances customer priorities, relationships, or delivery; use Washington-based engagement and remote collaboration effectively. - Understand how government executives, program owners, acquisition stakeholders, and technical teams make decisions and deliver work; navigate organizational boundaries to turn priorities into execution. - Have led complex AI/ML, enterprise software, API, cloud, scientific computing, or digital transformation engagements through implementation and sustained adoption. - Bring executive presence and a record of influencing senior government leaders, while remaining personally accountable for follow-through with working teams. - Translate mission goals into practical execution plans, acceptance criteria, and measures such as workflow adoption, staff productivity, output quality, and time to a validated outcome. - Have enough technical fluency to evaluate AI use cases, challenge assumptions, and work credibly with architects and domain experts on data integration, model evaluation, and deployment trade-offs. - Are curious about frontier AI and actively experiment with the technology to understand its capabilities, limitations, and applications to government work. - Build durable partnerships across mission teams, engineers, security teams, program owners, and executives; thrive in ambiguity and take initiative in a fast-moving environment. - See yourself as a bridge between frontier AI research and practical mission impact, with the judgment to distinguish a promising demonstration from a validated outcome. - Help customers use AI responsibly, with appropriate data protection, human review, provenance, reproducibility, and validation suited to the mission and use case. - Existing relationships across federal civilian agencies or state and local governments are valuable. Experience with DOE, national labs, NASA, or NSF is one relevant area of expertise. 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.

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped 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. Public Sector engineers build the core product including the systems required to ingest and process federal datasets that support real-time decision-making in contested environments. As a New Grad Software Engineer on this team, you will own meaningful, mission-facing work from day one: shipping features, sitting with the government stakeholders who use them, and iterating fast. Example Projects - Build multi-layered guardrails that keep agents safe and predictable in high-stakes federal environments - Optimize data retrieval for agents, including RAG pipelines over large, heterogeneous federal datasets - Build orchestration for fleets of asynchronous agents running long-horizon tasks - Develop systems that automatically alert users to deviations and anomalies in incoming data - Create interfaces that illustrate how an agent reached a decision, so operators can audit and trust its output - Develop data pipelines and ML infrastructure that make previously siloed government data sources accessible to agents - Build evaluation infrastructure that measures model reliability against mission requirements - Ship full-stack tooling that lets analysts query, visualize, and explore mission data - Deploy and harden applications into secure, air-gapped, and cloud-native government environments Requirements - A graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) - Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to users, figuring out 'what' to build and then iterating - Previous Product/Software Engineering internship experience - Track record of shipping high-quality products and features at scale - Experience building systems that process large volumes of data - Experience with Python, Typescript, React, and/or MongoDB - Strong written and verbal communication — you will work directly with government stakeholders and must be able to explain technical concepts to non-technical audiences - Comfort with ambiguity and evolving requirements, and a willingness to learn new domains quickly Nice to Have - Hands-on experience with LLMs, evaluations, or agentic systems — whether from internships, research, or personal projects - Familiarity with cloud platforms (AWS, Azure, GCP), containerization (Docker), and orchestration (Kubernetes) - Exposure to ETL, data modeling, data warehousing, or data governance - Prior experience with, or demonstrated interest in, national security, defense, or civil government technology - Open source contributions or a portfolio of shipped side projects How We Work Our credos shape how we make decisions and work as a team: - Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve - Team Flow — ideas, energy, and support move freely across teams; optimize for the whole - Quality is Our Cheat Code — the systems that deliver quality consistently are a structural advantage - Find the 20% — find the inputs that drive the outcomes and execute them completely - Write the Market — our research puts us at the frontier, and we bring our partners there first - Three Moves Ahead — consider the consequences of consequences, and plan accordingly Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of San Francisco is: $124,000 - $162,000 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 ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We are looking for a Global GTM Talent Lead to own hiring for the Revenue organization worldwide. You will serve as the CRO’s primary talent partner and lead regional Talent leaders and their teams across North America, LATAM, EMEA, UAE, and APAC. Your mandate is to bring global cohesion to how we plan, assess, and hire revenue talent, with accountability for hiring quality, speed, and predictability. This is a high visibility role: your hiring plan underpins revenue commitments to the board. - Set and deliver the global Revenue hiring strategy. Translate business priorities into clear plans for each team and region, building alignment with executive leaders, Finance, RevOps, and Talent. Partner with RevOps on capacity and headcount planning, connecting coverage, productivity, ramp, and attrition assumptions to hiring needs. Bring a clear point of view on priorities, sequencing, and achievable commitments, and adjust plans as the business changes. - Build, develop, and lead a high-performing global recruiting organization. Coach, develop, and hire regional Talent leaders, set clear expectations, and give teams the support and resources they need to succeed. Strengthen leadership capability, address performance gaps, and align recruiting capacity with business priorities. - Own hiring outcomes and the global bar for revenue talent. Partner with Revenue leaders to define excellence by role and level, and embed it in sourcing, assessment, and hiring decisions. Build the team’s ability to attract and close exceptional sellers and revenue leaders. Own delivery from hiring plan through accepted offer and start date, meeting ambitious goals for both quality and speed. - Make hiring measurably better. Build trusted relationships and a regular decision-making cadence with the CRO, senior stakeholders, and cross-functional partners. Set clear metrics, track progress, and act early on risks. Partner with Talent Ops to improve systems, tools, processes, and the use of AI, so hiring is demonstrably faster and more efficient. Requirements - You have led Talent through hypergrowth at a company that grew 3x or more in two years, owning delivery of hundreds to thousands of hires annually across multiple regions and time zones. You have maintained a high talent bar while meeting aggressive hiring goals. - You have built and led teams of recruiting leaders, with a track record of developing strong managers, improving performance, and making necessary people decisions. You lead through your teams and are fully hands on, holding yourself to an even higher standard than those around you. - You have been a trusted advisor to executives, shaping decisions and changing plans through your insight and judgment. You can credibly partner with C-Suite, RevOps, and Finance on workforce assumptions, translate them into achievable hiring commitments, and bring stakeholders into alignment. - You bring deep expertise in attracting and closing revenue talent, alongside a clear view of how recruiting should evolve. You have improved hiring speed and efficiency through better processes, tools, and data, and can articulate where AI should change the work and where human judgment remains essential. Location This role is remote-first, so it can be executed from anywhere. Preference for candidates US-East or GMT timezones. 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 The Growth team helps people discover, adopt, and become successful on Claude. Product managers, engineers, designers, data scientists and marketers work together as one team across every product and plan: Pro, Max, Team, Enterprise, as well as the API for developers. Growth marketing sits within this unified Growth team, and is responsible for performance marketing, lifecycle, and SEO. We are hiring a Growth Marketing Lead to own and scale our performance marketing efforts. This leader will define channel strategy across self-serve and sales-assisted journeys, develop programs for distinct customer segments, and own measurable impact from demand creation through customer growth. Key responsibilities - Own our global performance marketing channel strategy across all channels, including forecasting, planning, audience targeting, and budget pacing - Execute growth campaigns end-to-end across acquisition, activation, and retention, from hypothesis through launch and scale - Build campaigns and programs for consumers, developers, and businesses - Own self-serve and product-led B2B demand generation for Team, Enterprise and the API, and partner with Enterprise Marketing and GTM on sales-assisted demand - Partner closely with Data Science on incrementality, holdouts, attribution, lifetime value and payback - Drive experimentation and incrementality measurement, translating results into scalable playbooks across markets, segments, and sales motions - Work with Growth Product and Growth Engineering on top-of-funnel experiments, tracking and the marketing stack, so campaigns do not stop at the click - Work with Brand, Content and Product Marketing to get high-quality creative out much faster, and take what works in core markets international - Turn complex analysis into clear recommendations for senior leadership, shape the long-term roadmap, and lead and grow the growth marketing team Minimum qualifications - Have 10+ years in growth or performance marketing at high-growth technology companies with a self-serve or product-led motion - Have led a growth marketing function, owning the team, budget, and KPIs across multiple channels, and have been hands-on in the work recently - Have driven self-serve and product-led B2B demand generation as well as consumer growth, and have partnered well with enterprise marketing and sales teams - Are rigorous about experimentation and incrementality, can pull and check your own numbers, and can hold your own with data scientists - Reason from first principles, push through blockers and ship, and bring partner teams along while you do it - Communicate clearly in writing and can explain marketing performance to non-marketers and executives - Technical background or ability to work effectively with engineering teams - Already use AI to work faster and better, have a point of view on how it changes growth marketing, and are excited about Anthropic's mission Preferred qualifications - Have marketed to developers or other technical audiences, or worked on an AI product - Experience across both SEO and lifecycle, in addition to performance marketing - Experience working on products with dual B2C and B2B funnels - Experience working on consumer subscription businesses - Founder background The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 hiring a Workplace Coordinator to join Anthropic as the sole workplace team member in our Zurich office. You will own everything that makes the office run and everything that makes it a place people want to be — from building operations and vendor management to employee experience, events, and food and beverage programming. If you thrive as the person everyone counts on and love wearing many hats, this role is for you. We have a strong in-person presence at Anthropic, and we care deeply that every office is a place where employees feel welcome, supported, and set up to do their best work. Responsibilities Office Operations & Building Management - Coordinate with and manage vendors who handle day-to-day operations and maintenance of the Zurich office, including janitorial services, deliveries, office supplies, and building repairs - Address workplace issues promptly (elevator down, restroom flood, HVAC failure, refrigerator not cooling, etc.), engaging the right vendor and keeping colleagues informed until the issue is resolved - Conduct minor repairs and hands-on maintenance tasks; coordinate vendors for more complex work - Support HVAC, preventive maintenance schedules, and building system upkeep - Manage workstation setups for new hires and team changes, including monitors, monitor arms, and ergonomic equipment - Support office moves, restacks, furniture reconfigurations, and space planning as the team grows - Partner with Security on emergency response support and help maintain compliance with local safety codes, permits, and inspections Employee Experience & Hospitality - Own the day-to-day employee experience for the Zurich office — you are the face of the office and the first point of contact for how things work - Ensure new hires have a seamless first-day experience: desk ready, equipment set up, office tour, and a warm welcome - Manage food and beverage programming, including snacks, coffee, catering for meetings, and team meals, keeping offerings fresh and responsive to employee preferences - Monitor and proactively improve the in-office experience through regular walkthroughs, employee feedback, and observation — fix what is not working before it becomes a ticket - Respond to requests in our internal ticketing system within SLAs, providing a high level of service through clear, timely, and empathetic communication - Develop and preserve office culture, norms, and the hospitality standard that makes Zurich feel like an Anthropic office Events & Programming - Plan and execute local office events: team gatherings, holiday celebrations, milestone moments, happy hours, and visiting-executive hospitality - Coordinate with the broader Workplace, People, and Experience teams on company-wide events that have a Zurich component (All-Hands watch parties, offsites, team-building activities) - Own event logistics end-to-end: space setup, catering, A/V, vendor coordination, budget tracking, and post-event teardown - Support visiting teams and executives with workspace setup, local recommendations, and logistics - Bring a hospitality mindset to every event and meeting setup, ensuring the space is welcoming and well-prepared Cross-Functional Coordination & Process - Partner closely with People Operations, Security, the global Workplace team, IT/AV and local vendors to keep the office running smoothly - Help maintain and improve Standard Operating Procedures so that recurring processes scale as the office and team grow - Manage multiple competing priorities with clear judgment on what matters most - Surface issues, risks, and facility needs to the global Workplace team early and clearly Minimum Qualifications - Have 5+ years of experience in workplace coordination, office management, hospitality, or building operations - Have working knowledge of building systems like HVAC, elevators, plumbing, and lighting, and can supervise maintenance, repairs, and services - Bring a service-minded, solutions-oriented approach and genuinely enjoy being the person who makes things work - Have experience managing food and beverage service, catering, or hospitality programming in an office setting - Are comfortable independently managing an office — you have been the sole workplace person at a site before, or are ready to be - Enjoy rolling up your sleeves, with no task too big or too small - Have excellent organizational and communication skills, and can manage many competing priorities Preferred Qualifications - Have managed workplace projects or programs (HVAC, preventive maintenance, office moves, events) in a multi-building or high-growth environment - Have planned and executed office events, from small team gatherings to larger company celebrations - Have experience at a high-growth technology company where processes are being built in real time - Be interested in artificial intelligence and care that it is developed safely and beneficially - Have experience managing permit, license, and inspection requirements 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. Note: this job post is for Fullstack Software Engineers only. If you are a Backend Engineer, please see our Backend Software Engineer post here . About the role We are looking for fullstack software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: - Design and build the internal review tools analysts use to investigate abuse — dashboards, case queues, and evidence viewers that make high-volume, high-stakes decisions fast and accurate. - Build the interfaces where humans supervise agents: streaming output, interruption and approval flows, and clear provenance for every action an agent takes. - Surface abuse patterns to our research teams through the visualizations and exploration tools that make emerging patterns legible. - Own the frontend architecture for tools handling sensitive data at scale — performance under large datasets, correctness under real-time updates, and access controls enforced end to end. You may be a good fit if you have: - A Bachelor’s degree in Computer Science, Software Engineering or comparable experience - Proficiency in TypeScript and modern React; comfortable in Python for backend work - The ability to work across the stack - Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: - 8+ years of experience in a software engineering position, not including internships or co-ops - Have experience building data-dense internal tools or operator interfaces, not just marketing or consumer surfaces - Have experience with integrity, spam, fraud, or abuse detection and mitigation - Have experience building trust and safety detection mechanisms and intervention for AI/ML systems - Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs - Have worked closely with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Machine Learning Engineer, CX Intelligence CEE Intelligence (CEEI) is the ML and intelligence layer for Coinbase's customer engagement ecosystem, building customer intelligence, evaluation systems, routing and classification models, safety guardrails, and decisioning capabilities that power Help Center, chat, voice, agent tooling, and other customer support runtimes. As a Staff Machine Learning Engineer, you'll lead the design and delivery of production ML systems across the org, shaping technical strategy, building scalable intelligence capabilities, and partnering with product and engineering stakeholders to improve resolution quality, automation coverage, safety, and customer experience. What you'll do: - Own the design and delivery of production ML systems, applying LLMs, deep learning, graph neural networks, and classical ML techniques to solve complex customer experience problems. - Partner with leadership and cross-functional stakeholders to define strategic roadmaps and translate vision into quarterly execution plans with measurable outcomes. - Lead high-impact ML projects end-to-end, from architecture through production, managing priorities, risks, and dependencies. - Build scalable, secure, and reliable ML systems, evaluation pipelines, and data workflows using high-quality, well-tested Python code. - Mentor engineers and establish team-wide standards for design, testing, observability, and operational excellence. - Drive design reviews covering security, responsible AI, model quality, and architectural integrity, improving reliability, scalability, and latency across the stack. Required Skills and Experience: - 8+ years of experience in machine learning and software engineering, with proven success building, scaling, and maintaining production ML systems, data platforms, or analytical services. - Hands-on expertise with one or more of LLMs, deep learning, graph neural networks, gradient-boosted trees, or regression, combined with strong knowledge of NLP, information retrieval, data mining, or advanced statistics. - Strong Python skills with demonstrated ability to write maintainable, highly tested production code for ML services. - Experience mentoring engineers and raising technical standards across a team or organization, including leading design reviews and influencing technical and non-technical stakeholders. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Job #: P77568 Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $218,025 - $256,500 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .

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 Montana and Utah 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 Montana and Utah, up to 50% of the time, often over long distances, and occasionally to other Anthropic data center markets. Key responsibilities - Build and maintain trusted, sustained relationships with county commissioners, mayors and city and town councils, planning and zoning bodies, state economic development agencies (such as Montana's Department of Commerce and Utah's Governor's Office of Economic Opportunity), community groups, civic leaders, educational institutions, and workforce partners in the Montana and Utah data center markets you cover - Engage respectfully and meaningfully with Tribal governments and Native communities in Montana and Utah, recognizing Tribal sovereignty, building sustained relationships, and supporting consultation and partnership efforts related to our projects - 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 water availability and water rights in a dry climate and how rural electric cooperatives and utilities would serve large electricity needs - 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 county 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 Montana or Utah or willing to relocate to one of them, and prepared to travel regularly, including long drives, across both states 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 county and municipal level in Montana and/or Utah, and with water rights and water use questions in the Mountain West - 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 working with Tribal governments and Native communities in Montana or Utah, including familiarity with consultation processes, Tribal sovereignty and treaty considerations, or community benefit and partnership agreements - 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.

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! Adoption of AI is moving rapidly from pilots to production. Enterprises and public sector organizations are investing in generative-AI programs, creating a once-in-a-decade market inflection point. At Cohere, we're committed to transforming the enterprise landscape through strategic partnerships and innovative AI solutions. As a Partner Development Manager for Germany and the DACH Region focused on the Public Sector & Enterprise Market, you'll be at the heart of our mission to empower businesses and government entities across the region with cutting-edge AI technologies. This role is perfect for someone who thrives in a dynamic, cross-cultural environment and is passionate about driving growth through collaboration. You'll work closely with leading enterprises, system integrators, technology partners, and public sector organizations to co-create value, expand market reach, and deliver impactful AI solutions tailored to the unique needs of businesses and government agencies. Your work will directly contribute to our success. You'll have the opportunity to shape partnerships that drive digital transformation in both commercial and public sectors, foster innovation, and position Cohere as a leader in the AI ecosystem. If you're a strategic thinker, a relationship builder, and eager to make a meaningful impact in one of the world's most dynamic markets including the public sector, this role is your chance to shape the future of AI. Key Responsibilities Partner Strategy & Execution - Define and execute Cohere's partner go-to-market plan for the Enterprise & Public Sector Market, aligning with regional business objectives. - Partner with the broader GTM team to identify and recruit high-impact partners across system integrators, distributors, resellers, ISVs, cloud providers, and public sector consultancy firms. - Develop relationships with key stakeholders across the partner ecosystem, including government agencies, municipalities, and public sector institutions, to ensure partnership success. Partner Onboarding & Enablement - Lead partner onboarding, certification, and training programs to ensure partners are equipped to sell, deploy and manage Cohere's solutions effectively for both commercial and public sector customers. - Collaborate with enablement to scale partner enablement through sales and technical workshops, empowering them to deliver value to enterprise customers and government agencies. Pipeline Generation & Co-Selling - Own joint pipeline generation by creating co-sell motions, solution plays, and strategic joint go-to market motions that align Cohere's capabilities with enterprise mission needs and public sector procurement cycles. - Collaborate with partners to identify and pursue high-value opportunities in both commercial and government contracts. Business Planning & Performance Tracking - Ensure partners are aligned with Cohere's strategic goals and performance metrics, including public sector compliance and reporting requirements. - Run joint business planning sessions and quarterly business reviews (QBRs) with partners, tracking sourced and influenced ARR against targets. Partner Advocacy & Feedback - Serve as the voice of the partner within Cohere, relaying feedback to Product, Engineering, and Legal teams. - Work with Cohere's Public Policy teams to navigate government AI policies and regulations to advise partners on risk management and responsible AI best practices for the public sector. Thought Leadership & Evangelism - Evangelize Cohere's vision and solutions at partner and industry events, positioning Cohere as a leader in responsible GenAI for both commercial and public sector markets. - Build thought leadership through briefings, speaking engagements, and collaborative initiatives focused on AI in government and public services. Why You'll Love This Role This is a high-impact role where you'll shape the future of AI partnerships in both commercial and public sectors. You'll work at the intersection of technology, business, and policy, driving growth while ensuring responsible AI adoption across enterprises and government organizations. If you're passionate about building strategic alliances, driving innovation, and making a difference in one of the world's most dynamic markets including the public sector, this is the role for you. What We're Looking For - 8+ years of experience in partner development, channel sales, or alliance management within the tech industry, preferably in AI or cloud solutions, with a track record of enterprise ARR contribution and public sector partnerships. - Deep understanding of public sector organizations, government agencies, and municipal institutions, plus the enterprise market and key industry verticals. - Strong relationship-building and negotiation skills, with a track record of driving partner success in both commercial and public sector environments. - Experience and demonstrated depth with Sovereign Cloud GTM. - Ability to navigate complex regulatory and compliance landscapes, including AI ethics, government policies, and public sector procurement requirements. - Working understanding of AI (LLMs, retrieval-augmented generation, agentic workflows) and their applications in enterprise and public sector contexts. - Experience working with major system integrators, global consultancies, hyperscalers, and public sector technology partners including joint GTM and co-sell motions. - Excellent communication and presentation skills, with the ability to evangelize Cohere's vision to partners, government stakeholders, and industry organizations. - Results-driven growth mindset and bias for action. You thrive in a start-up-speed environment and enjoy building and scaling partner programs across commercial and public sectors. This role is ideal for someone who enjoys working in a dynamic, cross-cultural environment and wants to make a meaningful impact on how AI transforms both businesses and public services. The Berlin location provides access to a vibrant tech ecosystem with strong connections to European public sector initiatives and government partnerships. 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.

Scale is a cutting-edge artificial intelligence startup dedicated to revolutionizing the way businesses leverage AI and machine learning technologies. We specialize in providing high-quality training data to fuel the development of AI models across various industries. As we continue to grow, we are seeking a seasoned Workplace professional for our People Team to join our dynamic team and play a crucial role in shaping the future of AI. Job Overview: As the Head of Workplace at Scale, you will lead our global Workplace function across ~10 offices worldwide. You will own our real estate portfolio, the Workplace budget, and the day-to-day experience in every office, managing our integrated facilities management partner (CBRE) and other outsourced service providers on the ground. You will build and lead the Workplace team, partner closely with Security on safety and preparedness, and work hand in hand with our international leaders as we expand. Your work will make our offices safe, well run, cost-effective, and places people want to be. You will: Real Estate Portfolio Management: - Lead strategy, planning, and oversight of Scale’s global real estate portfolio across ~10 offices. - Manage site selection, acquisition, lease negotiation and administration, renewals, and disposition of properties, working with brokers, landlords, and legal. - Partner with International HR and business leaders to plan for growth and expansion into new markets. - Use occupancy, utilization, and cost data to decide when to grow, consolidate, or exit space. Vendor & Service Delivery Management: - Own the relationship with our integrated facilities management partner (CBRE) and other outsourced service providers across the global portfolio. - Define and manage SLAs, KPIs, and regular performance reviews to deliver a consistent, high-quality experience in every office. - Lead vendor sourcing, contract negotiations, and renewals. Budget & Financial Ownership: - Own the global Workplace and Real Estate budget, including leases, facilities operations, food and beverage, and capital projects. - Build annual budgets and forecasts, track spend against plan, and report regularly to Finance and leadership. - Find ways to reduce cost without compromising the employee experience. Workplace Experience and Food & Beverage: - Oversee food and beverage programs across all offices, including catering vendors, service models, dietary needs, and budget. - Partner with Employee Experience on events, amenities, and programs that bring people together and strengthen our culture. - Gather employee feedback and use it to keep improving the office experience. Workplace Design and Projects: - Lead office openings, expansions, relocations, and build-outs from start to finish, working with architects, contractors, and project managers. - Design flexible, sustainable, and collaborative workspaces that use technology to support how our teams work. Safety, Preparedness and Compliance: - Partner closely with Security on workplace safety, emergency preparedness, and business continuity planning. - Own health and safety compliance at each site, including evacuation plans, drills, first aid/AED readiness, and incident response procedures. - Ensure compliance with all legal, regulatory, and environmental requirements related to our offices and real estate. Team Leadership and Cross-Functional Collaboration: - Build, lead, and develop a global team of Workplace professionals, working alongside on-site vendor teams. - Partner with People, Security, IT, Finance, and Legal to set consistent workplace standards and make aligned decisions. Ideally you'd have: - Experience : Proven experience leading a global, multi-site Real Estate and Workplace function. - Vendor Management : Deep experience managing integrated facilities management partners (e.g., CBRE, JLL, Cushman & Wakefield) and outsourced service models. - Financial Management : Track record of owning and managing large, multi-million-dollar operating and capital budgets. - Real Estate : Experience negotiating leases and leading office openings, build-outs, and relocations, including internationally. - Analytical Skills : Strong analytical skills and a data-driven approach to decision-making. - Strategic Mindset : Ability to think strategically and balance cost, employee experience, and business needs. - Project Management : Excellent project management skills, with a track record of delivering projects on time and within budget. - Team Management : Experience building and leading strong Workplace teams made up of both FTEs and vendor partners. - Communication : Excellent communication and stakeholder management skills, with the ability to influence senior leaders and collaborate cross-functionally. - Adaptability : Highly adaptable approach to a fast-paced, high-growth business environment. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $171,200 - $214,000 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 As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across CEE. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, 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 enterprise decision-makers in the CEE market. Responsibilities: - Win new business and drive revenue for Anthropic within the enterprise sector across CEE. Navigate complex enterprise organizations 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 enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise 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 enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications - Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across CEE business culture and practices - Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the CEE enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers - Continuously refine the enterprise 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: - 7+ years of B2B sales experience in enterprise technology, preferably pharmaceuticals or life sciences - A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases - Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments - Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies - Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives - Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the CEE market - A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: - Competitive base salary and commission structure - Equity participation in Anthropic's growth - Comprehensive benefits package - Opportunity to shape the AI industry in CEE - Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) 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 - €310.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Legal team We're building the infrastructure that democratizes access to intelligence. By serving state-of-the-art models to enterprises and advancing open source, we enable organizations to truly own their own intelligence. Our legal team exists to make that mission possible, responsibly and at scale, because we believe broad access to AI is one of the most consequential things we can build for society. Our legal team is defined by high integrity, high character, and high trust. We're low-ego, collaborative, kind, and supportive people who are genuinely excited to be part of a team. We win together or not at all. About the role As Commercial Counsel, you'll be a foundational member of a growing legal team, serving as a trusted partner to our go-to-market organization as it scales rapidly. You'll own commercial contracting across the deal lifecycle — drafting, negotiating, and closing customer agreements — and show up confidently and credibly across the table with our customers and partners. Beyond core sales support, you'll also counsel our marketing team on sponsorship and partnership agreements, and handle standard vendor and procurement matters. This role initially reports to the General Counsel. What you'll do. - Serve as lead commercial counsel on customer contracts, NDAs, and related agreements supporting the sales organization. - Partner strategically with sales teams to structure deals, manage risk, and keep deals moving without sacrificing sound judgment. - Advise marketing on sponsorship agreements and go-to-market campaigns. - Handle standard vendor and procurement agreements. - Help build the scalable templates, playbooks, and processes a founding legal function needs. Minimum Qualifications - 9+ years of relevant experience, with a mix of law firm and in-house ideal. Experience in hypergrowth environments preferred. - A JD and membership in at least one US state bar. - Strong command of commercial contracting, able to operate independently and show up confidently in negotiations. - Comfort supporting a fast-moving, rapidly maturing sales organization, and translating legal complexity into practical guidance. - Fastidious attention to detail, excellent organizational skills, and energized by standing up process rather than inheriting it. - AI-forward, builder’s mindset, with a demonstrated ability to use AI tools to streamline daily workflows and accelerate efficiency. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, market data, and work location. Fireworks AI is an equal-opportunity employer. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

About the Team OpenAI’s Partnerships team develops external relationships that advance our research and products and expand how organizations can benefit from AI. Within life sciences, we work across pharmaceutical and biotechnology companies, AI-native discovery platforms, research institutions, and experimental labs. We partner closely with Research, Product, Engineering, Safety, GTM, Legal, and Finance to turn complex scientific, technical, and commercial opportunities into durable partnerships. About the Role We are hiring a Life Sciences Partnerships Lead to shape and execute OpenAI’s global life sciences partnership strategy. You will lead high-impact research, product, and platform partnerships across the life sciences ecosystem. You will help determine where OpenAI should invest deeply with strategic partners, where we should enable a broader ecosystem, and how research, product, safety, and commercial considerations should shape our decisions. You will bring the voice of life sciences partners into OpenAI while helping internal teams turn ambiguous opportunities into clear decisions and executable plans. This role requires scientific and commercial fluency, strong judgment, and the ability to move complex partnerships from strategy through execution and measurable impact. In this role, you will: - Lead full-lifecycle strategic partnerships, from partner strategy and executive alignment through scoping, commercial negotiation, execution, and ongoing operating reviews. - Identify and prioritize opportunities across pharmaceutical and biotechnology companies, AI-native discovery platforms, research institutions, and experimental labs. - Work closely with Research, Product, and Engineering to translate partner needs, scientific workflows, technical constraints, and market dynamics into product and program recommendations. - Partner with Legal, Finance, Safety, Research, and other cross-functional teams to structure partnerships with the appropriate data, deployment, governance, and commercial models. - Coordinate with Health, GTM, GSI/MSSP enablement, and cloud service provider partnership teams to turn strategic relationships into broader ecosystem adoption and measurable impact. - Build trusted relationships with senior executives, scientific leaders, and technical counterparts across the life sciences ecosystem. - Bring structure to ambiguous opportunities, clear blockers across internal and external teams, and communicate decisions and tradeoffs clearly to senior leaders. You might thrive in this role if you: - Have 12+ years of experience in strategic partnerships, product partnerships, business development, or general management across the life sciences and technology industries. - Bring a deep understanding of the life sciences ecosystem, including its scientific workflows, business models, incentives, and key industry dynamics. - Have led complex strategic partnerships spanning research or scientific collaboration, technical execution, commercial terms, go-to-market strategy, and long-term platform alignment. - Can engage credibly with scientific, technical, product, and business leaders and translate between their priorities. - Are an effective cross-functional leader who can drive progress through influence rather than formal authority. - Communicate clearly, think structurally, and make sound prioritization decisions in fast-moving and ambiguous environments. - Exercise exceptional judgment and integrity. 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 Sales team partners with advertisers to understand their businesses, develop meaningful advertising solutions, and drive long-term growth on the platform while maintaining strong standards for user trust and platform integrity. About the Role This role will focus on growing advertising revenue across the Financial Services vertical, including banks, credit card issuers, insurance providers, investment and wealth management firms, lending platforms, fintech companies, and adjacent financial services brands. You will own the full sales cycle—from prospecting through deal closure—and build strategic relationships with senior financial services decision-makers. You’ll help advertisers reach high-intent audiences, improve campaign performance, and develop long-term commercial partnerships that support their business goals. You will work closely with Account Managers and cross-functional partners to ensure successful advertiser outcomes after the sale, while maintaining primary ownership of revenue growth, commercial strategy, and Financial Services vertical expertise. In this role, you will: - Prospect, qualify, and close new advertising opportunities across the Financial Services vertical. - Own and achieve a defined revenue target across an assigned portfolio of financial services advertisers. - Build relationships with senior advertising, marketing, digital acquisition, product, and business leaders. - Develop account plans that connect advertiser goals—such as account openings, credit card applications, insurance quotes, qualified leads, app adoption, and customer retention—to measurable campaign outcomes. - Identify opportunities across major financial services moments, including product launches, tax season, annual enrollment periods, and shifts in consumer financial needs. - Structure and negotiate complex commercial agreements. - Build clear, data-driven business cases that demonstrate advertiser ROI and long-term platform value. - Partner with Account Managers to support seamless post-sale transitions, campaign success, renewals, and expansion. - Collaborate with Product, Engineering, Marketing, Policy, and Operations to support complex deals and inform future advertising solutions. - Partner with advertisers and internal teams to navigate industry-specific advertising, privacy, and compliance requirements. - Maintain strong pipeline management, accurate forecasting, and a deep understanding of Financial Services industry trends. You might thrive in this role if you: - Have 10+ years of experience in digital advertising, performance marketing, client strategy, consulting, or enterprise sales. - Have experience working with Financial Services advertisers, such as banks, credit card issuers, insurance providers, investment and wealth management firms, lending platforms, or fintech companies. - Have 3+ years of experience advising and influencing senior executives and client stakeholders. - Have a proven track record of owning revenue targets and closing complex advertising or commercial deals. - Understand financial services customer journeys, acquisition funnels, customer lifetime value, and performance metrics. - Have experience navigating the advertising, privacy, and compliance considerations of a regulated industry. - Can create compelling business cases and translate advertiser objectives into measurable partnership strategies. - Have strong verbal and written communication skills. - Can operate effectively in ambiguous, fast-changing environments. - Are excited to help shape a new advertising platform while maintaining high standards for user experience, trust, and responsible growth. 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. Sales Manager, Enterprise Industries As a Sales Manager at Anthropic, you'll lead a team of Enterprise Account Executives driving the adoption of safe, frontier AI by securing strategic deals with leading enterprises. You'll leverage your leadership and consultative sales expertise in the Industries sector to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering and Product teams, you'll help Industries customers embed and deploy AI while uncovering its full range of capabilities across their business. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers and ensure differentiated value across the Industries landscape. The ideal candidate will have a passion for developing people, identifying market opportunities within Industries, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Build and lead a high-performing team of Enterprise Account Executives focused on Industries, providing coaching, mentorship, and guidance to drive team success - Develop and implement sales strategies tailored to Industries procurement cycles and budgeting processes to meet and exceed team revenue quotas - Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems - Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with specific focus on Industries buying cycles and decision-making processes - Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales for industry-specific applications - Enable your team to have credible technical conversations about AI applications in Industries while maintaining appropriate guardrails - Build strong partnerships across the organization to drive strategic initiatives within the Industries sector - Identify and execute on new market opportunities and use cases for Anthropic's AI solutions across business units, research and development centers, and corporate functions - Help your team navigate complex enterprise stakeholder ecosystems including executives, business leaders, IT departments, and procurement offices to build consensus - Gather and synthesize customer feedback to inform product direction and enhance customer experience for Industries - Build and continuously refine the Industries sales methodology by incorporating learnings into playbooks and best practices You may be a good fit if you have: - 15+ years of enterprise sales experience in Industries technology, preferably driving adoption of SaaS or emerging technologies - 5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment focused on Industries in France - Proven track record of building and leading high-performing sales teams selling into large enterprises, with demonstrated success in coaching and developing AEs - Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations serving Industries - Strong technical acumen and ability to understand complex AI solutions and their applications in Industries, with experience enabling teams to have credible technical conversations with customer stakeholders - Track record of successful partnership with technical teams throughout the customer journey within large enterprises - Deep understanding of Industries buying cycles, procurement frameworks, and key pain points - Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives - Experience managing complex enterprise sales cycles and helping AEs secure strategic deals - Strong operational rigor in pipeline management, forecasting, and sales metrics specific to Industries sales cycles - Excellent communication skills and ability to build relationships across all levels, from technical and business teams to senior executives in Industries - Strategic approach to market analysis combined with tactical excellence in execution - Passion for AI technology and commitment to its safe, responsible development Sales Manager, Enterprise Industries En tant que Sales Manager chez Anthropic, vous dirigerez une équipe d'Enterprise Account Executives qui favorise l'adoption d'une IA de pointe et sûre en concluant des contrats stratégiques avec des entreprises de premier plan. Vous mettrez à profit votre leadership et votre expertise de la vente consultative dans le secteur Industries pour accélérer la croissance du chiffre d'affaires, tout en développant une équipe d'AE très performante. En étroite collaboration avec les équipes Applied AI Engineering et Produit, vous aiderez les clients Industries à intégrer et à déployer l'IA, tout en leur faisant découvrir l'étendue de ses capacités dans l'ensemble de leurs activités. En collaboration avec les équipes GTM 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 des grandes entreprises et apportent une valeur différenciée sur l'ensemble du secteur Industries. Le profil idéal a à cœur de faire grandir ses équipes, de repérer les opportunités de marché au sein du secteur Industries et de mettre en œuvre les stratégies qui permettent de les saisir. En pilotant 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 : - Constituer et diriger une équipe très performante d'Enterprise Account Executives dédiée au secteur Industries, en lui apportant coaching, mentorat et accompagnement pour assurer sa réussite - Élaborer et mettre en œuvre des stratégies commerciales adaptées aux cycles d'achat et aux processus budgétaires du secteur Industries, afin d'atteindre et de dépasser les objectifs de chiffre d'affaires de l'équipe - Établir et tenir à jour des prévisions fiables, assurer la gestion du pipeline et le reporting, tout en garantissant l'intégrité des données dans les systèmes CRM - Travailler avec l'équipe Enablement pour concevoir des programmes de formation et des ressources qui accélèrent la montée en compétence et l'efficacité des AE, avec une attention particulière aux cycles d'achat et aux processus de décision du secteur Industries - Collaborer étroitement avec les équipes Applied AI Engineering pour démontrer les capacités techniques en avant-vente et optimiser les solutions en après-vente pour les applications propres à chaque secteur - Permettre à votre équipe de mener des échanges techniques crédibles sur les applications de l'IA dans le secteur Industries, dans le respect des garde-fous appropriés - Nouer des partenariats solides au sein de l'organisation pour faire avancer les initiatives stratégiques du secteur Industries - Identifier et concrétiser de nouvelles opportunités de marché et de nouveaux cas d'usage pour les solutions d'IA d'Anthropic au sein des directions métiers, des centres de recherche et développement et des fonctions support - Aider votre équipe à naviguer dans des écosystèmes complexes de parties prenantes au sein des grandes entreprises (direction générale, directions métiers, DSI et services achats) afin de construire un consensus - Recueillir et synthétiser les retours des clients pour éclairer l'orientation produit et améliorer l'expérience client du secteur Industries - Construire et affiner en continu la méthodologie de vente Industries en intégrant les enseignements dans des playbooks et des bonnes pratiques Ce poste pourrait vous correspondre si vous avez : - Au moins 15 ans d'expérience en vente aux grands comptes dans les technologies pour le secteur Industries, de préférence dans l'adoption de solutions SaaS ou de technologies émergentes - Au moins 5 ans d'expérience en management commercial, dont idéalement 3 ans ou plus à la tête d'équipes du segment Enterprise dédiées au secteur Industries en France - Une expérience confirmée de la constitution et de la direction d'équipes commerciales très performantes vendant aux grandes entreprises, avec des réussites avérées dans le coaching et le développement des AE - Une expérience de la mise en place et du déploiement à grande échelle de processus, d'outils et de méthodologies de vente dans des organisations en forte croissance au service du secteur Industries - Une solide culture technique et la capacité à comprendre des solutions d'IA complexes et leurs applications dans le secteur Industries, ainsi que l'habitude de préparer vos équipes à mener des échanges techniques crédibles avec les parties prenantes côté client - Une expérience réussie de la collaboration avec les équipes techniques tout au long du parcours client au sein de grandes entreprises - Une connaissance approfondie des cycles d'achat, des cadres de passation des marchés et des principales problématiques du secteur Industries - Une capacité avérée à piloter des cycles de vente complexes impliquant de multiples interlocuteurs et des parties prenantes variées, et à mener des initiatives transverses - Une expérience de la gestion de cycles de vente complexes aux grands comptes et de l'accompagnement des AE dans la conclusion de contrats stratégiques - Une grande rigueur opérationnelle dans la gestion du pipeline, les prévisions et les indicateurs commerciaux propres aux cycles de vente du secteur Industries - D'excellentes compétences en communication et la capacité à nouer des relations à tous les niveaux, des équipes techniques et métiers jusqu'aux membres de la direction du secteur Industries - Une approche stratégique de l'analyse de marché, alliée à une exécution tactique irréprochable - Un intérêt marqué pour les technologies d'IA et un engagement en faveur de leur développement sûr et responsable 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 OpenAI’s Legal team supports OpenAI’s mission by addressing complex legal issues arising from the development and deployment of AI. The team brings together expertise in commercial, corporate, employment, privacy, intellectual property, regulatory, tax and litigation matters, and works closely with teams across the company. About the Role We’re seeking an experienced, hands-on lawyer to serve as our country lawyer for France, providing broad legal support for our local office with a primary focus on regulatory and policy legal matters affecting OpenAI’s products, operations and business. You will advise on French and EU regulatory developments, develop practical legal positions and recommendations, and support OpenAI’s engagement with French regulators and policymakers. Working closely with EMEA and global legal colleagues, as well as policy and regulatory affairs teams, you will take ownership of assigned French matters, translate complex legal questions into actionable advice and help ensure that our approach in France is consistent with OpenAI’s wider legal positions. Alongside your primary focus, you will also provide broader French country legal support, coordinating with specialist teams on local business and operational matters. We’re looking for someone who can take responsibility for matters, give practical advice, manage competing priorities and bring cross-functional work to a decision. You will work closely with EMEA and global legal colleagues, GA and Policy leaders, applying established specialist guidance, approval processes and escalation routes. In this role, you will: - Advise on regulatory developments and their business implications. Assess existing and emerging French and EU laws, enforcement developments and policy proposals affecting OpenAI. Develop legal positions and practical recommendations, working with GA, Policy, Regulatory, Product, Privacy and other legal teams to translate requirements into action. Serve as a trusted legal partner to local leadership and business teams on the establishment, expansion and day-to-day operation of our French presence. Identify legal dependencies early and translate them into practical options and implementation plans. - Support regulatory and policy engagement. Partner with GA, Policy and legal colleagues to prepare for and participate in engagements with French and EU regulators, policymakers and local government. Develop legal analysis, briefing materials, consultation responses and legal input into policy positions, coordinating with the relevant EMEA and global teams. - Support French business initiatives. Advise on local partnerships, research and university collaborations, marketing, events and other commercial initiatives, working with Commercial, Product, IP, Privacy and Regulatory Legal as appropriate. - Provide coordinated French country legal support . Serve as a local legal partner on French business and operational matters, including local governance, office development, employment and workplace compliance. Identify legal requirements, involve the appropriate specialist teams and help take agreed actions through to implementation, maintaining clear ownership and alignment with OpenAI’s global operating framework. You might thrive in this role if you: - Have a law degree (Master 2 in Law, Bac+5, or equivalent) and substantial experience advising on French law, with the breadth to identify and manage issues across commercial, employment, corporate and operational matters. - Have relevant in-house and/or law firm, government or institutional legal experience, including work on regulatory engagement, policy development or enforcement matters. - Have experience interpreting complex legislation and policy proposals, developing clear legal recommendations, and preparing persuasive submissions, consultation responses or briefing materials. - Can combine regulatory judgment with practical country-level legal support, working across specialist teams and helping the business move from legal analysis to decisions and implementation. - Exercise sound judgment in unfamiliar areas, distinguish material risks from issues that can be managed within established guidance, and know when to involve specialist colleagues. - Communicate and negotiate effectively in French and English, and can explain complex legal issues clearly to business stakeholders and senior leaders. - Can manage a varied workload, prioritise according to business needs and legal risk, and maintain dependable coverage of French operational and business matters while progressing other assigned work. - Are interested in AI and emerging technologies, comfortable working through uncertainty and able to develop expertise as products, markets and legal requirements evolve. 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 Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Role Compensation touches nearly every decision we make about talent. We’re hiring our first dedicated Compensation Partner — the person responsible for translating our compensation philosophy into practice. You'll build the connective tissue between what we believe about pay and how pay decisions actually get made across a fast-growing org. That means bringing rigor to how we benchmark, review, and adjust compensation — and building the systems and processes that let that rigor hold as we scale. You'll own it end to end and hands-on: running the market research, designing the review cycle, keeping the data clean, and serving as the person HRBPs and leaders turn to when a pay question needs a real answer. You'll also partner closely with Finance to shape our equity structure through a compensation lens. What You'll Do Translate our compensation philosophy into clear strategy and practice - Take our existing compensation philosophy and turn it into practical guardrails, bands, and decision frameworks that managers and HRBPs can actually use - Regularly check that our real-world pay practices stay aligned with our philosophy, flagging and correcting drift as we grow - Keep our compensation posture competitive and agile — able to respond to market shifts rather than only revisiting pay once a year Maintain and evolve our compensation bands - Own our job architecture and salary bands, keeping them current as roles, levels, and the market evolve - Run ongoing market research and benchmarking (survey data, competitive intelligence) to ensure our bands remain competitive - Recommend band adjustments proactively, rather than waiting for a leader or HRBP to flag a problem Own compensation data, analysis, and systems - Maintain accurate compensation data and be the source of truth Finance, People Ops, and HRBPs rely on - Own compensation system implementation and administration (e.g., HRIS/Workday compensation modules), keeping the process scalable as headcount grows - Turn compensation data into clear analysis and recommendations for leadership — pay equity, competitiveness, spend trends Build and run our compensation review program - Design and own the end-to-end compensation review cycle — timing, guardrails, manager tools, and calibration approach - Partner with HRBPs to roll the program out across their orgs, adapting company-level design to what actually works for each function - Build the manager-facing tools and guidance that keep pay decisions consistent and defensible across teams Participate in designing our benefits strategy - Own the strategic direction of our benefits program across geographies — what we offer, how it evolves, and how it stays competitive and cost-effective as we scale - Partner with People Ops, who continue to own day-to-day benefits administration, to ensure strategy and execution stay connected - Evolve the benefits framework as we expand into new locations or hit new headcount milestones Partner with Finance on equity - Bring strong familiarity with equity compensation design (options, RSUs, or similar) to partner closely with Finance in building out a robust equity framework - Support equity-related modeling, guidelines, and decision-making as part of the broader compensation strategy - Help ensure equity practices stay consistent with our overall compensation philosophy Be the go-to comp expert for HRBPs and leaders - Act as subject matter expert on pay decisions, offer approvals, and job evaluations - Educate and enable HRBPs and managers so they can confidently make and explain compensation decisions within our frameworks What We're Looking For - 6+ years of progressive compensation experience, ideally including time maintaining and evolving comp programs (bands, review cycles, market benchmarking) in a fast-growing company - Direct experience with equity compensation (options, RSUs, or similar) and comfort partnering with Finance on equity framework design - Strong analytical foundation: comfortable with market data, compensation modeling, and translating data into clear recommendations - A hands-on, do-er mindset — comfortable owning the process and the details, not just setting direction for others to execute - Experience partnering with HRBPs, Finance, and People Ops as equal stakeholders - Excellent written communication — able to explain compensation mechanics clearly to audiences ranging from executives to first-time managers - Familiarity with relevant compensation systems and survey data sources (e.g., Workday, Radford, Pave, Carta Total Comp) Nice to have - Experience with sales/GTM compensation plan design - Experience carrying a benefits program through international or multi-geography expansion - Experience owning or heavily involved in benefits strategy (not just administration) - Experience building a compensation review cycle in tandem with a performance management program Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced, motivated Enterprise Account Executive to drive ElevenLabs' growth across Consumer Brands: the household names that millions of people call, shop with, order from, and fly with every day. That means everyday retail, grocery, CPG, quick-service restaurants, travel, hospitality and airlines. These companies win or lose on customer experience at massive scale, and their customers increasingly expect to talk, not type. Our ideal candidate is passionate about the transformative possibilities of AI voice technology and eager to act as a strategic partner, helping Fortune 500 and large-scale consumer companies reimagine how they serve, sell to, and sound to their customers. In this role you will: - Build and manage a growing portfolio of new accounts across QSR, grocery and retail, CPG, and travel and airlines to help ElevenLabs meet its revenue goals - Identify opportunities where conversational AI can drive growth, automation, or cost efficiency in both customer facing and internal agentic workflows, such as customer care, qualification and bookings, helpdesk, learning and development, brand voice across marketing and localization and many more. - Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends like agentic commerce - Demonstrate expertise, or a strong willingness to learn, about how ElevenLabs' voice technology unlocks value across customer support, virtual agents, in-app assistants, and creative content - Develop and execute account strategies across the whole buying group (CX and Operations, Digital and Product, Marketing and Brand, Technology), landing with one high-impact use case and expanding across business units, brands, and markets - Partner closely with Forward Deployed Engineers to solution high impact use cases, manage a successful Proof of Value with end customers, and set up customers to scale successfully in production - Serve as a trusted advisor, educating clients on generative AI and voice, and help shape the Consumer Brands playbook: ICP, messaging, and references Requirements - 7+ years of quota-carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms - Experience selling to consumer-facing enterprises (QSR, grocery/retail, CPG, travel/hospitality/airlines) is a strong plus - Proven success closing seven-figure deals and managing complex, multi-stakeholder sales cycles - Experience selling to both technical buyers (product and engineering) and business buyers (CX, operations, marketing and brand), and translating complex technology into business value - Adept at deeply understanding a customer’s business and unique requirements for success, and translating ElevenLabs’ capabilities into solutions that deliver against their needs - Proficient in enterprise procurement, security review, and legal processes, with the ability to work autonomously and effectively as a cross functional partner - Strong executive presence, the ability to build relationships at the C-suite and board level, and willingness to travel frequently and proactively for onsite client visits and conferences - Comfort in an early-stage, high-growth environment, where ambiguity is the norm and the state of play changes rapidly - Passion for voice and audio AI and how it can unlock transformative value for customers Location This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. There is a preference for candidates to be based in New York or San Francisco, with the option to work out of our office. LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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 Virginia and West Virginia 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 Virginia and West Virginia, up to 50% of the time, and occasionally to other Anthropic data center markets. Key responsibilities - Build and maintain trusted, sustained relationships with Virginia boards of supervisors, city and town councils, and planning commissions, West Virginia county commissions and municipal officials, state economic development agencies, community groups, civic leaders, educational institutions, and workforce partners in the Virginia and West Virginia 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, including in markets where data center development is already well established and community questions about its cumulative effects are active - 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, noise, transmission, and land use - 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 local 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 Virginia or West Virginia or willing to relocate to one of them, and prepared to travel regularly across both states 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 county and municipal level, including rezoning and special use permit hearings in Virginia - Experience with community concerns around data center siting, such as noise, transmission lines, water, and proximity to residential areas - Experience managing corporate social responsibility programs - Established relationships with economic development, workforce, or civic organizations in the markets this role covers, including in Appalachian and energy-transition communities - Experience working with real estate, legal, communications, and policy teams at the same time - 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.

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 Head of Customer Success, APAC at Anthropic, you will build and lead our Customer Success function across Asia Pacific. You will scale a team of managers and CSMs who help our most strategic APAC customers realize the full value of Claude. This is a foundational leadership role: you will establish how we run CS in the region, hire and develop a multi-market team of managers, and partner closely with your global counterparts to deliver a globally consistent customer experience while localising where it matters. APAC is not one market. You will lead across India, Japan, Korea, ASEAN, and Australia and New Zealand (ANZ), each with its own buying culture, regulatory context, language needs and pace of AI adoption. You will work hand-in-hand with global GTM, Product and Engineering leaders to shape our APAC CS strategy, take APAC customer priorities back into the business, and drive adoption, retention and growth across some of the most exciting markets in the world. Key responsibilities - Build and lead a multi-layered Customer Success organisation across APAC, managing managers and scaling the team responsibly as our APAC business grows. - Define and execute the APAC CS strategy in close partnership with global CS leadership, aligning with the global agenda while localising approach, motion and programmes for APAC market dynamics. - Own CS business outcomes including customer health, retention, expansion and satisfaction across APAC accounts. - Hire, develop and coach a high-performing team of CS managers and individual contributors, building a culture that reflects Anthropic's values across Asia's diverse geographies, languages and working cultures. - Partner with global CS, Sales, Product and Engineering teams so the voice of APAC customers reaches decision-making forums. - Establish scalable processes, playbooks and operating cadences that work across APAC time zones (India to Japan, Korea and ANZ) and overlap responsibly with global teams. - Represent Anthropic with senior customer stakeholders across APAC, leading executive engagements, QBRs and strategic account conversations with enterprises, digital natives, startups and public sector bodies. - Build strong working relationships with APAC channel and cloud partners, and with systems integrators and consulting firms that shape enterprise AI adoption in the region. - Contribute to global CS strategy as a senior leader, bringing an APAC perspective to team planning, segmentation and prioritisation. - Help shape how we deploy AI responsibly with customers across APAC's varied regulatory environments, including data residency, privacy and sector rules in markets such as India, Japan, Korea, Singapore and Australia. Minimum qualifications - 15+ years of experience in management consulting, technology consulting, professional services or customer-facing advisory roles, with a track record of advising senior client executives on complex transformation programmes. - Experience building and leading multi-market Customer Success or Technical Success organisations, including managing managers - Track record of scaling CS teams across APAC at enterprise software, SaaS or AI/ML companies - Demonstrated ability to balance global alignment with regional localisation across multiple APAC markets and cultures. - Strong people leadership: a clear philosophy on hiring, coaching and developing managers and senior ICs. - Experience owning enterprise customer relationships and driving measurable business outcomes (retention, expansion, adoption) in APAC markets. - Strong executive presence and the ability to represent a company credibly with C-suite stakeholders across APAC. - Excellent cross-functional partnership skills, particularly working across time zones with global leadership teams. Preferred qualifications - Experience leading Customer Success across APAC - Working fluency in an APAC language (for example Japanese, Korean or an ASEAN language) or a strong record of leading teams that operate in those languages - Experience standing up a CS function in a new APAC market from the ground up - Background in API products, developer platforms or consumption-based business models - Familiarity with AI/ML technologies and the ability to explain complex technical concepts to business audiences - Experience working with APAC hyperscaler, channel and SI partners on joint customer delivery - Track record of influencing global product roadmaps through structured customer feedback from APAC markets - Passion for responsible AI development and deployment 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 Platform Safety builds the infrastructure that lets Anthropic bring its most capable models to more people, safely and securely. Our systems decide both who can access our most advanced models, and what capabilities they can access, wherever Claude is available. That includes identity and business verification, trusted access programs, and the core services that grant, hold and enforce model access across our products. These systems already power the Cyber Verification Program, which now includes Project Glasswing, and the Life Sciences Verification Program with further more advanced use cases in development. As a Staff+ engineer, you'll help set the technical direction for this work. The foundations are live and adoption is growing quickly, so the next challenge is scale: making access a matter of configuration instead of code, making verification reusable, and giving customers a consistent experience on every surface. You'll work closely with safeguards, product, design and research to turn safety policy into systems that are easy to use and enforce. You'll also take new 0 → 1 efforts from idea to delivery as new capabilities and programs emerge. What you'll do You'll design, build and operate the systems that decide who gets access to our most capable models. You'll build the platform that lets teams across Anthropic launch and run trusted access programs, moving access rules out of code and into data so that launching a new model or complex program is simple and scalable. You'll build out our identity and business verification system (KYC/KYB) as a reusable service that any program can use, which means integrating verification vendors, protecting sensitive personal data, expanding into new regions, and building fair review and appeal paths for customers. You'll also evolve the core services behind every access decision, including the services that grant and hold access and the customer and user identity models they rely on, and keep them highly available and consistent across our own products and cloud platforms. You'll shape the architecture through clear written proposals, review key designs, and mentor engineers on a growing team. You'll also share on-call, lead incident response, and support emerging new programs. You might be a good fit if you: - Have a minimum of 8 years of practical experience as a backend or platform engineer, ideally at tech lead level or equivalent, and are comfortable working across the stack when the problem calls for it - Have strong product sense, and work closely with cross-functional partners, including non-engineers, to shape and execute strategy in new domains - Use AI tools as a regular part of how you design, build and review software - Have designed and operated production distributed systems on a critical path, where correctness, latency and availability all matter - Take full ownership of your work, from design through build, deployment, operations and iteration - Navigate ambiguity and make sound technical decisions independently, have set technical direction that other engineers and teams adopted, and have ideally operated in both 0 → 1 and more mature settings - Care about building robust, scalable systems that other engineers and businesses love to use - Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI Strong candidates may also have: - Identity, access control or authorization systems at scale - Fraud, risk, trust and safety, or KYC/KYB systems, including working with verification vendors - Regulated or compliance-sensitive environments, including handling sensitive personal data - Integrating with cloud platforms or partner ecosystems such as AWS, Google Cloud and Azure Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

At Scale, we develop reliable AI systems for the world's most important decisions. Some of our deepest partnerships are with US government agencies, where we're helping transform operations, accelerate decision advantage, and drive modernization that improves the lives of everyday Americans. Scale's US Public Sector GTM team is responsible for developing and executing the strategies that build trust and grow product adoption of transformative Scale's agentic AI solutions. This role sits at the intersection of product marketing, content production, and the GTM team’s growth strategy, and reports to Scale's Principal Product Marketing Manager for US Public Sector. We're looking for a Product Marketing Manager to drive the go-to-market messaging, product launches, and amplification programs for Scale's Agentic and Data solutions, targeting mission owners and Line of Business executives in U.S. federal civilian agencies. This role is strategic, hands-on, and creative: you will act as a bridge between Scale US Public Sector GTM, product, and marketing teams, turning complex, high-stakes AI projects into high-visibility success stories. Day to day, you will lead the product, customer, and brand awareness initiatives that help the team enter new Fedciv market segments and penetrate priority accounts. The ideal candidate pairs strong product marketing skills and storytelling instincts with the judgment and strategic mindset needed to own marketing for the federal civilian segment, shape the market, and build awareness and demand from the ground up. You will: - Produce the Content That Tells Our Story: Create the case studies, one-pagers, solution briefs, thought leadership eBooks, web copy, and presentations that turn Scale's complex, technical work into clear, compelling narratives. - Support Product & Customer Marketing: Develop and customize messaging, positioning, and collateral so they resonate with agency-specific missions and mission owners. - Support Launches & Campaigns: Drive the materials and copy behind new solutions, offerings, and campaigns as we bring them to market. - Support Market Entry: Partner with the GTM sales leadership and engineering teams to own and support go-to-market in new federal civilian segments, contributing the content, enablement, and campaign execution that turn strategy into pipeline. - Create Alignment: Partner across GTM sales, product, and delivery to gather input, keep projects moving, and ensure our external voice reflects what's true and differentiated about our work. - Measure Impact: Track content and campaign performance in partnership with cross-functional teams. - Partner with Comms and Events: Work with our global communications team and customers' PR arms to secure media placements and speaking opportunities for joint initiatives. Ideally you'd have: - 6+ years of experience in Product Marketing, preferably within B2G (Business-to-Government), targeting federal civilian accounts - Storytelling Excellence: A proven track record of marketing to mission owners, and turning technical deployments into compelling human-centric or national-impact narratives. - Autonomy & Velocity: Ability to thrive in a high-velocity environment where you must manage senior stakeholders independently. - Collaboration Skills: Ability to work across functions (Sales, CS, and Product) to get the information you need and earn trust. Nice to haves: - Experience marketing AI/ML cloud infrastructure or data services. - Partner marketing experience supporting government teams. - Hands-on experience building and managing content, account-based marketing, and broader lead generation campaigns. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $164,000 - $205,000 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 As a member of the GTM team at Anthropic, you will be a Staff Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers and leads the technical direction of their AI adoption. Customers bring you in to lead, not only to implement: you decide what should be built, and then make sure it gets built well. You will work with customer teams to ship advanced AI applications that solve real world business problems, and guide the architecture and advisory work that surrounds those builds across an account. Working closely with our Research, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and help shape our forward-deployed motion as it scales. We expect Staff FDEs to set direction under ambiguity and represent Anthropic at the highest level in customer environments. In this role, you guide architecture and build initiatives across workstreams, working directly with senior technical and business stakeholders and owning outcomes that span an account's roadmap. You don't need to have shipped agents to production. You do need deep experience building and operating production systems, hands-on time with agents, and the judgment to lead architecture and advisory work with enterprise customers. Responsibilities - Own technical strategy for a key account or vertical, in partnership with account and product teams. - Guide technical architecture and design decisions across multiple concurrent workstreams. - Lead discovery and advisory engagements independently, shaping scope and technical strategy before a build starts. - Lead engagements delivered with partners, setting the architecture and the quality bar for work you don't build yourself. - Review designs and unblock other FDEs on hard technical calls. - Represent Anthropic to senior technical and business stakeholders, including VPs and C-level, to align on strategy and de-risk delivery. - Own your engagements end to end: scope the work, sequence it, unblock it, anticipate security and procurement gates, and deliver production systems the customer can operate. - Work within customer systems to build production applications and agent components with Claude, and hand over systems the customer can run. - Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. - Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. - Travel frequently (25%) to customer sites to build in person with customers. - Be a champion for Anthropic's mission in the field. You May Be a Good Fit If You Have - Deep system design and problem decomposition skills: you can walk into a discovery conversation with only a business problem and leave with a defensible technical strategy for a secure, production-ready design inside a complex enterprise environment of legacy systems, with identity and access, and compliance requirements. - Experience in a senior technical, customer facing role such as Forward Deployed Engineer, or as a Tech Lead with consulting or product experience. Former technical founders are also encouraged to apply. - A track record as the person a team turns to on ambiguous technical calls, whether through architecture review, pairing, or informal mentorship. - A track record of directly influencing senior technical and business stakeholders, including VP and C-level, in complex organizations. - Extensive experience building and operating production systems. Hands-on experience with LLMs and agents is expected. Side projects and prototypes count. - Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc), experience shipping production applications, and everyday use of AI coding tools with the judgment to review and steer. - Experience leading advisory and architecture-review engagements as well as hands-on builds, and running them end to end. - High agency with an ability to navigate ambiguity present in complex organizations, and the learning velocity to pick up new domains and tools fast. - Passion for advancing safe, beneficial AI systems through creative technical applications. - A background in financial services, healthcare/life sciences, or another enterprise vertical are nice to have. 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: $280,000 - $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 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 This is a brand new Adoption Strategist role sitting at the intersection of adoption, enablement, scaled programs, and product expertise so we expect the scope to evolve and want someone excited to build as it does. You'll design and run the programs - onboarding tracks, lifecycle campaigns, workshops, adoption playbooks - that drive corporate and mid-market customers to activate their core use case and expand into new ones. Everything you build has to scale across a high-volume book, not be custom to one account. You'll need deep product fluency - enough to be the most credible voice in the room on how to use the product well - without ever owning an account or its technical implementation directly. This is a builder role for someone extremely analytical, comfortable running live enablement at scale, and already advanced with AI tools to automate the systems behind it. Since this is a new role, we expect the scope to evolve over time - being adaptable and excited to build is a core part of being successful here. Focus areas include, but aren't limited to: - Drive strong adoption by building and delivering scalable enablement and activation programs that educate customers on best practices, and get them to time-to-value quickly on their core use case - Develop deep product expertise across the entire ElevenLabs platform, with a focus on ElevenAgents and ElevenCreative - you're a product expert on our existing product and you're constantly the first to learn new products coming to market - Proactively audit customer agents prompts, configurations, and feature setup to identify gaps, and share recommendations as a value-add service that drives deeper adoption - Track and drive key leading and lagging adoption metrics, partnering with Revenue Operations to iterate on our reporting capabilities, and use those trends to develop data-driven adoption strategies and playbooks across the customer base in region - Partner with Account Management and CX to deliver targeted adoption and enablement campaigns, including regional live workshops and webinars, based on opportunities or new product releases - Engage with external implementation partner and internal teams to help unify adoption strategy across the customer journey (e.g., Solutions Engineering, GTM, Customer Experience, Product Marketing and Engineering) - Partner with leadership on high-impact initiatives that support the local GTM team and global results Requirements - 6+ years in adoption, customer/partner enablement, digital CS programs, enterprise growth or similar role- at an AI-native or highly technical company with a large, low-touch book - Experience with voice AI, TTS, conversational AI, or developer-facing products - A track record of building adoption focused programs from the ground up: onboarding tracks, scaled adoption playbooks, self-serve content, and more - You think in systems but are creative: you're always asking "how do we scale or automate this," and building automations and workflows with AI tools is ingrained in how you work - Extremely analytical: you identify trends easily and use them to close gaps, surface opportunities or standardize best practices. You also identify data points that aren't yet tracked but would uncover new insights and change strategy - Comfortable driving cross-functional outcomes without direct authority, working effectively with Account Management, FDE, RevOps, and GTM to move adoption forward - Experience managing a high-volume book of business at scale, mid-market or commercial segment - Language Requirements - Must be fluent in English Location This role is remote out of Sydney 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 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 New York 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 across New York State, including upstate communities, up to 50% of the time, and occasionally to other Anthropic data center markets. Key responsibilities - Build and maintain trusted, sustained relationships with town, village, city, and county elected officials and administrators, planning and zoning boards, local industrial development agencies, state agencies, economic development organizations, community groups, civic leaders, labor and building trades organizations, educational institutions, and workforce partners in the New York 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, including public comment and environmental review processes - 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 how New York's energy and climate policies and grid conditions shape our plans - 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 local 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 New York or willing to relocate there, and prepared to travel regularly across the region 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 local and regional level in New York, including environmental review under the State Environmental Quality Review Act (SEQRA) and local incentive approvals through industrial development agencies - Experience managing corporate social responsibility programs - Established relationships with economic development, workforce, labor, 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 Native nations in New York, 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.

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 hiring an Enterprise PM to own the product experience for businesses using ElevenCreative. ElevenCreative helps creators and marketers generate and edit speech, music, image, and video across 70+ languages. A growing share of that usage comes from enterprise teams, including brands, agencies, studios, and media companies that roll it out across their organizations. You'll own enterprise revenue, growth, and adoption for ElevenCreative, and use every lever available to move them. That covers the admin, permissioning, and governance features large organizations need to deploy ElevenCreative across teams, as well as the enterprise products we're building on top of the platform, like our Ads Engine. You'll work directly with sales and customers to understand what's blocking deals and adoption, scope and define the big bets, and ship them. PMs at ElevenLabs work in small, highly collaborative teams with minimal process, alongside engineers who have room to build creatively and lead. The scope is broad by design. Some weeks lean toward product, others toward go-to-market or customer work, and you'll own whatever it takes to make ElevenCreative the best product for enterprise teams. What you'll do - Own enterprise revenue, growth, and adoption for ElevenCreative, pulling on product, pricing, packaging, go-to-market, and customer levers to drive results - Scope and define the big bets for enterprise, from discovery through launch and adoption - Build the admin and governance layer enterprises need, including role-based permissions, visibility into who has access to what, usage and spend controls, and reporting across teams - Partner with engineering to scope and ship enterprise products like Ads Engine, turning complex customer workflows into products that scale beyond a single account - Work with sales to triage feature requests and deal blockers, prioritize across them, and close the gap between what customers need and what we ship - Join customer conversations to understand how enterprise teams evaluate, buy, and roll out creative tooling, and bring those insights back into the roadmap - Define success metrics for enterprise features and track adoption, expansion, and retention across accounts - Work closely with engineering, design, sales, and growth to ship quickly and drive projects all the way through Requirements - 5+ years of product management experience, with recent experience owning enterprise or B2B product - A track record of owning revenue, growth, or adoption outcomes and driving them across multiple levers - Experience shipping enterprise capabilities such as admin, permissions, billing, or security, and driving adoption across large customer accounts - Deep familiarity with how creative, marketing, and media teams work, and a habit of bringing customer insights into every product decision - Experience scoping and defining large, ambiguous bets and owning them end to end - Experience working directly with sales and customers and turning a high volume of requests into a clear, prioritized roadmap - Design-minded, with a high bar for product quality and the ability to mock up concepts and workflows yourself - Technical fluency to go deep with engineers on architecture, integrations, and tradeoffs - Strong product judgment and a clear point of view on what to build and why - A bias toward shipping and iterating over long alignment cycles - Curiosity about AI and creative tools, and close attention to how the space is moving 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. About the role We’re looking for a highly motivated, self-starter Account Executive in Spanish Latam who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: - Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals - Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency - Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends - Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more Requirements - 3–5+ years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms - Experience selling technical solutions to product, engineering, or innovation teams is a strong plus - Proven track record of meeting & exceeding sales targets in a fast-paced environment - Expertise or willingness to learn everything about voice and audio AI and how our solutions can help prospects - Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Fluency in English and Spanish and a deep understanding of the regional and cultural nuances Location This role is remote and can be executed in Chile, with preference for Santiago or Lima. 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.

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We're hiring a Senior Software Engineer, Native Mobile to join the App Infra team within the Consumer & Business group. This team is executing a greenfield rewrite of Coinbase's retail mobile app from React Native to native Swift and Kotlin, using AI-assisted code generation to deliver a dramatically faster, higher-quality experience for millions of customers. You'll bring deep iOS or Android expertise to build core app surfaces, contribute to the design of Coinbase’s native mobile agentic workflow, and contribute to the foundation of Coinbase’s future mobile platform as product teams onboard to the native codebase. What you'll do: - Accelerate every other Frontend engineer at Coinbase by defining architectural patterns, improving build speeds, and defining optimal development workflows. - Own the development of core app surfaces in Swift and Kotlin, translating existing React Native flows into performant native implementations that meet strict performance budgets, and setting the project-level quality bar through code and design reviews. - Build within the AI-assisted code generation loop, orchestrating AI as a force multiplier by leveraging LLM-driven translation while applying native mobile expertise to validate architecture, catch edge cases, and ensure production-quality outputs. - Partner with product teams during onboarding to review native PRs, challenge suboptimal patterns, and attack slow paths the team has accepted, such as flaky tests, painful deploys, or ambiguous handoffs between native and React Native codebases. - Drive performance optimization across device tiers, architecting robust solutions through trade-off analysis to eliminate loading indicators, scroll jank, and stall counts, with particular attention to low-end Android devices. - Contribute to the dual-app parity strategy during the transition period, identifying and killing technical debt that matters while ensuring feature and bug fix synchronization between codebases. Required Skills and Experience: - 5+ years of iOS or Android mobile software engineering experience (Swift/iOS or Kotlin/Android). - Demonstrated ability to build and ship performant mobile applications with a focus on frame stability, cold start optimization, and responsive UI across diverse device populations. - Proficiency in Swift or Kotlin with working knowledge of the other, and willingness to develop cross-platform fluency, as engineers on this team own both iOS and Android. - Experience with mobile CI/CD pipelines, build systems, and release processes, with a track record of delivering project-level outcomes that compound beyond the immediate cycle. - Uses generative AI responsibly, maintaining human oversight to deliver business-ready outputs and measurable gains in workflow efficiency, cost, and quality. Job# P78585 Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision). Annual base salary range (excluding equity and bonus): $186,065 - $218,900 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. The Events team advances that mission by connecting the people building AI with the people using it to solve problems, create new things, and open up opportunities for others. We bring developers, business leaders, customers, partners, and communities together to experience our technology firsthand and imagine what they can build with it. From global gatherings to hands-on experiences, our ambition is to inspire people to think bigger—and give them the ideas, relationships, and confidence to help shape what comes next. About the Role We’re looking for a Global Head of Events to lead a large, established global events and production team, with the opportunity to define what comes next. Working with OpenAI’s executive team, you’ll set the direction for our event portfolio, focus investment on the experiences that matter most, and give the team the clarity and support to do its best work. This is a chance to build on a substantial foundation and create the experiences people will associate with OpenAI for years to come. Your remit will span the company: flagship conferences, product launch experiences, developer gatherings, executive programs, regional events, and our presence at important industry and cultural moments. You’ll own the strategy, team, investments, and agency relationships that make that work possible. The team also leads in-house production for OpenAI’s town halls, webinar studio, and film projects. You’ll bring creative judgment, business instincts, and a love of bringing people together. You’re entrepreneurial and deeply curious: ready to start with an open question, find a direction, and learn by making things. You can make good decisions with incomplete information, bring others along, and change course when you learn something new. You’re also excited to use AI in your own work and help the team discover better ways to plan, create, and deliver experiences. In this role, you will - Set OpenAI’s global events strategy and focus investment on the experiences that matter most. - Partner with executives on event priorities, programming, and participation in key moments. - Create flagship gatherings and original formats that bring our products, ideas, and communities together. - Work across Brand, Creative, Product, Research, and Communications to create thoughtful, cohesive attendee experiences. - Lead and develop a global events and production team, while helping regional teams adapt experiences for their markets. - Own budgets, agencies, vendors, and complex production in partnership with Finance, Procurement, Legal, and Security. - Oversee in-house production for town halls, webinars, and film projects. - Partner with Revenue Marketing, Field Marketing, and developer teams on audience goals and follow-through; connect live, digital, and hybrid events to engagement beyond the room. - Define success across product understanding, adoption, community, customer relationships, brand, and business results, using feedback and AI to improve future experiences. You might thrive in this role if you - 14+ years of experience in global events, experiential marketing, and large-scale production, including leadership of teams, budgets, and programs across multiple markets. - A track record of creating distinctive flagship experiences and building the teams and processes to deliver them consistently. - Strong creative judgment and an understanding of how to design experiences for developers, business leaders, customers, partners, and communities. - Experience developing leaders, setting priorities across a broad portfolio, and guiding an established team through change. - Experience leading complex live and recorded productions, managing agencies and significant budgets, and partnering with senior stakeholders. - The ability to connect event investment to meaningful outcomes while keeping the attendee experience central. - An entrepreneurial approach to ambiguity, curiosity about AI, and firsthand experience using it to improve your work. Workplace & Location 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. 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.