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Senior Director of IT
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the team The IT team supports SambaNova’s employees and infrastructure. We manage the servers, networks, and cloud accounts our engineering teams use to build and test AI chips and systems. We also handle employee laptops, accounts, and software, and we run security across the company. The team is small and works closely with engineering and DevOps. About the role As Director of IT on the IT team, you will lead infrastructure, end-user IT, security operations, and DevOps support across the company. You will set the direction for the function and grow the team, and you will also do hands-on work when the team needs it. This role can be leveled at Director or Senior Director depending on experience. Responsibilities - Lead server and backend infrastructure, including on-prem and cloud systems, networking, storage, and identity - Run desktop and end-user IT, including laptop provisioning, SaaS tools, help desk, and onboarding and off boarding - Build and run the security program and security operations, including endpoint protection, access control, monitoring, and incident response - Partner with engineering on DevOps tooling, CI/CD infrastructure, and automation - Hire and manage the IT team, and set its roadmap and budget - Manage vendors and contracts for IT and security tools - Configure systems, troubleshoot outages, and write automation yourself when needed Required qualifications - B.S. in Computer Science, Information Technology, or related field - 10+ years of experience in IT infrastructure and operations - 5+ years of experience leading IT teams - Experience running both backend infrastructure and end-user IT - Experience building or running a security operations program - Experience with DevOps tools such as Terraform, Ansible, Kubernetes, and CI/CD pipelines - Hands-on experience with Linux, Windows, and macOS administration, identity management such as Okta or Entra ID, and MDM - Able to work onsite at our Bay Area office on a regular basis Preferred qualifications - Experience at a startup or high-growth company - Experience supporting hardware or semiconductor engineering teams, including HPC or lab environments - Experience with SOC 2, ISO 27001, or similar compliance programs - Experience scaling an IT team through rapid headcount growth Base Salary Range: Base Pay Range $1 - $999,999 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Content Designer
Perplexity is looking for a Content Designer to shape the words across our products. You'll design the language people see and hear across our family of Perplexity apps, from the first screen of onboarding to the way an agent explains what it's doing. Fundamentally, we are all writers. Our product is primarily spoken language and written product; but as we scale, we want someone who will continue to work on clarity, usefulness, and keep it unmistakably Perplexity. You're a designer first? You're an engineer first? You're a writer first? Your shape is not conventional, and you wear many hats. You are fluent in AI tooling. You have strong UX fundamentals and good product instincts. You use language to solve product problems: flows, naming, information architecture, error states, permissions, and moments where people need to trust what the product is telling them. You command words. You command agents, and make decisions about words. You can write one perfect line, and you can build the system that keeps thousands of lines consistent. You'll sit on the Design Systems team and work closely with product designers, engineers, PMs, research, brand, and marketing. (Again) You're fluent in AI-powered tools and use it every day. You understand how models behave, how prompts and system instructions shape what people see, and how to define and judge quality when the output isn't fully deterministic. What you'll do - Design and write in-product language across web, mobile, desktop, and voice, including UI copy, flows, onboarding, notifications, empty states, errors, and in-product education - Partner with product designers from the start of a project, shaping flows, structure, and information architecture as well as the words in them - Name features and products, and own terminology, navigation labels, and taxonomies so the product stays easy to understand as it grows - Make complex AI and agent behavior understandable, including what the product is doing, why, what it can't do, and when it needs a person's input - Shape how AI-generated content reads by writing and refining prompts and system instructions, and help define voice and response style for our models in product - Define content quality standards and help build evaluation criteria, datasets, and reviewer guidance for AI-generated content - Build and maintain voice and tone guidelines, content patterns, and content guidance in our design system so every team can write well - Use research, data, and experiments to test language and improve comprehension, activation, and task completion - Partner with brand and marketing so product language and our external voice feel like one company - Work with internationalization partners so the product reads well in every language we support - Review copy in code and ship small language changes directly when it's the fastest path What we're looking for - 5+ years of experience in content design, UX writing, or product design, shipping software at scale - An excellent portfolio that shows how your language shaped product decisions, with clear before and after examples and your role in each - Strong UX fundamentals, including interaction design, information architecture, usability, and accessibility - Good product sensibility and judgment about what to build, what to cut, and what matters most to people - Exceptional writing and editing skills, with range from precise interface copy to clear explanations and confident naming - Strong AI fluency, including hands-on experience writing prompts, working with LLMs, and judging the quality of AI-generated content - Systems thinking, with experience building content frameworks, style guides, or terminology that scale across teams - Clear communication, with the ability to explain content decisions and tradeoffs to designers, engineers, and leaders - You care about shipping great software more than anything else Nice to have - Experience designing content for AI products, assistants, agents, or conversational interfaces - Experience with prompt engineering, model evals, or working with research teams on model behavior - Experience across consumer and enterprise products, including admin, permissions, privacy, and billing flows - Comfort working in code, such as editing strings, reviewing PRs, or prototyping with AI tools - Experience with localization and writing for global audiences Notes for candidates We want to see portfolio work where your words changed the product. Show us the problem, the options you explored, the language you shipped, and what happened after. We value end-to-end ownership, range, and impact, and we'd love to see examples of AI-related work, such as prompts, evaluations, or content you designed for model output.
Engagement Manager (NYC)
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team: The Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world. About the Role: We're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes. This role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Location: This role can be based in our San Francisco or New York office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way) may be eligible for hybrid arrangements depending on location and role requirements. Open to remote candidates within the US. What You'll Do: - Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff - Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes - Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines - Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning - Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards What You'll Bring: - You have 5+ years of engagement or project management experience, preferably with technical or software engagements - You've managed multiple concurrent engagements and know how to keep quality high across all of them - You have strong experience working with enterprise customers and leading customer-facing communication - You've coordinated cross-functional technical teams — engineers, architects, product — and managed resource allocation - You're experienced with project management tools such as Linear, Jira, Asana, or similar - You've handled scope change management and complex stakeholder dynamics - You have start-up DNA: you thrive in fast-paced, ambiguous environments and don't wait to be told what to do - You're a natural communicator — clear, direct, and effective with both technical teams and executive stakeholders You exemplify our operating principles - You are motivated to build something great: you hold a high bar for quality, craft, and impact - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges Nice to Have: - PMP or similar project management certification - Experience in Professional Services or consulting - Experience with AI/ML or infrastructure engagements - Experience with time tracking and billing coordination - Knowledge of software development lifecycle and agile methodologies Compensation Annual Salary: $150,000-$190,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Engagement Manager (London)
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team: The Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world. About the Role: We're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes. This role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Location: This role can be based in our San Francisco or New York office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way) may be eligible for hybrid arrangements depending on location and role requirements. Open to remote candidates within the US. What You'll Do: - Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff - Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes - Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines - Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning - Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards What You'll Bring: - You have 5+ years of engagement or project management experience, preferably with technical or software engagements - You've managed multiple concurrent engagements and know how to keep quality high across all of them - You have strong experience working with enterprise customers and leading customer-facing communication - You've coordinated cross-functional technical teams — engineers, architects, product — and managed resource allocation - You're experienced with project management tools such as Linear, Jira, Asana, or similar - You've handled scope change management and complex stakeholder dynamics - You have start-up DNA: you thrive in fast-paced, ambiguous environments and don't wait to be told what to do - You're a natural communicator — clear, direct, and effective with both technical teams and executive stakeholders You exemplify our operating principles - You are motivated to build something great: you hold a high bar for quality, craft, and impact - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges Nice to Have: - PMP or similar project management certification - Experience in Professional Services or consulting - Experience with AI/ML or infrastructure engagements - Experience with time tracking and billing coordination - Knowledge of software development lifecycle and agile methodologies Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Activation Specialist (London)
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The Customer Experience team helps customers adopt LangSmith and turn early momentum into lasting product usage. The team partners closely with GTM, Product, Engineering, and LangChain specialists to guide customers through onboarding, production readiness, and the practices required to build reliable AI applications. About the Role We’re looking for an Activation Specialist to join the Customer Experience team. In this role, you’ll work with new customers during their first weeks on LangSmith, helping them move from signed contract to a working platform that is ready for agents in production. You’ll focus on activation milestones such as admin setup, user onboarding, traces flowing, evaluations in place, and customer teams feeling confident enough to keep building independently. What You’ll Do - Own customer onboarding from kickoff through early activation milestones, including admin setup, SDK integration, first traced run, first evaluation, and LangGraph deployment. - Guide customers through core LangSmith setup and production readiness topics, including security, org design, workload isolation, and integration questions. - Partner with GTM teams, Product, Engineering, and LangChain specialists to unblock customers and coordinate support when deeper expertise is needed. - Help customers build their first evaluation workflows, define what “good” looks like, and confirm they can debug a production trace independently. - Route customers to the right resources and turn recurring onboarding questions into runbooks, documentation, and repeatable processes. - Surface customer friction to Product and Engineering early and track activation metrics such as time to first trace, first evaluation, and production run. What You’ll Bring - 2–4 years of experience in a customer-facing role such as support, customer success, account management, onboarding, or a similar function. - A strong desire to work directly with customers and build productive, trusted relationships. - Excellent organization and follow-through, with a track record of keeping customers and internal partners aligned. - A proactive, industrious approach to learning new tools, solving problems, and rolling up your sleeves. - Clear, friendly written and verbal communication skills. - Curiosity about technology and AI, plus a willingness to get hands-on and learn technical concepts on the job. Nice to Have’s - Customer onboarding experience at a SaaS company. - Familiarity with enterprise readiness concepts such as SSO, SCIM, ABAC, and workload isolation. - Exposure to developer tools, observability, evaluations, or AI/LLM workflows. - Familiarity with analytics, BI tools or SQL. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Forward Deployed Engineer (Australia)
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role You embed directly with customer teams as the engineer on the ground: own an outcome, ship a production-grade SpaceXSI system that still runs after you leave, and become the critical technical feedback loop from the field back to product engineering. The work is the project. One week you might take a messy business workflow and put a production agent on it: pick the use case, stand up the architecture, wire it into the customer’s auth, data, and tools, then harden it with evals until the team actually uses it. Another week you might live in a customer’s repo and delivery system and ship an agent-powered path for a migration, a PR review loop, or an incident-to-fix flow, behind tests, review, and rollout rather than in a chat sidebar. Either way, you measure what matters, leave the customer able to operate it, and bring the pattern back as another use case for SpaceXSI. This is not a demo role. You own the work end to end, from the first discovery call through launch, iteration, and post-launch support, and you are responsible for systems that work in the real world. What you’ll do - Lead discovery with the customer: orient in their codebases and workflows, find the real bottleneck and the use case worth building, and define clear success metrics - Design and ship production agents, AI applications, and coding-agent workflows on Grok and our models, on live business processes and inside the customer’s engineering org - Get a first version live in days, then harden it over weeks with rollout, monitoring, and iteration from real usage - Own production quality: tracing, evals, debugging model or delivery failures, and latency and cost tradeoffs - Build the systems around the model (tools, MCP servers, retrieval, rules, skills, CI gates, and evals) and integrate them into the customer’s auth, data, workflow, and delivery systems; decide when prompting, architecture, data, process, or a model change is the right lever - Measure the outcome that matters (revenue, cost, hours saved, error rate, cycle time, escaped defects), not seat adoption - Work directly with Staff+, platform, and domain leaders, going deep in their systems while communicating clearly about tradeoffs and results - Leave the customer team able to run what you built, and turn what you learn into reusable patterns and improvements to SpaceXSI products You may be a fit if - Required - You have 5+ years of experience in software engineering, machine learning engineering, or data science - You write and review production code (Python, JavaScript/TypeScript; other languages welcome) - You’ve owned a customer or operator outcome, not just a slide or a prototype, and can turn a fuzzy problem into a scoped, shipped system - You’ve built and owned AI-native workflows or agents in production, and debugged real production failures (model, tool, data, pipeline, or delivery path) - You’ve handled production reliability: metrics, alerts, safe rollouts, incident response - You build end to end: frontend, backend, infra, and prompt iteration - You thrive in ambiguity and don’t need a complete spec before you start building - You can talk to working engineers and to a VP Nice to have - 2+ years in a customer-facing role, leading discovery conversations and being accountable for outcomes for external stakeholders - Hands-on depth in several of: agents and tool-calling, eval harnesses, retrieval and context systems, CI/CD or developer platforms, and AI-native coding workflows in a real repo - Experience as a forward-deployed, solutions, or platform engineer embedded with customers, or as a founding engineer who owned an AI product end to end
Senior Director, Business Operations & NPI
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. The era of pervasive AI has arrived. SambaNova builds the chips, systems, and cloud services that make high-performance AI inference practical at scale. Our fifth-generation Reconfigurable Dataflow Unit (RDU), the SN50, is purpose-built for agentic AI and fast token generation, and our SambaRack systems are designed to run in the air-cooled data centers customers already have. We work with NeoClouds, AI labs, sovereign AI providers, service providers, and enterprises that want faster tokens at a lower total cost of ownership. SambaNova is growing quickly, and we are expanding our partner and ecosystem work to keep pace. We are looking for people who want to help shape what comes next. About the Role SambaNova is looking for a Senior Director of Business Operations and New Product Introduction (NPI) to help bring SambaNova's silicon and systems to market through a growing ecosystem of partners. You will work directly with the Chief Corporate Development Officer, and you will have a visible, company-level impact from your first week. We are at the forefront of heterogeneous disaggregated inference (HDI), where GPUs and SambaNova RDUs each do what they do best. Interest from OEMs, ODMs, NeoClouds, hyperscalers, and sovereign customers is growing quickly, and we want every partner to have a clear, consistent experience working with us. Many of our engagements today are tailored to the partner. You will help turn what we learn from them into a repeatable playbook: a clear path from first conversation to signed agreement, from prototype to volume shipment, and from first order to lifecycle support. That playbook will make SambaNova easier to work with and become a differentiating moat for the company. This is a rare opportunity to shape how SambaNova works with its partners at a pivotal moment. You will begin by listening to colleagues across the company to understand what is working, where the gaps are, and what each team needs to succeed. From there, you will collaborate with those teams to fill the gaps, connect the pieces, and amplify the work already underway, and you will help create new opportunities across a range of partner and business models. Your technical depth will let you translate what customers and partners need into clear priorities for SambaNova, and your judgment will help the company act on them with confidence. Responsibilities Build the NPI framework and playbook - Define and drive SambaNova's end-to-end NPI flow for partner and OEM engagements, covering partner engagement and agreements, architecture and reference design, development and validation (EVT/DVT/PVT), manufacturing readiness, customer proof of concept, workload validation, acceptance, mass production, and lifecycle support - Set gate criteria, owners, templates, and checklists for each phase, and make them simple enough that teams actually use them - Convert one-off deals into repeatable playbooks by business model and partner type, and keep improving them as we learn - Define the metrics, dashboards, and executive reporting that show where every engagement stands Lead technical project execution across engagements - Run the plan, milestones, dependencies, risks, and action items for a growing number of concurrent OEM and partner engagements - Work across silicon, hardware, rack and thermal, firmware, software, supply chain, QA, sales, support, marketing, finance, and legal to get the right people and decisions in place at the right time - Help the team interpret customer and partner requirements, including architecture, BOM, power and cooling, form factor, test, and qualification, and translate them into clear SambaNova actions and trade-off decisions - Understand and track architecture decisions alongside engineering leaders, and highlight early when a decision is blocking progress Help drive the commercial lifecycle - Partner with the CCDO, CFO, and Legal to shape customer and partner agreements, including deliverables, roles and responsibilities, milestones, audit functions, and support obligations - Track every engagement from NDA, MOU, LOI, and MSA through orders, forecasting, pricing, delivery, QA support, returns, and revenue recognition - Bring structure to supply and commercial terms such as NCNR commitments, MOQs, forecast commitments, lead times, and allocation Develop the ecosystem and the go-to-market - Work with sales, product, and marketing on sales enablement, reference architectures, co-sell motions, training, and joint launches with partners - Define software, firmware, and technical support models for partners and their customers - Help establish QA, RMA, failure analysis, and returns processes that match what partners expect from a silicon supplier Base Salary Range: Base Pay Range $230,000 - $280,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Member of Technical Staff (GTM Engineer, Growth)
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and the Growth team owns the loops that turn that adoption into lasting usage and revenue. We're hiring a Growth GTM Engineer to build the systems that turn product usage into revenue and turn self-serve usage into enterprise pipeline. You'll turn first-party Computer and Enterprise usage into account-level signals. You'll ship the in-product paths that capture sales intent, and build and validate those signals with data science. Alongside product engineers, you ship production code, instrument the product and run experiments. You'll partner closely with Revenue Operations, who own Salesforce, CPQ, routing and sales reporting. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Snowflake | Eppo | AWS Why Perplexity Is Different - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. What You'll Do - Build account-level PLG signals: map users and workspaces to accounts, and define the activation, expansion and intent signals that predict an enterprise deal. Publish them as trusted models that sales use for scoring and routing. - Own the in-product paths from self-serve to sales, like contact-sales entry points, high-intent upsells and meeting booking, across web and app. Decide who sees them, when and with what context, and measure them end to end, from surface to booked meeting to pipeline. - Lead experiments end to end on sales-assist surfaces and targeting, from hypothesis and instrumentation through analysis and rollout. Partner with Data Science to measure meetings and qualified opportunities, not just clicks. - Build the internal tools and automation Growth and GTM teams run on - Partner closely with Sales, Sales Systems, Data Science, Marketing and Product to turn product signals into pipeline. Be upstream partner to sales systems that own Salesforce, CPQ and routing Qualifications - 2+ years as a growth, GTM, data or full-stack engineer, shipping production code (TypeScript/React, Python). - Strong SQL and comfort building data models in a warehouse (Snowflake, dbt-style). - Experience instrumenting product events and running A/B experiments end to end. - Commercial instinct: you start from a revenue problem ("trial-to-enterprise conversion won't move") and work back to the signal or surface that fixes it. - Comfort with REST APIs, webhooks and integrating third-party GTM tools. - Operator mindset: you talk to customers directly, ship fixes, and don't need a PM to translate requests. Nice to Have - Experience in a PLG-to-enterprise motion: product-qualified leads, scoring users into accounts, sales-assist flows. - Experience as a GTM or growth engineer at a B2B SaaS or GTM-tooling company. - Entity resolution, dedup or domain enrichment. - Familiarity with Salesforce, Default, Chili Piper, Intercom, Clay, Hightouch/Polytomic or similar (as a consumer and integrator, not an admin). - Experience building LLM-powered internal tools or agents.
IP Paralegal
Perplexity AI is looking for a highly organized and resourceful IP Paralegal to serve as the operational backbone of a fast-growing, full-stack intellectual property program, with a primary responsibility for patent and trademark prosecution and portfolio management, and additional support work across copyrights, trade secrets, and open source compliance. This role reports to the Director of Intellectual Property and offers significant responsibility and direct exposure to novel questions at the intersection of artificial intelligence and IP law, as well as growth potential across other areas of an in-house practice group. You will partner closely with outside counsel, engineering stakeholders, and cross-functional teams to run the workflows behind a growing patent and trademark portfolio, maintain copyright and trade secret practices, and support open source compliance review. You will own day-to-day docketing and portfolio hygiene, manage outside counsel requests and billing against budget, and run intake and matter tracking so that nothing slips. You will also run our patent rewards program end-to-end and be a go-to resource for IP diligence support and IP-adjacent needs, including commercial and litigation support as needed. This role requires a genuine curiosity about using agentic AI systems to make the IP program run faster and more consistently, rather than treating AI tooling as an afterthought. This is a hands-on role for someone who is detail-obsessed, comfortable moving across multiple IP disciplines in the same week, fluent with AI and legal-technology tooling, and energized by building repeatable systems from the ground up so that a lean team can run a large, technically complex portfolio. If you are a curious person and your instinct when something breaks is to redesign the process, you will do well here. Key Responsibilities - Manage end-to-end workflows across the patent and trademark portfolios, including docketing, deadline tracking, filing coordination, portfolio maintenance, and status reporting to internal stakeholders. - Support trade secret protection practices and open source compliance review, including tracking disclosure and license obligations and flagging issues for attorney review. - Administer copyright matters, including registration filings, recordation, and portfolio record keeping. - Own intake and triage for new invention disclosures, trademark clearance requests, and other IP matters. - Manage outside counsel relationships and billing, including matter budgets, accrual tracking, invoice review against outside counsel guidelines, rate negotiation support, and matter-management hygiene in billing systems. - Run the patent rewards program. - Prepare and file U.S. trademark applications and coordinate foreign filings through local counsel. - Run preliminary clearance searches for new products and features. - Coordinate trademark office action responses, review watch notices, and recommend enforcement actions. - Manage the domain name portfolio and the online brand protection and takedown programs. - Conduct IP portfolio analysis, including filing trend tracking, competitive landscape monitoring, and gap identification, to support portfolio strategy and prosecution priorities. - Provide support on IP-adjacent matters as needed, including commercial contract IP terms and litigation support (e.g., document gathering, chronologies, and coordination with outside counsel). - Maintain and improve internal file management systems, trackers, and dashboards, keeping matter data, deadlines, and portfolio status current and audit-ready. - Build and improve the systems behind the work, including intake workflows, filing playbooks, matter templates, and escalation paths, so that recurring problems are solved structurally rather than absorbed by heroics. - Use and help evolve agentic AI tools to support IP workflows such as docketing, disclosure intake, prior art gathering, and portfolio reporting, and bring ideas for where automation can meaningfully improve program efficiency. Qualifications Need to have: - A sense of humor and a team mindset - 10+ years of experience as an IP paralegal, with a mix of in-house and law firm experience - Demonstrated AI tool fluency and genuine curiosity about applying agentic AI systems to IP program operations - Hands-on experience supporting a mix of patent and trademark prosecution workflows, including docketing, filing coordination, and portfolio maintenance - Working knowledge of copyright administration and trade secret protection practices - Experience managing outside counsel relationships, including invoice review, budget tracking, and adherence to outside counsel guidelines - Experience managing a high volume of concurrent matters and deadlines with strong organizational skills and exacting attention to detail - Ability to multitask and effectively manage competing priorities in a fast-paced startup environment - Excellent written and verbal communication skills, including the ability to correspond directly with outside counsel, inventors, and internal stakeholders - Demonstrated discretion and sound judgment when handling confidential and privileged material - Genuine interest in IP diligence work and in stepping into IP-adjacent needs as they come up, including commercial and litigation support Nice to have: - Paralegal certificate, associate's degree in paralegal studies, or bachelor's degree - Direct experience with open source license compliance review - Experience running or supporting an inventor recognition or patent rewards/incentive program - Experience supporting IP diligence for M&A, financing, or commercial transactions - Litigation support experience (e.g., discovery, document review, case file management) - Experience with IP portfolio analytics, competitive filing intelligence, or landscape mapping - Direct experience with docketing platforms, IP management software, and legal billing or matter management systems - Experience at a high-growth technology startup - Interest in artificial intelligence laws and regulations
Global Head of GTM Enablement
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role We’re looking for a Global Head of GTM Enablement to build and scale the programs, systems, and habits that help our GTM teams perform. As product delivery accelerates and our portfolio and sales motions grow more complex, you’ll ensure the field keeps pace—turning new capabilities into effective execution without adding unnecessary overhead. You’ll lead a distributed enablement team and partner with leaders across Sales, Marketing, Product, Customer Engineering, Deployed Engineering, and Revenue Operations. You’ll balance global standards with role and regional needs so priorities translate across regions and roles. Success means faster ramp, stronger field execution, and measurable contributions to pipeline and revenue—not simply more training. You’ll own the strategy and orchestration behind AI in the field: one consistent, continuously current body of GTM knowledge that the tools other teams build can rely on, so delivery, effectiveness, measurement, and scaling all improve as the field grows. You’ll be equally deliberate about where humans remain essential: the conversations and strategic direction that enabling GTM at large requires. What You’ll Do Set the global enablement strategy - Define and execute a GTM enablement strategy aligned with revenue growth, customer expansion, and market priorities. - Partner with executive and regional leaders to identify capability gaps and execution bottlenecks, directing investment toward the highest-impact opportunities. - Own enablement planning, budget, governance, and operating cadence, with clear priorities, ownership, and success measures across onboarding, technical and product enablement, and outbound enablement. - Decide where AI changes the enablement model and where human-led work stays, and set the standard the rest of GTM builds against. Build programs that improve field performance - Develop role-based enablement for Account Executives, Account Managers, Sales and Business Development Representatives, Partner/Channel Managers, Customer Engineering, and Deployed Engineering. - Tailor programs by segment, industry, and geography where it improves execution, preparing teams to support multiple use cases, buyer types, and platform opportunities. - Design and scale role-based 30/60/90-day onboarding that accelerates time to productivity and, for sellers, time to first deal. - Establish continuous learning, coaching, and certification programs that reinforce skills beyond onboarding. - Embed enterprise sales methodologies into day-to-day workflows, deal reviews, and pipeline inspections. - Equip frontline managers to reinforce skills, inspect execution, and coach consistently—making enablement part of how teams operate, not a separate training activity. - Structure programs so the knowledge behind them can be reused by AI-assisted practice, reinforcement, and certification, extending reach without proportional headcount. - Keep human coaching where it changes behavior, so scalable programs extend reach without replacing the conversations that build skill. Turn product knowledge into customer value - Partner with Product Management and Product Marketing to deliver timely, role-specific training and certification as new capabilities launch. - Own the internal training, practice, and reinforcement behind customer-facing messaging and assets, so GTM teams apply them effectively. - Turn product and market expertise into practical playbooks, competitive guidance, demo guides, and value-selling resources that are current, easy to find, and useful in customer conversations. - Own which assets are canonical, so every team and tool works from the same version as products and markets change. - Turn patterns from customer conversations, deal outcomes, and field feedback into updates to that knowledge, so what the field and its tools know keeps improving. Lead and scale a global team - Build, coach, and develop a high-performing team of enablement professionals supporting team members across the Americas, EMEA and APAC. - Establish clear decision rights and collaboration practices across global and regional teams, balancing consistency with local market needs and competitive dynamics. - Hire and develop for knowledge architecture and program strategy, not just content production, so the function can run without depending on you. Set the systems vision and own measurement - Set the enablement technology vision across learning, content management, and conversation intelligence, and work with GTM Systems and GTM Engineering to execute it, including embedding enablement into workflows. - Define what canonical GTM content exists, who maintains it, and how it stays current, so the tools GTM Systems and GTM Engineering build operate from one source instead of diverging copies. - Lead the orchestration across GTM Systems, GTM Engineering, Product Marketing, and Revenue Operations, setting requirements for how their tools consume, refresh, and contribute back to that knowledge so quality compounds rather than drifts. - Build measurement frameworks and executive reporting that connect enablement investments to skill application, behavior change, pipeline, and revenue outcomes across roles and regions. - Use performance data, manager input, and field feedback to continuously improve programs and prioritize resources. What You’ll Bring - 10+ years of relevant experience in GTM enablement within high-growth B2B SaaS organizations, including significant leadership experience. - A demonstrated track record of building and scaling global enablement teams and programs across multiple regions. - Experience supporting complex enterprise sales motions for technical products, enabling multiple GTM roles across use cases, buyer types, and the full buyer and customer lifecycle. - Practical AI fluency, with the judgment to lead strategy and orchestration rather than build tools yourself: what AI can carry, what the knowledge behind it must look like, and where human judgment stays in the loop. - Experience standing up or governing a shared knowledge or content system that multiple teams and tools depend on. - Deep expertise in enterprise sales methodologies such as MEDDPICC, Command of the Message, Challenger, or Value Selling—and a practical approach to embedding them into field execution. - Proven success designing onboarding, ongoing learning, product enablement, and manager coaching programs. - Experience partnering with systems and engineering teams to deliver enablement technology, with enough fluency to set requirements without owning the platforms yourself. - Strong analytical skills, with the ability to evaluate program effectiveness and communicate business impact to executive stakeholders. - Exceptional communication, storytelling, and cross-functional influence skills. - Credibility with field leaders and sellers, and the judgment to know when a conversation or coaching moment will move behavior more than a scalable program. - A builder’s mindset: the ability to define strategy, systems, and standards while staying close to execution in a fast-moving environment. - Bonus: experience leading or enabling customer-facing technical teams, such as Customer Engineering, Deployed Engineering, or Solutions Engineering, alongside a revenue organization. How We’ll Measure Success - Shorter time to full productivity across GTM roles and faster time to first deal for sellers. - Measurable contributions to improved win rates, average contract value, and pipeline velocity. - Consistent application of core sales methodologies, reinforced through frontline manager coaching and deal execution. - Demonstrated skill development and sustained behavior change—not just participation in training or adoption of tools. - Field readiness that keeps pace with product delivery and growing business complexity, with teams prepared to execute on new capabilities, use cases, and sales motions as they launch. - AI tools across GTM operating from one current knowledge base, with less rework, drift, and duplicated content, and less administrative work in delivery. - Broader enablement coverage at a lower cost per program, showing the field reached more often without proportional headcount. - Coaching quality as rated by managers and sellers, not just coaching activity. - Improved field and manager satisfaction with enablement, alongside positive trends in GTM team retention. Salary: $225,000-$255,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Research Engineer - Data Infrastructure
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 team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - 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 Research Engineer to join the research team at ElevenLabs, focused on the data infrastructure that powers our frontier AI models. The quality of our models is bounded by the quality and scale of the data behind them, and you will own the systems that make world-class data possible. You will thrive in this role if you enjoy: - Building large-scale data pipelines for collecting, processing, filtering, and transforming datasets used to train state-of-the-art models. - Training models used in our data processing pipelines, such as classifiers, quality filters, and labeling models. - Designing data curation strategies such as deduplication, quality scoring, labeling, and augmentation that measurably improve model performance. - Creating tooling and infrastructure that lets researchers explore and train on massive datasets quickly and reliably. Requirements We do not require any formal certifications or degrees. Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. Ideally, you bring: - Experience building data-intensive systems, ideally in support of machine learning training pipelines. - Strong engineering skills in distributed data processing at scale (e.g., Kubernetes, or custom pipelines over large datasets). - The capacity to autonomously evaluate how data quality, composition, and curation affect model outcomes, and to build the tooling to measure it. Bonus: Experience building or operating web crawlers. Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Research Engineer
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $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 team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - 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 Research Engineer to join the research team at ElevenLabs. You'll work at the frontier of audio AI, shaping the models behind products used by millions of people. You will thrive in this role if you enjoy: - Training state-of-the-art models - across any modality. - Pushing existing models further through post-training, data curation, architectural improvements, and novel training paradigms. - Designing rigorous benchmarks and evaluations that tell us whether a new model iteration is genuinely better - and why. Requirements We do not require any formal certifications or degrees. Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. Ideally you bring: - 3+ years of experience in the field of AI, with an emphasis on implementing, training, and improving machine learning models. - Demonstrated capacity to autonomously evaluate novel concepts or enhance existing machine learning projects, potentially contributing to published work. - Experience conducting exploratory research to improve the quality of gathered data. Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Commercial Counsel Fellowship
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. About the role Preferable to have someone near one of our offices in NYC or San Francisco. Runway’s Commercial Counsel Fellowship is an intensive, full-time, 1 year venture dedicated to fostering high caliber early-career lawyers who want to build real in-house experience at a fast-moving AI company. You'll work directly alongside our Commercial Counsel team on live deals from your first weeks, with hands-on training and mentorship along the way. No prior commercial or in-house experience is required. We care more about sharp judgment, strong writing, and a fast learning curve than a specific background. Comfort working in a highly technical, rapidly evolving area of the law is a must. Whether you're coming from a law firm, a clerkship, or straight out of law school, we'll teach you how to negotiate commercial agreements and partner with the business. What you'll do - Draft, review, and negotiate Runway's commercial agreements, including B2B SaaS customer contracts for our generative AI platform and APIs, DPAs, partnership agreements, and vendor agreements, taking on more complex deals as you ramp - Partner with the sales team with fast, practical answers that help close deals - Help scale and automate our commercial processes and tools, including templates, playbooks, contract review automation, and our legal tech stack - Learn the technical side of our generative AI products inside and out, so your advice to the business is grounded in how they work - Research and track technical, legal, and policy developments in generative AI, and share what matters with the team - Depending on your interests, contribute to projects across the broader legal team, such as privacy, IP, product counseling, or compliance What you'll get - Hands-on training in commercial contracting and in-house practice, with real ownership from early on - Mentorship from experienced in-house lawyers, with regular feedback on your work - Exposure to cross-functional teams across sales, partnerships, product, and marketing, and to the Runway Executive Team - A front-row seat to the legal questions shaping generative AI video - Potential to convert to a full-time role at the end of the fellowship, in Commercial Counsel or another area of the legal team What you'll need - A J.D. plus admission in good standing with at least one state bar (or sitting for the bar before the fellowship starts) - 0–3 years of legal experience, for example at a law firm, in a clerkship, in an in-house or government role - A strong academic record and excellent legal writing and analytical skills - Bias for action and a willingness to take ownership - Growth mindset and an eagerness to learn quickly, take feedback, and improve how things get done - Clear, practical communication with non-lawyers - Operational mindset - Excitement about generative AI and motivation to continuously learn more about the legal landscape governing a new and exciting industry Nice to have - Exposure to technology transactions, SaaS agreements, IP, or data privacy, through practice, coursework, a clinic, or a summer associate role - Experience using AI tools in your own legal work - Familiarity with how AI or software products are built FAQs - Are there specific fellowship start dates or can I start anytime? - We do not currently have specific start dates. Start dates can be year round. - I am 10 years out of law school. Can I still apply for the fellowship? - The fellowship is meant for early-career lawyers (first 3 years of legal practice). However, lots of lawyers take different, non-traditional paths. If you are an experienced lawyer who is early in your commercial counsel career, you are still welcome to apply. Explain your career transition and interest in commercial legal work in your application. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC
Member of Technical Staff (Search Crawler Analyst)
The internet is vast, containing trillions of URLs. Perplexity’s crawling and storage system is complex and has multiple stages (URL discovery, crawling, parsing, indexing). Each stage offers many opportunities for improvement and room for intricate bugs. You’ll work at the intersection of data analysis and engineering — designing metrics, building data pipelines, and improving the quality of our search and answer systems. Responsibilities - Find and diagnose quality issues in our crawling pipeline - Train small models that optimize particular aspects of the pipeline (e.g. parsing quality) - Build datasets for model training, including LLM-as-a-judge labeling pipelines - Improve page selection algorithms for indexing - Design and analyze experiments to validate improvements Qualifications - 4+ years of experience as a data analyst, ML engineer, or in a related role - Strong coding skills: you should be able to write production-grade code at the level of a mid-level backend engineer - Experience designing metrics from scratch - Experience training ML models that shipped to production with measurable metric improvements Nice to have - Direct experience working on web crawling or indexing pipelines
Technical Program Manager, Research Compute Servic...
About the Team Research Compute Services builds the systems that help researchers use OpenAI’s compute fleet effectively. We partner with Research and Compute Infrastructure to support workloads across the compute stack, including pretraining, synthetic data generation, sampling, research inference, and reinforcement learning. Our work connects changing research needs with capacity planning, allocation, and scheduling. We build tools and services that help researchers express their compute needs, access the right resources, and run their workloads effectively. As the fleet and our research ambitions grow, we continually improve how compute is planned, allocated, and used. About the Role You will be part of an engineer-first TPM team, partnering closely with the Research Compute Services team. Your primary responsibility will be to build and own the tools, data, and platform that turn Research plans and workload signals into concrete compute demand and manage allocations across the fleet. This is a hands-on technical role. You will build alongside researchers and engineers, working directly with code and data to prototype solutions, automate workflows, and deliver tools that teams use every day. You will combine technical judgment and program leadership to connect capacity planning with the deployment, scheduling, and optimization systems that make allocated compute usable. You will work across a broad range of Research workloads, understanding their different requirements and ensuring those needs shape the platform. Success means researchers can express their needs, understand their allocations, and use compute effectively as priorities and workloads change. In this role, you will: - Build with Research. Work directly with researchers across pretraining, research inference, and other workloads. Treat these communities as core users, and translate their needs into improvements across compute services, tooling, and scheduling. - Own Research demand and allocation systems. Own the roadmap and delivery of the tools, data, and platform used to capture demand, support allocation decisions, and manage allocations. Carry this work from requirements and design through adoption and ongoing improvement. - Turn research plans into actionable demand. Develop systems that translate evolving plans and workload requirements into concrete capacity needs, including resource requirements, timing, and constraints. - Connect capacity supply and demand. Partner with Capacity Planning, Research, and infrastructure teams to reconcile demand with available supply. Build the tools and workflows needed to evaluate scenarios, manage changes, and make allocation tradeoffs visible to decision makers. - Build reliable data and useful tools. Create data models, views, and automation that show what researchers need, what capacity is available, what has been allocated, and how it is being used. Improve self-service workflows for requesting and managing compute. - Connect allocations to workload execution. Partner with engineers working on Kubernetes deployments and scheduling systems so allocation plans reflect workload constraints and translate into resources that researchers can use. - Improve allocation and scheduling efficiency. Work with engineers to evaluate optimization approaches, including solvers operating at fleet and local scheduling levels. Help define constraints and objectives, assess tradeoffs, and measure improvements in fleet utilization. - Find and address systemic gaps. Use workload and fleet data to identify bottlenecks, unused capacity, and recurring manual work. Build durable improvements to the tools and systems behind those problems. - Lead technical delivery across teams. Own plans, dependencies, and decisions across Research, Research Compute Services, Capacity Planning, and infrastructure engineering. Keep teams aligned on what needs to be built, how it will be adopted, and who will operate it. - Make progress and tradeoffs clear. Give working teams and leadership a clear view of demand, allocation constraints, delivery progress, and decisions that need attention. You might thrive in this role if you: - Have a strong engineering foundation, developed through relevant education or demonstrated technical experience. - Have led and delivered complex technical programs involving large-scale compute, distributed systems, infrastructure platforms, or research environments. - Have practical experience with capacity planning, including supply and demand management, compute allocations, and the tools and data that support those decisions. - Have personally built or materially contributed to tools, data systems, or automation used by engineering or research teams. You are comfortable working directly with code and operational data. - Are familiar with Kubernetes deployments and scheduling systems, and understand how resource constraints and placement decisions affect workload execution. - Understand optimization solvers and can reason about their use in fleet-wide allocation and local scheduling. You can evaluate constraints, objectives, and tradeoffs without losing sight of researcher needs. - Can work closely with researchers to understand evolving requirements and translate them into systems that are practical to build and useful in daily work. - Can take ownership of ambiguous technical problems, establish a clear path forward, and bring complex work through delivery and adoption. - Communicate technical decisions, constraints, and priorities clearly across engineering, Research, and leadership. - Are resourceful, comfortable with changing priorities, and motivated by improving both researcher productivity and compute efficiency. - Are interested in and thoughtful about the impacts of AGI. 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.
Strategic Account Executive - Switzerland
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 team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - 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, driven Strategic Account Executive to drive ElevenLabs' growth across Switzerland's largest enterprises. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Swiss brands and is passionate about the transformative possibilities of AI voice technology. In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents — our end-to-end platform for building and deploying AI voice agents — to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: - Build and manage a growing portfolio of strategic accounts across Switzerland to help ElevenLabs meet its revenue goals. - Identify new business opportunities where ElevenLabs' conversational AI capabilities, including ElevenAgents, can drive customer engagement, contact center automation, and operational efficiency for consumer and retail brands. - Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers. - Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends, particularly as they apply to Swiss consumer and retail organizations operating at scale. - Demonstrate expertise, or a strong willingness to learn, about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants. - Develop and execute account strategies to expand ElevenLabs' presence within the Swiss consumer and retail sector, navigating complex procurement and organizational structures. - Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts. - Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements - 7+ years of quota-carrying strategic sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms. - Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement. - Well-connected in the Swiss consumer and retail landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C-suite and board level. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Deep understanding of enterprise procurement and legal processes in Switzerland, with the ability to accelerate deal velocity within complex organizational structures. - Comfort operating in an early-stage, high-growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer and product-driven mentality that prioritizes client satisfaction and scale. - Swiss German is the preferred default language for this role; fluency in both Swiss German and French is a strong plus given Switzerland's multilingual market. Strong English is also required for internal collaboration. Location This is an in-country role based in Zurich. 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. 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.
Strategic Account Executive - Colombia
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 team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - 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 Colombia 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 - 7+ 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 based in Colombia 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.
Analytics Engineer
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $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 team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - 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 Analytics Engineer to join our Data team as one of its first hires. You will own the transformation layer between raw data and business decisions: modelling our data in dbt, defining the certified metrics the company runs on, and setting the standards that every analyst and data scientist at ElevenLabs builds. - Drive the implementation of a world-class metric layer for the company: modelling conventions, project structure, testing, CI, and documentation. - Design and maintain the certified KPI layer for product (activation, adoption, retention, usage), finance (billing, ARR, revenue), and company-wide topics, built to withstand audit scrutiny. - Partner with Data Engineering on evolving the data warehouse architecture, and with stakeholders to turn ambiguous questions into trusted, reusable data products, including data served through AI agents. Requirements Demonstrated experience building and scaling a dbt project and metrics layer, ideally as one of the first analytics engineers on a growing team. - Expert knowledge of dbt and advanced SQL (required); strong grasp of dimensional modelling, grain, and incremental patterns. - Proficiency across the modern data stack (BigQuery or similar warehouse, Python, BI tools such as Looker). - Rigour around data quality: you test, document, and reconcile by default, and you spot a model that runs cleanly but is quietly wrong. - Strong ability to understand varied stakeholder requirements, push back where needed, and translate them into generalised, well-documented models. Bonus: - Experience modelling billing, subscription and ARR data (Stripe, Salesforce) or product event data at scale. - Experience serving data to LLM-based agents or building semantic / metrics layers consumed by AI tools. - Experience with CI for data (Slim CI, data contracts, PII policy tags) and infrastructure-as-code for warehouse access. Location This role is remote-first, so it can be executed from anywhere in Europe, with the ability to operate in GMT and GMT+1 timezones. If you prefer, you can work from our offices in London and Warsaw. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Account Executive - Enterprise - Telecommunication...
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 team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - 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 the telecommunications industry - including wireless carriers, broadband providers, cable companies, and other communications service providers. Telecommunications companies support millions of customer interactions every day across service, sales, billing, technical support, retention, and field operations. Voice is already central to how these businesses engage with customers, creating a significant opportunity for conversational AI to improve customer experience, increase efficiency, and unlock new revenue. Our ideal candidate is passionate about the transformative potential of AI voice technology and eager to act as a strategic partner, helping leading telecommunications companies reimagine how they serve, support, and communicate with their customers. In this role, you will - Build and manage a growing portfolio of enterprise telecommunications accounts to help ElevenLabs achieve its revenue goals - Identify opportunities where conversational AI can drive growth, automation, or cost efficiency across customer-facing and internal workflows - including customer care, technical support, sales, retention, billing, collections, field service, employee enablement, and multilingual communications - Develop and maintain a deep understanding of the telecommunications and conversational AI landscapes, including customer priorities, competitive solutions, emerging technologies, and evolving customer expectations - Demonstrate expertise around how ElevenLabs’ voice technology can create value across contact centers, virtual agents, in-app assistants, outbound communications, branded voice experiences, and creative content - Develop and execute account strategies across the full buying group - including Customer Experience, Care and Operations, Digital and Product, IT and Engineering, Marketing, and Procurement - landing with one high-impact use case and expanding across business units, customer journeys, and markets - Navigate complex telecommunications environments and identify opportunities to integrate ElevenLabs with existing contact center, CCaaS, CRM, and operational technology ecosystems - Partner closely with Forward Deployed Engineers to design high-impact solutions, manage successful Proofs of Value with customers, and establish a path to scaled production deployment - Serve as a trusted advisor by educating customers on generative AI and voice while helping shape ElevenLabs’ telecommunications playbook, including our ICP, messaging, use cases, and customer 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 telecommunications companies - including wireless carriers, broadband providers, cable companies, or other communications service providers - An established network and strong relationships across the telecommunications industry - Proven success closing seven figure deals and managing complex, multi-stakeholder sales cycles - Experience selling to both technical buyers - such as Product, Engineering, IT, and Architecture, and business buyers across Customer Experience, Care, Operations, Digital, and Marketing - Ability to understand a customer’s business, operational environment, and requirements for success, then translate ElevenLabs’ capabilities into solutions that deliver measurable value - Proficiency navigating enterprise procurement, security, legal, and technical validation processes, with the ability to operate autonomously and partner effectively across functions - Strong executive presence, the ability to build relationships at the C-suite and senior leadership level, and a willingness to travel frequently for onsite customer meetings and industry events - Comfort operating in an early-stage, high-growth environment where ambiguity is the norm and priorities evolve quickly - Passion for voice and audio AI and its potential to transform customer experience across the telecommunications industry Location This role is remote-first and can be based anywhere in the United States; however, the ability to operate across EST, CST, or PST time zones is required. We have a preference for candidates based in New York or San Francisco, with the option to work from one of our offices. 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.
Account Executive - Enterprise - Financial Service...
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 team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - 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 Financial Services: the banks, credit unions, insurers, lenders, and wealth managers people trust with their money, their families, and their futures. These institutions win or lose on trust and service at massive scale, under some of the most demanding regulatory standards anywhere. Their customers increasingly expect to talk, not type, whether they’re checking a balance, disputing a charge, filing a claim, or asking about a loan. Our ideal candidate learns fast, closes well from a warm introduction, and is passionate about AI voice technology. You’ll act as a strategic partner to institutions reimagining how they serve, sell to, and sound to their customers, safely and at scale. In this role you will: - Focus on prospecting and landing net-new customers to expand the market footprint that ElevenLabs has in the financial services industry. - Be able to balance a diverse pipeline of large financial institutions who require white glove experience with medium sized regional clients who require speed to close - Identify where conversational AI can drive growth, automation, or cost efficiency in customer-facing and internal workflows. Our public use cases include account inquiries, payment support, fraud triage, loan origination, claims processing, collections, and compliance verification. Others include caller verification, onboarding, policy servicing and renewals, and contact center coaching - Stay current on the conversational AI landscape, including competitive solutions, build-vs-buy dynamics, and emerging trends in AI governance and model risk - Develop and execute account strategies across the whole buying group (CX and Contact Center Operations, Digital and Product, Technology, and Risk, Compliance, Legal, and InfoSec), landing with one high-impact use case and expanding across lines of business - Partner closely with Forward Deployed Engineers to solution high-impact use cases, manage a successful Proof of Value, guide customers through model-risk, security, and architecture review, and set them up to scale in production - Partner closely with Legal teams to drive strategic, fast-moving negotiations - Serve as a trusted advisor on generative AI and voice, and share what you learn in the field to sharpen our Financial Services positioning, messaging, and references Requirements - At least 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 - Financial services experience (banks, credit unions, insurers, lenders, payments) is preferred but not required. We weigh demonstrated adaptability and fast ramp in a new industry heavily - Proven success closing [six- and seven-figure] deals and managing complex, multi-stakeholder sales cycles - Proven ability to take a warm introduction through discovery, Proof of Value, and procurement to close - Experience selling to both technical buyers (product and engineering) and business buyers (CX, operations, digital), and to risk and compliance gatekeepers, translating complex technology into business value - Adept at deeply understanding a customer’s business and translating ElevenLabs’ capabilities into solutions that deliver against their needs - Proficient in enterprise procurement, security review, and legal processes, including regulated-industry vendor risk, model risk, and data protection reviews, and able to work autonomously as a cross-functional partner - Strong executive presence, the ability to build relationships with senior executives, and willingness to travel frequently for onsite client visits and conferences - High EQ, self-aware, and curious. Low ego and hands-on, comfortable running your own prospecting and deals - Comfort in an early-stage, high-growth environment, where ambiguity is the norm and the state of play changes rapidly - Passion for voice and conversational 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.
VP of Services, Customer Success & Support
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Cohere seeks an experienced and passionate VP of Services, Customer Success & Support to lead our Customer Success and Support teams. In this role, you will be responsible for leading and developing a talented post-sales Customer Success and Support team, who are the primary owners of business and technical relationships with our customers. The ideal candidate will have a background leading post-sales teams in the ML/AI/Data Engineering industry. In this role you will: - Drive product adoption and customer experience for our largest customers. - Define the customer lifecycle including roles and responsibilities, handoffs, and workflow & influence the product roadmap. - Lead customer-facing teams, including coaching sub-function leaders (Customer Success, Services, Technical Support) to ensure that all teams are aligned and focused on delivering an exceptional customer experience. - Measure and analyze customer data to identify trends and areas for improvement, including analyzing customer feedback, support metrics, and other customer-related data to develop insights that can be used to improve the customer experience, troubleshoot issues and showcase Cohere’s value proposition. - Enhance the customer journey, identifying the key touch points across interactions with customers and developing strategies to optimize each step of the journey. - Champion the customer within the organization, advocating for the customer in all decision-making processes at the executive level to ensure that customer needs are taken into account when making strategic decisions. - Collaborate and partner with other internal teams (pre-sales, Product Management, Machine Learning Engineerings) to ensure that the voice of the customer is represented in strategic decisions. You may be a good fit, if you have: - 10+ years of leadership experience developing top-performing teams in Customer Success, Technical Support and Services. - Work experience in the AI, ML, Data Engineering, Cloud, SaaS or Tech Infra industry. - Proven experiences being highly focussed on customer needs, you're an amazing relationship builder and you can proactively spot opportunities to engage customers and build loyalty. - An exceptional collaborative mindset and know how to engage and communicate with leadership and technical & non-technical stakeholders. - Strong experience building strategy, a willingness to execute and build from the ground up & are always willing to dig deeper and jump in when it comes to our customers. 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.
Senior Product Designer
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 looking for a Senior Product Designer to help shape the future of our modelling products at Cohere. In this role, you will design intuitive experiences for complex workflows, working at the intersection of cutting-edge technology and user needs. You'll collaborate closely with product managers, engineers, and the ML team, owning the end-to-end design process and acting as a key stakeholder in prioritization and strategy decisions. You'll work on experiences that are defining how models are trained and deployed, and your contributions will directly impact real people in their daily work. What You'll Do - Own the design process end-to-end for your product area, identifying opportunities to improve user experience and drive product impact - Design intuitive, user-friendly experiences that balance technical complexity with accessibility and ease of use - Collaborate closely with product managers, engineers, and stakeholders throughout the product development lifecycle - Conduct user research to understand needs, validate design decisions, and translate insights into actionable design improvements - Maintain a high craft and quality bar, ensuring every detail contributes to a cohesive and polished experience - Contribute to design systems and patterns that scale across the North platform - Partner with engineering to ensure designs are implemented with fidelity and make pragmatic tradeoffs when needed You're Likely a Good Fit If You Have - Product Design Experience: You have 4+ years experience designing digital products with a strong portfolio that demonstrates your process, systems thinking, and measurable impact on user outcomes. - AI and Agentic Fluency: You have a strong understanding of AI concepts and agentic systems, including how models reason, use tools, and orchestrate multi-step workflows. You stay current on AI trends and can design interactions that make complex agentic behaviours understandable and controllable for users. - Cross-Functional Partnership: You have a collaborative approach to product development, working closely with Product Managers to identify opportunities, with Engineers to navigate technical constraints and review implementations, and with stakeholders across the organization to align on solutions. - User-Centered Approach: You have a deep commitment to understanding user needs through research, data, and direct engagement. You drive research initiatives, translate findings into design decisions, and stay informed on industry trends that shape the product landscape. - Design Excellence: You have a meticulous attention to craft and detail. You're proficient in Figma, build scalable patterns and systems, and consistently elevate the quality of everything you touch. Bonus points for strong visual design skills in typography, layout, colour, and composition. - Communication Skills: Clear, proactive communication that keeps distributed teams aligned. You document decisions, articulate design rationale to diverse audiences, and create shared understanding across geographies and disciplines. 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.
Web Design Manager
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 Web Design Manager at Anthropic, you will lead the enterprise web design team responsible for how businesses experience Anthropic on the web. Our website is often the first place enterprise buyers encounter Claude, and the pages your team ships need to make complex, technical products feel clear, distinctive, and trustworthy. You'll bring a strong art director's eye to every project, set the craft standard, shape design direction for the next stage of our enterprise web presence, and build a team that does the best work of their careers. In this role, you'll own the enterprise web design practice: setting priorities, guiding projects from brief to launch, and holding a high bar for visual quality, storytelling, and performance. We're looking for someone who cares deeply about craft and knows how to use art direction (imagery, typography, motion, and composition) to tell a clear, memorable story on every page. You'll partner closely with enterprise marketing as your main day-to-day collaborators on priorities, messaging, and launches, and work alongside web engineering, web strategy and growth, brand and creative, sales and customer teams, product, and external agency partners to ship work that is both beautiful and effective. Key responsibilities - Lead and manage the enterprise web design team, including hiring, coaching, feedback, and career growth - Own the craft standard for enterprise web design, ensuring pages are distinctive, clear, and performant - Set clear priorities and ways of working for the team in partnership with marketing and design leadership - Guide projects from brief to launch, turning marketing asks into clear creative direction - Provide hands-on art direction across imagery, illustration, typography, motion, and layout so every page tells a cohesive, compelling story - Coach designers on craft and visual storytelling, giving specific, actionable feedback that raises the quality of the work - Partner closely with campaign, product, and segment marketers on messaging, launches, and day-to-day priorities - Develop the design direction for the next stage of Anthropic's enterprise web presence, in support of company goals - Partner with web engineering to ensure designs ship with high quality and strong performance - Collaborate with SEO, analytics, and growth partners to measure results, run experiments, and improve conversion - Present design work and rationale to stakeholders, explaining decisions simply and pushing back clearly when needed - Build consistency across channels in partnership with brand, creative, and copy teams - Manage external agencies and design partners on larger web projects - Track the performance of shipped work and use data to inform, not replace, creative judgment Minimum qualifications - Have deep web design experience, including directly managing web or creative designers - Have a portfolio of shipped web work that demonstrates strong craft, storytelling, and a clear point of view - Have strong art direction skills and a sharp eye for detail, with experience directing visual concepts from idea to polished execution - Think like a storyteller, shaping narrative and pacing across a page or campaign so design carries the message - Have designed for complex, multi-audience websites at scale, ideally for technical or enterprise products - Can turn complicated products into pages that are distinctive and convert - Are comfortable holding a high bar on tight timelines and making smart tradeoffs under pressure - Work well with marketing partners, translating asks into direction and pushing back with clarity and care - Understand web performance and use data and experiments well, without letting metrics replace creative judgment - Enjoy building teams, giving direct feedback, and helping designers grow - Can explain design decisions simply to stakeholders across functions - Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - Experience at companies known for exceptional web craft on technical products - Familiarity with enterprise buyer journeys and designing paths to conversion - Experience partnering with SEO, analytics, and growth teams on experimentation programs - A background working closely with engineers on design systems, performance, and implementation quality - Experience managing agencies or external design partners on large web initiatives - Strong writing or content design sensibility that strengthens storytelling on the page - Experience setting design direction during periods of rapid company growth 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: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Scaled Account Manager, Beneficial Deployments
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 Nonprofits, universities and other mission-driven organizations do some of the hardest work in the world, usually with small teams and little technical capacity. As a Scaled Account Manager in Beneficial Deployments, you will be the person a named book of these organizations can rely on. You will own each customer relationship after the first conversation, including commercials, activation and the conversations that turn a new deployment into everyday use. This role sits on the Scaled Sales team within Beneficial Deployments, the part of Anthropic that brings Claude to mission-driven organizations sooner and further than the market would on its own. You will work with little to no dedicated Customer Success support, so you are both the seller and the person who helps a customer get real value. That is only possible if you work differently. You will use Claude to take on the short-horizon tasks that consume a book like this, and spend your time on strategic conversations. The role will also change. As we automate more of this work, the book will take less of your time, and that time moves to growth: deeper work with your highest-potential accounts, launches, events and programs that reach many more organizations. We are hiring someone who wants that: someone who will automate parts of their own job and move on to the next hard problem. What you'll do - Own a named book of nonprofit and education customers. Take over existing relationships and run them end to end: retention, seat growth, plan moves and new contacts inside each organization. - Drive activation yourself. Help priority customers in the segment go from purchased seats to weekly use, starting with where staff lose the most time: fundraising, grant writing, reporting and program operations at nonprofits, or research support, teaching and administration in higher ed. - Automate your own work. Use Claude to handle account research, follow-ups, usage reviews and routine questions, then share what works so the whole team can use it. - Spend your time on strategic conversations. Work with executive directors, operations leads, and IT and academic leaders at universities to find the use cases that matter to their mission and agree what success looks like. - Spot who is ready for more. Identify customers moving from individual productivity toward redesigned workflows, build the case, and bring in Applied AI or other specialists when they qualify for deeper support. - Build programs, not one-offs. When ten customers have the same problem, create a playbook, webinar or cohort that solves it once. - Be the voice of your book. Bring what you hear to Product, Marketing, Support and Operations, and work across those teams to get customer problems fixed. Where your time goes as we automate The role starts mostly account-facing. Over roughly the first six months, we expect Claude to take on much of the routine work, and your time shifts toward growth. Examples of where it goes: - Deeper with priority accounts. Spend real time with the 10 to 15% of your book that can move from individual productivity to redesigned workflows, and get them there. - Quarterly launches. Beneficial Deployments brings new offerings to the nonprofit and education community each quarter. Help drive them: coordinate across Marketing, Comms and partner teams, and make sure your customers benefit. - Events. Help shape and run the events, local and eventually international, that become a core part of how we reach new organizations. - New signups and scaled partnerships. Contribute to the motions that bring new organizations onto Claude, including partner channels and programs for segments we don't yet serve well. The exact mix will change, and you will help decide it. Part of the job is working out which tasks should be automated and which still deserve a person's time. You may be a good fit if you have - 3+ years of account management or customer success experience with nonprofit or higher education customers, with a proven track record of growing retention and driving adoption of new technology - Have owned customer relationships in an account management or customer success role, and can point to accounts you grew, retained or turned around - Use AI in your own work today, and can show a workflow you built that gave you real time back - Bring structure to unfamiliar problems, and can move from a messy situation to a clear plan quickly - Have run multi-step programs or projects with several stakeholders and kept them on track - Have got things done through people you did not manage, across teams in a larger organization - Stay effective when your job changes, and would see automating part of your role as a win - Can explain AI plainly to people who are skeptical, busy or new to it - Care about the mission of nonprofits and educational institutions, and about AI being developed and deployed safely Strong candidates may also - Have built something from zero, such as a company, a product, a sales motion or a new program, or been an early employee at a startup - Have a consulting background, with experience across many sectors and problem types - Have worked at an AI-native company or sold AI products, or moved from business development into owning accounts - Have worked in or with nonprofits, foundations, Universities or other mission-driven organizations - Understand how nonprofits and universities buy, including boards, funders, procurement cycles and tight budgets - Have used usage data to prioritize a large book of accounts 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: $222,800 - $290,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Recruiter, GTM - Singapore
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a results-driven Go-To-Market (GTM) Recruiter to help establish and scale our teams across GTM functions in the APAC region. Based in Singapore, you'll be instrumental in our expansion, serving as one of the founding Recruiting hires in the region while building exceptional teams from the ground up. This role requires someone who can bridge cultural gaps, maintain Anthropic's high standards, and work collaboratively with our Business teams and leaders to establish our local presence. The ideal candidate thrives in ambiguous, fast-paced environments and excels at building relationships across diverse cultural and business contexts. Key Responsibilities: - Drive full-cycle recruiting for multiple GTM teams while establishing recruiting infrastructure and processes in APAC - Develop culturally-informed sourcing strategies to attract top talent for Singapore, with potential expansion to broader APAC markets - Partner with regional leaders and HQ to provide consultative guidance on talent acquisition strategy while adapting global practices for local markets - Leverage AI tools, including Claude, to innovate recruiting processes and drive efficiency across time zones - Provide market intelligence on compensation trends, talent availability, and cultural considerations while coaching hiring managers on regional best practices - Serve as a cultural ambassador, ensuring candidates understand Anthropic's mission while advocating for regional talent needs with global leadership - Build foundational recruiting processes, systems, and partnerships with local agencies, universities, and professional networks You may be a good fit if you: - Have 8+ years of full-cycle recruiting experience in high-growth GTM functions in APAC markets - Excel at building processes from scratch while managing multiple concurrent searches in ambiguous environments - Are passionate about leveraging technology and AI to transform recruiting processes - Have exceptional communication skills with ability to work effectively across cultural contexts - Demonstrate cultural sensitivity and ability to navigate complex stakeholder relationships across regions and time zones - Have experience with data-driven recruiting and metrics-based performance tracking in international contexts - Understand nuances of hiring practices, employment law, and professional norms in Singapore - Have experience working with distributed teams across significant time zone differences Strong candidates may also: - Have experience recruiting for AI or deep technology companies in APAC markets - Demonstrate success in establishing recruiting functions during international expansion - Show expertise in building company culture and employer brand in new markets - Have established networks within Singapore’s technology ecosystem 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Recruiter, GTM - Seoul
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a results-driven Go-To-Market (GTM) Recruiter to help establish and scale our teams across GTM functions in the APAC region. Based in Seoul, you'll be instrumental in our expansion, serving as the founding Recruiting hire in the market while building exceptional teams from the ground up. This role requires someone who can bridge cultural gaps, maintain Anthropic's high standards, and work collaboratively with our Business teams and leaders to establish our local presence. The ideal candidate thrives in ambiguous, fast-paced environments and excels at building relationships across diverse cultural and business contexts. Key Responsibilities: - Drive full-cycle recruiting for multiple GTM teams while establishing recruiting infrastructure and processes - Develop culturally-informed sourcing strategies to attract top talent for Korea, with potential expansion to broader APAC markets - Partner with regional leaders and HQ to provide consultative guidance on talent acquisition strategy while adapting global practices for local markets - Leverage AI tools, including Claude, to innovate recruiting processes and drive efficiency across time zones - Provide market intelligence on compensation trends, talent availability, and cultural considerations while coaching hiring managers on regional best practices - Serve as a cultural ambassador, ensuring candidates understand Anthropic's mission while advocating for regional talent needs with global leadership - Build foundational recruiting processes, systems, and partnerships with local agencies, universities, and professional networks Minimum Qualifications: - Are fluent in English and Korean (native or business-level proficiency), showing exceptional communication skills with ability to work effectively across cultural contexts - Have 8+ years of full-cycle recruiting experience in high-growth GTM functions in APAC markets - Excel at building processes from scratch while managing multiple concurrent searches in ambiguous environments - Are passionate about leveraging technology and AI to transform recruiting processes - Demonstrate cultural sensitivity and ability to navigate complex stakeholder relationships across regions and time zones - Have experience with data-driven recruiting and metrics-based performance tracking in international contexts - Understand nuances of hiring practices, employment law, and professional norms in Korea - Have experience working with distributed teams across significant time zone differences Preferred Qualifications: - Have native or business-level proficiency in Japanese - Have experience recruiting for AI or deep technology companies in Asian markets - Demonstrate success in establishing recruiting functions during international expansion - Show expertise in building company culture and employer brand in new markets - Have established networks within Korea and Japan's technology ecosystem 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Recruiter, GTM
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a talented and driven Recruiter to partner with our Go-To-Market teams. In this role, you'll help build the teams that bring safe, frontier AI to the organizations that depend on it, spanning Sales, Partnerships, Public Sector, and Beneficial Deployments. GTM is one of the fastest-growing parts of Anthropic, and the market for this talent is competitive and fast-moving. The people we hire need an unusual combination of commercial ability and genuine domain depth. You'll own full-cycle recruiting for a portfolio of GTM roles, act as a strategic partner and trusted advisor to hiring managers and leaders, and help shape how we assess commercial talent as we scale. You'll develop a real understanding of each hiring manager's goals, the markets they serve, and the profiles that succeed against them. Many of the roles you support will be new or evolving, and you'll have significant influence over interview loops, calibration practices, sourcing strategy, and how we talk about this work to candidates who have options. You'll also be one of the people candidates remember. For many, you'll be their first real window into what it's like to work here. This is an individual contributor role with meaningful autonomy. We expect you to run your searches independently, make judgment calls without waiting for direction, and be the person your hiring managers turn to first on anything talent-related. It's a strong fit for someone who is energized by a high bar, comfortable operating in ambiguity, and genuinely interested in the mission our GTM teams are selling. Key responsibilities - Own full-cycle recruiting for GTM roles, from intake through offer and close, with a strong emphasis on candidate experience and stakeholder partnership - Build and maintain strategic relationships with hiring managers and leaders, serving as their primary partner on hiring and translating their goals into calibrated role requirements, must-have skills, and assessment criteria - Become an expert in the markets our GTM teams serve, understanding where the talent sits, what motivates it, and what distinguishes a strong candidate from a plausible one - Build and execute sourcing strategies for competitive, specialized commercial talent, including targeted outreach campaigns, market mapping, and cultivating talent pools that don't yet exist as pipelines - Advise GTM leaders on talent market conditions, compensation dynamics, pipeline health, and realistic timelines, including when a search needs to be reframed - Design and refine interview loops, intake practices, and assessment approaches for roles that are new or evolving, partnering with hiring managers to define what "good" looks like before the first candidate enters the process - Maintain an inclusive and consistent process, using structured interviews and calibrated criteria that reduce the influence of bias on hiring decisions - Partner with Recruiting Operations to use pipeline data and metrics to diagnose bottlenecks and inform resourcing decisions, process improvements, and candidate experience - Serve as a thought partner to hiring managers on organizational design questions, including what a team actually needs, how roles should be scoped, and where a hire will and won't solve the problem - Represent Anthropic's mission, culture, and approach to AI safety authentically to commercial candidates You May Be a Good Fit If You - Have 5+ years of full-cycle recruiting experience, including sourcing, assessing, and closing candidates, ideally with time in a high-growth technology company - Have recruited for commercial or Go-To-Market functions such as Sales, Customer Success, Solutions Architecture, Partnerships, or Marketing - Have a demonstrated ability to partner with and influence hiring managers and senior stakeholders, including pushing back when a search is mis-scoped - Have strong written and verbal communication skills, including a knack for writing outreach that specialized candidates actually respond to - Are able to use pipeline data to diagnose problems and inform decisions - Are proficient with an applicant tracking system and sourcing tools such as LinkedIn Recruiter - Can manage competing priorities and operate with autonomy in a fast-changing environment - Have a passion for AI's potential to positively impact the world, along with a realistic assessment of its risks and limitations - Bring an enthusiastic "roll up your sleeves" mentality and are a true team player Strong Candidates May Also - Have recruited in a market where the talent you need is scarce, expensive, and heavily courted, and have found creative ways to win - Have experience with Greenhouse and with structured interviewing practices - Be open to non-traditional talent strategies, and enjoy working with hiring managers who are willing to experiment - Have supported technical GTM roles such as Solutions Architects or Forward Deployed Engineers, and can hold a credible conversation about technical scope - Have experience building or scaling a recruiting function, process, or interview loop from an early stage - Have a track record of building high-performing teams in a rapidly scaling environment The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
People Services Partner, Compliance
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 hiring a People Services Partner, Compliance. People Services runs the day-to-day operations that keep the employee lifecycle moving, which includes making sure our processes and programs are compliant. We are looking for someone with a strong People Ops foundation, who is excited to take ownership of our existing compliance workstreams and build the program as the company grows. This is a hands-on role where you will represent People Services in audits, manage our background check program, and prepare and file required reporting. You will work closely with partners across the company (including People Legal, People Systems, Payroll, Internal Audit, and our broader company Compliance team) to turn compliance requirements into clear, scalable processes. Key responsibilities Program management - Work with People Services to create and refine processes across onboarding and the employee lifecycle. - Manage our global background check program, which includes owning our vendor partnership. - Prepare for obligations that come with new locations, headcount thresholds, or new regulations, partnering with Legal to understand them and design solutions. - Manage an HR compliance calendar to track compliance programs and deadlines globally. - Proactively look for ways to streamline and automate the work in your scope, making compliance easy to navigate for our team and our partners. Audits, reporting, and governance - Support internal and external audits by documenting our controls, gathering evidence, and walking auditors through our processes. - Collaborate with cross-functional partners on controls that touch multiple teams, ensuring clear roles and responsibilities within these processes. - Prepare and file required government reports, partnering with People Systems to build scalable reporting solutions. - Serve as the People Services point person on relevant policies, reviewing existing ones and collaborating with policy owners on new ones. Minimum qualifications - Have worked on HR compliance and governance across multiple countries (including the United States) - Have represented People Operations in internal and external audits - Have prepared and filed required government reporting - Communicate clearly with partners, auditors, and employees, flexing your communication style for your audience - Enjoy navigating ambiguity and being the one to help drive clarity - Move quickly without sacrificing quality or introducing risk Preferred qualifications - Have 6+ years working in HR/People Ops - Have experience building and leading an HR compliance program - Have experience scaling a global background check program - Have experience managing processes and data in Workday, including building custom Workday reports The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $235,000 - $235,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Manager, Forward Deployed Engineering
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building the team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it. As the first FDE Manager in DACH, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments. This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction. This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow. Responsibilities - Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts. - Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers. - Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities. - Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work. - Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems. - Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed. - Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. - Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned. - Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning. - Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts. You may be a good fit if you have - 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. - 2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers. - Experience building organizations from 0->1, not just inheriting an existing one. - Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics. - Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers. - Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. - Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist. Why this role matters You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Manager, Enterprise Sales, DACH & CEE
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. Manager, Enterprise Sales, DACH & CEE 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. 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. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with 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 customers to 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 all 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 within departments, research centers, and administrative offices - Help your team navigate complex stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus - Gather and synthesize customer feedback from users 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 DACH and CEE - Ability to source and attract extraordinary talent with great cultural fit and enable them continuously - 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 their stakeholders - Track record of successful partnership with technical teams throughout the customer journey - 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 analysts and researchers to senior executives in Industries - Passion for AI technology and commitment to its safe and responsible development. 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: €310.000 - €380.000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Legal Specialist, Law Enforcement
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a hands-on Legal Specialist (Law Enforcement) to join our Litigation, Regulatory & Policy team at Anthropic. In this role, you will be a key player in building out our legal function and running how Anthropic responds to law enforcement and government requests for user data, while navigating the intricate regulatory landscape of the AI industry. We expect this role to flex beyond the law enforcement queue into legal operations to support the broader litigation, regulatory, and policy team. The successful candidate will be a strong team player, able to build positive relationships with colleagues and work collaboratively toward shared goals. Key responsibilities - Own the end-to-end response to law enforcement and government requests for user data, from intake and validation through production and closeout, including subpoenas, court orders, search warrants, preservation letters, and emergency disclosure requests from domestic and foreign authorities - Prepare and execute data productions: scoping, data retrieval, coordination with counsel, and eventual production - Handle foreign and cross-border process, including MLATs and letters rogatory, and manage escalations across jurisdictions - Handle civil third-party subpoenas and preservation demands - Maintain expertise in where user data lives across Anthropic's product surfaces and operate the internal data retrieval tooling - Run and improve the law enforcement response process and tooling - Partner with Trust and Safety, Security, Privacy, and Engineering on requests that touch user accounts, investigations, or safety escalations - Coordinate with outside counsel, alongside in-house counsel, on objections, challenges, and narrowing - Produce recurring reporting on request volume, deadlines, and queue health, and support Anthropic's periodic transparency reporting on government requests - Monitor legal developments in government access to user data and advise the team on their operational impact - Support litigation and regulatory matters and stretch beyond core responsibilities as needed to support the legal team's objectives Minimum qualifications - Experience in a legal operations, business/operations manager, or paralegal role in an in-house legal department, or similar experience - Direct, front-line experience handling law enforcement or government requests for user data, including subpoenas, court orders, warrants, preservation letters, and emergency disclosure requests - Working knowledge of the legal framework for law enforcement access to user data, including the Stored Communications Act and the mechanics of foreign and cross-border requests such as MLATs - Excellent written and verbal communication skills, with the ability to work effectively with colleagues at all levels of the organization - Demonstrated ability to exercise good judgment and maintain the highest standards of discretion and confidentiality when handling sensitive legal matters, including under time pressure - Strong project management skills, including the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously - Experience owning an intake, queue, or docketing process end to end, including deciding what gets escalated and maintaining rigorous tracking - Comfort operating and improving the tooling a legal process runs on (trackers, spreadsheets, forms, aliases, and simple automations), with a willingness to make changes directly rather than route every change to someone else - A proactive, solutions-oriented approach to identifying, recommending, and implementing process improvements within the legal department Preferred qualifications - 5+ years of experience in legal operations, business/operations management, or a paralegal role in an in-house legal department - 2+ years of experience at a high-growth technology company, with exposure to the legal challenges and opportunities presented by emerging technologies - Experience building or scaling a law enforcement response process - Experience managing legal intake process within a growing company - Demonstrated ability to think critically and creatively, adapting to new challenges and finding practical solutions to complex legal issues - Familiarity with legal project management software such as Asana, Trello, or Jira, and a willingness to learn and adopt new tools to streamline legal processes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 - $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Learning & Education Specialist
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 Support Operations team at Anthropic is dedicated to optimizing and scaling the Product Support function to deliver exceptional user experiences. As a Support Operations Specialist focusing on Learning and Education, you will be one of the first members of our Learning & Education function, helping own the programs that develop and grow the Product Support team's capabilities. This includes maintaining and evolving our existing onboarding program for new team members, program managing continuing education initiatives (such as "booster" trainings on complex topics or areas needing reinforcement), and partnering on enablement around product releases. You'll also work closely with the broader Product Support team on our internal knowledge management strategy, ensuring our team has the expertise to handle any question that comes their way. Responsibilities: - Maintain and continuously improve the onboarding program for new Product Support team members, keeping content current as our products and team evolve and adapting the program based on new-hire feedback and outcomes - Program manage continuing education initiatives, including identifying training needs, developing curriculum, and measuring effectiveness - Partner on release enablement efforts, ensuring the Support team has the resources and knowledge to support new products and features - Co-own our internal knowledge management strategy, ensuring our team can efficiently access and contribute to shared expertise - Build feedback loops to understand where the team needs additional support or training You might be a good fit if you: - Have 4+ years of experience in learning & development, enablement, support operations, or similar roles in a technology company - Demonstrate a data-driven approach, using metrics and insights to continuously improve programs and measure training effectiveness - Possess strong communication skills with the ability to distill complex technical concepts into engaging learning experiences - Excel at cross-functional collaboration, particularly with Product, Engineering, and Support teams - Are proactive and solutions-oriented, with excellent program management abilities - Are comfortable joining a small, growing team early, building on existing programs and helping shape how the function operates - Thrive in a fast-paced environment and can adapt quickly to evolving products and priorities - Have a passion for AI technology and helping others build their expertise Strong candidates may also have: - Background in instructional design or adult learning principles - Experience scaling or evolving onboarding or L&D programs as a team grows - Experience with support or customer-facing teams specifically 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: $165,000 - $210,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Internal Communications Manager, Product
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an Internal Communications Manager to serve as a dedicated communications partner to our Product organization. Internal communications at Anthropic is not a support function that plans meetings and sends newsletters. The best people in this role operate like advisors who embed themselves deeply in the orgs they support, earn a seat at the leadership table, write on behalf of executives, and see around corners, anticipating what the organization will need to hear before anyone asks for it. There are traditional elements to the role too, like all-hands planning and org change announcements, and you'll run those with operational excellence. But the heart of the job is more creative and will require you to find ways to connect the rest of the company to some of the most consequential and least visible work at Anthropic, and making the line between that work and our mission clear and strong. Product is the bridge between what our models can do and what our customers’ needs today. Capabilities are improving constantly, and priorities shift as the models improve, and launches can come together very quickly as a result. For much of the company, it can be hard to keep up with what's shipping, what's changing, and why it matters. Your job is to help people make sense of that pace by understanding the work, and the people doing it, well enough to tell its story credibly, and to help its leaders communicate with clarity and candor as the company scales. Responsibilities - Own the internal communications strategy for your portfolio, becoming an expert in the team's work and a trusted member of its leadership team - Serve as a hands-on advisor to executives - help them think through what to say and when, draft communications in their voice, and give them honest counsel, especially in moments when that’s challenging or uncomfortable. - Translate deeply technical work into narratives that land with employees across every function, without losing the substance - Get creative about how you connect people to the work - don't default to creating a slide deck when a demo or something no one has tried yet would land better - Anticipate communications needs before they arrive (e.g. launches, incidents, organizational change, moments of external attention) and have a plan ready for how we’ll bring employees along - Design and implement strategies to boost signal and reduce noise, so employees know what's important and what it means for them - Plan and execute internal fora like all-hands and AMAs with operational excellence - Exercise sound judgment with sensitive material, especially where security work requires care about what is shared, with whom, and when - Partner closely with the broader internal communications team to ensure updates are accurately and consistently cascaded across existing channels and live forums You may be a good fit if you - Have 8–12 years of experience in communications or an adjacent craft where you learned to make complex, high-stakes material clear under pressure (e.g journalism, speechwriting, chief of staff work, strategy and operations) - Are an exceptional writer with a particular talent for distilling technical decisions and cross-functional projects into simple, compelling narratives, and can write convincingly in someone else's voice - Have served as a trusted advisor to senior leaders and know how to build those relationships: when to push, when to listen, and how to deliver a recommendation even when it’s something an exec may not want to hear - Can embed credibly with engineers, PMs, and researchers. You are curious about how technical systems work, ask good questions, and earn the trust of people who may be skeptical of comms by default - See the big picture and are able to connect individual team updates to company strategy and mission - Have a keen eye for organizational culture and can recognize authentic moments worth amplifying Strong candidates may also - Have experience communicating about product ,engineering, security, infrastructure, or other technical domains - Have worked at AI companies, frontier tech companies, or other organizations where the technical work moves faster than most people can follow - Have built or run internal communications programs during periods of rapid organizational growth 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Energy Supply Lead - Power Supply and PPA
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring a Power Supply & PPA Lead to own front-of-meter energy supply for Anthropic's non-cloud data center portfolio: the power purchase agreements and the wholesale and retail supply contracts that serve our grid-connected sites. As those sites energize, their load needs contracted supply, and these contracts will be among the largest long-term commitments the energy team makes. You will set the supply plan for each market, take it to generators and suppliers, structure and negotiate the agreements, and carry them through internal approval to signature. This supply is also central to Anthropic's ratepayer-protection commitment, so what a deal does for other customers on the system counts alongside price and term. You will work beside the teammates who originate sites and behind-the-meter generation, who buy and transport gas, and who schedule the portfolio once it operates. You are this function's first dedicated owner. Responsibilities: - Own the front-of-meter supply plan for the United States: for each grid-connected site and market, how much load to contract, from whom, for how long, at what price structure, and by when, set against the site's ramp and the portfolio view of energy need. - Take that plan to market. Build and keep relationships with generation owners, developers, independent power producers, and retail and wholesale suppliers; run competitive solicitations and bilateral negotiations; and compare offers on a like-for-like basis. - Structure and negotiate PPAs, tolls, capacity agreements, and other long-term supply agreements from term sheet to signature, with legal and outside counsel: price and shape, delivery point and basis, congestion and curtailment, commercial operation dates and delay remedies for new-build projects, credit support, change in law, assignment, and termination. - Make supply work under each market's rules: through retail providers and load-serving entities in competitive markets, and through utility tariffs, sleeved arrangements, and customer-sourced generation programs in regulated, cooperative, and public power territories. Work with the teammates who hold the utility relationship so the utility service agreement and the supply contract fit together. - Design the supply portfolio to deliver Anthropic's ratepayer-protection commitment, and be able to show that it does: work with policy and outside analysts on how the effect on other customers is measured, and bring that test into deal selection and contract terms. - Collaborate with Energy Finance on deal valuation and the risk view behind it: forward curves, shape and basis risk, capacity and ancillary costs, counterparty credit, and development risk. - Carry commitments through internal approval: write the deal memo, state the price, the exposure, and the alternatives plainly, and answer questions from executives who do not work in energy. - After signature, track new-build counterparties to commercial operation, manage amendments and disputes, and hand each contract to energy scheduling and portfolio in a form that can be operated. - Support negotiation of utility service agreements and large-load tariff terms for grid-connected sites, manage the interconnection and load-study process, and represent Anthropic in tariff proceedings and ISO/RTO rule changes alongside policy and industry coalitions. You may be a good fit if you: - Have 10+ years in power origination, structuring, or energy procurement, including PPAs or long-term supply contracts that you led from term sheet to signature. - Have bought power for a large load (a data center operator, industrial, utility, cooperative, or retail supplier), or have sold to those buyers and know what they should have asked for. - Know at least two US ISO/RTO markets (ERCOT, PJM, MISO, SPP, or others) well enough to price delivery point, basis, congestion, capacity, and ancillary costs into a deal, and understand how a large customer gets supply in a vertically integrated utility territory. - Can build and interrogate a deal valuation yourself, and can say what a fixed-price, shaped, index, or block structure does to the buyer's exposure. - Read and mark up a PPA yourself. You use counsel well, and you do not hand them the commercial judgment. - Understand credit support and project finance well enough to know what a developer's lenders need from an offtaker, and what that is worth in the negotiation. - Write and speak plainly about large commitments to people outside energy, and coordinate well across teams that do not report to you: finance, legal, policy, site origination, and scheduling. - Have built a book, a program, or a function from zero, and are comfortable moving quickly on incomplete information. Strong candidates may also have: - Experience contracting supply for data centers or other large, fast-ramping load. - Experience with firm and shaped products: storage-backed and hybrid structures, tolling agreements, and offtake from new-build dispatchable or clean firm generation. - Experience in regulated and public power territories: sleeved PPAs, utility green or clean-transition tariffs, and large-load tariffs and the provisions in them that protect other ratepayers. - Experience with virtual PPAs, energy attribute certificates, and hourly matching or emissions accounting. - Experience with Canadian energy markets. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Energy Special Projects
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. What is the need and role Anthropic's mission depends on compute, and compute depends on power. Today, energy is increasingly the binding constraint on how fast frontier AI infrastructure comes online. The energy team sources, structures, and contracts that power, and its work touches nearly every part of the company and a growing set of people outside it. We're looking for someone to join the energy team in a special projects role: to take on the problems that don't sit inside any one deal or region, and to carry them wherever they lead. That means working in three circles. Inside Compute, with the teams that site, design, build, finance, and operate our data centers. Across Anthropic, with policy, legal, communications, finance, and the other teams that need energy depth or whose work shapes ours. And outside the company, with FERC, state commissions and agencies, RTOs and ISOs, utilities, industry working groups, and other large energy customers. It's a "figure it out / get it done" role for someone who can chase down issues while bringing real depth in energy: the kind of person who can untangle a power delivery problem with design and delivery in the morning, brief the policy team on what a FERC proceeding means for our sites in the afternoon, speak for us on a working group call the next day, and then pick up an unrelated problem the energy team needs solved that week. Much of the job is building coalitions among complex, multi-functional groups of stakeholders, and then running the project all the way to completion. What you'll do 1/ Inside Compute - Working with the head of energy, pick up cross-functional problems as they arise that have no natural owner, work them with the teams involved to a decision, process, or tool, then hand them off and move on to the next one. - Connect the energy commercial leads with site selection, data center design, delivery, operations, and finance, so that everyone plans on the same assumptions about power: when it arrives, how much, how reliable, and at what cost. - Write the strategy documents, decision memos, and leadership updates that explain the energy team's choices to executives who do not work in energy. - Build the processes and tools, with Claude, that keep the team's commitments, open decisions, and stakeholder record current, so none of it depends on one person's memory. - Run the team's planning rhythm: priorities, headcount plan, consultant roster, and follow-up on open decisions. 2/ Across Anthropic - Be the energy team's first point of contact for policy, legal, communications, community relations, finance, and other teams, and make sure their questions get a fast, accurate answer from the right person. - Serve as an energy subject matter expert for the policy team and work with them on the company's positions on energy issues. - Give communications and community relations plain answers on what a site's power supply means for local rates, reliability, and emissions. - Keep what we sign and what we say in public consistent with each other and with Anthropic's ratepayer-protection commitment. - Prepare energy team leaders and executives for outside meetings, panels, and testimony, and follow through on what comes out of them. 3/ Outside the company - Represent the energy team in the industry working groups, trade associations, large-customer coalitions, and research collaborations we belong to: sit in the room, shape the work, and bring back what matters. - Working with policy and legal, engage with FERC, state commissions, agencies and legislatures, and RTO and ISO stakeholder processes on the issues that affect our portfolio. - Tell the commercial leads what a proposed tariff or rule does to a deal early enough to change the negotiation. - Build and keep relationships with utilities, grid operators, regulators' staff, and counterparts at other large-load customers. - Manage the outside counsel, consultants, and analysts who support this work: scope, budget, and quality. You may be a good fit if you - Have 6+ years in energy policy, energy markets, or energy strategy. - Have built coalitions among complex, multi-functional stakeholder groups, inside and outside your own organization. - Have run projects to completion, from an unclear question to a finished result, across teams that do not report to you. - Can read a tariff, an energy services agreement, or a FERC order yourself and explain what it means commercially for a large customer. - Know how state commissions and RTO or ISO stakeholder processes work in practice. - Write quickly and plainly, for executives outside energy and for outside audiences. - Have good judgment about what to say in public, who should say it, and when to say nothing. - Are comfortable with unscoped work and with switching between very different problems in the same week. Strong candidates may also have - Experience with data centers or other large loads, on the customer, developer, or utility side. - Commercial experience: time spent negotiating utility service agreements, energy services agreements, or PPAs, or advising the people who do. - Time in a chief of staff, strategy, or consulting role. - Direct experience in a FERC or state commission proceeding, or in an RTO or ISO working group. - Familiarity with gas as well as power. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,555 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Data Center Strategic Sourcing Lead - Construction
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring a Strategic Sourcing lead to drive development and execution of procurement strategies to help scale Anthropic's Data Center electrical and mechanical Owner Furnished Equipment (OFE) footprint. In this role, you will own end-to-end sourcing strategies for critical electrical and mechanical infrastructure such as generators, switchgear, UPS systems, chillers, and cooling equipment. You will partner closely with engineering, demand planning, construction, and third parties to drive equipment availability, establish vendor relationships, and negotiate commercial agreements. As a sourcing lead focused on key Data Center equipment, you will play a critical role in helping Anthropic to achieve its ambitious scaling goals. Key responsibilities - Drive commercial negotiations and Master Purchase Agreements for critical electrical and mechanical infrastructure such as generators, medium- and low-voltage switchgear, transformers, UPS systems, chillers, cooling towers, CRAHs, and pumps. - Audit partner procurement schedules, ensure optimal allocation, and drive cost efficiency of supply in constrained markets. - Implement frameworks for ensuring third-party data center partners and general contractors adhere to commercial equipment terms and technical specifications. - Develop global inventory strategy including warehousing, third-party logistics, buffer stock, and distribution models to accelerate time to market and improve availability. - Proactively monitor global supply chain volatility (e.g., lead times for transformers, generators, and switchgear) and execute contingency plans to avoid critical project delays. - Translate construction and capacity roadmaps into equipment forecasts and procurement pipelines. - Partner with Finance to optimize inventory and capital deployment strategy. - Establish efficient return, repair, and replacement workflows with OEMs to restore failed equipment quickly. - Negotiate warranty, startup/commissioning support, and spare parts terms, and track vendor performance Minimum qualifications - Have 7+ years experience in supply chain management, sourcing, and procurement. - Have a track record of developing processes for forecasting, planning, and managing data center electrical and mechanical equipment for build-out and/or operations. - Are familiar with data center electrical and mechanical equipment (e.g., generators, switchgear, transformers, UPS, batteries, chillers, cooling towers, CRAHs/CRACs, pumps, CDUs). - Possess a bachelor's degree in a relevant domain (e.g., electrical/mechanical engineering, construction management, supply chain) or equivalent practical experience. Preferred qualifications - 10+ years experience in supply chain management, sourcing, and procurement. - 5+ years experience in data center or critical environment infrastructure. - Experience working with general contractors, MEP integrators, OEMs, and equipment distributors. - Experience working on data center construction programs. - Familiarity with liquid cooling equipment (CDUs, dry coolers, manifolds) and battery energy storage systems. - Leadership and influencing skills. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Data Center Asset Management, Commercial Associate
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. Commercial Associate, Data Center Asset Management About the role Anthropic leases large data center campuses from developers, and our compute roadmap depends on those campuses being built, energized and handed over on schedule. When a signed project slips, the fastest fix is often commercial: change who pays for what, who controls what, and what happens when a date is missed. This team renegotiates signed deals to get projects back on track and then makes sure what was agreed actually happens. You will be second chair on every one of those negotiations, working directly with the team lead, and we expect you to be able to run a site on your own within six to nine months. What you will do - Run the issues list on live renegotiations and keep parallel papers conformed (term sheets with more than one counterparty, amendments, side letters, schedules), catching the differences before the other side does. - Turn first drafts of term sheets, amendments and formal notices with in house and outside counsel. - Write the internal approval memo and collect sign offs from Finance, Legal, Construction, Power and Operations. - Hold the day to day channel with the developer and its counsel on deliverables, lists and dates, and escalate commercial points and misses. - Visit the sites. Sit with developer and landlord management (not only the operations team) to see what is going wrong and what is going right, and turn what our construction leads are seeing into contract positions. - Own version control, the notice calendar and the claims register. - Help onboard two senior contract specialists on the team. You may be a good fit if you - Have carried complex commercial agreements from term sheet to signature as the person holding the issues list, in real estate, energy, infrastructure, construction or project finance. - Can read a lease, work letter or construction contract and say in plain English who carries which risk and what happens when a date is missed. - Have held your ground with counterparties in challenging situations day after day without losing the facts or the relationship. - Write short memos a busy executive can approve from. - Are comfortable walking a construction site and asking management direct questions. - Stay exact on versions and details when the timeline is days, not weeks. - Have legal or commercial training. This is not a lawyer role and a law license is not required. Strong candidates may also - Have worked on data center, power or heavy industrial development. - Have amended, restructured or worked out a project that was already in trouble. - Know their way around the lender consents and financing documents that sit behind a lease. - Already use AI tools to compare documents, draft and track. We can teach - Data center vocabulary (commissioning levels, power feeds, ready for service conditions). - Our form documents and internal approval systems. Logistics - Full time. - Compensation: [to be set] - Regular travel to project sites in the US. Not site based. Travel 30% of the time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 - $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Brand Strategy Lead, Brand Architecture & Naming
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 Brand Strategy Lead at Anthropic, you will own brand architecture and naming strategy across the Anthropic and Claude brands. Claude is becoming part of how people work, build, and discover, and how we organize and name what we make shapes how a broad, global audience of enterprise buyers, developers, researchers, policymakers, and the general public understands it and whether they trust it. This is a foundational role: you'll solidify this function at Anthropic, making the routine calls yourself and bringing the biggest decisions to senior leaders with a clear recommendation. In this role, you'll own all brand architecture and naming strategy work globally, from how the portfolio fits together as it grows to the names we ship, and you'll build the systems, structure, and processes other teams follow. In a single week, you might map part of the portfolio, generate names, and take multiple recommendations to senior leaders. This is a senior individual contributor role, so you'll scope the work yourself and set a roadmap a year out with minimal direction. You'll partner closely with Brand Design, Product and Brand Marketing, Product teams, IP Legal, and Comms to position new offerings and introduce them to the world. Key responsibilities - Own all brand architecture strategy across Anthropic and Claude, including how brands, products, models, features, plans, and programs relate to one another - Lead decisions on where new products, models, features, and programs sit in the portfolio, including when an offering extends an existing brand and when it needs its own, and when something earns a name versus a plain description - Own the company's global naming strategy and all naming work from brief to launch, across products, features, events, and programs - Develop names yourself, in volume, from descriptive to coined, and help teams and leaders pressure test them, running research when a decision needs it - Build coherent brand architecture, naming, and terminology systems, including conventions, usage rules, and a source of truth, along with tools and training so teams can make routine calls on their own - Manage intake and review, and get teams to come to us early, while there's still space to think, connect dots, and simplify - Present brand architecture and naming decision docs to senior leaders, and advise them on the hard calls - Track the portfolio over time, auditing and simplifying where it has grown complex - Partner with IP Legal to evaluate options, plan around clearance risk, and take names through clearance - Partner with Product and Brand Marketing to shape how new offerings are positioned, and ensure names work across global markets, including linguistic and cultural checks - Lead alignment across Product, IP Legal, Brand Marketing, and Comms on where a new offering sits, what its name means, how to use it, and how to introduce it to the world - Use Claude throughout the naming process, from generation to testing to governance Minimum qualifications - Have deep expertise in brand architecture, including deciding where new products and programs sit in a complex and growing portfolio - Have built or rebuilt the brand architecture of a multi-brand portfolio, including how a company brand and its product brands work together - Can weigh branded house, endorsed, and house of brands models, and make a clear recommendation - Are genuinely passionate about brand architecture and naming as a craft, and appreciate how it builds stronger, more coherent brands and audience understanding - Know the range of naming strategies, from descriptive to coined, and have personally generated and shipped names across products, features, events, and programs - Have created systems and processes that codify brand architecture or names, such as nomenclature frameworks, conventions, databases, and governance, that teams at a company or client adopted - Have worked with trademark counsel and can plan around clearance risk - Write clear docs that get decisions made, and have scoped and led cross-company work with minimal direction - Can teach senior leaders why brand strategies and systems should matter to them, defend a system with conviction, and know when an exception is worth making - Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - Led brand architecture or naming in-house, at a specialty branding agency, or at a consultancy - Restructured a brand portfolio through rapid growth or major change - Experience with AI products, models, or programs, or with technology companies more broadly - Led naming across global markets, including linguistic and cultural checks - Worked across both consumer and enterprise brands - Designed qualitative or quantitative brand architecture or naming research, or managed naming, verbal identity, or research partners - A background in linguistics, copywriting, or verbal identity, and experience using AI tools in creative work - The ability to learn new, often technical, domains well enough to position, name, and brand them The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Sr. Field Marketing & Community Manager
About the Role Together AI is looking for a Field Marketing & Community Manager to build and scale account-based field and in-person community programs across priority markets. You’ll own high-impact programs end to end, from strategy and audience development through execution and follow-up, designed to engage priority accounts, accelerate pipeline, deepen customer relationships, and build authentic technical communities. This is a highly cross-functional role for someone who combines strategic judgment with exceptional execution. You should be just as comfortable building an ABM event strategy with Sales as you are shaping an agenda, managing a venue, or reviewing the attendee list the day before an event. Responsibilities ABM & Account-Based Events - Build and execute an ABM event strategy aligned to priority accounts, segments, and pipeline goals. - Develop repeatable programs including dinners, roundtables, customer gatherings, and other targeted experiences. - Partner closely with Sales to identify the right accounts and attendees and create programming that supports meaningful business outcomes. - Own targeting, invitation strategy, registration goals, attendance conversion, follow-up, and post-event performance. Community & Field Programs - Build and scale Together AI’s community event strategy across key markets. - Develop meetups, technical gatherings, workshops, partner programs, and other formats that bring together developers, researchers, AI practitioners, customers, and ecosystem partners. - Identify opportunities to partner with customers, investors, technology partners, startups, and community organizations to extend reach and credibility. - Partner with the broader Events team on select conferences and industry moments where field, community, or account-based activation can extend the impact of Together AI’s presence. End-to-End Program Ownership - Own programs from strategy through execution, including concept development, audience strategy, venue sourcing, budget, vendors, registration, attendee communications, run-of-show, onsite execution, and follow-up. - Partner with Creative and Brand on event identity, environmental design, signage, swag, and other experience touchpoints. - Manage multiple programs simultaneously while maintaining a high bar for quality and attendee experience. - Partner with Marketing Ops, Demand Gen, and Sales to track attendance, account engagement, pipeline impact, and follow-up. - Use program performance and attendee feedback to continually improve future programs. Measurement & Optimization - Partner with Marketing Ops, Demand Gen, and Sales to ensure programs are properly tracked through Salesforce and the broader marketing tech stack. - Build consistent pre- and post-event reporting that shows attendance, account engagement, pipeline impact, and follow-up status. - Use performance data and attendee feedback to identify what’s working, recommend where to double down or change course, and improve future programs. Requirements - 6-8+ years of experience in field marketing, event marketing, ABM, or a related B2B technology marketing role. - Experience building and executing account-based programs in close partnership with Sales. - Strong understanding of how events can support pipeline creation, acceleration, customer expansion, and relationship development. - Experience creating community or experiential programs for technical audiences. - Strong project management skills with the ability to independently manage multiple complex programs. - Exceptional attention to detail and a high bar for attendee experience. - Strong written and verbal communication skills. - Ability to work effectively across Sales, Demand Gen, Product Marketing, Developer Relations, Research, Creative, Partnerships, and executive stakeholders. - Strong judgment and ability to prioritize opportunities based on expected impact. - Willingness to travel up to 30–40% based on the event calendar, including international travel. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits. The US base salary range for this full-time position is: $190,000 - $225,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Application Policy Please read each role carefully and apply to the position best suited to you. Candidates are limited to 6 applications within a 90-day period, and applications beyond that limit will be automatically rejected. You may apply to additional roles 90 days after your last application. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our Privacy Policy at https://www.together.ai/privacy
Senior Engineer, Exposure & Vulnerability Manageme...
Your work will change lives. Including your own. The Impact You’ll Make Help shift Recursion from periodic scans to continuous, risk-driven exposure management. You’ll build multi-agent systems that take vulnerabilities from discovery to verified closure, with approval gates, audit trails, and rollback built in. You’ll replace static CVSS scores with prioritization based on reachability, attack paths, business criticality, and live exploit intelligence, so engineering teams can focus on what’s actually exploitable. By integrating remediation into ticketing and CI/CD and partnering with Engineering and IT to make secure-by-default the norm, you’ll shrink our attack surface and speed up fixes where risk is highest, helping Recursion keep decoding biology with confidence. In this role, you will: - Design and deploy multi-agent systems that take an exposure from discovery to closure: analyzing it from the outside in, mapping dependencies from the inside out, generating the patch or Infrastructure-as-Code (IaC) update, and validating the result. Build in approval gates, audit trails, and rollback so every automated change gets the level of review its risk calls for. - Move prioritization beyond static CVSS scores by building engines that rank exposures on real-time reachability, attack-path context, business criticality, and live exploit intelligence. - Cut through alert noise with automated verification that separates theoretical flaws from actively exploitable conditions, so engineering and DevOps teams can focus on the issues that matter. - Drive our Continuous Threat Exposure Management (CTEM) strategy, shifting the organization from periodic scans to a proactive, around-the-clock security posture across products, platforms, cloud and on-premise infrastructure, and corporate applications. - Assess the current state of our exposure and vulnerability management program and revamp the strategy to accelerate key business outcomes and support our broader zero-trust security approach. - Architect cloud-native discovery, asset-inventory, and remediation workflows, and integrate them with ticketing, CI/CD, and configuration management so fixes reach owners and ship without manual hand-offs. - Partner with Engineering and IT to embed secure-by-default practices into how products and applications are built, deployed, and patched, with remediation timelines matched to real risk. - Define KPIs, KCIs, and KRIs (for example mean time to remediate, exploitable-exposure backlog, and coverage of critical assets) that show how well controls are working and guide continuous improvement. - Support regulatory compliance by working with partner teams to design exposure and vulnerability controls that meet standards such as SOC2. The Team You’ll Join You will join a growing Information Security team at Recursion, focused on enabling Recursion to decode biology by providing world class secure technology services that are designed and fit for purpose. You'll collaborate with your teammates and across departments to ensure that IAM systems support the organization's broader business objectives while maintaining the highest standards of security. The Experience You’ll Need - Bachelor's or Master's degree in Computer Science, Information Security, or a related field, or equivalent practical experience. - 7+ years of experience in vulnerability management, exposure management, or related information security domains, including leading large-scale programs from strategy through execution in cloud-first and hybrid environments. - Deep understanding of security principles, with a track record of turning vulnerability data into prioritized, owned, and verified remediation. - Hands-on experience building or deploying AI/LLM-based agents or multi-agent systems for security or engineering workflows, including orchestration, tool use, and evaluation. - Working knowledge of approval workflows, audit logging, and rollback controls for automated remediation, and of the risks of agent-driven changes. - Proficiency in one or more programming languages (for example Python, Go, Java) and strong scripting skills for automation and integration. - Expert-level experience with leading vulnerability and exposure management platforms (for example Tenable, Qualys, Rapid7, or equivalent) and with CTEM, attack surface management, and attack-path analysis tooling. - Strong command of risk-based prioritization: CVSS, EPSS, CISA KEV, reachability analysis, and threat intelligence feeds. - Experience with cloud platforms (AWS, Azure, GCP), container and Kubernetes security, and Infrastructure-as-Code (Terraform, CloudFormation) for automated remediation. - Experience with CI/CD pipelines, SCA/SAST tooling, and software supply chain security, including SBOMs and dependency mapping. - Knowledge of operating systems (UNIX/Linux, macOS, Windows), networking, and database management systems. - Experience with risk management, ensuring solutions align with organizational risk tolerance and compliance requirements (SOC2, GxP, or similar). - Relevant security certifications (for example CISSP, OSCP, GWAPT) are highly desirable. Working Location & Compensation: This is a remote position based in the United States. We ask that remote employees commit to regular on-site visits for routine work and departmental events. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: $ 134,200–$180,600 . In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-DNI The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion 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, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Senior Legal Discovery Program Manager
About the Team OpenAI’s Legal team helps advance our mission by navigating novel and foundational legal issues in AI. Our Litigation and Regulatory team works on complex, high-stakes matters and partners across the company to build the systems and practices that support them. Our discovery function brings together legal expertise, technology, and operational judgment to meet today’s needs and prepare for continued growth. About the Role We’re seeking an experienced Senior Legal Discovery Program Manager to help shape and scale the discovery capabilities supporting OpenAI’s growing litigation, regulatory, and investigations docket. You’ll drive strategic initiatives across discovery operations and strategy, vendor management, and information governance. You’ll partner closely with our litigation and regulatory teams, other legal teams, technical partners, outside counsel, and vendors to turn complex challenges into practical solutions. Your primary focus will be program building and improvement, along with providing support and guidance on complex legal matters. You’ll also shape how OpenAI approaches discovery and bring AI-enabled ways of working into practice. This role is based in San Francisco or New York. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you’ll: - Build and advance OpenAI’s discovery program including scalable operations, core processes and standards, external vendor management and strategy, information governance programs, and other discovery initiatives across the company. - Partner with Legal, Engineering, IT, Security, Privacy and other teams to translate legal requirements into practical solutions, tooling, integrations, and preservation workflows. - Drive AI and agentic discovery initiatives, from identifying use cases through evaluation, piloting, and adoption, with clear measures of quality, reliability, and impact. - Provide guidance on complex discovery matters and escalations, partnering with case teams, external counsel, and other partners on execution. - Track program outcomes and communicate priorities, risks, resource needs, and recommendations to stakeholders and leadership to continuously improve the program. To be successful in this role, you should have: - 10+ years of relevant experience in discovery, litigation support, legal operations, or related work, including significant ownership of complex discovery programs. - Experience leading projects and programs at a fast-paced technology company, with a track record of building and launching programs from the ground up. - Deep understanding of the discovery lifecycle, from preservation and collection through review and production, and the practical needs of litigation, regulatory matters, and investigations. - Strong working knowledge of eDiscovery platforms, enterprise data systems, and information governance; the ability to work with technical teams on requirements, integrations, and troubleshooting. - Experience managing discovery vendors and outside counsel, assessing service quality and costs, and driving improvements when delivery falls short. - Excellent program management and analytical skills: you can prioritize competing needs, manage dependencies, establish milestones, and turn data into decisions. - Clear written and verbal communication, sound judgment, and the ability to build trust and influence partners without direct authority. - A strong sense of ownership, comfort with ambiguity, and a practical, resourceful approach to solving problems. - You are excited to learn and apply AI to legal work. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Forward Deployed Engineering Manager, Financial Se...
About the Team OpenAI’s Forward Deployed Engineering team partners with banks, asset managers, insurers, and private capital firms to deploy production-grade AI systems in high-stakes financial environments. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into reliable, auditable systems that create measurable business impact. Our work turns early deployments into repeatable solution patterns, operating standards, and evaluation practices that scale across regulated financial institutions. About the Role As a foundational FDE manager, you’ll lead FDE through high-stakes, ambiguous financial services deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field. You will work with customers who are experts in investment banking, trading, risk, compliance, underwriting, research, operations, or investment decision-making, translating complex workflows, data constraints, and regulatory requirements into production systems. You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment at scale. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be. This role is based in New York City We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. This role also will require travel up to 25%. In this role, you will: - Lead and grow a team of FDE delivering production systems with frontier models - Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality - Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community - Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices - Use judgement to distinguish what requires action and what does not - Set a high bar for FDE performance and support each person’s growth through direct, actionable feedback - Define how we staff and support field teams that can scale without added complexity You might thrive in this role if you: - Bring 10+ years of engineering or technical delivery experience, including 2+ years managing high-performing FDE or customer-facing engineers. - Have led high-pressure technical projects from prototype to production. - Write and review production-grade code across frontend and backend using Javascript or Python. - Simplify complex work and make fast, sound decisions under pressure. - Elevate team performance through clarity, not process. - Operate with urgency in ambiguous or evolving environments. - Translate field experience into sharp, actionable feedback for Product and Research. - Build deep trust with your team by modeling calm, focus, and judgment when it matters most. 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.
Forward Software Engineer
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job As a Forward Software Engineer, you will build the systems behind some of the hardest problems Mistral takes on. You join our team of engineers in Applied AI. We gravitate towards hard problems, decide how to solve them, and ship fast. You work closely with our customer-facing teams, and what works goes into production with our customers and across the company. When a project needs it, you work directly on customer engagements. We're looking for a strong software engineer who has shipped agentic or GenAI systems to production. You've felt the pain of agents that work in the demo and fall apart on real tasks: tool calls that fail silently, loops that never end, and quality that drifts after launch. That production depth is your edge. You build across the stack, and you'd rather ship a plain UI on a solid foundation than a polished UI on a fragile one. You think like a founder. You start from the customer's problem, not the technology. You measure success by the value you deliver, and you care about building experiences people love to use. You like working at the edge of what AI can do today, and you push past it. Your scope is end to end, from first prototype to production. You help set the standard for how the team builds agents that are reliable, observable, and safe to run against sensitive systems. Security is a big part of where we're heading. If you're drawn to it, that's a strong plus. You might come from security with a real interest in AI engineering, or from AI engineering with a real interest in security. Both paths fit. Curiosity about how systems break, and a habit of learning fast from the people who know the domain, matter. Experience at a security company counts too. What you will do - Build AI systems end to end, from first prototype to production. - Design the agent architecture: orchestration, tool use, memory, retrieval, and the interfaces between agents and the systems they act on. - Build across the stack, from backend services and APIs to the interfaces people use to work with agents. - Turn what works for one customer into patterns and platforms that work across many, without rebuilding each time. - Make systems hold up under real load: throughput, latency, cost, and failure recovery are part of the design from the start. - Build security into agents from day one: permissions, sandboxing, prompt-injection defenses, and audit trails for agents that touch sensitive systems. - Build the evaluation loop: task-level evals, tracing, and checks that catch agent failures and quality drift before customers do. - Work with researchers, engineers, and customer-facing teams to turn hard problems into systems people rely on. What We're Looking For - You have 5+ years building production software, with at least one agentic or GenAI system shipped to production that you ran after launch. - You have full ability to ship across the stack: proficient NodeJS e.g. NextJS/Express/Fastify or similar or Python e.g. FastAPI. You are confident with TypeScript + React/NextJS or similar. Solid beats polished. - You have hands-on depth in agent design: orchestration, tool use, retrieval, evaluation, and the ways agents fail in the real world. - You work autonomously: you find the problem, decide the approach, and own the outcome. - You communicate clearly with technical and non-technical audiences, and are fluent in English. - You ship in increments and are obsessed with time to value - You have product judgment: you learn what users need through customer-facing teams, cut scope hard, and care how the result feels to use. Ideally you have - Open-source contributions, particularly in agents or LLMs. - Experience deploying and running what you build: Docker, Kubernetes, Terraform, and AWS, GCP, or Azure. - A security background in application, cloud, or AI security, such as prompt injection, securing agents, or supply chain (SBOM, SLSA). If that's you, flag it in your application. - Experience building for security workflows, such as alert triage, threat hunting, or investigation agents, or with SIEM, XDR, or SOAR tooling. How We Work in Applied AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. 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 .
Account Executive - Enterprise - Insurance
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 team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - 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 Insurance: the carriers, MGAs, and brokers people rely on when life gets expensive and complicated. These organizations win or lose on trust and service at massive scale, under some of the most demanding regulatory standards anywhere. Our ideal candidate learns fast, closes well from a warm introduction, and is passionate about AI voice technology. You’ll act as a strategic partner to insurers reimagining how they serve, sell to, and sound to their customers, safely and at scale. In this role you will: - Focus on prospecting and landing net-new customers to expand the market footprint that ElevenLabs has in the Insurance industry - Balance a diverse pipeline of large national carriers that require a white-glove experience with regional and mid-sized insurers that require speed to close - Identify where conversational AI can drive growth, automation, or cost efficiency in customer-facing and internal workflows, such as claims intake, policy servicing and renewals, billing and payment support, agent and broker support, and contact center coaching - Stay current on the conversational AI landscape, including competitive solutions, build-vs-buy dynamics, and emerging trends in insurance AI governance and regulation - Develop and execute account strategies across the whole buying group (Claims Operations, Customer Service and Contact Center, Distribution, Digital and Technology, and Compliance, Legal, and InfoSec), landing with one high-impact use case and expanding across lines of business - Partner closely with Forward Deployed Engineers to solution high-impact use cases, manage a successful Proof of Value, guide customers through security, architecture, and AI governance review, and set them up to scale in production - Partner closely with Legal teams to drive strategic, fast-moving negotiations - Serve as a trusted advisor on generative AI and voice, and share what you learn in the field to sharpen our Insurance positioning, 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 - Insurance experience (carriers, MGAs, brokers, insurtech) is preferred but not required. We weigh demonstrated adaptability and fast ramp in a new industry heavily - Proven success closing [six- and seven-figure] deals and managing complex, multi-stakeholder sales cycles - Proven ability to take a warm introduction through discovery, Proof of Value, and procurement to close - Experience selling to both technical buyers (product and engineering) and business buyers (claims, customer service, distribution, digital), and to compliance and risk gatekeepers, translating complex technology into business value - Adept at deeply understanding a customer’s business and translating ElevenLabs’ capabilities into solutions that deliver against their needs - Proficient in enterprise procurement, security review, and legal processes, including regulated-industry vendor risk, AI governance, and data protection reviews, and able to work autonomously as a cross-functional partner - Strong executive presence, the ability to build relationships with senior executives, and willingness to travel frequently for onsite client visits and conferences - High EQ, self-aware, and curious. Low ego and hands-on, comfortable running your own prospecting and deals - Comfort in an early-stage, high-growth environment, where ambiguity is the norm and the state of play changes rapidly - Passion for voice and conversational 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.
Revenue Enablement Manager - APAC
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 Help bring Cohere's enablement strategy to life for our field teams in APAC. This generalist role will build and manage programs end-to-end, from design through rollout, measurement, and iteration, while working directly with managers and reps to ensure enablement drives results. You'll report to the Head of Sales Enablement and help establish operational rigor as this global function scales. Key Responsibilities - Own enablement programs from design through rollout, measurement, and iteration - Partner with Product, Marketing, Sales Leadership, and RevOps to align GTM priorities and embed enablement into every stage of the sales lifecycle - Create and curate high-impact resources (playbooks, battle cards, demo scripts, certification programs) for Cohere's solutions - Establish KPIs (win rates, sales cycle efficiency) and use analytics to refine initiatives and prove ROI - Operationalize MEDDPICC methodology into everyday seller behavior (deal reviews, coaching, planning) - Build certification paths that accelerate new seller productivity across regions and cultures - Maintain and evolve the enablement content platform to ensure global adoption - Identify automation opportunities for repeatable work, and develop practical AI workflows that improve team output - Work directly with field leadership on joint calls, deal coaching, and in-market visits - Translate field insights into updated content, playbooks, and qualification guides - Keep sellers current on product lineup, competitive positioning, and use-case narratives - Balance live training, program management, and strategic planning across time zones - Measure program impact (ramp time, win rates, pipeline generation, deal velocity) and report to leadership Qualifications - 5+ years in sales enablement, sales training, revenue operations, or related GTM role (B2B SaaS/tech preferred) - Experience supporting multi-region sales organizations with cultural/time zone awareness - Proven ability to design and ship programs from scratch - AI-fluent with track record of scaling enablement using AI tools - Field-oriented approach—you thrive on direct deal reviews and coaching - Mastery of enterprise sales methodologies (e.g., MEDDPICC, Command of the Message) and CRM systems (e.g., Salesforce). - Clear communication across all levels (reps to leadership) - Comfort with ambiguity and building in fast-paced environments - Bachelor's degree or equivalent experience Nice to Have - Technical fluency in AI/ML concepts (RAG, model selection, competitive differentiation) - Enterprise software sales experience - Sales enablement/instructional design certification - Hyper-growth enablement scaling experience - Additional regional languages 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.
Strategic Partner Development, Product Partnership...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Strategic Partner Development, Product Partnerships, to manage our product partnerships and integrations with a wide range of content providers, improving Anthropic’s products. In this role, you will be responsible for prospecting, researching, negotiating, and closing deals with a wide variety of content providers necessary to build and maintain Anthropic’s product portfolio. A background in product partnerships at a major tech company will be very beneficial in this role, as is comfort in working at a fast-paced start-up environment. Responsibilities Product Partnerships Deal Pipeline Management: - Working closely with Product & Research teams, proactively identify and pursue potential product partnership opportunities through product and customer insights, market research, industry networking, and strategic outreach. - Build and maintain a robust pipeline of prospective product partnerships, tracking leads, and managing the deal flow process from initial contact to closure. - Conduct thorough due diligence on potential partners, assessing their strategic fit, content offerings, and potential value to Anthropic. Deal Negotiation and Structuring: - Lead negotiations with product partners, crafting mutually beneficial agreements that align with Anthropic's business objectives and legal requirements. - Collaborate closely with Legal, Product, Engineering, Research, and Finance teams to structure deals that balance risk, product impact, and operational feasibility. - Develop comprehensive deal models, product ROI, and cost structures to support effective decision-making. Partner Management and Relationship Building: - Cultivate and maintain strong relationships with existing product partners, acting as the primary point of contact and ensuring ongoing satisfaction and alignment with partnership goals. - Manage partner communications, addressing concerns, and facilitating seamless collaboration between partners and cross-functional teams at Anthropic. - Continuously explore opportunities to expand and deepen partnerships, identifying new opportunities for collaboration areas that create value for both parties. You may be a good fit if you - Contribute to the development of product strategies involving third parties, ensuring that partners align with Anthropic's overall product roadmap and long-term vision - Provide strategic guidance on specific kinds of product partnerships to enhance the value proposition of Anthropic's products and services - Conduct ongoing market research and competitive analyses to stay ahead of industry trends, including emerging product partnership models. - Prepare regular reports and presentations for executive leadership, highlighting partnership performance, challenges, and recommendations for improvement or expansion. - Foster strong working relationships with Legal, Product, Engineering, Research, and Finance teams, ensuring effective communication, alignment, and collaboration throughout the partnership lifecycle. Strong candidates may also - Represent the Product Partnerships unit in cross-functional meetings and discussions, advocating for partnership interests and ensuring alignment with broader organizational goals. - Leverage data and insights to inform product partnership strategies, continually optimizing approaches to maximize value and impact. - Leverage the expertise and support of cross-functional teams to navigate complex partnerships, address challenges, and drive successful outcomes. 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: $205,000 - $240,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff+ Software Engineer, Platform Intelligence
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 Intelligence turns each new Claude model's abilities into API features that developers can build on. Our goal is to make the full intelligence of each model available through the API. We own the capabilities that shape what Claude can do for developers: tool use, built-in tools such as web search and code execution, thinking controls, structured outputs, and the memory, files, and skills APIs. We also run the API side of every Claude model launch, including its safety features and controls. That means getting the API ready for each new model, coordinating with research, safeguards, product, and cloud partners, and making sure the model, its features, the SDKs, and the docs all ship together on launch day. The work sits where research meets product. We work with new models before they are public. When a model gains a new ability, we work out what it should look like as an API, build it, and ship it to developers on our own platform and on cloud platforms. Those decisions shape how developers first use each model. We also own API versioning and the evals that tell us a capability works in production. What you'll do You'll lead the design, build, and operation of API capabilities used by developers around the world. You'll work with research to understand what a new model can do and turn that into an interface that is simple, durable, and hard to misuse. You'll lead the API side of new model launches. You'll plan the work, track readiness across teams, resolve the issues that come up late, and see the launch through on the day. Between launches, you'll make the next one faster and safer. You'll set technical direction for work that spans several teams, write clear design proposals, review API designs from other teams, and mentor engineers on the team. Representative projects - Lead API readiness for a Claude model launch, so that every feature works on day one across our API, SDKs, docs, and cloud partners - Take a new model ability from research prototype to public API feature, from interface design to production rollout - Build and operate tools such as web search and code execution under real traffic - Automate the manual parts of a model launch - Build the evals that catch a capability regression before a launch You might be a good fit if you: - Have led technical projects that spanned several teams, from design through launch and operation - Have designed and operated production distributed systems where correctness, latency, and availability all matter - Have strong product sense and care about API design and developer experience - Make sound technical decisions with incomplete information, as models and priorities change close to a launch - Explain tradeoffs clearly to research, product, and go-to-market partners, including non-engineers - Make the engineers around you better through design review and mentoring - Use AI tools as a regular part of how you design, build, and review software - Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI Strong candidates may also have: - Building public APIs, SDKs, or developer platforms - Working with large language models, including tool use, agents, or evals - Running launches or migrations with fixed deadlines and many dependent teams - Building tools for agents, such as search or code execution - Storage, memory, or context systems at scale - Integrating with cloud platforms 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Public Policy, Strategic Advisory
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We’re hiring a strategic advisor to join the Strategic Advisory team within Policy Advocacy, part of Anthropic’s Public Policy team. This is an individual contributor role at the strategic heart of Anthropic’s policy function — designed for an operator with 8–10+ years of experience who wants to drive clarity on Anthropic’s most consequential policy positions, partner with cross-functional peers, and be deployed as a strategic resource across fast-moving policy work. Policy Advocacy turns Anthropic’s policy priorities into evidence-backed positions, research, campaigns, and partnerships — distinct from government relations and communications, but essential to enabling both. This role is designed to complement our existing Strategic Advisory capacity, which owns the documentation, translation, and deployment of Anthropic’s positions so that external-facing teams can use them. You’ll bring experience and judgment into the room, hold responsibility for a portfolio of strategically important positions, and partner as a peer with leaders across the policy, legal, comms, and product policy functions, working with colleagues on teams across the company on positions and messaging. The ideal candidate is effective across multiple stakeholders even through substantive disagreement, prioritizes closure over deliberation, and organized and process-focused but able to operate in ambiguity. Successful candidates will have experience building structure where none exists, including under unclear ownership and shifting priorities. We prize doers willing to do the work directly, no matter how small or large. Strategic and systems thinkers that understand how individual positions and engagements fit together across the broader policy landscape are encouraged to apply. Examples of work in this role might include producing a position package end-to-end: pressure-testing the position with internal SMEs (policy, legal, research), identifying and closing gaps, and producing the full set of deployable materials. Translating new technical research or policy analysis into policy-ready materials on short timelines for use by federal, state, and international affairs teams. Building and running a structured process to resolve a contested position and documenting the outcome. Leading the cross-functional policy strategy for a major launch, including alignment across policy, legal, comms, and research on external narrative, broader policy implications, and rapid-response plans. Standing up a cross-functional working group on an emerging platform or corporate issue, including scoping the problem, driving alignment across teams, producing a written strategy, and standing up the workstream. Distilling Anthropic’s approach to a complex or evolving issue into a deployable narrative, and integrating the output into the canon. This role offers a rare opportunity to shape Anthropic’s policy voice across the most consequential debates in AI governance, while operating with the pace, pragmatism, and service orientation of a top-tier public affairs function. Key responsibilities - Own a portfolio of Anthropic’s highest-priority policy positions, including position papers, FAQs, talking points, and fact sheets — managing versions, intended audiences, strategic relevance, and internal access. - Drive organizational consensus on contested technical policy positions — working with subject matter experts across federal affairs, state affairs, international affairs, national security, legal, comms, and research — moderating dissent, calling the question, and closing the loop on documented positions. - Develop and test message framings with internal and external audiences, iterating quickly and bringing rigor to what lands and why. - Translate technical research, model capability, and scientific content into policy-ready language for federal, state, and international policymakers, their staff, and legislators. - Serve federal, state, and international affairs teams as an internal senior advisor — improving their processes, standing up shared material libraries, and building the collateral and strategies they need to be effective in their markets. - Drive complex, cross-functional policy projects to resolution when no single team is set up to own them end to end — including model launch policy strategy, narrative coordination on contested issues, and working groups on emerging topics. - Stand up rapid-response playbooks when time-sensitive events require Anthropic to move in days rather than weeks, coordinating across legal, research, and external affairs. - Partner with policy communications to ensure message and voice consistency across Anthropic’s policy surface area. - Anticipate emerging issues, proactively work with internal experts to develop Anthropic’s perspective, and make sure we have the materials we need before external pressure emerges. Minimum qualifications - Have direct experience with message development and testing for policy, advocacy, or communications audiences. - Have experience translating technical material (scientific, engineering, or deeply technical policy) for non-expert decision-makers. - Are comfortable operating at breadth across multiple policy issue areas simultaneously, and can develop fluency in new ones quickly. Interest in and some experience with technology policy is important; deep AI policy expertise is a plus, not a prerequisite. - Have experience building or running rapid-response processes, crisis playbooks, or signature programs in fast-moving environments. - Can serve internal clients — federal, state, and international affairs colleagues — without needing to own external relationships yourself. You find that service posture energizing, not limiting. Preferred qualifications - Have 8–10+ years of professional experience in corporate public affairs, management consulting, government relations, policy or political campaigns, think tanks, or similar fast-paced, cross-functional environments. - Experience in technology, financial services, energy, pharma, or other heavily regulated industries. - Demonstrated ability to anticipate emerging issues and develop organizational perspectives proactively. - Experience designing and running a signature program or flagship campaign end-to-end. - Experience translating topics to policy-relevant audiences through communications, visual storytelling, marketing, or advocacy. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
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