Search AI Jobs
16,537 published AI roles — filter by keyword, skill, seniority or contract type.
16,537 results
Updated
Recruiting Sourcer, Business (GTM, Infrastructure...
About the Role We're hiring the best people in the market, and we need a sourcer who can help us find and win them. As a Recruiting Sourcer, you'll build and nurture the top of the funnel for our business-side hiring across Go-to-Market, Infrastructure Strategy, and G&A. You'll work with senior recruiting partners and business leaders on critical, hard-to-fill searches. Your first priority will be clearing our open searches by finding and engaging exceptional, mostly passive candidates. Over time, you'll build a warm pipeline of top-tier talent and a repeatable sourcing playbook that helps us scale. This is a chance to tell Together AI's story to people who are already doing great work elsewhere, and to see that work turn into real hires. Responsibilities - Source, engage, and nurture top-tier passive candidates across GTM, Infrastructure Strategy, and G&A, including Enterprise Sales, Solutions Engineering, Sales leadership, Marketing, Customer Success, Director-level G&A, and Strategy and Infrastructure roles at the intersection of finance and AI compute. - Partner with hiring managers and recruiters to calibrate on roles and ideal candidate profiles before sourcing - Write personalized outreach that conveys Together AI's story and resonates with each candidate - Proactively build pipelines for current and future roles, without waiting to be assigned - Build and maintain long-term relationships with top-tier talent - Track key sourcing metrics and use data to refine strategy and improve results - Develop repeatable sourcing systems and a playbook to scale as hiring grows - Work within our sourcing and recruiting stack, including GEM, LinkedIn Recruiter, Noon AI, and Greenhouse - Adapt quickly as priorities shift and move between functions with ease Requirements - 5+ years of sourcing experience (strong candidates with 3-4 years and exceptional results on hard-to-fill roles are also encouraged to apply) - Track record sourcing senior passive talent for critical, hard-to-fill roles across a range of functions and departments - Strong sourcing, mapping, and outreach skills, with the ability to craft compelling, personalized messaging - Experience in a startup or hyper-growth environment at some point in your career - Experience building sourcing systems, identifying key metrics, and making data-driven decisions - Strong communication skills and the ability to build trust with stakeholders and candidates - Self-directed and operationally agile, comfortable with shifting priorities - Genuine interest in AI, with some knowledge of the space or a willingness to learn - Experience with sourcing tools like GEM, LinkedIn Recruiter, and Noon AI is a plus; familiarity with Greenhouse or a similar ATS, or the ability to adopt new tools quickly If you don't meet every requirement but believe you'd be a great fit, we'd still love to hear from you. 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 competitive benefits. The US base salary range for this full-time position is: $ 125 -190K + bonus program + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunities 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 .
Software Engineer, Mobile Web — Dots
About the Team Dots is building personal AI agents that help people make progress on their goals, including when they are away from ChatGPT. These agents can learn preferences, maintain context, work across applications, and use cloud computers to carry out tasks. Our team brings together product engineering, design, and research to turn frontier model capabilities into useful everyday experiences. We are defining how people delegate work, understand what an agent is doing, and stay in control. Engineers help shape both the product and the systems behind it, from early prototypes through launch and iteration. About the Role We are looking for Senior and Staff Software Engineers to build the mobile web experience for Dots. You will create responsive, accessible interfaces that let people start work, follow progress, and guide their agents from a phone or browser. You will help establish interaction patterns for ongoing, asynchronous work and make sophisticated agent capabilities feel clear and approachable. In this role, you will: - Design and ship mobile web experiences for creating tasks, reviewing agent activity, and providing feedback or direction. - Build interfaces that handle streaming updates, long-running tasks, interrupted sessions, and changing connectivity. - Improve responsiveness, loading performance, accessibility, and usability across screen sizes and browsers. - Partner with design and product to prototype interaction patterns that give users visibility and control over agent actions. - Work with backend and full stack engineers on APIs, client state, and reliable synchronization between the interface and agent services. - Own features from exploration and technical design through launch, measurement, and refinement. - Help set frontend architecture and engineering practices while staying hands-on with implementation. You might thrive in this role if you: - Have substantial experience shipping polished web applications, with deep expertise in mobile web development and browser behavior. - Bring strong frontend engineering skills and understand responsive layouts, accessibility, client state, and application performance. - Have built interactive interfaces that stay understandable as data or task state changes asynchronously. - Combine attention to visual and interaction details with sound technical judgment. - Can turn ambiguous product problems into working software and use user feedback to improve it. - Work well with designers, product partners, researchers, and engineers across the stack. - Have led complex projects or influenced architecture while continuing to write and ship code. - Experience with real-time collaboration, offline or intermittent connectivity, or products that help users manage complex workflows is especially relevant. - Prior experience with AI or machine learning is helpful, but not required. We welcome experienced engineers who want to bring strong product and engineering judgment to a new category of software. 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.
Software Engineer, Full Stack — Dots
About the Team Dots is building personal AI agents that help people make progress on their goals, including when they are away from ChatGPT. These agents can learn preferences, maintain context, work across applications, and use cloud computers to carry out tasks. Our team brings together product engineering, design, and research to turn frontier model capabilities into useful everyday experiences. We are defining how people delegate work, understand what an agent is doing, and stay in control. Engineers help shape both the product and the systems behind it, from early prototypes through launch and iteration. About the Role We are looking for Senior and Staff Full Stack Software Engineers to build Dots product experiences from the interface through the services that power them. You will help define how people delegate tasks to personal agents, follow their progress, and collaborate with them over time. This role combines hands-on product development with the systems work needed to make persistent, asynchronous agent experiences reliable. In this role, you will: - Build and launch features across web interfaces, APIs, backend services, and data models. - Create workflows for task creation, progress updates, agent feedback, and results that remain coherent across sessions and devices. - Translate emerging model capabilities into product prototypes with research, product, and design partners. - Design clear interfaces between product surfaces and agent execution systems. - Improve performance and reliability across the stack, including user-facing latency and recovery from partial failures. - Own projects from early exploration through architecture, implementation, launch, and iteration based on user feedback. - Help establish technical direction, testing practices, and observability as the product grows. You might thrive in this role if you: - Have significant experience building and shipping products across frontend and backend systems. - Can move comfortably between user interfaces, service design, APIs, and data modeling. - Bring strong product instincts and care about making complex capabilities understandable to users. - Have taken ambiguous ideas from concept to production and made practical tradeoffs between iteration speed and long-term maintainability. - Understand asynchronous workflows and can reason about state, consistency, and failure across system boundaries. - Collaborate effectively with design, product, research, and engineering partners. - Have owned complex engineering projects and helped other engineers make sound technical decisions. - Experience launching new consumer products, building agent or workflow applications, or working in small teams with broad engineering ownership is especially relevant. - Prior experience with AI or machine learning is helpful, but not required. We welcome experienced engineers who want to bring strong product and engineering judgment to a new category of software. 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.
Sales Development Representative (London) - EMEA
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 LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast. Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more. About the role: We’re hiring Sales Development Representatives to join our SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects. You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI. What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator. What you will do: - Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value. - Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience. - Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development. - Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency. - Use LangChain powered agents to test, learn, and improve prospecting strategies How to be successful in this role: - 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career) - Clear, confident communicator who can engage both technical and business audiences - Motivated by learning, iteration, and experimentation you treat outreach like a craft - Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way - Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate - Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction Compensation & Benefits - Compensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. - Annual On Target Earnings - 110,000 GBP (70/30 split) 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.
Customer Program Manager, Executive Briefings
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Executive Briefing program brings senior leaders from our most strategic customers together with our spokespeople, product leaders, and researchers. As a Program Manager, Executive Briefings, you will run the program at one of our briefing centers and help build the global operating model that ensures an exceptional and consistent experience across the globe. You will be the main program lead for your location and own briefings end to end: qualification and intake, agenda design, speaker selection, and day-of execution. You will set the objectives and design for each agenda and develop it jointly with Sales. You will also be the local account teams' go-to partner on how to use a briefing to move their most important opportunities forward. You will manage the global workstream and set the standard every center follows, so customers get the same quality of briefing wherever they meet us. This is a highly cross-functional role. You will work with regional GTM leadership and the Office of the CCO on account selection and program strategy, with Product Marketing on content, with Solutions on technical deep-dives and demos, with Anthropic's executive bench on sponsorship and participation, and with Workplace, Security, and Revenue Operations on the experience and systems behind every briefing. You will be comfortable running every part of a briefing yourself and maintaining tight alignment with internal stakeholders. Key responsibilities - Own the Executive Briefing program at your location: the local calendar, capacity planning, the request and intake process from Sales, and operating SLAs, applied against global criteria and regional allocation - Work with regional GTM leadership to decide which strategic accounts receive a briefing each quarter, hold the qualification bar, and proactively surface accounts that should be engaged - Lead discovery with account teams before each briefing to understand the customer's objectives, business context, and stage of evaluation, and turn that into a tailored agenda - Own agenda design and co-own agenda development with Sales for every briefing, including the narrative arc, discussion topics, speakers, and demos - Build and manage the speaker bench for your location: identify, source, and match speakers to briefings, run prep, and manage capacity so no one is over-asked - Own day-of orchestration and the customer experience standard at your center, in partnership with Workplace on logistics - Contribute to the playbooks, tooling, and best practices that let the program scale consistently across centers while allowing for regional nuance - Share intake and triage on a rotation across time zones so every request gets a decision within the defined SLA - Maintain one source of truth for criteria, lead times, and process so account teams get one answer - Own measurement and reporting for your center and contribute to global reporting on briefing volume, capacity and allocation, strategic-account coverage, and program-influenced pipeline and expansion - Onboard and coach briefing team members and contractors across locations Minimum qualifications - Experience running executive briefings, customer events, or a comparable program for senior external audiences - Program management skills, including intake and prioritization, capacity planning, and managing multiple concurrent programs against SLAs - Experience designing agendas and facilitating discussions with C-level or other senior customer audiences - Experience building processes, playbooks, or tooling that help a program operate consistently - Ability to track, report on, and communicate program metrics such as volume, coverage, and pipeline influence - Strong written and verbal communication skills, with the ability to partner credibly with field leadership, executives, and internal subject matter experts - Work on site at your briefing center when briefings take place Preferred qualifications - 6+ years of experience building or scaling an executive briefing program, or a similar customer-facing program, at an enterprise technology company - Experience in a high-volume briefing environment - Experience with CRM and reporting tools such as Salesforce, and with connecting program activity to pipeline and expansion outcomes - Experience identifying and surfacing speakers for the speaker bench and managing speaker capacity across product, research, and executive teams - Experience working across time zones or across multiple sites to set one global standard - Experience onboarding or coaching new team members or contractors - Familiarity with AI products and how enterprises evaluate and adopt them - Interest in Anthropic's mission to build AI that is safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Program Manager, Science Strategy & Comm...
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 Accelerating scientific discovery is a core part of Anthropic's mission, and we believe the highest-leverage path to this is enabling researchers externally to use Claude effectively for their work. This involves communicating Claude’s rapidly improving scientific capabilities through outreach and editorial programs, as well as putting Claude in the hands of researchers through grants, ergonomic research tools, and access programs that help scientists do more with AI than was previously possible. We’re hiring a Technical Program Manager to be the bridge between the researchers advancing Claude’s scientific capabilities and the outside scientific community. Embedded with the Discovery team, you’ll conceptualize and run the programs that get Claude into scientists’ hands and shape the Anthropic Science Blog, working with Communications, Editorial, Beneficial Deployments, and external partners such as universities, funders, and scientific societies. This is a technical role, not a purely operational one. These programs already have strong operational and editorial owners. You bring research taste and a firsthand understanding of how academia works, so we’re looking for someone who has been a researcher themselves, ideally through a postdoc or beyond. You’ll have significant autonomy: once aligned with Discovery’s leads on strategy, you’ll drive decisions on what we fund, what we publish, and how we engage with academic communities Key responsibilities - Act as the interface between research and the outside world. Stay close to the researchers working on Claude's scientific capabilities and translate rapid capability gain into use by external researchers. - Help set Anthropic’s external science strategy. Recommend which scientific areas and communities we focus on, and how our programs, collaborations, and communications fit together - Guide the scientific direction of the Anthropic Science Blog . Work with researchers and the Editorial team to identify and source stories internal and external stories worth telling, draft and edit posts, and keep a steady cadence of high-quality science writing. - Drive forward external science programs. Design, launch, and run grants and access programs such as AI for Science grants and Team plan offerings for research groups, as well as partnerships with scientific foundations and grantmaking organizations. Work with Beneficial Deployments on programs aimed at the highest-impact scientific areas. - Gather feedback from scientific communities. Identify usage patterns and gather feedback on how researchers use Claude and what capability gaps exist, and turn it into concrete recommendations for research and product teams. Minimum qualifications - A PhD in a scientific or mathematical field, with a track record of original research - Demonstrated writing ability for both scientific domain and general-interest audiences, with enough understanding of how modern AI models are trained to write about them accurately. - Experience with the grants process, such as applying for and managing competitive funding, and ideally designing, reviewing, or administering funding programs - Deep engagement with frontier AI: you use these tools in your own work, understand where they're strong and where they fail, and take seriously the possibility that AI will transform every face of the scientific process within the next few years - Track record of driving multi-stakeholder projects to completion, and of coordinating people who are juggling other high-priority work. You’re resourceful, high-agency, and able to navigate ambiguity and shifting priorities. - Credibility with researchers: you can talk to scientists as a peer and understand how academic communities work, including their incentives, norms, and sensitivities - Fast learner who builds deep contextual understanding in unfamiliar scientific domains and can contribute meaningfully to discussions with researchers outside your own field. Preferred qualifications - Experience as a program officer, program director, or fellowship lead at a science funder, research agency, or philanthropy - Published science writing in outlets such as Quanta, Scientific American, or Physics Today, or a substantial public writing presence such as a blog or newsletter - Research experience that uses AI or ML methods, or that involves building scientific software, tools, or datasets - Experience building partnerships with scientific societies, journals, or research institutions - Familiarity with AI safety and responsible deployment, including dual-use considerations in fields like biology - Experience organizing conferences, workshops, or large coordinated launches The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 - $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Safety Research Scholar - Human Frontier Labs
About the Program The Human Frontier Collective (HFC) brings researchers and scientists together to tackle consequential problems in AI. In partnership with Scale Labs, we are building a small cohort of researchers to work on the empirical foundations of AI safety. That work includes finding where models fail, checking whether safety controls hold up under pressure in realistic settings, and studying how AI agents (mis-)behave over long-horizon tasks. Scholars take open research questions like these and turn them into work that improves how frontier AI systems are evaluated and safeguarded. Each scholar owns a substantial part of a safety research project. You'll work alongside a mentor from the research question through the experiments to deciding what to test next. Research Areas Mentors will guide Research Scholars on projects in selected AI safety research areas in select AI safety research areas, such as: - AI control and chain-of-thought monitoring: Developing techniques to oversee and constrain AIs, including detecting harmful intent or deception. - Alignment auditing and evaluations: Building scalable methods to test whether models have hidden goals, misaligned behaviors or unsafe tendencies. - Multi-agent safety: Studying the risks that emerge when multiple agents interact, such as collusion, coordinated failures, or unexpected collective behavior. - Recursive Self-Improvement (RSI) safety: Investigating how to keep AI systems safe and aligned as AIs increasingly contribute to their own development. - Science of Evaluations: examining when and how models recognize they're being tested, and how situational awareness affects the reliability/validity of evaluations. - Misuse risks and evaluations: Developing methods to assess how AI systems could be exploited by malicious actors, including evaluating their potential to enable harmful activities. Projects are matched to demonstrated expertise; we don’t expect any candidate to cover every area. Representative Research - ASPI : 728 task–attack scenarios testing how clarification-seeking changes prompt-injection vulnerability in LLM agents. - PropensityBench : simulating real-world pressure to choose between safe or harmful behavior - BioRiskEval : evaluating whether safeguards for open-weight bio-foundation models remain robust under fine-tuning and probing. - See more work from the Human Frontier Collective . What You'll Do Projects are mentor-guided. By default, you will be given a list of research proposals and match you with one based on your research interests and background. You’ll meet weekly with a Scale researcher who sets the direction and gives feedback, and you will drive the day-to-day work. - Own research end to end: Turn a high-level safety question into hypotheses, baselines, and controlled experiments, and produce work that others can inspect and build on. - Build the measurement: Implement and debug evaluation harnesses, agent environments, datasets, monitoring methods, or post-training experiments. - Exercise research judgment: Identify confounds, separate what a model can do from what it tends to do, make sense of negative results, and decide what to try next without step-by-step direction. - Make the work legible: Produce reproducible code, experiment logs, analysis, and precise technical writing. External outputs, where appropriate, remain subject to research, security, and communications review. Outputs also include research papers, which will be submitted to top ML conferences (NeurIPS, ICML, ICLR). Who We're Looking For You may be a good fit if you: - are motivated by reducing catastrophic risks from advanced AI systems; - are interested in technical safety research, such as alignment evaluations, AI control, monitoring, multi-agent safety, or open-weight model safety; - are pursuing or have completed a PhD in CS, ML, statistics, mathematics, or a related field (we also encourage researchers with an equivalent track record to apply); - can make progress with high-level guidance, including implementing, debugging, getting unstuck, interpreting results, and proposing next experiments; - communicate research clearly and handle confidential information and internal systems responsibly. Application Process - Apply: Submit your resume or CV, your Google Scholar profile if you have one, and one research project you substantially owned, with 2–3 sentences on your contribution. - Research background discussion: Walk us through a past project, including what you tried, what didn't work, and what you learned. - Research design: Work through a research problem with us and propose how you'd approach it. - Onboarding: Successful candidates complete the applicable recruiting, work-authorization, security, and project-onboarding steps. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Research Engineer, Orchestral
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. As a Research Engineer on the Orchestral team, you will help build the agentic platform we use to train and evaluate our models. Orchestral is the system our researchers rely on to run training and evaluation at scale — from the rollout engine that powers agentic workflows to the infrastructure that keeps their workloads running reliably. What you build becomes the foundation the whole science team works on. Your work will span the platform's core: the library, tooling, abstractions and rollout engine — including new capabilities like long-running tasks, subagents and RL features — and the machinery that runs data and jobs at scale, with a focus on resiliency, routing and request handling. You will own significant pieces end to end, from design to production. This is a software engineering role rather than an ML or infrastructure-operations one: RL or PyTorch experience is not required, and you will spend your time building the platform, not operating it. You will be building a distributed RL system, with the scientists as your users. What You Will Do - Design and build the core of the Orchestral platform: the library, abstractions and tooling researchers use to train and evaluate models. - Build and evolve the rollout engine, shipping new capabilities such as long-running tasks and subagents. - Run Orchestral as a production system: keep training and evaluation workloads reliable at scale. - Improve how data and jobs flow through the platform as usage grows — scheduling, routing and request handling. - Treat researchers as your users: understand their workflows and turn recurring needs into robust, shared tooling. - Raise the bar on engineering quality across the platform: testing, code review, CI/CD, observability and documentation. - Contribute to open-source rollout-engine and agent-infrastructure projects where it benefits the platform. What We're Looking For - Experience directly building and debugging complex distributed systems at scale, with an emphasis on reliability and scalability. - Strong Python skills and solid software-design instincts: testing, code review, CI/CD. - A builder mindset: you have constructed systems from the ground up, not just operated polished ones. - A track record in small teams running complex systems at scale — for example in finance, crypto or ad tech. - Self-starter, low-ego and collaborative, with a product mindset toward your users. - Curiosity about ML and RL — this experience is not required, but a desire to learn is. Nice-to-haves - Hands-on experience with Ray or similar distributed-computing frameworks. - Open-source contributions, especially to rollout-engine or agent-infrastructure projects such as SLIME, verl or PrimeRL. - Experience building or working with agentic workflows and environments. 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 .
Customer Success Manager, Enterprise Tech
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 Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption across a small number of enterprise accounts in our Enterprise Tech segment. As our dedicated Customer Success Manager for Enterprise Tech Customers you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas. You'll work with a book of global technology leaders to actively deploy AI and reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: - Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion - Own customer operations across the lifecycle of each account, maintaining a structured operational assessment (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Executive Business Reviews - Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions - Leverage your deep knowledge of each customer, and the patterns you see across your other Tech accounts, to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses and quantifying outcomes that build the case for continued and expanded investment. - Monitor usage patterns and identify optimization opportunities across Claude surface areas (API, Claude Code, Cowork) to drive full value from contracted commitments - Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs - Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement - Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions You may be a good fit if you have: - 6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or Strategy Consulting - Experience working with F500 technology companies, SaaS platforms, or digital-first businesses at the exec level—ideally including high-growth and established tech companies. - You understand what it means to lead organization-wide change or adoption programs (multiple functions, hundreds of users) for a product that requires C-suite sponsorship - Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users - Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes — you can run multiple enterprise motions in parallel without letting any account go quiet. - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Passion for AI and interest in responsible development of advanced systems. You have built with Claude Code, automating your own workflows with agents, skills, and tooling. - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality 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: $200,000 - $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Policy Design Manager, Integrity and Authenticity
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Integrity and Authenticity Policy Manager, you will be responsible for developing, refining, and maintaining policies that prevent the misuse of AI systems for deception, manipulation, and unauthorized monitoring at scale. You will serve as the policy owner for risks related to inauthentic behavior, influence activity, surveillance, and the profiling of individuals and groups, and you will help shape policy frameworks across several areas, including authenticity, information integrity, and privacy and surveillance. Your initial focus will be on translating the Integrity and Authenticity risk framework into clear, enforceable policies, ensuring policy language addresses emerging threats identified by partner teams, and establishing guidelines that enable consistent enforcement decisions. Many of the most serious harms in this space begin with upstream steps that look routine on their own, such as compiling records about a person, automating account creation, or sorting users by inferred identity. Part of your work will be defining where those steps become prohibited. The role will expand as AI capabilities advance. Safety is core to our mission. You will help ensure our products cannot be used to deceive people at scale, monitor and profile people without their knowledge or consent, or sort and target populations based on sensitive characteristics. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature, as well as detailed descriptions of privacy violations, surveillance abuses, and deceptive campaigns targeting vulnerable people. Key responsibilities - Develop and define policy boundaries for covert monitoring, tracking, and surveillance across different contexts, drawing the distinction between malicious behaviors and compliant dual-use scenarios - Write policy guidance on facial recognition, voice cloning, and geolocation inference, specifying which uses require consent and which are prohibited outright - Map the surveillance lifecycle, from target selection and data collection through analysis and covert deployment, and define the policy line at each stage so that interventions can occur early in the chain - Design and oversee evaluations that measure the model's capability to support social media monitoring, people-finding, predictive profiling, and the identification or tracking of specific people, to build, develop and improve safeguards with cross-functional partners to prevent malicious behaviors - Write and refine external-facing Usage Policy language and develop training guidelines, assessment rubrics, and evaluation protocols for enforcement teams, with emphasis on indicators of covert monitoring and population-level targeting - Validate enforcement decisions and automated assessments, provide policy guidance on complex edge cases such as investigative research into surveillance tools, coordinate with civil society, privacy experts, threat intelligence researchers, and academics, and serve as the escalation point for complex integrity and surveillance cases Minimum qualifications - Working knowledge of how deceptive campaigns and covert monitoring operate in practice, including account networks, bot operations, data aggregation pipelines, and attribution methods - Familiarity with surveillance technologies and their misuse, including social media monitoring tools, people-search services, location tracking, spyware, facial recognition, and open-source intelligence techniques used against individuals - General knowledge of the global regulatory landscape around data protection, privacy, platform regulation, and digital services accountability - Strong policy writing skills, with the ability to translate complex threat frameworks into clear, enforceable guidelines - Experience designing policies and workflows that enable both clear human enforcement decision-making and technical implementation in ML classifiers and detection pipelines - Strong collaboration skills and extensive experience partnering with Engineering, Data Science, Legal, Threat Intelligence, and Policy teams on cross-functional initiatives - Excellent written and verbal communication skills, with the ability to explain deceptive tactics, surveillance methods, and policy rationales to diverse audiences, including non-specialists and policymakers Preferred qualifications - 5+ years of experience in policy development, trust and safety, threat intelligence, or platform integrity, with hands-on work on inauthentic behavior, surveillance-related abuse, or data misuse - Experience in privacy policy, privacy engineering, or data protection work, including familiarity with privacy impact assessments and data minimization principles - Experience in intelligence roles, state-aligned monitoring operations, or covert data collection campaigns - Experience investigating inauthentic networks, covert monitoring, or surveillance abuses at a platform, research organization, or government body - Background in digital forensics, open-source intelligence, or threat attribution - Knowledge of persuasion theory, cognitive biases, and deceptive communication techniques, including social engineering and pretexting methods - Familiarity with human rights and privacy frameworks as they apply to surveillance, including protections for journalists, activists, and marginalized communities - Experience with trust and safety operations involving content moderation evasion, bot detection, or platform scraping enforcement - Experience working with EU institutions, regulatory bodies, or policy organizations on AI governance or digital platform regulation - Experience conducting adversarial testing, red teaming, or vulnerability assessments for AI systems or platforms, particularly for misuse involving monitoring or profiling - Familiarity with generative AI capabilities and an understanding of how LLMs can be used for synthetic personas, social engineering, predictive profiling, or surveillance at scale The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 - $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Applied AI Architect, Security 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 Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Applied AI team helps the world’s largest organizations put Claude to work. As a Cybersecurity Specialist on Applied AI, you’ll be part of an overlay team of domain experts who sit alongside our enterprise account teams and bring deep security expertise to the accounts where it matters most. You won’t own an account. You’ll be the security expert the account team pulls in to win and grow the most important security conversations: helping CISOs and security leaders see where Claude can take on real security work, then guiding them from early pilots to durable, production workloads. You’ll cover a portfolio of enterprise accounts across regulated industries like financial services, insurance, and healthcare, strategic accounts like semiconductors (IP protection, industrial control systems, export controls), and digital natives and public sector agencies, each with its own threat model. How this team works - You partner with account executives, account architects, and generalist Applied AI engineers, who own the customer relationship and the broader technical engagement. You bring the security depth they don’t have time to build. - You work across many accounts at once, so the playbooks, reference implementations, and evaluation approaches you build are reused across the field, not just for one customer. - You are the connection point between the field and Anthropic’s Product, Research, and Engineering teams, turning what you see in customer security programs into product feedback. - You work alongside ISVs, systems integrators, and managed security providers who already serve these customers, enabling them where they own the engagement rather than competing with them. Responsibilities - Join account teams to understand a customer’s security program, identify where Claude can do meaningful security work, and turn that into a technical plan and business case - Serve as the security-domain technical advisor on strategic enterprise accounts, from discovery through deployment - Move customers from one-time code scanning to sustained security workloads: application security in the SDLC, continuous automated penetration testing, alert triage and investigation, and threat intelligence that answers “does this new vulnerability affect us, and where” - Build and maintain reference implementations, harnesses, and evaluation approaches, and help customers adapt them to their own environments and controls - Run workshops and hands-on sessions where customer security teams use Claude on their own code and workflows - Equip partners to deliver Claude-powered security outcomes, with a clear line between what Anthropic delivers and what partners deliver - Speak credibly to every audience, from appsec engineers to CISOs and executives, including how to explain the value and risk of security work in business terms - Define and track adoption depth for each security workload across your accounts, and work with Product and Engineering on the telemetry to measure it - Write the playbooks and best practices the rest of the field can reuse, including how Claude complements the security tooling customers already own - Develop reference customers who can speak to the value they’re realizing - Stay current on frontier LLM capabilities and the new classes of vulnerabilities and attacks they surface - Travel occasionally to customer sites for workshops and technical deep dives You may be a good fit if you have - 5+ years in security roles, with hands-on depth in at least two of: application security and secure SDLC, offensive security and penetration testing, detection and response, or threat intelligence and vulnerability management - Experience in a technical customer-facing role (Solutions Architect, Sales Engineer, security consultant, TAM), or on a security team where you had to win investment from leadership - Experience with large enterprise customers and complex, multi-stakeholder buying cycles, including working alongside the vendors and partners already in the account - The ability to translate between security teams, engineering teams, and executives - Comfort with Python, CI/CD, and cloud environments, plus hands-on experience using LLMs for security work such as code review, vulnerability discovery, triage, or investigation - A love of teaching and a collaborative approach to working across teams and balancing competing priorities 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: $300,000 - $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Research Intern, Frontier Speculative Decoding (Wi...
About the Role The Speculative Decoding team at Together AI builds the draft models and algorithms that let large language models generate faster without changing their outputs. Our speculators run in production on frontier open models such as DeepSeek, Kimi and GLM. Our work sits at the intersection of model training, inference algorithms and serving systems, and we co-design all three to lower the cost and latency of generation. As a research intern, you will dive into open questions in speculative decoding: new drafter architectures and verification schemes, knowledge distillation and training recipes that align draft and target models, and drafters that adapt as traffic shifts. You will train and fine-tune draft models at scale on dedicated GPU clusters, and test your ideas against realistic serving workloads, including long-context and agentic traffic. Projects aim to answer important research questions in speculative decoding, enabling faster generation on frontier models, drafters that keep pace with changing workloads, and robust, reproducible evaluation under real traffic. Past Research Speculative decoding research by Together researchers, interns and academic collaborators includes: - Speculative Speculative Decoding (ICLR 2026) - When RL Meets Adaptive Speculative Training: A Unified Training-Serving System (ICML 2026) - Beat the Long Tail: Distribution-Aware Speculative Decoding for RL Training (MLSys 2026) Responsibilities - Research and prototype new efficient speculative decoding algorithms and draft model architectures - Train, fine-tune and distill draft models, and design rigorous experiments to validate hypotheses. - Implement optimized version for serving engines to show efficacy in real world workloads - Communicate the plans, progress, and results of projects to the broader team - Share findings through technical write-ups and blog posts, and help bring successful ideas into production Requirements - Currently pursuing a Master's or Ph.D. degree in Computer Science, Electrical Engineering, or a related field - Strong knowledge of Machine Learning and Deep Learning fundamentals - Hands-on experience training or fine-tuning large models with distributed training frameworks (e.g., Megatron-LM, FSDP) - Familiarity with modern model architectures, such as Mixture-of-Experts and hybrid attention Preferred Qualifications - Prior research experience in speculative decoding, efficient inference, or efficient machine learning - Publications at leading conferences in machine learning or systems (e.g., NeurIPS, ICML, ICLR, MLSys) - Experience with knowledge distillation, post-training, or reinforcement learning - Familiarity with LLM serving engines (e.g., vLLM, SGLang, TensorRT-LLM) - Contributions to open-source machine learning projects 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. Internship Program Details Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span January 4th to April 9th. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 - $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. For more information about our privacy policy, please visit: https://www.together.ai/privacy
Research Intern, Frontier Speculative Decoding (Su...
About the Role The Speculative Decoding team at Together AI builds the draft models and algorithms that let large language models generate faster without changing their outputs. Our speculators run in production on frontier open models such as DeepSeek, Kimi and GLM. Our work sits at the intersection of model training, inference algorithms and serving systems, and we co-design all three to lower the cost and latency of generation. As a research intern, you will dive into open questions in speculative decoding: new drafter architectures and verification schemes, knowledge distillation and training recipes that align draft and target models, and drafters that adapt as traffic shifts. You will train and fine-tune draft models at scale on dedicated GPU clusters, and test your ideas against realistic serving workloads, including long-context and agentic traffic. Projects aim to answer important research questions in speculative decoding, enabling faster generation on frontier models, drafters that keep pace with changing workloads, and robust, reproducible evaluation under real traffic. Past Research Speculative decoding research by Together researchers, interns and academic collaborators includes: - Speculative Speculative Decoding (ICLR 2026) - When RL Meets Adaptive Speculative Training: A Unified Training-Serving System (ICML 2026) - Beat the Long Tail: Distribution-Aware Speculative Decoding for RL Training (MLSys 2026) Responsibilities - Research and prototype new efficient speculative decoding algorithms and draft model architectures - Train, fine-tune and distill draft models, and design rigorous experiments to validate hypotheses. - Implement optimized version for serving engines to show efficacy in real world workloads - Communicate the plans, progress, and results of projects to the broader team - Share findings through technical write-ups and blog posts, and help bring successful ideas into production Requirements - Currently pursuing a Master's or Ph.D. degree in Computer Science, Electrical Engineering, or a related field - Strong knowledge of Machine Learning and Deep Learning fundamentals - Hands-on experience training or fine-tuning large models with distributed training frameworks (e.g., Megatron-LM, FSDP) - Familiarity with modern model architectures, such as Mixture-of-Experts and hybrid attention Preferred Qualifications - Prior research experience in speculative decoding, efficient inference, or efficient machine learning - Publications at leading conferences in machine learning or systems (e.g., NeurIPS, ICML, ICLR, MLSys) - Experience with knowledge distillation, post-training, or reinforcement learning - Familiarity with LLM serving engines (e.g., vLLM, SGLang, TensorRT-LLM) - Contributions to open-source machine learning projects 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. Internship Program Details Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span May 17th to August 6th or June 14th to September 3rd. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 - $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. For more information about our privacy policy, please visit: https://www.together.ai/privacy
Staff Software Engineer - AI Compute, Together Clo...
About the Role Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the Together GPU Clusters flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together's inference, RL, and fine-tuning products. As a Staff Software Engineer focusing on AI Compute in the Together Cloud org, you will set technical direction for and build major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware: GB300s/VRs, BlueField DPUs, InfiniBand and dual/quad-plane RoCEv2 fabrics. That virtualized computing platform powers our own SaaS products – inference, RL, and fine-tuning – and serves external cloud customers through self-serve offerings such as on-demand/reserved Kubernetes/Slurm clusters, across dozens of data centers and hundreds of thousands of GPUs. This is an architect-and-build role. Fully automated bootstrapping of GPU data centers, high-performance virtualization of GPU compute and DC networking without compromising isolation or portability, and fault-tolerant decentralized control planes — you'll set the architecture for these across our global and in-DC services, and be a key owner of the hardest parts, in the code as well as the design. Your designs will span the IaaS layer of a greenfield Vera Rubin data center up to the global management plane that schedules capacity across all of them. At this level the job is as much leverage as code: the standards you set and the engineers you grow decide how fast the rest of Together Cloud ships. Responsibilities - Own the GPU and network virtualization stack: the hypervisor, kernel, and SDN work that keeps GPU compute and DC networking high-performance, portable, and strongly isolated across heterogeneous hardware. - Own the in-DC IaaS layer: architect and roadmap the services, Kubernetes operators, and libraries that provision and manage compute, storage, and networks in our data centers — VMs, parallel filesystems, VPCs, and InfiniBand partitions; lead its build-out for a new Vera Rubin data center with thousands of GPUs, from hardware bring-up to customer-facing API. - Design the GPU scheduling and global management plane: the distributed control plane behind on-demand and reserved clusters across dozens of data centers, including the systems that scale per-cluster limits and automate the onboarding of new capacity. - Architect monitoring and automated remediation for fault tolerance: the strategy for automated detection, isolation, and recovery of failed nodes that keeps distributed pretraining and large-scale inference running through hardware failures. - Set technical direction across teams: lead design reviews, resolve cross-cutting architectural disagreements, unblock cross-team dependencies and integration risks, and define the standards other engineers build against — measured in cluster reliability, time-to-first-GPU on new capacity, and quality at scale. - Grow the team: mentor senior and junior engineers, deepen the team's expertise in virtualization, DC networking, and GPU infrastructure, and help raise the hiring bar for Together Cloud. - Set the engineering bar: create the testing frameworks, tools, and developer documentation that make our systems robust and usable by other teams, and shape the core, open-source Together AI platform. To be successful you'll need to be deeply technical and an excellent communicator — expert software development fundamentals, deep systems knowledge and troubleshooting instincts, and the leadership and diplomacy skills to align teams that don't report to you. Much of this work starts ambiguous, and we expect you to define the scope yourself and drive it to production. Requirements - 7+ years of professional software development experience, with expert-level proficiency in at least one backend language (Golang desired), writing high-performance, well-tested, production-quality code. - Track record of owning the architecture of large distributed systems from blank page to production at scale, including the judgment calls that could not be reversed cheaply. - Deep experience building and operating globally distributed, high-performance microservice architectures across one or more cloud providers (AWS, Azure, GCP). - Expert systems knowledge across compute, networking, and storage — including concurrency, memory management, performant I/O, and scale at a global level. - Demonstrated technical leadership beyond your own commits: mentoring senior engineers, leading design reviews, and driving alignment across teams that do not report to you. - Excellent communication and diplomacy skills — able to write design docs that settle arguments, and to work effectively with technical and non-technical stakeholders. - Experience building and operating reliable, customer-facing production systems at scale, and owning the infrastructure automation (Terraform, Ansible), observability (Prometheus, Grafana), and CI/CD (GitHub Actions, ArgoCD) that keep them healthy. Preferred Qualifications (not must haves) - Deep Kubernetes internals experience, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches to Kubernetes itself - Deep experience with VMs/hypervisors, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV - Deep experience with DC networking tech + solutions, such as VLAN, VXLAN, VPN, VPC, OVS/OVN - Experience with Cluster API or similar - Experience working on high-performance compute, networking, and/or storage - Experience virtualizing GPUs and/or InfiniBand - Experience building IaaS or PaaS systems at scale - Experience with DPUs/SmartNICs - GPU programming, NCCL, CUDA knowledge 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. 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
Manager, Applied AI Architects - Digital Natives,...
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 Manager of the EMEA Digital Natives Applied AI Architecture team, you'll drive adoption of frontier AI across Europe's fastest-growing technology companies: SaaS scale-ups, fintechs, marketplaces, consumer platforms, and developer-tooling businesses. Your team makes Anthropic's products (Claude Enterprise, Claude Code, and the Claude API) successful in production. They address each customer's business needs and technical requirements, and they meet the high bar for reliability and safety that these companies' own users expect. You'll lead and grow a team of Applied AI Architects across EMEA. You'll set the pre-sales standards for the segment, develop each person on the team, and act as a technical lead on some of Anthropic's most strategic European accounts. You'll work closely with Sales, Product, and Engineering to help digital-native companies build Claude into their core products and platforms. You'll also explain complex solutions clearly to both engineers and executives. Responsibilities - Manage and mentor a distributed team of Applied AI Architects, providing technical guidance and career development - Set goals and run performance reviews that drive growth and output - Work directly with a small number of the highest-value EMEA digital-native customers on their AI adoption strategy, including: - use case scoping - building technical champions - running POCs - Partner with EMEA GTM leadership to understand customer requirements and co-build segment strategy - Own the technical side of pre-sales, making sure your team delivers compelling demos and validates customer ROI - Guide customers through EMEA-specific technical and procurement requirements, including GDPR, the EU AI Act, and data residency - Align cross-functional stakeholders across time zones and regions to drive business outcomes - Travel regularly across EMEA for executive sessions, technical workshops, and relationship building - Lead the vision and execution of solutions that use our latest models for tech-forward use cases - Represent Anthropic in the European tech community through conferences, meetups, webinars, and technical content - Stay current on AI/ML developments and the competitive landscape in the European tech sector You may be a good fit if you have - 7+ years of experience as a Solutions Architect, Sales Engineer, or in a similar pre-sales technical role - 3+ years of experience managing pre-sales or technical GTM teams, ideally across multiple EMEA markets - Experience selling to and working with digital-native companies, such as vertical or horizontal SaaS, consumer tech, fintech, PaaS, or developer platforms - Familiarity with how European tech companies evaluate and procure technology, including security reviews, DPAs, and regulatory scrutiny - Deep technical proficiency with API integrations, production LLM use cases, and AI-powered system architecture - Hands-on experience with prompt engineering and LLM evaluation, plus working knowledge of how large language models are built and operate - A strong grasp of developer tooling, SDKs, and the integration patterns common in modern software companies - Enjoyment of building foundational teams in unstructured, fast-moving environments - Strong executive presence and the ability to build deep trust with CTOs, engineering leaders, and technical founders - Excellent communication, collaboration, and coaching skills - The ability to make ambiguous problems clear and find principles that carry across scenarios - A passion for making powerful technology safe and beneficial, with a habit of thinking beyond past checklists and playbooks The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £190,000 - £230,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff AI Product Engineer, FW/SW
PsiQuantum's mission is to build the first useful quantum computers: machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry, including partners like GlobalFoundries, we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don't feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. That approach has since been tested at the highest level of scrutiny the U.S. government applies to emerging technology, and it has held up. In 2025, PsiQuantum closed a $1 billion funding round that valued the company at $7 billion. In 2026, the U.S. Department of Commerce signed a $100 million Letter of Intent under the CHIPS and Science Act, followed by a $125 million agreement with DARPA under Stage C of its Quantum Benchmarking Initiative, PsiQuantum's most valuable U.S. government agreement to date. This year, we also broke ground on our utility-scale quantum computer in Brisbane, Australia, and continued building out our Chicago site. Victor Peng, our CEO, and co-founder Jeremy O'Brien, now Executive Chairman, lead a team and board that reflects how seriously the world is taking this build, joined this year by Intel's Lip-Bu Tan and Atomico's Niklas Zennström. PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies, including Airbus, Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical, to prepare quantum solutions for real-world impact. Quantum computing is not an extension of classical computing. It represents a fundamental shift, and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we now have the funding, the government validation, and the sites under construction to make it real. Job Summary: This is a senior individual contributor role operating at the intersection of silicon photonics, embedded systems, electronics, controls, and system software . The engineer will be responsible for translating photonic device and system requirements into robust control algorithms, firmware, APIs, diagnostics, and system-level software. The ideal candidate has previously developed firmware and software for complex embedded hardware systems , understands closed-loop control and real-time system behavior , and is comfortable working directly with hardware during bring-up, characterization, debugging, and productization. Responsibilities: - Architect, develop, and maintain embedded firmware for control and management of silicon photonics products. - Develop firmware that interfaces with photonic devices, ASICs/FPGAs, DACs, ADCs, temperature sensors, power-management devices, and other board-level electronics. - Implement closed-loop control algorithms for parameters such as optical operating points, temperature, power, bias, alignment, switching state, and other device-specific control variables. - Understand system dynamics, stability, convergence, calibration, tolerances, noise, drift, and failure modes when designing control loops. - Develop real-time and event-driven firmware for complex embedded systems. - Develop device initialization, calibration, configuration, monitoring, fault management, and recovery mechanisms. - Define and implement state machines governing system startup, operation, fault handling, recovery, and shutdown. - Work with system architects to define the overall software and firmware control architecture of the product. - Support remote firmware/software update mechanisms, configuration management, versioning, and system recovery. - Design firmware and software with reliability, testability, manufacturability, and field serviceability in mind. - Develop automated calibration and test capabilities that can transition from engineering environments into manufacturing. - Define manufacturing configuration, calibration data, device parameters, and nonvolatile storage requirements. - Support production test, system qualification, reliability testing, and failure analysis.Develop diagnostic capabilities that allow manufacturing and field teams to quickly isolate failures. Experience/Qualifications: - BS or MS in Electrical Engineering, Computer Engineering, Computer Science, Controls Engineering, Physics , or a related technical discipline. - Significant professional experience developing firmware and software for complex embedded systems . - Strong programming experience in C/C++ for embedded systems. - Experience with Python or similar languages for automation, system test, data analysis, and hardware control. - Strong understanding of embedded processors, microcontrollers, memory architectures, interrupts, timing, concurrency, and hardware interfaces. - Experience with RTOS and/or embedded Linux environments. - Demonstrated experience developing software that directly controls physical hardware. - Strong understanding of feedback and closed-loop control systems . - Experience implementing calibration, compensation, monitoring, and control algorithms. - Experience with embedded communication protocols such as SPI, I²C, UART, GPIO, Ethernet, or similar interfaces. - Strong system-level debugging skills across hardware and software boundaries. - Experience developing software for hardware bring-up, characterization, and automated test. - Ability to read schematics, understand hardware architecture, and collaborate effectively with electrical and hardware engineers. - Ability to take loosely defined system requirements and develop a robust firmware/software architecture and implementation. PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com . We are not accepting unsolicited resumes from employment agencies. Base pay is one part of the total compensation package. Full-time roles are eligible for equity and benefits. Our compensation ranges reflect the cost of labor across multiple U.S. geographic markets, and we pay based on defined geographic zones. This position may be filled within one of the following U.S. geographic zones, each with its own salary range. Actual compensation may vary outside of these ranges and is dependent on various factors including, but not limited to, a candidate's qualifications, relevant education and training, competencies, experience, geographic location, business needs, and internal equity. Your recruiter can share more details about the salary range applicable to your location during the hiring process. - Zone 1 - Bay Area and NYC - Zone 2 - Examples include Los Angeles and Washington DC - Zone 3 - Examples include Austin, Chicago, and Sacramento - Zone 4 - Examples include Nashville and Phoenix/Tempe and many remote locations This position includes the following benefits: competitive health coverage for you and your dependents, 401(k) with company match, equity grants, access to financial wellness tools and planning resources, wellness benefits, family support programs, life and disability insurance, paid leave programs, company-designated paid holidays, discretionary time off (DTO), and an end-of-year company shutdown. Some of these benefits have eligibility requirements and may vary based on location, role, or employment status. Many of these benefits are subsidized or fully paid for by the company. The e s timated annual base salary range for this role is: Zone 1 $208,300 - $244,700 USD Zone 2 $187,400 - $220,200 USD Zone 3 $166,000 - $195,800 USD Zone 4 $145,800 - $171,300 USD
Senior Data Scientist, Product
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line. What you'll be doing: - Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making. - Build, tune, or measure the performance of online and offline ML models and AI systems used across Coinbase. - Act as owner for a broad scope of data and metrics, from definitions and core logging to presentation of data visualizations. - Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. - Maintain a high bar for statistical rigor on your team. Design, execute, and uplevel experimentation and causal analyses that build confidence with your stakeholders. What we look for in you: - A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience - Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. - Ability to influence external stakeholders by synthesizing data learnings into compelling stories. - Practical expertise in applying complex modeling frameworks to practical business problems. - Professional experience using SQL and Python. - Experience working with digital products in an iterative development cycle. - Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready analytical outputs and models. Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $180,370 - $212,200 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Executive Assistant - Japan
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 We're hiring an Executive Assistant to support our Japan President. This is a high-impact role focused on enabling clarity, efficiency, and execution across a fast-moving go-to market organization. The ideal candidate is highly organized, an excellent business writer, and confident enough to actively manage competing priorities across complex calendars and workflows. What you'll do: Calendar & Meeting Management - Own complex scheduling across multiple senior leaders and stakeholders - Prioritize ruthlessly to ensure time aligns with business impact - Push back when needed to protect focus and optimize leadership bandwidth Travel & Expenses - Coordinate domestic and international travel logistics - Manage expenses through Ramp with accuracy and timeliness Business Writing - Draft, edit, and refine internal communications, presentations, and leadership updates - Help leaders articulate strategy, summarize meetings, and drive follow-ups - Bring structure and clarity to ambiguous inputs and fast-moving discussions GTM Operating Rhythm Support - Help keep key meetings, planning cycles, and cross-functional touchpoints on track - Partner closely with Recruiting to ensure interview days run smoothly and efficiently - Support offsite planning for the GTM teams, including venue sourcing, hotel contract negotiations, and travel coordination - Oversee event catering and restaurant reservations, managing budgets and vendor relationships to deliver seamless team-building experiences You could be a fit if: Core Experience - 6+ years of experience in an Executive Assistant or similar role - Experience supporting senior leaders in a fast-paced, tech-forward environment Skills & Traits - Exceptional business writing skills - Strong judgment and prioritization: knows what matters and acts accordingly - Assertive and confident; willing to push back to improve outcomes - Highly organized with strong attention to detail - Fluency in both Japanese and English languages Working Style - Slack-native and comfortable operating in fast, async environments - AI-forward: uses modern tools (e.g., ChatGPT, Notion AI) to move faster and produce higher-quality work - Growth mindset with a willingness to continuously improve systems and processes Nice to Have - Experience supporting go-to-market (Sales, CS, RevOps, or Field Engineering) teams
Executive Assistant - India & Middle East
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role ElevenLabs moves fast - and behind every high-performing leader is someone who makes sure nothing slips. This is a high-trust, hands-on role for someone who thrives in dynamic environments, holds themselves to a high standard, and takes genuine pride in making their lead's life easier - down to the small, considered details that others overlook. You'll be the operational backbone for senior leadership - managing calendars, coordinating across time zones, handling logistics, and owning the day-to-day administrative tasks that let leadership focus on what matters most. In this role, you will: - Manage complex, fast-moving calendars and provide scheduling and coordination support across multiple time zones and geographies - Handle sensitive and confidential matters with discretion, acting as a trusted partner in both professional and operational contexts - Coordinate seamlessly with internal stakeholders across teams, as well as external partners and senior leaders - Work closely with other EAs across the organisation to align schedules, share context, and keep cross-functional coordination running smoothly - Anticipate needs before they arise: managing follow-ups, flagging conflicts, and keeping the right people aligned - Build structure, processes, and systems that scale with a fast-growing AI company - Identify opportunities to automate and streamline repetitive work, using AI tools and productivity tooling to improve quality and speed Requirements - Proven experience supporting senior leaders and their broader teams in a fast-moving environment, including coordinating with other EAs across the organisation - Strong organisational skills with the ability to manage competing priorities, shifting timelines, and multiple stakeholders - Exceptional written and verbal communication skills, with the ability to communicate effectively with a wide range of stakeholders, from senior executives and partners to vendors and office guests - High emotional intelligence and discretion - trusted with sensitive information - Comfortable supporting not just an individual but a wider team at times - able to flex between high-priority senior leadership support and broader operational needs as the situation demands - Personable and easy to work with - someone who builds genuine relationships across the organisation and is trusted by the people around them - A natural reflex to reach for tooling and automation; fluency with AI tools such as Claude or ChatGPT and quick to adopt new systems - High personal standards - the kind of person who cares about the quality of their output and holds the bar - A valid passport and willingness to travel globally ~40% of the time Location India or Dubai 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.
Executive Assistant - APAC
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role ElevenLabs moves fast - and behind every high-performing leader is someone who makes sure nothing slips. This is a high-trust, hands-on role for someone who thrives in dynamic environments, holds themselves to a high standard, and takes genuine pride in making their lead's life easier - down to the small, considered details that others overlook. You'll be the operational backbone for senior leadership - managing calendars, coordinating across time zones, handling logistics, and owning the day-to-day administrative tasks that let leadership focus on what matters most. In this role, you will: - Manage complex, fast-moving calendars and provide scheduling and coordination support across multiple time zones and geographies - Handle sensitive and confidential matters with discretion, acting as a trusted partner in both professional and operational contexts - Coordinate seamlessly with internal stakeholders across teams, as well as external partners and senior leaders - Work closely with other EAs across the organisation to align schedules, share context, and keep cross-functional coordination running smoothly - Anticipate needs before they arise: managing follow-ups, flagging conflicts, and keeping the right people aligned - Build structure, processes, and systems that scale with a fast-growing AI company - Identify opportunities to automate and streamline repetitive work, using AI tools and productivity tooling to improve quality and speed Requirements - Proven experience supporting senior leaders and their broader teams in a fast-moving environment, including coordinating with other EAs across the organisation - Strong organisational skills with the ability to manage competing priorities, shifting timelines, and multiple stakeholders - Exceptional written and verbal communication skills, with the ability to communicate effectively with a wide range of stakeholders, from senior executives and partners to vendors and office guests - High emotional intelligence and discretion - trusted with sensitive information - Comfortable supporting not just an individual but a wider team at times - able to flex between high-priority senior leadership support and broader operational needs as the situation demands - Personable and easy to work with - someone who builds genuine relationships across the organisation and is trusted by the people around them - A natural reflex to reach for tooling and automation; fluency with AI tools such as Claude or ChatGPT and quick to adopt new systems - High personal standards - the kind of person who cares about the quality of their output and holds the bar - A valid passport and willingness to travel globally ~40% of the time - Language requirement: Fluent in English (written and spoken). Proficiency in Mandarin, Korean, or Japanese is a plus. Location This role is based in Singapore or Sydney. 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.
Developer Advocate
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re hiring a Developer Advocate. In this role, you’ll play a core part in improving our developer experience, particularly our documentation and example projects. You’ll dive deep into where users are getting stuck and ship what they need to succeed. You’ll also help drive acquisition of our technical, self-serve customers by creating and presenting engaging content online and in-person, especially at developer meetups and conferences across the globe. This role is perfect for someone who can create compelling technical content and is energized by connecting with developers face-to-face. Requirements - You love attending, organizing, and speaking at developer events. - You're able to tailor messaging for different audiences and build strong networks with developers, startup accelerators, and VCs alike. - A strong full-stack engineering skillset with extensive experience working with AI tools. - The ability to come up with great ideas for tutorials, build working demos, and create high-quality blog posts, videos and talks. - A passion for writing engaging technical content. - A product-minded approach to content: you understand metrics, speak to users, decide what to build/write based on needs, and double down on what works. Location This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, 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.
Adoption Strategist - LATAM
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role This is a brand new Adoption Strategist role sitting at the intersection of adoption, enablement, scaled programs, and product expertise so we expect the scope to evolve and want someone excited to build as it does. You'll design and run the programs - onboarding tracks, lifecycle campaigns, workshops, adoption playbooks - that drive corporate and mid-market customers to activate their core use case and expand into new ones. Everything you build has to scale across a high-volume book, not be custom to one account. You'll need deep product fluency - enough to be the most credible voice in the room on how to use the product well - without ever owning an account or its technical implementation directly. This is a builder role for someone extremely analytical, comfortable running live enablement at scale, and already advanced with AI tools to automate the systems behind it. Since this is a new role, we expect the scope to evolve over time - being adaptable and excited to build is a core part of being successful here. Focus areas include, but aren't limited to: - Drive strong adoption by building and delivering scalable enablement and activation programs that educate customers on best practices, and get them to time-to-value quickly on their core use case - Develop deep product expertise across the entire ElevenLabs platform, with a focus on ElevenAgents and ElevenCreative - you're a product expert on our existing product and you're constantly the first to learn new products coming to market - Proactively audit customer agents prompts, configurations, and feature setup to identify gaps, and share recommendations as a value-add service that drives deeper adoption - Track and drive key leading and lagging adoption metrics, partnering with Revenue Operations to iterate on our reporting capabilities, and use those trends to develop data-driven adoption strategies and playbooks across the customer base in region - Partner with Account Management and CX to deliver targeted adoption and enablement campaigns, including regional live workshops and webinars, based on opportunities or new product releases - Engage with external implementation partner and internal teams to help unify adoption strategy across the customer journey (e.g., Solutions Engineering, GTM, Customer Experience, Product Marketing and Engineering) - Partner with leadership on high-impact initiatives that support the local GTM team and global results Requirements - 6+ years in adoption, customer/partner enablement, digital CS programs, enterprise growth or similar role- at an AI-native or highly technical company with a large, low-touch book - Experience with voice AI, TTS, conversational AI, or developer-facing products - A track record of building adoption focused programs from the ground up: onboarding tracks, scaled adoption playbooks, self-serve content, and more - You think in systems but are creative: you're always asking "how do we scale or automate this," and building automations and workflows with AI tools is ingrained in how you work - Extremely analytical: you identify trends easily and use them to close gaps, surface opportunities or standardize best practices. You also identify data points that aren't yet tracked but would uncover new insights and change strategy - Comfortable driving cross-functional outcomes without direct authority, working effectively with Account Management, FDE, RevOps, and GTM to move adoption forward - Experience managing a high-volume book of business at scale, mid-market or commercial segment - Language Requirements - Must be fluent in Spanish/Portuguese and English Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Growth Roles - Regional Adoption Lead - Other teams: Account Management, Digital CX or Deployment Strategist Location This role can be based in Argentina or Brazil 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 - Sports Specialist
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About The Role ElevenLabs is looking for our first Sports Specialist to lead the commercial adoption of our AI audio products across the sports industry. This highly strategic, customer-facing role sits at the intersection of product, sales, and sports. We’re looking for someone who combines deep expertise in the sports ecosystem with a strong enterprise sales background. You will become the go-to expert for sports use cases, partnering closely with Account Executives to help customers understand how AI can transform content creation, localization, fan engagement, accessibility, and live and on-demand experiences. This is not a quota-carrying role. Instead, your success will be measured by driving product adoption, enabling the sales organization, influencing product direction through customer feedback, and helping close strategic opportunities where sports expertise is essential. In This Role You Will - Serve as the subject matter expert for ElevenLabs’ sports use cases, supporting enterprise sales opportunities from discovery through deployment. - Partner closely with Account Executives throughout the sales cycle, providing product expertise, customer education, and strategic guidance. - Drive adoption across professional sports leagues, teams, federations, broadcasters, streaming platforms, rights holders, agencies, sports technology companies, and other organizations across the sports ecosystem. - Help customers apply AI audio to use cases such as multilingual content, commentary, fan engagement, content production, personalization, and accessibility. - Build relationships with key stakeholders across sports, including commercial, media, digital, content, innovation, and technology leaders. - Deliver compelling product demonstrations and workshops that showcase the capabilities and business value of ElevenLabs’ products. - Collaborate with Engineering, Growth, Legal to bring customer insights into product development and go-to-market strategy. - Develop scalable enablement materials, best practices, and sales playbooks to help the broader commercial organization successfully position ElevenLabs within sports. - Stay ahead of emerging trends in AI, sports technology, media, broadcasting, and fan engagement to help shape ElevenLabs’ long-term strategy. Requirements - 7+ years of enterprise technology sales experience. - Proven experience selling into or working with sports leagues, teams, broadcasters, streaming platforms, rights holders, agencies, or sports technology companies. - Deep understanding of the sports ecosystem, including content and production workflows, media rights, fan engagement, partnerships, and digital distribution. - Ability to translate complex technical capabilities into compelling customer value propositions. - Strong executive communication skills, with experience presenting to both business and technical stakeholders. - A track record of navigating complex organizations and building alignment across multiple decision makers. - Highly collaborative, with a passion for partnering across Sales, Engineering, Growth, and Legal. - Comfortable operating in a fast paced startup environment where you will help define the role as the business grows. 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 Sales - Public Sector
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! Role Overview As our VP of Sales - Public Sector, you will spearhead year-over-year revenue growth by developing and executing on enterprise level PUBSEC customer acquisition strategies across the region. You will drive long-term success through strategic development, coaching, and expanding Cohere’s presence in the public sector. In this pivotal leadership role, you will cultivate and guide our sales team to exceed revenue targets and organizational goals, while fostering a culture of excellence and innovation. Candidates must be based in North America to be considered for this career opportunity. Key Responsibilities As our VP of Public Sector Sales you will: - Develop, execute, and lead a comprehensive go-to-market growth strategy and sales plan for the Public Sector, driving revenue growth and market expansion working with other regional sales teams. - Provide sales and operational leadership to Cohere’s PUBSEC sales team, ensuring alignment with company objectives and priorities. - Partner with Marketing, Product, and Engineering teams to synchronize sales efforts with broader company goals. - Represent Cohere at PUBSEC industry events, conferences, and networking opportunities, as well as with regulators and government agencies, in collaboration with other regional and global leaders in Cohere. - Manage and nurture relationships with government decision-makers and partners to ensure Cohere’s success in the region. Identify and pursue new business opportunities, negotiating and closing high-value deals. - Collaborate with global teams to strengthen anchor relationships and establish best practices for enterprise-level project implementations, ensuring strong client engagement throughout project lifecycles. Qualifications This career opportunity may be a good match for you if you: - Have 10+ years of PUBSEC sales and leadership experience leading go-to-market efforts and driving revenue growth for fast paced technology organizations. - Have an established network, including federal agencies, prime contractors, and industry associations. - Possess a proven track record of leading capture and sales efforts for consultative solution sales and business development efforts, with a deep understanding of regional procurement and budget cycles, customer success, and resource allocation. - Have exceptional communication and leadership skills, with the ability to build cross-functional relationships and influence at all levels. - Are comfortable operating in a matrix environment, coordinating efforts across cross-functional teams and regions without the need for a large direct organization. - Are a self-starter with an entrepreneurial mindset, capable of working independently, rolling up sleeves, and driving impact as a ‘builder.’ - Experience in AI or a related industry is highly desirable. - Must be based in North America with willingness to travel (25-40%). Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. 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.
IT Lead
About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About the Role: We’re looking for our first IT Lead to build and own the systems that enable everyone at Modal to work effectively and securely. You’ll own our employee technology environment end-to-end, including identity and access, devices, internal systems, SaaS applications, and day-to-day IT operations. You’ll work closely with Security and Engineering to build an environment that is secure by default, easy to operate, and scales with the company. This is initially a hands-on role. You’ll build systems, automate workflows, and solve problems directly. As Modal grows, you’ll define how the IT function should scale and eventually build a team around it. What You’ll Work On: Identity & Access - Own employee identity and access across internal systems and SaaS applications - Build scalable onboarding, offboarding, and access lifecycle workflows - Improve SSO, MFA, least privilege, and access management in partnership with Security Devices & Endpoints - Own the lifecycle and security of employee devices - Build and maintain device management, configuration, patching, and endpoint security - Automate provisioning and make onboarding as close to zero-touch as possible Internal Systems & Automation - Own and improve the SaaS applications and internal systems we depend on - Build integrations and automate workflows across identity, HR, finance, and other business systems - Evaluate and deploy new internal capabilities, including AI tools and integrations - Use APIs, scripting, and internal tooling to solve problems that don’t fit neatly into off-the-shelf products IT Operations - Own employee support, hardware, asset management, procurement, and relevant vendor relationships - Build reliable, maintainable processes rather than scaling through manual work - Identify recurring problems and solve them at the system level Build the IT Function - Define the technical direction and operating model for IT at Modal - Establish the systems and processes we’ll need as the company grows - Determine when and where additional IT capacity is needed, and build the team over time What We’re Looking For: - Experience owning IT or corporate technology in a fast-growing technology company - Strong understanding of identity, device management, SaaS administration, and endpoint security - Strong technical skills and comfort working with APIs, scripting, automation, and system integrations - Experience designing and automating employee lifecycle and access-management workflows - Good security judgment and experience working closely with Security and Engineering - Ability to independently identify problems, make pragmatic technical decisions, and drive them through implementation - Comfortable being hands-on today while building the systems and team needed as the company grows
Account Executive, Enterprise - Toronto
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary As an Enterprise AE in our Canadian market, you will play a crucial role in driving Mistral’s adoption among large enterprise customers, with a particular focus on financial institutions and large enterprises across various industries. Based in Toronto, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral as a leading AI solutions provider in Canada. What You Will Do Lead Development (Strategic Outbound and Qualified Inbound): • Conduct strategic outreach and manage warm introductions to potential enterprise customers. • Convert inbound leads where there are opportunities for upselling or more bespoke agreements. Value Proposition Validation for Customers: • Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process. • Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts. Deal Management & Closing: • Develop and execute strategic sales plans to convert leads into valued customers. • Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams. • Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams. Executive Engagement: • Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations. • Understand their specific challenges and position Mistral's solutions as integral to their strategic initiatives. Technical Aptitude: • Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients. • Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases. • Collaborate with our technical team to address any customer inquiries or concerns. Training and Enablement: • Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities. What We're Looking For - 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product. - Deep understanding of the Canadian market dynamics and enterprise landscape, with strong knowledge of the financial services sector (banking, insurance, asset management). - Experience selling into financial institutions and other large regulated enterprises. - Experience of consultative selling of highly complex, technical products. - Bachelor's and/or Master's degree in Business, Computer Science, or a related field. - Significant work experience within the AI ecosystem or related data/infrastructure field. - Experience working at a successful, fast-growing startup, ideally in deep-tech. - Strong technical skills to navigate quickly evolving products and steer technical discussions. - Outstanding negotiation and communication skills to build relationships and close deals effectively. 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 - Montreal
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary As an Enterprise AE in our Canadian market, you will play a crucial role in driving Mistral’s adoption among large enterprise customers, with a particular focus on financial institutions and large enterprises across various industries. Based in Montreal, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral as a leading AI solutions provider in Canada. As this role covers Quebec, fluency in French is required to engage effectively with customers, partners, and stakeholders in the Quebec market. What You Will Do Lead Development (Strategic Outbound and Qualified Inbound): • Conduct strategic outreach and manage warm introductions to potential enterprise customers. • Convert inbound leads where there are opportunities for upselling or more bespoke agreements. Value Proposition Validation for Customers: • Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process. • Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts. Deal Management & Closing: • Develop and execute strategic sales plans to convert leads into valued customers. • Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams. • Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams. Executive Engagement: • Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations. • Understand their specific challenges and position Mistral's solutions as integral to their strategic initiatives. Technical Aptitude: • Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients. • Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases. • Collaborate with our technical team to address any customer inquiries or concerns. Training and Enablement: • Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities. What We're Looking For - 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product. - Deep understanding of the Canadian market dynamics and enterprise landscape, including the Quebec business environment, with strong knowledge of the financial services sector. - Experience selling into financial institutions and other large regulated enterprises. - Experience of consultative selling of highly complex, technical products. - Bachelor's and/or Master's degree in Business, Computer Science, or a related field. - Significant work experience within the AI ecosystem or related data/infrastructure field. - Experience working at a successful, fast-growing startup, ideally in deep-tech. - Strong technical skills to navigate quickly evolving products and steer technical discussions. - Fluency in both French and English (written and verbal) is required for this role. - Outstanding negotiation and communication skills to build relationships and close deals effectively. 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 .
Revenue Accountant
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role ElevenLabs operates a complex and fast-evolving revenue model – enterprise contracts, self-serve API subscriptions, usage-based billing, and expanding international markets. As a Revenue Accountant, you will play a key role in ElevenLabs’ revenue accounting function. You will own significant portions of the monthly revenue close, support the application of ASC 606 to customer arrangements, and help build scalable processes and controls as ElevenLabs grows toward IPO readiness. You will work cross-functionally with Sales, Legal, Billing Operations, Engineering, and FP&A to support contract review, usage and billing completeness, new product launches, and accurate and timely revenue recognition. This is a hands-on, high-ownership role in a lean Finance team – the right person will independently run recurring workstreams, identify issues early, and help scale the revenue accounting operating model as the business grows. What you’ll do - Execute significant portions of the monthly revenue close, including journal entries, deferred and unbilled revenue schedules, reconciliations, and flux analysis - Perform recurring usage / consumption completeness and billing-to-GL reconciliations; investigate exceptions and drive resolution with cross-functional partners - Review customer contracts and apply established ASC 606 guidance to standard arrangements; escalate novel, high-judgment, or precedent-setting matters - Support accounting for credits, refunds, contract modifications, cutoff, and variable consideration, with clear and audit-ready documentation - Prepare revenue workpapers, audit support, and control evidence; support external audit, walkthroughs, and SOX readiness activities - Support accounting readiness and UAT for new products, pricing structures, billing models, and partner / channel launches - Improve and automate recurring revenue processes, reconciliations, documentation, and exception reporting as the business scales Requirements - Deep expertise in ASC 606, including multi-element arrangements, SSP evaluation, variable consideration, contract modifications, and principal vs. agent analysis - Experience leading the revenue close: deferred revenue management, unbilled receivables, journal entry review, and month-end flux analysis - Track record of partnering with Sales and Legal on contract review and revenue impact assessments - Experience operating in a pre-IPO or public company environment, with direct exposure to external audit, controls build-out, and revenue accounting documentation - CPA, ACA, or ACCA qualification (active); Big 4 or public accounting background a strong plus - Strong systems proficiency; Stripe, Metronome, HubiFi or a comparable revenue recognition tool preferred Bonus : - Experience with consumption/usage-based and subscription billing models - Familiarity with ASC 326 (CECL) and AR accounting in a high-volume SaaS context - Multi-entity or international revenue accounting background Location This role is remote-first, so it can be executed from anywhere in Central Europe or Eastern US timezones. If you prefer, you can work from our offices in London, New York 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.
Strategy & Operations, Program Manager
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Strategy & Operations team is responsible for driving cross-company readiness and response for critical moments and partners across the organization to manage both org and company-critical programs. Candidates should have a high level of maturity, strong executive presence, and strong judgment in complex high-profile situations. About the Role We are seeking a strong candidate with a proven ability to work with xfn teams and to manage internal alignment for critical priorities, including major product launches, external events that could impact our users and products and cross-cutting initiatives that require strategic support. This role will work closely with functional teams, with a particular focus on those working on product and trust & safety issues. You will: - Program manage special projects across Strategy and company-wide initiatives, requiring strong planning, cross-functional coordination, and familiarity with xfn teams — with a focus on safety. - Absorb a significant amount of information from a variety of inputs to frame decisions and communicate clear updates, recommendations, and trade-offs for product focused audience and executive audience. - Drive processes across various teams to ensure a unified, efficient response during critical periods. - Actively collaborate with cross-functional teams to ensure effective prioritization and response to fast-moving issues - Identify and prioritize emerging risks and escalations, support sensitive investigations, product mitigations and red-teaming. We're looking for a blend of: - 5–10 years proven experience working with Product/ technical teams, Program Management, Crisis Management, Escalations Management, Consulting or a similar role - Demonstrated ability to work on and understand technically complex projects and program manage workflows. - Experience working on projects and initiatives with a focus on integrity, operations and trust & safety. - Demonstrated ability to clearly communicate challenges, recommendations and trade-offs under pressure. - Outstanding organizational and written communication skills, including drafting executive level briefs or reports. - A proven track record of effectively prioritizing and managing workloads, demonstrating a strong commitment to delivering high-quality results. - Can collaborate with teams to create systems/tools to facilitate internal processes and rapid response to critical events. 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.
IP & Licensing - Intern
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the Role Join Mistral AI’s Strategic Licensing Partnerships team and help shape the future of sovereign frontier AI. Working at the intersection of corporate law, venture finance, and frontier research, you will support strategic initiatives that transform high-value real-world financial, corporate, and specialized data assets into frontier AI capabilities. In the Strategic Licensing Partnerships Intern role, you will drive data sourcing initiatives and engage key stakeholders across financial services, venture capital, private equity, and institutional networks. You will merge strategic deal execution with practical technical work—leveraging state-of-the-art LLM tools and AI agents to demonstrate how specialized financial data drives next-generation AI solutions. You will collaborate closely with cross-functional teams across IP & Licensing, Applied AI, Engineering, and Research to align content sourcing with Mistral AI’s strategic roadmap. This role is ideal for a high-potential, hybrid legal/business profile who combines strong financial and legal acumen with deep AI curiosity, hands-on tech fluency, and an adaptable mindset to thrive in a fast-paced frontier research environment. What You Will Do - FSI/ PE / VC ecosystem research & outreach: conduct deep-dive research across private equity/venture capital and financial services industry providers to identify data partnership opportunities. - Coordinate with Applied AI and Research teams to test current LLM tools, help configure custom AI agents, and adapt interactive product demos for financial partners (no software engineering degree required) - Privacy & data partner operations: oversee specialized external privacy vendors, managing deliverables, compliance quality, and data quality standards. - Program tracking & cross-functional alignment: establish tracking metrics, monitor pipeline velocity, and communicate progress and risk mitigation plans across Engineering, Research, Product, Legal, and Leadership. What We’re Looking For: - Background: final-year Master 2 / Grande École student in Corporate Law, Business/Finance, Private Equity, or Tech Governance (hybrid legal/business profile strongly preferred). - Tech fluency: strong AI curiosity and hands-on tech fluency (comfortable configuring AI agents, building prompt workflows, adapting demos). Software engineering degree not required. - Interests: passion for VC, PE, financial services innovation, and corporate restructuring. - Fluent French (required) and professional English - Location & work authorization: this internship is available only in France. Please apply only if you have the required work authorization to complete the internship for its full duration. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Senior/Staff Software Engineer (Back-End), Inferen...
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? This role is for a highly experienced Back-End Software Engineer who wants to work on core systems that shape how the platform (Model Vault) operates. You will help define the architecture of the platform where reliability, security, performance, and simplicity all matter, and where many of the problems do not have off-the-shelf solutions. Model Vault is Cohere’s inference platform for deploying and operating models securely at enterprise scale. The team owns the systems between a customer and the underlying AI infrastructure, including identity, deployments, metering, billing, security, privacy, and confidential computing. We are strengthening these systems as Model Vault grows, with the goal of scaling to millions of users and supporting some of the world’s most demanding enterprise workloads. As a Senior/Staff Software Engineer, you will: - Evolve and scale the backend systems that power Model Vault, including authentication and authorization, deployment management, billing, metering, and customer lifecycle. - Lead major architectural initiatives across identity, payments, usage systems, platform scalability, and other core product foundations. - Build highly reliable control-plane services for provisioning, configuring, scaling, and operating model deployments across clouds and hardware platforms. - Design APIs and distributed systems with strong guarantees around correctness, consistency, isolation, failure recovery, idempotency, and observability. - Build security and privacy into the platform architecture, including tenant isolation, least-privilege access, auditability, secrets management, encryption, and confidential computing boundaries. - Solve complex problems that span backend systems, cloud infrastructure, security, and AI inference, where conventional SaaS patterns are often not enough. - Drive projects end-to-end, from architecture and threat modeling through implementation, rollout, production operations, and iteration based on real customer workloads. You may be a good fit if: - You are a strong backend engineer with excellent fundamentals in distributed systems, databases, networking, operating systems, and security. - You have strong programming fundamentals and experience building production systems in languages such as Go, Python, Java, C++, Rust, or similar. You write clean, maintainable, well-tested code and make thoughtful tradeoffs between simplicity, performance, and correctness. - You have designed and operated production systems where correctness, availability, security, and performance mattered at significant scale. - You can take ambiguous, high-impact technical problems, define the right architecture, and drive them through to reliable production systems. - You have strong systems-design instincts and understand concepts such as concurrency, consistency, caching, queues, rate limiting, backpressure, failure domains, idempotency, and graceful degradation. - You think deeply about security boundaries and understand authentication, authorization, identity, cryptography, secrets, tenant isolation, and how small implementation choices can create significant security risks. - You are comfortable reasoning across backend services, APIs, databases, distributed systems, and the cloud infrastructure they run on. - You are comfortable diving into unfamiliar codebases and debugging complex problems that cross service or system boundaries. - You care about the details of production engineering, including instrumentation, capacity planning, migrations, backwards compatibility, incident response, and safe rollouts. - You are comfortable challenging existing architecture and evolving foundational components when the system’s needs change. - You have a track record of taking technically difficult projects from an unclear starting point to systems that other engineers and customers depend on. 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.
Workforce Development & Education Manager, Infrast...
About the Role At OpenAI, we are proud to build and operate our data centers with a community-first led approach. From construction to operations, we want to be positive partners within our data center communities that we are honored to call home…and we are just getting started. OpenAI is seeking a Workforce Development & Education Manager to help build local talent for data center construction, commissioning, and operations in communities hosting OpenAI infrastructure projects. You will work with infrastructure teams and project partners, education providers, and local Community Engagement Leads to understand workforce needs and help education and training providers prepare people for these jobs of the future. You will build partnerships with local community colleges, technical schools, universities, and union apprenticeship programs from the ground up. Working with educators and technical experts, you will develop and expand training programs that connect local residents with career opportunities and meet the local industry hiring needs. Key Responsibilities - Work in partnership with the local Community Engagement Lead to build and manage relationships with community colleges, technical schools, universities, career and technical education programs, and local workforce boards. - Work with building trades unions and joint apprenticeship and training committees to expand training opportunities aligned with project needs both on a local and national level. - Partner with OpenAI’s infrastructure teams, developers, contractors, and operators to identify job requirements, skills gaps, and hiring timelines across construction, commissioning, and operations. - Work with educators and technical experts to develop or adapt curricula, hands-on training, and credential programs that reflect employer requirements and offerings available through OpenAI’s literacy programs. - Support apprenticeships, internships, and other work-based learning opportunities with participating employers. - Manage program implementation, including timelines, partner responsibilities, and progress against agreed goals. - Track participation, completion, credential attainment, job placement, and retention, working with partners to use the results to improve programs. - Partner with the local Community Engagement Lead to identify workforce grants and other funding opportunities, and help education and training partners pursue relevant support. - Represent OpenAI on local workforce advisory councils and in meetings with education, labor, and community partners, in partnership with the Community Engagement Lead. - Manage the program operations and administrative tasks needed to run a successful workforce development program within our data center communities. Qualifications - Seven or more years of experience in workforce development, technical education, apprenticeship programs, or education–industry partnerships. - Bachelor’s degree in education, instructional design, workforce development, engineering technology, or a related field, or equivalent professional experience. - Experience developing and delivering technical training programs with employers and education providers. - Experience working with trade unions, apprenticeship programs, and labor leaders. - Ability to work with technical experts to translate job requirements into clear learning objectives and practical training. - Experience managing programs with multiple partners, competing priorities, and defined deadlines. - Strong written and verbal communication skills, including experience working with educators, public officials, labor representatives, and technical leaders. - Experience evaluating program outcomes and using findings to improve delivery. - Experience in operating with ambiguity and building successful programs from the ground up, with responsible scalability in mind. Preferred Skills - Experience in data centers, telecommunications, semiconductor manufacturing, energy, or other industries with substantial technical workforce needs. - Familiarity with training and credentials relevant to data center careers, such as OSHA 30-hour and NFPA 70E safety training, Schneider Electric DCCA, BICSI cabling credentials, CompTIA certifications, and EPA Section 608 certification for refrigerant work. - Experience with workforce funding sources, including Workforce Innovation and Opportunity Act programs, apprenticeship grants, and state workforce or community college grants. - Experience helping local residents enter skilled trades and technical careers through community-based education and training partnerships. 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.
Launch Producer
About the Team OpenAI's Marketing team helps people understand complex technology, research, and product advances through creative work. Our launch work brings researchers, product teams, product marketers, communications partners, and creatives together to introduce new capabilities to the world. We produce visual identities, films, demos, web content, and social assets that make the work clear and compelling while staying faithful to what the technology can do. Sitting with the Marketing org, the Launch Team works in close partnership with Research and Product Marketing. We build a shared understanding of the technology and the launch story, then bring creative teams together to turn that work into clear, coordinated launches. About the Role We're looking for a Producer to lead creative delivery for Research-led launches, from the initial brief through production and release. You'll work closely with Research to understand the capabilities, limitations, and context behind each launch, then help creative teams turn that understanding into strong work. You'll own the production plan and day-to-day delivery across internal teams and external partners. That means shaping actionable briefs, securing the right inputs and resources, making reviews productive, and adapting as research and launch plans evolve. You'll bring calm judgment, technical curiosity, and respect for creative craft to fast-moving work where accuracy matters as much as timing. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. Occasional travel will be required. In this role, you will: - Build close working relationships with Researchers and various technical product partners. - Partner with Research, Product, Product Marketing, Communications, and Creative leads to turn launch priorities into clear briefs, deliverables, production scopes, and approval plans. - Own work from creative development through final handoff. Set milestones and owners, track dependencies, and surface changes in research readiness, scope, or timing with practical options. - Produce integrated launch assets across design, motion, film, demos, web, and social, including creative assets for research blogs and system cards. Bring specialist teams together around a consistent story. - Manage production resources and external partners, including scopes, estimates, budgets, and vendor deliverables. Work with the appropriate teams on statements of work, purchase orders, and usage rights. - Lead reviews with Research and technical, legal, policy, and creative owners from early input through final approval. Turn feedback into clear actions, resolve conflicts, and document decisions. Ensure changes to model names, claims, demos, and product behavior are reflected across affected assets before release. - Plan versioning and localization with channel and regional partners. Oversee asset QA, specifications, and final handoffs so teams publish the correct, approved versions. - Keep briefs, timelines, decisions, and final assets easy to find. Close out production, capture lessons, and improve repeatable workflows without adding unnecessary process. You might thrive in this role if you: - Have 8+ years of experience producing complex creative work for technology or research-driven launches, with hands-on responsibility from briefing and scoping through production and delivery. - Bring deep technical curiosity and a hands-on drive to understand Research, learn as the technology evolves, and champion OpenAI's mission as a Research lab. You build context quickly and work confidently with researchers and engineers. With a growth mindset, you ask thoughtful questions to grow your understanding and to evolve with the technology. - Are fluent and confident with AI tools and workflows, and use them hands-on in creative production. You exercise sound judgment about quality, accuracy, and when human review is needed. - Understand design, motion, film, and digital production well enough to scope the work, anticipate dependencies, and support the people making it. - Are comfortable managing production partners, budgets, schedules, reviews, and delivery requirements across several concurrent workstreams. - Communicate clearly and build trust across disciplines. You can incorporate feedback, challenge assumptions constructively, and make tradeoffs visible without losing momentum. - Thrive in an extremely fast-paced environment where inputs change and timelines compress. You stay composed and organized, protect essential review and quality checks, and find workable paths forward. - Exercise discretion with unreleased research, launch plans, partner information, and production budgets, and have a genuine interest in AI and creative craft. Nice to Have - Experience working directly with AI researchers or producing model launches, technical demonstrations, or scientific storytelling. - Experience delivering localized creative across markets and coordinating rights, approvals, and asset versioning. 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.
IT Logistics Lead
About the Team Employee Technology & Experience helps people at OpenAI do their most ambitious work. Across Helpdesk, Executive Support, Systems Operations, Logistics and audiovisual services, we make technology simple, reliable and secure. Employee needs guide what we build, improve and eliminate. IT Logistics keeps employees equipped, from day 1 readiness to timely replacements and self-service peripherals. We manage the full equipment lifecycle and improve access to hardware as employee needs evolve. About the Role We’re hiring an IT Logistics Lead to manage the team that keeps OpenAI employees equipped for their most important work. You’ll run daily operations, evaluate new hardware and introduce equipment and services that address unmet needs. You’ll own the hardware and peripheral catalog, fulfillment programs, asset management systems and regional operating models. You’ll deliver on IT’s promise: equipment ready on day 1 globally, choices suited to each employee’s location and work, self-service employees trust, and accurate records of what we own, where it is and who has it. This is a hands-on people management role. You’ll coach team members, manage performance and work alongside them on execution and escalations. With your manager, you’ll set priorities and plan capacity. As customer zero, you’ll use OpenAI products to solve unresolved logistics problems, continually improving accuracy and shortening lead times. In this role, you will: - Own a hardware and peripheral catalog that keeps pace with employee needs, with new equipment options and devices ready for use with current, validated software images and configurations. - Deliver day 1 readiness globally, with equipment suited to each employee’s location and work. Ensure timely fulfillment, refreshes, replacements, loaners, telecom and mobility, and high-risk travel services as offices and programs expand. - Own and scale the employee IT vending machine program and other self-service channels as services employees trust, with the right peripherals available, machines working every time and tightly managed shrinkage. - Own asset accountability across the full lifecycle, with 100% accurate records that reconcile to physical inventory and trusted chain of custody from receipt through recovery, reuse and secure disposition. - Own forecasting, capacity and logistics performance to continually improve accuracy, shorten lead times and keep equipment available. Control lifecycle costs, reduce excess stock and waste, and maintain service through supply disruptions. - Use OpenAI products, including Codex and agents, as customer zero to solve previously unresolved logistics problems and improve accuracy, speed and scale, with appropriate evaluation, security and human oversight. - Manage and develop team members so each person builds skills, takes ownership and delivers excellent work. Build team and delivery partner capability that sustains quality and consistency as demand grows. - Scale service globally with accountable regional partners and repeatable operations that meet local needs while maintaining speed, inventory accuracy and a consistent employee experience. - Keep daily operations reliable as demand changes, with timely escalation resolution, capacity and commitments aligned with your manager, and clear decision ownership across engineering, security, support, workplace, finance and procurement. You might thrive in this role if you have: - Led inventory and fulfillment across multiple sites or regions, owning forecasting, delivery partners, service performance and cost, with sustained improvements in accuracy, reconciliation, shrinkage, availability and lead times. - Delivered automation and AI-enabled workflows used in daily operations, including solutions to previously unresolved problems. You can explain your contribution, measurable results, reliability testing, security controls and human oversight. - Managed people through rising demand and changing priorities, with responsibility for goals, feedback, performance and development. Your coaching helped individuals build skills, take ownership and improve their work. - Launched services that met employee or customer needs, balancing usability, cost, security and control. You align partners, make sound technical and business decisions, communicate candidly and own adoption and results. Workplace & Location This role is based in San Francisco and has a global scope, including regional travel. 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.
Corporate Security Manager - Americas
About the Team OpenAI’s Corporate Security (CorpSec) team protects our people, places, and operations so that employees can safely pursue our mission to ensure that artificial general intelligence benefits all of humanity. The team partners across the company to enable a secure, resilient, and trusted environment that supports both safety and innovation. We operate in dynamic, high-visibility environments, including dense urban offices and major events where discretion, credibility, and sound judgment are essential. The Corporate Security team works closely with Real Estate & Workplace, Legal, Communications, HR, IT, and external partners to maintain a proactive and people-first security posture. About the Role The Security Operations Manager owns day-to-day physical security operations and end-to-end security programs across assigned sites. The role is accountable for vendor performance, staffing and training plans, incident readiness, and recurring operational improvements that protect OpenAI’s people, facilities, and business activities. The ideal candidate combines hands-on operational leadership with independent program ownership, sound judgment, and strong cross-functional partnerships. They anticipate risks, resolve competing operational priorities, build repeatable procedures, and coordinate effective incident responses while escalating material risks and resource decisions through established channels. This role reports to the Senior Security Operations Manager and will include both domestic and international travel in support of Event Security, and other CorpSec ongoing and developing initiatives. In this role you will: - Office Security : Security Operations & Program Ownership: Own security operating plans and program outcomes across assigned sites, including guard coverage, staffing and training plans, access control, visitor management, post orders, and emergency readiness. Set clear expectations for contracted providers and review staffing, schedules, service quality, invoices, and corrective actions within delegated budget and contract authority. Assess changing risks, coordinate incident response with GSOC and relevant partners, and ensure timely escalation, accurate reporting, and completion of corrective actions. - Events: Partner with CorpSec’s Event Security Team to coordinate secure operations for internal, external, and offsite events, including occasional domestic and international travel; provide support to the Corporate Security Executive Protection Team on executive travel logistics as needed. - Partnerships & Stakeholder Engagement: Establish and strengthen relationships with local law enforcement agencies, local emergency services, peer security organizations, and other external partners to stay current on emerging risks; partner with Real Estate & Workplace, Legal, HR, Communications, and IT on security planning, access control, and incident response. - Policy Development & Compliance: Own and maintain SOPs, post orders, training materials, and escalation procedures for assigned sites and programs, aligned with CorpSec standards and applicable requirements. Use assessments, drills, incident reviews, and operational measures to identify gaps and improve consistency. Contribute recommendations and reusable practices to the relevant global program owners for broader adoption. You might thrive in this role if you have: - Professional Experience: 10+ years in law enforcement, corporate security, protective services, or comparable operational security roles, with a strong understanding of physical security in corporate environments. Law enforcement experience preferred. - Program Management: Demonstrated success owning end-to-end physical security programs across multiple sites, including vendor delivery, staffing, training, incident readiness, and continuous improvement. Able to resolve ambiguity, balance competing priorities, and deliver outcomes through cross-functional partners. - Technical Experience: Working knowledge of access control, surveillance, visitor management, and intrusion detection systems. Able to translate operational risks and business needs into requirements and partner with Office Technology and Design & Construction on testing, commissioning, and transition to full operations. - Operational Leadership: Proven skill in creating, revising, and executing SOPs to ensure consistent and efficient security practices, alongside training programs for both security personnel and broader teams. - Vendor Management: Demonstrated ability to manage contracted security providers, including coverage and staffing plans, training, service quality, performance reviews, invoice review, and corrective actions within delegated authority. - Relationship Building: Demonstrated ability to partner effectively with internal teams and external agencies, forging strong, collaborative relationships; skilled at building trust and collaboration across teams. - Operational Leadership: Demonstrated ability to lead calmly under pressure, manage multiple priorities, and communicate with clarity and confidence in dynamic situations. - Crisis & Event Management: Demonstrated experience in coordinating and collaborating on risk-appropriate security plans for events and executive activity within the assigned scope, including staffing, access, communications, and contingency measures. Partner with Crisis Management, Events, GSOC, and Executive Protection as appropriate, providing additional support and travel when assigned by CorpSec leadership. - Integrity & Approach: High integrity, discretion, and a people-first mindset that prioritizes safety, collaboration, and respect. - Adaptability & Resilience: Comfortable working in a dynamic environment, swiftly pivoting in response to emerging threats or organizational changes. - Travel: Ability and willingness to travel as required for the role’s approved site, event, and project responsibilities. 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.
Order Management Operations & Automation
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 The ways customers buy from us are multiplying as fast as the business is growing. Enterprise order forms. Private offers through AWS, GCP, and Azure. A self-serve business running on usage-based pricing, with commits, drawdowns, and true-ups behind it. Each one is a distinct path from signature to cash, and each one runs today on some mix of manual steps and automation that grew up with the business. This role owns what comes next. You'll run order operations end to end - booking, provisioning, invoicing, amendments, and renewals - on a stack we picked deliberately and recently: Salesforce, Metronome for metering and billing, Rillet for ERP. The stack is modern, but the processes on top of it were built to keep up with growth, not designed to scale. Your job is to decide what each one should become: keep it, rebuild it, automate it, or retire it. Our bias is to invest in systems rather than in a growing queue of manual work, so you'll be setting the automation roadmap at the same time you're operating the function - deciding what a person should touch, what a workflow should handle, and what should never have been a step in the first place. Getting that right is what lets order volume grow by an order of magnitude without ops growing with it. This is a senior individual contributor role. You'll own order operations, working closely with Deal Strategy and Operations, GTM Systems, Finance and Accounting, and Enterprise Engineering. Those teams are your partners and much of your build capacity. Bringing them onto one shared order-to-cash roadmap is a core part of the job, and the reason we're hiring someone senior to do it. What you'll do - Own the order-to-cash path end to end: order form intake from Deal Desk, booking in Salesforce, plan and entitlement setup in Metronome, invoicing and revenue recognition through Rillet, and the amendments, true-ups, and renewals that follow - Build out cloud marketplace operations across AWS, GCP, and Azure: private offer setup, usage reporting to each marketplace, and reconciling marketplace disbursements back to what we billed. Every new channel launches against defined readiness criteria, so marketplace deals run on the same clean path as direct ones - Own self-serve billing operations: usage metering, plan changes, dunning, credits, rebills, refunds, and the escalations behind them - Own billing and usage completeness at month-end close. Every order, credit, and metered event is reconciled between Metronome and Rillet before revenue is recognized, not after - Partner with Deal Strategy and Product as our pricing evolves. Bring the billing view into pricing and deal-structure decisions early, so new models and non-standard terms can be billed accurately and automated, not handled by hand - Set the automation roadmap. Instrument the path, put a number on every place a human touches an order, and decide what gets automated, what gets designed away, and what stays manual on purpose - Treat every billing error as a defect: find the root cause and fix the class of problem, not just the one invoice - Ship automations yourself where that's fastest, and partner with GTM Systems and Enterprise Engineering where the work belongs in core systems or the product - Write the playbook and the controls behind it: approvals, segregation of duties, reconciliations, and exception handling, built so order ops scales through systems rather than headcount and holds up under audit - Own three numbers and move them: touchless order rate, signature-to-provisioned cycle time, and billing accuracy What we're looking for - 6+ years in order management, order-to-cash, billing operations, or revenue operations at a B2B SaaS company, including time building the function at an early-stage or fast-scaling one - Hands-on fluency with a modern billing and ERP stack. We run Salesforce, Metronome, and Rillet - you should know something comparable well enough to have opinions, and get to depth on ours quickly - Real experience with usage-based pricing. Per-seat is straightforward; metered consumption, commits, drawdowns, overages, and true-ups are where order ops gets interesting, and that's most of our business - Working knowledge of ASC 606 and month-end close. You don't need to be an accountant, but you should know what Revenue Accounting needs from billing data and why - Cloud marketplace experience (AWS, GCP, or Azure private offers), or a track record of getting deep on a system like that fast - A history of automating your own job. We'll ask you to walk us through a manual process you deleted: what it cost before, what you built, and what it costs now - The ability to build alignment across teams with different priorities and get to a decision, without relying on org authority - Comfort shipping a v0 earlier than feels comfortable, then iterating with real feedback Nice to have - SQL, Python, or low-code tooling in your own hands rather than on someone else's backlog - Experience building agents or LLM workflows for internal operations. We'd like to run more of our own back office on the LangSmith Platform, wherever it's the right tool and meets the same accuracy bar as the rest of order-to-cash - Audit prep or SOX readiness experience Compensation: $155,000 - $185,000 salary + options 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.
Technical Program Manager, SOX 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 growing fast, and our SOX program needs to keep up. Many of the controls that matter for financial reporting run on engineering systems: who can access production and financial systems, how code changes are reviewed and deployed, and how usage is metered and billed. We’re hiring a Technical Program Manager to own the technology side of our SOX program. You'll work across engineering, security, GRC, Finance, and Internal Audit to design and run IT controls, drive gaps to closure, and make compliance lighter for engineering teams. You’ll also use Claude to automate evidence collection and control testing, so the program scales without more manual work. Responsibilities - Own the technology side of the SOX program end-to-end, from planning and control design through evidence, testing, remediation, and year-end reporting - Work with engineering teams to design and roll out IT general controls and IT application controls - Work with engineering teams to build Claude-based workflows, tools, and dashboards to automate evidence collection, control testing, and monitoring that warns engineering teams about compliance issues before an audit finds them - Lead large SOX projects, such as bringing new systems into scope, with clear success criteria, dependencies, and delivery dates - Turn control requirements into concrete engineering work with clear scope, owners, and deadlines, and a design that fits how our teams already build and ship - Build processes to evaluate new products, systems, and major engineering changes for SOX impact before they ship, so the right controls are in place from the start - Build strong working relationships with engineering control owners, help them understand what their controls require, and support them in producing evidence for auditor requests - Investigate control failures down to root cause, and drive engineering teams to fix them in time for the fix to be tested - Help keep an up-to-date list of the systems, apps, and infrastructure in SOX scope, with an owner named for each control - Track system migrations and scope changes, and make sure controls are updated as systems move - Build metrics and dashboards on control health, open findings, and remediation progress - Give regular updates on program status, risks, and remediation to technical leadership - Keep improving the program: simplify control processes, remove manual steps, and raise the share of controls that run cleanly You may be a good fit if you - Have 7+ years of experience in technical program management, IT audit, or technology compliance, with a focus on SOX and IT general controls - Have run or supported a SOX program at a public or pre-IPO company - Have used automation or AI tools to make compliance work faster and more reliable - Know IT general controls and IT application controls in depth, including access management, change management, and application controls, and how they support financial reporting - Have worked closely with external auditors - Understand cloud infrastructure and engineering workflows, such as code review, CI/CD, and cloud access, well enough to work through a control design with an engineer - Can explain technical risks and control gaps clearly to executives and other non-technical audiences - Are comfortable driving outcomes across engineering, finance, and audit teams that don't report to you Strong candidates may also have - A background in software, systems, or security engineering - Hands-on experience building with Claude Code or other AI tools - Experience with automated controls in revenue or order-to-cash systems, such as billing and usage metering - Experience with financial systems such as ERP and billing platforms, and the controls around them - Experience building or rebuilding a SOX program at a fast-growing company - Familiarity with other security and IT frameworks, such as NIST or ISO 27001 The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Risk & Insurance 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 Anthropic's Business Risk & Insurance (BRI) team, part of Treasury, safeguards the company's balance sheet, people and physical assets. We are the financial and operational safety net for a company building some of the world's most advanced AI systems, from large-scale compute and data center infrastructure to our offices and the products we put in customers' hands. The team is scaling quickly as Anthropic grows. As a Risk & Insurance Specialist, you'll build operational excellence across contracts, claims, and day-to-day insurance operations, using AI and automation to streamline processes wherever you can. You'll work closely with Compute, Engineering, Finance, Legal, Security, Product and Payroll to spot emerging risks early, help structure global insurance programs, support our risk-financing strategy and drive loss prevention. This is a rare chance to insure one of the fastest-growing companies, where parts of the risk landscape are still being defined, and to help Anthropic pursue its mission boldly by keeping our operations resilient and protected. Key responsibilities - Insurance review of contracts: Review insurance and indemnity requirements in customer, vendor, lease, and compute agreements, and advise Legal and business partners on compliant, practical positions. - Insurance operations: Manage claims intake and tracking, certificates of insurance, broker coordination, and policy administration. Build a data warehouse / repository and repeatable processes as volume scales. - Data gathering and reporting: Collect and maintain exposure data (property values, payroll, revenue, headcount, etc.) for renewals, audits, and underwriting submissions. - Actuarial and quantitative analysis: Support limit-adequacy, loss, and retention analyses to inform program structure and decisions. - Captive operations: Support captive formation and ongoing operations, including fronting and reinsurance coordination. - Automation: Identify and implement ways to automate manual insurance workflows using AI and workflow tools. - Cross-functional support: Partner with Compute, Finance, Legal, and Payroll on insurance questions across the business. Minimum qualifications - Experience in insurance, corporate risk management, brokerage, underwriting, or risk consulting. - Hands-on experience supporting a multi-line commercial insurance program (property, casualty, cyber/tech E&O, D&O/management liability, and similar). Preferred qualifications - 8–12 years in insurance, corporate risk management, brokerage, underwriting, or risk consulting - At least 4 years on the corporate (buyer) side, or in a broker or carrier role serving corporate clients - Experience at, or insuring, a technology company or other fast-growing, complex organization - Property insurance experience, including large or complex property, construction, or data center exposures - Captive insurance experience (formation, management, fronting, or reinsurance) - Experience insuring emerging technology risks, such as AI or technology liability and cyber - Background at a major broker, carrier, or large technology company risk team - Actuarial training or credentials, or experience with actuarial analysis - Familiarity with insurance management systems, SQL or Python, or building workflow automation - Experience building processes from scratch in an ambiguous, fast-moving 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: $180,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Community Engagement Manager, Data Centers (Virgin...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate. We are looking for a Community Engagement Manager in Virginia and West Virginia to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations. You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand. You will travel regularly within Virginia and West Virginia, up to 50% of the time, and occasionally to other Anthropic data center markets. Key responsibilities - Build and maintain trusted, sustained relationships with Virginia boards of supervisors, city and town councils, and planning commissions, West Virginia county commissions and municipal officials, state economic development agencies, community groups, civic leaders, educational institutions, and workforce partners in the Virginia and West Virginia data center markets you cover - Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations - Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate - Represent Anthropic in public forums, town halls, planning hearings, community events, and local media - Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement, including in markets where data center development is already well established and community questions about its cumulative effects are active - Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced - Work with the Communications team to develop proactive, locally relevant messaging - Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships - Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, noise, transmission, and land use - Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows Minimum qualifications - Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field - Direct experience working for or engaging with local governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out - A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations - The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews - Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to - The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them - Based in Virginia or West Virginia or willing to relocate to one of them, and prepared to travel regularly across both states Preferred qualifications - 7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government - Familiarity with land use, zoning, and permitting processes at the county and municipal level, including rezoning and special use permit hearings in Virginia - Experience with community concerns around data center siting, such as noise, transmission lines, water, and proximity to residential areas - Experience managing corporate social responsibility programs - Established relationships with economic development, workforce, or civic organizations in the markets this role covers, including in Appalachian and energy-transition communities - Experience working with real estate, legal, communications, and policy teams at the same time - A genuine interest in the communities where you work, not just the projects you are managing The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Community Engagement Manager, Data Centers (New Yo...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate. We are looking for a Community Engagement Manager in New York to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations. You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand. You will travel regularly across New York State, including upstate communities, up to 50% of the time, and occasionally to other Anthropic data center markets. Key responsibilities - Build and maintain trusted, sustained relationships with town, village, city, and county elected officials and administrators, planning and zoning boards, local industrial development agencies, state agencies, economic development organizations, community groups, civic leaders, labor and building trades organizations, educational institutions, and workforce partners in the New York data center markets you cover - Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations - Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate - Represent Anthropic in public forums, town halls, planning hearings, community events, and local media - Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement - Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced, including public comment and environmental review processes - Work with the Communications team to develop proactive, locally relevant messaging - Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships - Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use, including how New York's energy and climate policies and grid conditions shape our plans - Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows Minimum qualifications - Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field - Direct experience working for or engaging with local governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out - A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations - The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews - Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to - The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them - Based in New York or willing to relocate there, and prepared to travel regularly across the region Preferred qualifications - 7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government - Familiarity with land use, zoning, and permitting processes at the local and regional level in New York, including environmental review under the State Environmental Quality Review Act (SEQRA) and local incentive approvals through industrial development agencies - Experience managing corporate social responsibility programs - Established relationships with economic development, workforce, labor, or civic organizations in the markets this role covers - Experience working with real estate, legal, communications, and policy teams at the same time - Experience engaging with Native nations in New York, including familiarity with consultation processes and Tribal sovereignty - A genuine interest in the communities where you work, not just the projects you are managing The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Community Engagement Manager, Data Centers (Louisi...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate. We are looking for a Community Engagement Manager in Louisiana to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations. You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand. You will travel regularly within Louisiana, up to 50% of the time, and occasionally to other Anthropic data center markets. Key responsibilities - Build and maintain trusted, sustained relationships with parish presidents and councils, police juries, mayors and municipal officials, parish planning and zoning bodies, port, levee, and drainage districts, state economic development agencies, community groups, civic leaders, educational institutions, and workforce partners in the Louisiana data center markets you cover - Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations - Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate - Represent Anthropic in public forums, town halls, planning hearings, community events, and local media - Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement - Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced - Work with the Communications team to develop proactive, locally relevant messaging - Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships - Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use, including flood risk, storm resilience, and how large electricity needs are served by local utilities - Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows Minimum qualifications - Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field - Direct experience working for or engaging with parish and municipal governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out - A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations - The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews - Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to - The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them - Based in Louisiana or willing to relocate there, and prepared to travel regularly across the state Preferred qualifications - 7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government - Familiarity with land use, zoning, and permitting processes at the parish and municipal level, including local review of industrial tax incentives - Experience in communities with a long industrial, energy, or port presence, and an understanding of coastal, flood, and hurricane resilience concerns - Experience managing corporate social responsibility programs - Established relationships with economic development, workforce, or civic organizations in the markets this role covers - Experience working with real estate, legal, communications, and policy teams at the same time - Experience engaging with Tribal nations in Louisiana, including familiarity with consultation processes and Tribal sovereignty - A genuine interest in the communities where you work, not just the projects you are managing The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Sourcer - Engineering
About the Role This is not a traditional sourcing role. We're looking for someone who was an engineer first and wants to put that technical depth to work finding and winning the best engineers in the market. You will own proactive outbound sourcing only the top 1% technical talent in the Bay Area and our other hubs identifying them, reaching them, and judging their work on its merits before anyone else does. You'll build and run outreach campaigns, keep pipelines full for specific engineering roles, and bring a steady, systematic hustle to it. What sets this role apart is that you can evaluate technical talent. You can read a GitHub profile and see the signal in it. You can run a genuinely technical first call, get into the nuts and bolts of what someone built and their level of ownership, and tell the difference between top-tier and the rest after a single conversation. You'll report directly to the hiring manager on a tight-knit team of six, with visibility and room to grow into ownership of how we source and evaluate engineering talent. We'll teach you the recruiting craft - the technical judgment is what you bring. Responsibilities - Build and maintain pipelines of top-1% engineering talent for specific open roles - Design and run proactive outreach campaigns to elite engineers - persistent, high-volume, and well-written - Review GitHub profiles and other technical signals to identify genuinely strong candidates - Run technical first calls that go deep on what a candidate actually built - Screen for real quality, filtering aggressively so that only the best talent reaches the hiring team - Partner closely with the hiring manager and recruiter to calibrate on what "great" looks like for each role - Help shape Together AI's approach to technical sourcing as the function grows Requirements - A hands-on engineering background - you've worked as an engineer of some kind. A CS degree is a strong plus. - The ability to read a GitHub profile and glean real signal about someone's depth and quality - Enough current technical fluency to run a deep, credible first call with a strong engineer - Persistence, hustle, and resilience - you're energized by outbound and unfazed by rejection - Strong written communication that gets busy engineers to reply - Based in San Francisco - Recruiting or sourcing experience is a bonus, not a requirement - we'll teach you that part. 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 competitive benefits. The US base salary range for this full-time position is: $125,000 - $190,000K + equity + benefits + incentive bonus. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy .
Staff+ Software Engineer, Enterprise (Full Stack)
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 Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude often have the most demanding needs, with rigorous requirements around end-user experience, procurement, security, and permissions. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for a Staff+ Full Stack Engineer for our Enterprise pillar—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company rolls out Claude to 100,000 employees, the admin, governance, and management experiences you build are what their IT leaders, security teams, and end users touch every day. This is a high-agency role where the product questions are as open as the architecture ones: you'll help decide what these products are, not just how they're built, and you'll see your work land with real teams at the world's largest enterprises. What you'll do - Own technical design and delivery for enterprise-facing products end-to-end across the stack—from admin consoles and governance surfaces to the APIs and data models behind them - Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec - Set technical direction and standards for your team: architecture, code quality, and how the team builds - Work directly with enterprise customers, admins, and sales during key conversations, translating what you learn into engineering priorities - Build the primitives that let the world's largest organizations deploy, govern, and get value from Claude at scale - Mentor other engineers and raise the technical bar across the team, working with influence rather than authority You may be a good fit if you - Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level - Have led the design and delivery of complex customer-facing products across the full stack - Have built enterprise SaaS products and understand what IT admins, security reviewers, and procurement teams need to say yes - Are comfortable working directly with enterprise customers and translating what you learn into technical decisions - Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on - Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have - Experience with enterprise identity, permissions, and administration surfaces (SSO/SCIM, RBAC, audit, usage and spend visibility) - Experience building AI products and turning model capabilities into applications people actually use - Experience as startup founders or early-stage employees The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Director of Investor Relations
About the Role As Director of Investor Relations at Together, you will own the company's relationships with its investors and shape how the equity capital markets understand Together's business, strategy, and long-term opportunity. Reporting to the VP of FP&A, and partnering closely with the CEO, CFO, and executive team, you will be responsible for building our investor engagement strategy and investment narrative. You will also own the core planning and reporting work that underpins our investor story: board reporting, the long-range plan, and the KPIs we use to run and describe the business. This hybrid investor relations and FP&A role will provide deep and unique insight into building and scaling an AI inference company. This is a hands-on, high-ownership role in a lean function: you will build investor relations at Together largely from the ground up. This role is well suited to someone with analytical rigor and a background in equity capital markets who follows developments in technology and AI closely. You will be responsible for deeply understanding investors' perspectives on Together as well as the broader industry, bringing strategic insights to leadership to help inform key decisions. Strong candidates pair depth in financial analysis with the ability to distill sophisticated financial and technical concepts into clear and concise investor narratives. Responsibilities Investor Relations - Serve as a key point of contact for Together's equity investors - Play a leading role in primary and secondary fundraising processes alongside the CFO and CEO, including building investor materials, running the data room and diligence process, coordinating investor meetings, and managing the process through close - Develop and sharpen Together's investment narrative, showing how our technology, business model, infrastructure footprint, and financial profile add up to a compelling long-term thesis - Build the reporting cadence and package for equity investors. Manage ongoing investor communications and requests, including regular investor reporting, ad hoc requests, and follow-ups - Advise leadership on investor sentiment, market expectations, and how key decisions are likely to be received - Develop a view of Together’s current and prospective shareholder base and how it should evolve, leading investor targeting and outreach accordingly - Prepare the CEO, CFO, and executive team for investor and board conversations by anticipating questions, sharpening key messages, and providing the supporting data - Track developments across AI, cloud infrastructure, and equity capital markets, including peer fundraises, valuations, and investor sentiment, and translate them into concise insight for leadership Planning & Reporting - Own the quarterly board reporting package, working with finance and functional leaders to present a clear, accurate picture of the business - Run the long-range plan, including the fundraise and valuation models that connect the company's capital needs to its operating plan - Help define and evolve our monthly KPI reporting, establishing the metrics leadership and investors use to understand performance and benchmark against peers and competitors Requirements - Experience in investor relations, growth equity, venture capital, equity research, investment banking, or a comparable equity capital markets role - Exceptional written and verbal communication skills, with the ability to distill complex financial and technical topics into sharp, credible messages for sophisticated investors - A deep understanding of equity capital markets and how investors evaluate high-growth, capital-intensive companies - Familiarity with, or demonstrated interest in, AI and cloud infrastructure business models, such as GPU capacity economics, usage-based revenue, and infrastructure capex - Ability to build and maintain financial models, and to translate financial statements and operating metrics into a defensible view of a business - Sound judgment handling confidential information, with the discipline to know what should be shared, when, and with whom - Comfort working directly with company executives, board members, and senior investors - A strong work ethic and self-direction, with the creativity and problem-solving instincts to tackle novel questions where there is no established playbook Nice to Have - Direct experience executing late-stage private fundraises, from either the company or the investor side - Experience with consumption-based revenue or large-scale infrastructure business models 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 competitive benefits. The US base salary range for this full-time position is: $ 265-310K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy .
Brand Insights, Measurement Lead
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 Insights, Measurement Lead at Anthropic, you will strengthen the evidence that fuels our brand decisions: knowing whether marketing spend and effort is working, saying so clearly on a schedule to the people who need to hear it. Marketing Insights turns market, campaign and user data into decisions that product, marketing, comms and sales leadership can act on. You'll tell us, with data, whether awareness is turning into consideration, whether consideration is turning into pipeline, and where that chain breaks down for a given audience. This role sits at the intersection of human understanding, marketing science discipline and organizational influence. In this role, you'll own the team's recurring measurement readouts, including the Prosumer and B2B brand health tracker studies and the metrics, headwinds and tailwinds that show up in front of business leadership and in all-hands updates, keeping them accurate, current and easy to act on. You'll partner closely with your Marketing Insights teammates, Comms and data science on the brand-health dashboard, Brand & Integrated Marketing leadership, brand data science, research vendors, and cross-functional stakeholders across Enterprise Marketing, product marketing and finance. Responsibilities - Own the recurring executive and all-hands readouts that put key metrics, headwinds and tailwinds in front of marketing management and the broader team - Lead process ownership of the Prosumer and B2B brand health tracker studies, including managing the research vendor relationships that field them - Lead coordination across Comms, Marketing and data science on the brand-health dashboard, aligning all three groups on one consistent view of the data - Support media mix modeling, multi-touch attribution and incrementality analyses that inform how marketing budget and effort get allocated, moving the team past correlation to a defensible read on what's actually driving outcomes - Run best-practice pre- and post-campaign analysis on individual campaigns, covering creative, channel, audience, and timing effects, and turn each read into a specific change for the next campaign - Roll up campaign-level learnings into a recurring view for leadership: which channels, creative approaches, and audiences are outperforming over time, and where the team should adjust the playbook next - Build audience and funnel analyses that quantify how different audiences move, and relate to each other, from awareness through consideration to conversion, and what that means for where to invest - Audit how customer sentiment gets reported across the business and design a more efficient, consistent process - Manage the underlying data pipelines so that recurring readouts stay reliable and don't get rebuilt from scratch each cycle - Partner with Marketing Insights teammates to keep measurement process and research design in sync, including feeding into the Marketing Business Review scorecard process - Develop one defensible view from first-party behavioral data, campaign and media data, and survey or attitudinal research, being clear about what each source can and can't tell you on its own - Present findings to non-technical audiences, including marketing leadership, enterprise sales and finance partners, translating hedged results into clear recommendations You may be a good fit if you - Have a strategic orientation, strong curiosity for understanding what customers and users think and how to shift perceptions, and can use that to influence business and marketing direction - Are fluent in SQL and Python or R, and move comfortably between a quick exploratory pull and a more rigorous statistical model - Have designed or analyzed experiments (A/B tests, holdouts, lift tests) to establish a causal effect rather than settle for a correlation, and have applied regression, segmentation or other causal-inference methods to a real business question - Have run campaign-level measurement end to end, from a pre/post read on a single campaign to synthesizing learnings across multiple campaigns into a change the team acts on next time - Have built and maintained a recurring metrics report or dashboard that executives or cross-functional partners actually rely on, and kept it trustworthy over time - Can turn a hedged, caveated finding into a clear recommendation a non-technical stakeholder can act on, and know which caveat matters enough to keep in the headline - Start an analysis by pinning down the business question and the decision it needs to serve, not the method that's most interesting to run - Can reconcile data with no universal taxonomy across first-party, third-party, real-time and survey sources - Know when a directionally correct answer now beats a more rigorous one that arrives too late to matter - Work well across functions, building credibility with both technical partners and non-technical leadership - Are excited about Anthropic's mission to develop AI that is safe and beneficial Strong candidates may also have - Experience with media mix modeling, multi-touch attribution or incrementality and lift testing specifically, rather than general-purpose analytics - Experience advising marketing stakeholders on experimental design for live campaigns (email, paid social), or measuring marketing performance across multiple markets - Familiarity with survey-based quantitative research (MaxDiff, conjoint, brand and sentiment tracking) alongside behavioral and usage data - Experience with a modern data warehouse (Snowflake, BigQuery) and a BI tool (Tableau, Looker, Power BI) - Prior experience in marketing, growth or brand analytics specifically, rather than data science in a general or product context - A graduate degree in statistics, economics or another quantitative field - A career trajectory spanning BI and dashboarding, applied causal inference and experimental design, and multi-market marketing measurement The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Hardware Security Engineer, New Grad (2027)
About the Role As a Hardware Security Engineer, you’ll contribute to building open, transparent, and secure AI systems. You’ll have the opportunity to work on projects that safeguard corporate assets by implementing and operating preventative and reactive security controls while collaborating with teams and stakeholders across the company. We’re looking for an intern that is interested in building AI-assisted security apps. Responsibilities - Design, prototype, and implement security solutions for AI infrastructure across hardware, firmware, operating systems, and cloud services, including BMCs, TPMs, secure boot chains, networking interfaces, and workload identity systems. - Assess and improve the security posture of server and accelerator platforms, including firmware update processes, device identity, trusted execution, and hardware-backed cryptography. - Support the secure platform lifecycle, from device onboarding, provisioning, and inventory through configuration validation and decommissioning. - Build automation and internal tools in Python, Bash, or similar languages to collect platform telemetry, detect configuration drift, and support incident investigation. - Build AI-assisted security applications for asset classification, anomaly detection, and detection-and-response workflows. - Partner with IT and infrastructure teams to implement and enforce identity, access-control, endpoint, and privileged-access security practices. - Research and evaluate emerging technologies such as confidential computing, remote attestation, hardware roots of trust, and secure device management. - Write clean, well-documented code, technical designs, test plans, and security findings. Requirements - Actively pursuing a degree in Electrical Engineering, Computer Science, Software Engineering, or a related field expected by Summer 2027 - Foundational understanding of computer architecture, operating systems, networking, embedded systems, digital logic, or electronics - Strong programming skills with a proficiency in Python or bash - Exposure to building AI-assisted applications Preferred Qualifications - Prior security engineering experience through internships, hackathons, or projects - Coursework, projects, research, or internship experience in hardware security, embedded security, platform security, computer architecture, or secure systems design - Experience with one or more of the following: Microcontrollers, FPGA development, board bring-up, JTAG/SWD debugging, serial interfaces, SPI, I2C, UART, PCIe, or Ethernet 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 competitive benefits. The US base salary range for this full-time position is: $140,000 - $150,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. 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
Hardware Security Engineer Intern (Summer 2027)
About the Role As a Hardware Security Engineer Intern, you’ll contribute to building open, transparent, and secure AI systems. You’ll have the opportunity to work on projects that safeguard corporate assets by implementing and operating preventative and reactive security controls while collaborating with teams and stakeholders across the company. We’re looking for an intern that is interested in building AI-assisted security apps. Responsibilities - Help design, prototype, and assess security solutions for AI infrastructure across hardware, firmware, operating systems, and cloud services, working with components like BMCs, TPMs, secure boot chains, and device and workload identity systems. - Support secure platform lifecycle work such as device onboarding, provisioning, inventory, and configuration validation. - Build automation and internal tools in Python, Bash, or similar languages to collect platform telemetry, detect configuration drift, or support incident investigations. - Prototype AI-assisted security tools for tasks like asset classification, anomaly detection, or detection-and-response workflows. - Research an emerging area such as confidential computing, remote attestation, or hardware roots of trust, and share your findings with the team. - Own a well-scoped project from start to finish with mentorship from experienced engineers, delivering clean, well-documented code and presenting your results at the end of the internship. Requirements - Bachelor’s degree (or equivalent) in Electrical Engineering, Computer Science, Software Engineering, or a related field, earned or expected by Summer 2028 - Foundational understanding of computer architecture, operating systems, networking, embedded systems, digital logic, or electronics - Strong programming skills with a proficiency in Python or bash - Exposure to building AI-assisted applications Preferred Qualifications - Prior security engineering experience through internships, hackathons, or projects - Coursework, projects, research, or internship experience in hardware security, embedded security, platform security, computer architecture, or secure systems design 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. Internship Program Details: Our internship program spans over twelve weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are May 18th to August 7th or June 15th to September 4th. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58. Our hourly rates are determined by location, level, and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy
Strategic Transactions & Partnerships Counsel
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Legal team We're building the infrastructure that democratizes access to intelligence. By serving state-of-the-art models to enterprises and advancing open source, we enable organizations to truly own their own intelligence. Our legal team exists to make that mission possible, responsibly and at scale, because we believe broad access to AI is one of the most consequential things we can build for society. Our legal team is defined by high integrity, high character, and high trust. We're low-ego, collaborative, kind, and supportive people who are genuinely excited to be part of a team. We win together or not at all. About the role As Strategic Transactions & Partnerships Counsel, you'll be a foundational member of a growing legal team, leading our most complex and consequential commercial deals. You'll operate at the intersection of large-scale procurement, strategic commercial partnerships, and model licensing — structuring and negotiating novel, high-stakes agreements that shape the trajectory of the business. This is a role for someone who thrives in legally unsettled territory and understands the AI ecosystem from the inside. This role initially reports to the General Counsel. What you'll do. - Negotiate and structure complex agreements, including commercial transactions, strategic partnerships, large-scale compute procurement, and licensing arrangements. - Serve as the legal architect on first-of-their-kind deals where there's no template to work from. - Partner directly with executive stakeholders to align deal strategy with business objectives. - Advise on the commercial and strategic implications of the evolving AI landscape. - Help build the transactional infrastructure and playbooks a scaling legal function needs. Minimum Qualifications - 9+ years of relevant experience, with significant complex commercial transactional work, ideally spanning law firm and in-house. Experience in hypergrowth environments preferred. - A JD and membership in at least one US state bar. - Demonstrated experience leading sophisticated deals — procurement, partnerships, licensing — independently and end-to-end. - Deep familiarity with the AI ecosystem and the novel legal questions it raises. - Strong executive presence and the judgment to navigate ambiguity with confidence. - AI-forward, builder’s mindset, with a demonstrated ability to use AI tools to streamline daily workflows and accelerate efficiency. Why Fireworks? - Solve Hard Problems: Tackle cutting-edge legal challenges at the forefront of AI infrastructure. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class teams who thrive on curiosity and innovation. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, market data, and work location. Fireworks AI is an equal-opportunity employer. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Get tailored job alerts, not another account to manage
Start with your email. We’ll send the newest roles for this site each day; unsubscribe in one click.
Coming soon: automatic applications. You’ll be able to define your criteria and let Jobs in AI apply to matching roles. This is a preview only—applications are not automated today.