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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 as our early Singapore-based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across ASEAN, helping them harness the full potential of all our Claude capabilities - Claude Enterprise, Claude Code, and the API. You'll develop genuine partnerships with customers, gaining a deep understanding of their 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 (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, 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 product development and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. As our early CSM in Singapore, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: - Build trusting, strategic relationships with customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion - Become an expert in Anthropic's products across API, Claude Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions - Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/adoption and how it creates realized value for the customer - Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both our consumption-based and seat-based products 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 as the voice of ASEAN and broader APAC customers - Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment - Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows - 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 - Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic - Build Anthropic's brand and customer relationships as the early in-region CS presence, developing where needed, ASEAN-specific processes, playbooks, and best practices that account for regional business cultures You may be a good fit if you have: - 8+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/Functional Consultant, Success Engineer or similar) - Mandarin language fluency - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns to various audiences - Strategic mindset to identify growth opportunities and translate them into actionable expansion plans - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Strong project management skills and a knack for bringing order to chaos, demonstrating an enthusiastic "roll up your sleeves" mentality and team player mindset - Passion for AI and interest in responsible development of advanced systems - Experience working in and building a growing region, while navigating across time zones with US-based headquarters Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Sales Development Manager for Enterprise at Anthropic, you will lead the team that opens our most strategic customer relationships. You'll build and manage a team of 6-10 Business Development Representatives (BDRs) who generate high-value pipeline inside complex enterprise organizations through account-based prospecting, multi-threaded outreach, and rigorous qualification. Enterprise buying is long and involves many stakeholders. The work here is less about volume and more about depth: knowing an account well enough to reach the right people with the right message, and staying with it long enough to turn early conversations into real opportunities. You'll bring a strong understanding of enterprise sales cycles and organizational dynamics, and you'll coach your team to develop strategic accounts over time. You'll partner closely with Enterprise Account Executives and with leaders across Sales, Revenue Operations, Strategy, and Marketing. You'll also develop the next generation of Anthropic's enterprise sellers, helping BDRs grow into Account Executive roles while they help the world's largest organizations adopt safe, frontier AI. Key responsibilities - Build, lead, and scale a team of BDRs focused on the Enterprise segment - Drive strategic pipeline generation through account-based prospecting and targeted outbound campaigns to Global 2000 accounts - Coach your team on partnering with Enterprise Account Executives to develop account plans, coordinate multi-threaded outreach, and ensure high-quality opportunity handoffs - Establish and track KPIs focused on opportunity quality, deal size, and strategic account penetration - Coach and model for your team on enterprise prospecting, stakeholder mapping, and complex qualification - Build a deep understanding of enterprise buying processes, and coach the team on navigating procurement, legal, and security requirements - Own pipeline reviews with sales leadership covering enterprise pipeline health, account penetration, and competitive positioning - Build strong relationships with cross-functional leaders and partners across Sales, Revenue Operations, Strategy, and Marketing - Coach and mentor BDRs on strategic prospecting, executive engagement, and career development toward Account Executive roles Minimum qualifications - Experience managing BDR, SDR, or new business Account Executive teams in an enterprise-focused sales organization - A track record of building teams that prospect successfully into complex enterprise organizations - Experience with account-based selling strategies, including account planning, stakeholder mapping, and multi-threaded outreach - Hands-on proficiency with a CRM and sales engagement tooling (e.g., Salesforce, LinkedIn Sales Navigator, or similar), and the analytical skills to design prospecting systems and measure pipeline quality - Demonstrated ability to coach representatives on navigating complex organizational structures and multi-stakeholder deals - Clear written and verbal communication, including the ability to engage executive-level stakeholders - An understanding of Anthropic’s products, ecosystem, and hands on building experience with LLMs - Excitement about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - Personal closing experience as an Account Executive, Account Manager, ideally in a management role - Experience managing teams that prospect into Fortune 500 or Global 2000 accounts - A track record of developing BDRs who move successfully into enterprise Account Executive roles - Experience building enterprise prospecting playbooks where none existed - Hands-on experience with Claude, Claude Code, or other AI prospecting tools, and with sales tools such as Apollo and HubSpot - Experience in API-first, consumption-based, or platform business models - Background in AI or machine learning, cloud infrastructure, or developer platforms - Familiarity with enterprise procurement, security review, and legal processes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $350,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Program Overview Some of our world's grand challenges, from resolving long-open problems in mathematics to designing medicines for neglected diseases, require deep expert judgment that today's AI still lacks. We're working toward an AI scientist, a system capable of the long-horizon reasoning and experimental judgment needed to push the frontier on problems like these. We believe frontier AI, developed safely, can meaningfully accelerate progress across science and engineering. Getting there requires close collaboration with people who have spent years at the frontier of their fields. The Anthropic STEM Fellows Program brings researchers and experts from across science and engineering into Anthropic for four months to take on the grand challenges of their fields with Claude. Working in small pods of Fellows from related fields, you will pair deep domain expertise with our frontier models and internal tooling to define the hardest open problems in your discipline, build the datasets and simulations that let us test and train Claude on them, and find exactly where it falls short. We're looking for Fellows across science and engineering. Prior machine learning experience is helpful but not required. Scientific judgment and a willingness to learn quickly matter more. Our first cohort of more than 20 STEM Fellows across mathematics, physics, the life sciences, and engineering, ran from June to September 2026. The problems they built now feed Claude's training and one of our internal science evaluations. What to Expect: - A place in a small pod of Fellows working on related problems in your domain. Your pod meets weekly with Anthropic researchers to share methods, pressure-test ideas, and build on each other's work. - A grand challenge at the frontier of your field: an ambitious, open-ended problem scoped with our research team so you can make real progress in four months. - Access to frontier Claude models and internal evaluation tooling. Compensation: $100,000–$167,000 USD for the four-month fellowship (equivalent to $300,000–$500,000 USD annualized), and other benefits. Key responsibilities - Setting grand challenges for your field: identifying long-horizon open problems where Claude falls short of expert judgment, and defining what real progress on them looks like. - Building comprehensive datasets, simulations and rigorous, hard-to-game evaluations that test whether models can plan experiments, interpret data and reason about mechanisms, and systematically finding where they're confidently wrong. - Applying Claude to open problems in your domain, using test-time compute strategies and integrating the scientific tools and software your field relies on. Minimum qualifications - Are excited about the potential for AI to reason well about hard questions in their field where expert judgment matters. - Hands-on experience using Claude and Claude Code in your day-to-day workflow. - Hold a PhD in a STEM field and have several years of experience (eg post-doc or faculty). - Are comfortable working in a fast-paced, high-agency atmosphere for a few months and delivering concrete results. - Existing authorization to work in the United States for the duration of the program. Logistics - Fellows - The program runs from January 12th to May 8th 2027 , and is full-time for the duration; some fellowships may be considered for an extension. - Applications are open until October 28, 2026 , and we plan to make offers by November 20th. Later stages will typically include a take-home exercise and conversations with our research team about your research interests and possible project directions. - We ask that all Fellows attend a one-week in-person orientation in San Francisco. - The default location is in San Francisco. We will consider remote engagements within the United States in certain circumstances. - We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the United States. - This is a fixed-term contract position. Fellows are engaged through an employer of record, rather than employed directly by Anthropic. The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Program Manager for Corporate Engineering, you will lead programs that build world-class business solutions enabling every Ant to do their best work. In partnership with Anthropic's IT & Security organization, you will drive end-to-end solutions across the company, delivering the right products, tools, platforms, and experiences for all Ants as they work to create a world for safe and powerful AI. In the simplest terms, you build and drive solutions to enable all of Anthropic to be more productive. You will use your technical and program management expertise to lead complex, multi-disciplinary programs from start to finish. You will work with stakeholders to plan requirements, identify risks, lead execution, and communicate clearly with cross-functional partners across the company. You are equally comfortable explaining your team's analyses and recommendations to leadership as you are discussing the technical tradeoffs in product development with engineers. This role owns the full spectrum of Corporate Engineering programs: the IT systems Ants depend on daily, first-party and third-party software platforms, endpoint devices, office infrastructure, AV and collaboration equipment, network infrastructure, and the programs that scale our physical office footprint as Anthropic grows. Responsibilities - Partner across Corporate Engineering domains to drive alignment and delivery : Work with globally distributed product, engineering, and architecture teams to foster collaboration, help teams adopt enterprise standards, and enable faster delivery with consistent practices across the organization - Define and maintain core architectural foundations : Assist in establishing and maintaining the architectural standards that underpin Corporate Engineering systems, ensuring scalability, reliability, and security as Anthropic grows - Lead office deployment and scaling programs : Own end-to-end planning and execution for new office buildouts and expansions, coordinating across IT, Facilities, Security, and external vendors to deliver fully operational workspaces on schedule - Own internal systems and infrastructure programs : Drive programs for all internal systems and hardware deployed in Anthropic buildings, including network infrastructure, AV equipment, printing and collaboration hardware, and building technology integrations - Lead endpoint and device management programs : Own global programs for corporate laptops, mobile devices, and endpoint management, ensuring Ants have secure, well-managed devices that enable productivity from day one - Drive IT Operations excellence : Lead programs that improve IT service delivery, support operations, and the overall Ant experience with technology, driving continuous improvement in reliability and responsiveness - Manage enterprise software and platform programs : Lead programs for the 1P and 3P software platforms Ants depend on, including HR systems, productivity tools, and business applications, from evaluation through deployment and ongoing optimization - Collaborate with cross-functional stakeholders : Work closely with Security, Facilities, People, Finance, and functional teams across Anthropic to ensure Corporate Engineering programs meet diverse organizational needs - Communicate effectively at all levels : Comfortable communicating across all levels of Anthropic from presenting analyses, recommendations, and program status to leadership, engaging deeply on technical tradeoffs with engineering teams, and communicating broadly to the entire company You May Be a Good Fit If You Have - 8+ years of experience in IT, Corporate Engineering, or Enterprise Technology, with at least 4+ years leading complex, cross-functional programs - Technical background in enterprise IT systems, including endpoint management, identity and access management, network infrastructure, and SaaS platforms - Experience leading office buildout or infrastructure deployment programs, coordinating across IT, Facilities, and external vendors - Proven experience as a Technical Program Manager or similar role in a technology-focused environment, with a track record of leading company-wide programs to successful completion - Strong communication skills with the ability to translate technical concepts for executive audiences and engage credibly with engineers on technical details - Ability to manage ambiguity and drive clarity in fast-paced, evolving environments where requirements and priorities shift - Strong collaboration skills with proven ability to partner across diverse stakeholders including IT, Security, Facilities, People, Finance, and functional teams Strong Candidates May Also Have - Experience scaling IT infrastructure in high-growth technology companies - Background in IT service management (ITSM) frameworks and continuous improvement methodologies - Experience with enterprise software evaluation, procurement, and vendor management - Familiarity with modern endpoint management platforms and zero-trust security architectures - Experience with AV systems, video conferencing infrastructure, and collaboration technology deployments - Prior technical experience as an IT engineer, systems administrator, or network engineer - Experience with IT programs in AI/ML research environments or organizations with unique security and compliance requirements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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.

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 Forward Deployed Engineering (FDE) embeds with our most strategic customers to build production AI systems on Claude. The team takes on work where no playbook exists yet, turns what works into repeatable patterns for partners and our field teams, and brings what it learns back to Product and Research. Demand for FDE is well ahead of the team's capacity, and the team is growing quickly across the Americas, Europe and Asia. We're hiring a dedicated Strategy & Operations Lead for FDE. You'll be the strategy partner to FDE leadership and own the plan: headcount and capacity, the mix of work the team takes on, how engagements are priced and measured, and how more of the work moves to partners. You'll run the business reviews and build the reporting leadership uses to make these calls. You'll sit on our GTM Strategy & Operations team, dedicated full time to FDE. You'll work closely with Finance, Deal Desk, Legal, Revenue Operations, Partnerships and Applied AI, and with the FDE program leads who run pre-sales and delivery. This is a hands-on role. You'll build the models and dashboards yourself and use Claude to automate as much of the reporting as you can. Key responsibilities: - Own the plan. Build FDE's annual and quarterly plan: headcount and hiring by region and role, capacity, utilization, and the mix of commercial, research and mission-driven engagements. - Model demand and capacity. Build the demand, capacity and staffing models behind the plan, with scenarios leadership can use for hiring and prioritization decisions. - Run the business reviews. Lead FDE's monthly and quarterly reviews. Set KPIs with FDE leadership, own the scorecard, and write the materials for GTM and company leadership. - Build the reporting. Work with Revenue Operations and Data Science to get engagement, staffing and outcome data into our systems so reporting runs without manual work. Measure what engagements lead to: production launches, consumption, expansion, and patterns partners reuse. - Shape the commercial model. Partner with Finance, Deal Desk and Legal on how FDE engagements are priced, packaged, discounted and contracted, and track the economics of the portfolio. - Scale through partners. Build the plan and the economics for moving more work to delivery partners: which engagements partners own, co-deliver or get Anthropic advice on, what capacity they need, and how we measure their quality and cost. - Design the org. Work with FDE leadership and People on new roles, manager spans and where new headcount lands as the team grows. - Lead cross-functional projects. Take on questions that span Sales, Applied AI, Customer Success, Product and Research, from defining the problem through to a decision and a working process. - Automate with Claude. Use Claude Code and agents to build and run the models, dashboards and workflows this role depends on. Minimum qualification: - Have worked in strategy and operations, business operations, strategic finance or consulting, including direct work with a professional services, implementation, solutions engineering or forward deployed team - Understand how a services business makes and loses money: utilization, staffing mix, rates, backlog and margin, and how they connect to customer outcomes - Can build a capacity or staffing model from scratch, explain every assumption in it, and pull the data yourself with SQL - Have run planning cycles and business reviews for a senior leader and written the materials yourself - Have taken an unclear question to a recommendation, a decision and a process that other teams still use - Earn the trust of senior technical and commercial leaders and can influence them without direct authority - Are comfortable working fast with imperfect data and simple processes that you improve as you go - Use AI tools in your own work today and want to push that much further - Are excited about Anthropic's mission to build AI that is safe and beneficial Preferred qualification: - 10+ years in GTM strategy and operations, business operations or consulting - Built the operations of a professional services or FDE team through a period of fast growth - Worked on services pricing, statements of work and deal terms with Finance and Legal - Built or managed delivery partner programs, including subcontracting, co-delivery and partner economics - Experience in a consumption or usage-based business, including tying services work to product usage - Enough technical fluency to talk with engineers about how LLM applications are built (agents, evals, MCP) - Experience with Salesforce and professional services automation (PSA) tools - Experience at an AI, cloud or developer infrastructure company - Experience preparing materials for executive and board audiences The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $310,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 the Developer Relations Manager for Claude Platform at Anthropic, you will lead the team responsible for how developers discover, onboard, build, and scale applications using the Claude Platform. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development, and ensuring our Platform is used responsibly across a diverse range of implementations. You'll set the vision and strategy for growing and engaging Claude Platform’s developer community. Your success in this role will directly shape Anthropic's growth trajectory and market position while ensuring our APIs are used to create safe, positive outcomes. Building strong relationships between our developer community and internal teams will be essential as we advance our mission of creating safe AI. Key responsibilities Set the Vision and Drive Strategic Impact - Build and execute the strategy for how developers discover and grow their integrations on the Claude Platform - Build and execute the strategy for content the team produces to educate developers on building high quality integrations on top of the Claude Platform - Collaborate with product and engineering leadership to ensure developer feedback informs the roadmap - Prioritize initiatives based on data, feedback, and the needs of both developers and Build and Lead a World-Class Team - Pioneer the definition of what world-class developer relations looks like in this quickly evolving field - Recruit, inspire and scale a high-impact developer relations team with global reach and representation across key markets - Foster a collaborative culture that embodies Anthropic's values while driving innovation in how we engage developers - Create and implement scalable processes that evolve as both the team and developer ecosystem expand - Establish clear growth paths and development opportunities for team members that align personal advancement with delivering exceptional value Drive Alignment and Innovation Through Cross-Functional Leadership - Act as an advocate for Claude Platform developer needs at Anthropic, translating developer feedback into strategic initiatives - Collaborate with Research to translate AI capabilities into accessible educational resources - Partner with Communications and Marketing teams to amplify developer success stories - Ensure best practices for responsible AI use are adopted by developers building on the Claude Platform Minimum qualifications - You have experience building and leading developer relations, developer experience, or technical product teams, with a proven track record of measurably growing developer ecosystems - You're technically credible. You understand AI/ML and API concepts and translate complex technical ideas for various audiences ranging from individual developers to enterprise executives - You have hands-on technical abilities. You’re capable of creating your own code demos, critically reviewing developer content for quality and best practices, and providing specific technical feedback that elevates the work of your team - You have insight into developer psychology and behavior. You know how to reach developers through the right channels, build authentic affinity for products, and design education programs that drive meaningful adoption - You're passionate about AI's potential and deeply committed to ensuring it's developed responsibly, with a genuine interest in AI safety and ethical considerations - You're a collaborative leader who can influence across teams without direct authority, building strong relationships with stakeholders at all levels - You have experience scaling teams in high-growth environments and can adapt quickly as priorities evolve Preferred qualifications - Experience working specifically with AI developer platforms - Public speaking experience at industry conferences and events - Content creation experience (technical writing, video tutorials, etc.) Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About 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 At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Frontier AI runs on datacenters, and the world is in the middle of the largest infrastructure buildout in a generation. The binding constraint on progress is increasingly everything around the chips: land, power, permits, equipment, and the design and construction of the buildings themselves. Bringing a single site online involves hundreds of people, thousands of components, and decisions that move enormous amounts of capital. Much of that work still runs on spreadsheets and handoffs. At Anthropic, we're building software and Claude-powered tools to help Anthropic scale out its compute, and we think there's an enormous opportunity to rethink how that work gets done. It's early, it's already having a real impact, and the engineers who join now will shape how one of the most consequential buildouts in the world gets done. We're looking for strong, versatile software engineers who love building for people doing real work in the physical world. You'll embed with the teams that source sites, design buildings, procure equipment, and manage construction, learn their work deeply, and build the tools and systems they rely on every day. Datacenter experience is a big plus, but what matters most is that you can earn the trust of expert operators, model a messy domain cleanly, and move fast. Responsibilities - Build the core systems that track a datacenter's lifecycle (sites, designs, bills of materials, equipment, and construction progress) in one trusted, permissioned source of truth - Embed with datacenter, energy, and supply chain teams to understand how the work actually gets done, find the critical path, and build the tools they reach for first - Bring order to messy data by migrating and reconciling spreadsheets and legacy trackers, and integrate with the industry's tools, like construction management, scheduling, and engineering systems - Design for trust: fine-grained permissions, auditability, and data quality for information that steers major investment decisions - Ship early, iterate with users, and cut anything that doesn't help bring compute online sooner - Partner with research to understand new model capabilities and share where they fall short in engineering-heavy, physical-world domains You may be a good fit if you - Have 8+ years of experience building software, with strong full-stack skills and solid grounding in data modeling, APIs, and databases - Have built software that teams in a physical-world industry depend on, such as datacenters, construction, energy, manufacturing, supply chain, or logistics - Have a track record of zero-to-one work in startup or startup-like environments - Are deeply user-centric: you learn the domain from the people doing the work and validate with them before over-investing - Bring high agency and good judgment about what matters, and hold strong opinions loosely - Communicate clearly across engineering, operations, and research, and care about the societal impacts of your work Strong candidates may also have - Experience in datacenters (at a hyperscaler, colocation provider, operator, utility, or engineering firm), or in adjacent fields like construction, logistics, or legal - Experience with the domain's tooling, such as construction management (Procore, Autodesk Construction Cloud), scheduling (Primavera P6), PLM/BOM, ERP and procurement, CAD/BIM, DCIM, or power system studies - A background in electrical, mechanical, or civil engineering, energy systems, or supply chain alongside a software career - Experience building products with large language models Candidates need not have - 100% of the skills listed above - Formal certifications or education credentials - Direct machine learning or AI research experience Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager focused on Enterprise Privacy, you'll collaborate with Privacy Engineering, Infrastructure, Trust and Safety, Legal, Security, GTM, enterprise and platform product teams, and our cloud partners to evolve and extend the controls that enterprises, regulated industries, and governments require in order to bring their most sensitive work to Claude. You will synthesize complex and fast-changing business needs and partner closely with the teams that retain, protect, and govern customer data across Anthropic's first-party platform and Claude on AWS, GCP, and Azure. Together, you will ensure that privacy guarantees are enforced by our systems and are verifiable by our customers. This is a high-visibility role with substantial scope. Anthropic offers layered controls over how customer data is retained and accessed, and you will build the product surface that lets customers understand, govern, and verify these controls. This includes retention and access controls, access logs and compliance reporting, customer-managed keys and custody, data residency, and self-serve user interfaces. Your stewardship of these privacy capabilities earns the customer trust that is essential to Anthropic's mission. Key responsibilities - Deeply understand external customers with strict data handling requirements, from a bank's CISO to a healthcare system's compliance team to a government contractor's auditor, and the internal Trust and Safety, Legal, and GTM stakeholders whose needs pull in different directions. - Partner with Privacy Engineering to ship controls that unblock regulated customers, balance impact against engineering cost, and deliver at Anthropic speed. - Co-develop solutions with design-partner customers and their compliance teams, so shipped changes pass real audits, not just hypothetical ones. - Work with engineers to steer architecture and investment decisions with a long-term lens: balancing build versus buy versus rely-on-the-cloud-provider, and sequencing custody, residency, and transparency across clouds that ship on their own timelines. - Define success metrics for privacy controls, from preventing configuration incidents by design, to the speed at which customers can independently answer questions about their own data. - Define and iterate on the self-serve experience for compliance and security teams, expanding what an organization can check about its own posture, settings, and access history without having to wait on support tickets. - Gather and assess competing stakeholder needs and communicate prioritization trade-offs clearly to senior leadership, balancing privacy risk, safety requirements, legal exposure, and commercial impact. When something goes wrong, own what customers hear from us and when. - Work with engineering leads to decide how retention, access, residency, and custody controls are enforced, so that our infrastructure keeps the promises we make. Minimum qualifications - Experience taking a new product area from ambiguity to a durable roadmap, and shipping controls that enterprises or regulators depend on. - A track record of driving platform capabilities that balance the needs of multiple customer segments and internal stakeholders. - The judgment to make prioritization trade-offs between customer demand, risk, and engineering cost, and the clarity to communicate them. - The ability to internalize how privacy, safety, legal risk, and commercial impact interact, and translate that understanding into a coherent product vision. - Experience building highly collaborative and effective relationships with engineers and key cross-functional stakeholders. You have equal credibility providing design doc feedback to engineers, negotiating a control with a CISO without losing the relationship, and explaining a risk trade-off to leadership. Preferred qualifications - 8+ years of product management experience, with deep exposure to privacy, security, or compliance products. - Built or scaled audit logging, key management, data residency, retention, or access governance products for regulated customers. - Shipped controls across multiple cloud providers or partnered with AWS, GCP, or Azure at the platform level. - Worked with certification, attestation, or trust center programs (SOC 2, ISO 27001, FedRAMP). - Used Claude, Claude Code, or comparable agentic tools and formed opinions about the data controls they should offer. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About the Team The Applied AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As the Manager of Applied AI Architects, you will lead a team of senior technical leaders responsible for the technical strategy, customer journey, and path to production value for OpenAI's largest and most complex customers. Your team will act as the “CTO of the book of business,” partnering with customer executives and technical teams from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will set the operating model for how Applied AI Architects own technical account plans across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In close partnership with Sales leadership and Account Directors, you will help prioritize customer portfolios, allocate technical resources, and ensure business priorities translate into focused use cases, credible architectures, actionable adoption roadmaps, and durable customer value and growth. You will remain accountable for the team's technical outcomes while developing its people and bringing in the right specialists across deployment, implementation, enablement, security, product, research, and partners. You will serve as an executive technical sponsor for critical engagements, a senior voice of the customer inside OpenAI, and a cross-functional leader who can move confidently between regional strategy, executive decision-making, architectural depth, and hands-on coaching. This role is based in Bangalore . In this role, you will: - Hire, coach, and develop a high-performing team of Applied AI Architects, creating an environment of technical excellence, sound judgment, continuous learning, accountability, and strong customer stewardship. - Define and continuously refine the strategy and operating model for Applied AI Architecture teams, aligning company priorities with the evolving needs of strategic customers and the regional go-to-market. - Partner with Sales leadership and Account Directors to prioritize accounts and opportunities, allocate technical resources effectively, and establish clear technical strategies for the region's most consequential engagements. - Ensure Applied AI Architects serve as the primary technical advisors for their portfolios, owning technical account plans, technical milestones, adoption priorities, account health, and expansion opportunities. - Lead complex, multi-threaded customer journeys that connect executive vision and business outcomes with use-case qualification, solution evaluation, enterprise governance, and a credible path to production. - Coach the team on Applied AI architectures spanning models, applications, data, integration, identity, security, privacy, governance, evaluation, reliability, and deployment. - Build trusted relationships with C-suite and board-level stakeholders, as well as senior AI, technology, data, security, and engineering leaders, serving as an executive technical sponsor when needed. - Mobilize Deployment Engineering, implementation, enablement, Product, Engineering, Research, Security, Legal, Privacy, partners, and other specialists to remove blockers and deliver a cohesive customer experience. - Establish a rigorous view of portfolio health, including technical wins, qualified use cases, production readiness, adoption, usage, risks, measurable customer impact, and the technical contribution to growth. - Translate patterns from the field into actionable feedback for Product, Engineering, Research, and go-to-market teams, while developing reusable architecture guidance and customer practices. - Foster a culture that balances ambitious customer outcomes with responsible AI deployment, clear ownership, thoughtful prioritization, and effective specialist handoffs. You might thrive in this role if you: - Possess deep technical acumen in modern AI systems, frontier models, agentic applications, platform technologies, software and cloud architecture, APIs, data integration, identity, security, privacy, evaluation, and enterprise deployment. - Bring 10+ years of experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical consulting, including work with large and complex enterprises. - Have 4+ years of people-management experience hiring, coaching, and developing high-performing customer-facing technical teams. - Have guided enterprise organizations from technical discovery and evaluation through production adoption, healthy usage, and measurable business impact. - Demonstrate outstanding executive communication and presentation skills, with the ability to build credibility with CTOs, CIOs, CISOs, boards, business leaders, and hands-on engineers. - Can lead a complex portfolio, make thoughtful resource-allocation decisions, and balance regional strategy with hands-on support for critical customer engagements. - Exercise strong architectural judgment, including knowing when to go deep personally, when to coach the team, when to involve specialists, and how to define clear handoffs and ownership. - Build strong partnerships across Sales, Product, Engineering, Research, Deployment, Customer Engagement, Security, Legal, Privacy, and external partner ecosystems. - Embody a customer-centric philosophy focused on durable value, responsible production adoption, technical excellence, and long-term partnership. - Approach your work with humility, curiosity, a collaborative spirit, and a deep commitment to the safe and beneficial advancement of AI. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Frontier research runs on more than research alone. Behind every model launch, review, and cross-team program is a web of decisions, priorities, and follow-through that keeps hundreds of researchers moving in the same direction. Research Operations owns that work: we bring clarity to ambiguity, provide stability during change, and continually deepen our domain knowledge so that researchers can spend their time on the problems only they can solve. It is one of the highest-leverage functions at Anthropic. We are hiring an experienced operator to embed with the leadership of our reinforcement learning (RL) organization, the team responsible for training Claude to be more capable, more reliable, and more aligned. You will shape what leadership spends its time on, make sure priority decisions reach the right decision-makers and get made quickly, and clear the path so leaders can focus on the work that matters most. You will report to the Manager of Research Operations and work daily with RL org leaders and their teams. Key responsibilities - Own leadership's time. Shape the week around the leaders' specific, most timely priorities, set agendas so meetings are spent on decisions that move the org forward, and cut what isn't critical so leaders stay focused on the areas that are highest-leverage for them. - Triage what reaches leadership. Resolve what you can, route what belongs elsewhere, and thoughtfully escalate the rest. - Enable wise decision-making and follow through. Give leaders what they need to decide quickly, communicate those decisions to collaborators, and track commitments through to completion. - See problems coming. Surface resourcing gaps, technical bottlenecks, and stalled action-items before they become blockers. - Scale leadership voice. Meetings are ephemeral; docs are forever. Draft materials for org-wide announcements, programming, and planning sessions. Protect leadership’s time for creating durable comms that set direction in turbulent times. - Make the org run better. Find the friction that keeps recurring and find the people who can fix the process behind it. - Be a thought partner. Offer honest, candid counsel to leaders, including crisp and kind disagreement. Minimum qualifications - Care deeply about Anthropic's mission and let it underpin all judgment calls you make across the org. - Technical fluency to engage substantively with researchers: you can follow a discussion about an RL training run, read a set of eval results and form reasonable hypotheses about what they mean, and hold your own in a technical conversation. You don't need to have trained a model yourself, but you should understand the model training process and have the depth to work closely with leading researchers. - Clear writing: you turn dense, jargon-heavy material into summaries and plans that technical collaborators across the RL org and beyond can act on - An eye for great dashboards: you can look at data visualizations and scope improvements that make lessons at-a-glance clearer and grounded. - Strong follow-through and attention to detail; nothing falls through the cracks on your watch. - Ability to push back on senior stakeholders to offer strategic guidance as needed, disagree without causing discord, and influence without direct authority. - Comfort with ambiguity and a fast-changing environment; you stay steady when the pace is relentless and the stakes are as high as they can possibly be. - Experience in an operations, chief of staff, program management, or comparable role supporting senior leaders in a fast-moving technical organization - High integrity. This role sits close to decisions that execute on Anthropic’s mission, and you care about getting them right. Preferred qualifications - Experience supporting a senior leader directly in a chief of staff or related function - Time in a research institution, lab, or other research-heavy organization - Track record of anticipating what colleagues and leaders will need and acting on it before being asked - Comfort in an environment where the right answer changes hour to hour - Experience moving routine operational work to AI agents, or the ability to script and build small tools - Familiarity with AI safety or other existential risks. 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: $210,000 - $260,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Job Description About the role Join Anthropic's Customer Success team as an Munich based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across DACH helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their 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 (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, 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. You'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: - Build trusting, strategic relationships with key DACH customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion - Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions - Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer - Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products 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 as the voice of DACH customers - Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment - Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows - 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 - Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic - Build Anthropic's brand and customer relationships as a member of CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures You may be a good fit if you have: - 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar) in region - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns - Experience explaining and demonstrating technical products to various audiences - Strategic mindset to identify growth opportunities and translate them into actionable expansion plans - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Strong project management skills and ability to manage multiple customer relationships - Passion for AI and interest in responsible development of advanced systems - Experience working in and building a growing region, while navigating across time zones with US-based headquarters - A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player - Fluency in German and English Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you’ll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You’ll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You’ll own durability and cost at petabyte scale, from streaming and batch replication between origins to garbage collection over billions of objects. You’ll work across the stack, from local disk and page cache to distributed blob storage and garbage collection, and you’ll help shape what storage becomes next as we push storage closer to workloads. What You’ll Work On: - Build P2P sharing of data across workers within a single datacenter to dramatically reduce ingress - Replicate data across multiple blob storage providers - Automate garbage collection across hundreds of petabytes of data - Deploy colocated storage clusters to datacenters to accelerate high-throughput customer workloads You May Be a Fit If: - You have 5+ years of experience writing high-quality production code - You’ve built high-performance distributed storage or caching systems at a large scale (the more challenges you’ve worked through, the better) - You have strong cloud skills, including deep familiarity with object storage (S3 or similar), CDNs, and their consistency, throughput, and cost characteristics - You have strong knowledge of low-level operating system foundations (Linux kernel, file systems, page cache, containers, etc.) - You’re willing to step into the thick of it with our on-call rotation and respond to production incidents Nice-to-Have: - Experience with replication, content addressing, and consistency models in multi-region or multi-cloud systems - Experience operating storage systems at scale (petabyte-scale datasets, high-throughput read/write paths, large-scale garbage collection or data migration) - Experience with data engineering at petabyte scale - Prior experience with Rust

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. The Role: We’re looking for a Senior Commercial Counsel to join us as the first commercial lawyer at Modal. This is a high-impact role for someone who wants to draft and negotiate a wide variety of commercial agreements and build the templates, playbooks, and positions that guide our operations. You’ll report to our General Counsel and collaborate closely with the Sales, BizOps, Finance, and Engineering teams and help build the foundation for a small but growing legal team. What You’ll Work On: - Own customer contracting, including MSAs, service orders, NDAs, DPAs, and BAAs, negotiating directly with customers and partnering with the Sales team throughout the full deal cycle - Lead vendor-side contracting, including capex procurement, SaaS tools, and consulting arrangements, among others - Build and maintain contract repositories, template libraries, and contract playbooks - Partner with Legal Operations on our CLM, including approval workflows and escalation logic - Review and revise operational policies (terms of service, privacy policy, acceptable use, and website terms) and customer-facing marketing materials You May Be a Fit If: - You have approximately 5-10 years of combined law firm and in-house experience negotiating commercial technology agreements, with meaningful time supporting an enterprise sales motion - You have a JD and active bar membership in good standing in New York or California - You’re deeply familiar with SaaS contracting - You’ve worked extensively within Ironclad or a similar CLM - You can build templates and playbooks from scratch - You have working knowledge of privacy and regulatory data protection frameworks, such as GDPR and HIPAA - You have sound commercial judgment and know how to balance risk with the business needs of a high-growth tech company Nice-to-Have: - Experience with infrastructure, compute, or datacenter supply agreements

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. The Role: We’re looking for a hands-on Global Workplace Lead to own workplace experience across all Modal offices. You’ll manage our Workplace Experience team and set the tone for the day-to-day operations, programs, and physical environments that make each location thrive. You care as much about how a space feels as about how it functions, and bring the same taste and judgment to our offices that we bring to our product. You’ll develop a deep understanding of what each office actually needs, and build trusted relationships with local leads and cross-functional partners across the organization. What You’ll Work On: - Manage and develop a team of workplace services professionals, setting direction, coaching performance, and building a high-functioning team - Own operational quality across every office by tracking service levels and space utilization, spotting patterns, and fixing the underlying causes of recurring problems - Stay ahead of what the business needs next by keeping a pulse on both local realities and company-wide priorities - Build the global budget and vendor strategy for workplace experience, and hold contractors and service providers accountable to clear performance expectations - Guide workplace experience through major transitions, including new office openings and relocations - Shape how Modal’s brand and culture show up physically, bringing the same clarity, craft, and attention to detail to our spaces that we bring to our product - Synthesize data, stakeholder input, and business context into recommendations for continuous improvement You May Be a Fit If: - You have 5+ years in workplace, facilities, or office operations, ideally at a high-growth tech company where you built programs rather than inherited them - You have 2+ years of people management, including leading team members through office moves or openings - You’ve overseen workplace operations across multiple offices, ideally in more than one country - You have strong taste and judgment, with an instinct for what looks and feels like Modal - You have a clear willingness to take a hands-on approach and dive into the details - You can influence cross-functional partners and translate company strategy into effective local execution - You thrive in a fast-paced workplace with rapidly changing priorities - You’re excited to be in an in-office role, collaborating with team members IRL - You’re willing and able to travel to Modal offices globally

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 Applied AI Engineer at Anthropic, you will be a trusted technical advisor helping tech-forward companies build on the Claude Developer Platform as they grow and scale. You'll lead deep technical engagements, partnering directly with engineering teams to help them develop their products on top of Claude - advising on implementation, agent design, and working alongside them to build at the frontier of AI. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide customers through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable tech-forward businesses to succeed with Claude. Responsibilities - Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI - Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development - Develop prototypes and technical documentation—including evaluation suites, AI engineering techniques, and architecture diagrams—that enable customers to build and scale with Claude - Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements - Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team - Create technical content for developer audiences including documentation, tutorials, and sample code - Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events - Travel to customer sites for workshops, implementation support, and relationship building You may be a good fit if you have - 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder - Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions - Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale - Strong programming skills with proficiency in Python and experience building production applications - Experience working with high-growth, tech-forward companies - Ability to context-switch across industries (healthcare, fintech, etc.) and use cases - Builder credibility that earns trust with technical founders and engineering leaders - you've shipped products and can speak from experience - Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans - Experience facilitating technical workshops, hackathons, or developer-focused events - Passion for making powerful technology 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: £225,000 - £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About 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 GTM Engineering: GTM Engineering is responsible for the data, business logic, workflows, and agents that enable our Marketing and Sales teams to help customers get the most out of Modal. Like the infrastructure beneath the Magic Kingdom , much of our work happens behind the scenes. We build systems that anticipate and deliver what customers need to grow on Modal. We bring a product management, growth engineering, and data science approach to GTM, from centralizing our data platform to building agents for account research . The Role: We’re looking for a GTM Engineer to own our GTM data platform. This role combines analytics engineering with revenue operations: you’ll build the org map, people graph, and data systems that help us discover future customers and support our GTM workflows, partnering closely with our Data team on the shared foundation. What You’ll Work On: - Build and maintain an org map and people graph connecting companies, labs, teams, and individuals to identify researchers, engineers, and early-stage startups, including people beyond our existing users and CRM - Own identity resolution, enrichment, and CRM schemas so affiliations, roles, and relationships stay accurate, current, and traceable to their sources - Build GTM data models in Snowflake and dbt connecting people, companies, workspaces, workloads, usage, and revenue, giving reps and agents a shared foundation for customer context - Partner with RevOps and Marketing to define and implement metrics, data models, and business rules for routing, territory assignments, compensation, pipeline reporting, and attribution - Partner with Data on usage forecasts and account signals; build reproducible reporting that reconciles actuals, forecasts, human adjustments, and credited attainment - Build reverse ETL pipelines for ad audiences, lifecycle campaigns, CRM enrichment, outbound, and event outreach, preserving engagement history and campaign eligibility - Own data quality and system health, from graph coverage and stale enrichment to failed syncs and historical reporting accuracy - Build the tooling that helps GTM Engineering ship reliably, from development environments, automated tests, and deployments to backups and shared AI agents and skills You May Be a Fit If: - You’re fluent in SQL and proficient in Python - You already use AI coding tools and agents to build, debug, and automate your work, and help teammates do the same - You’ve built data models and production pipelines with tools like Snowflake, dbt, Modal, or Hex - You have hands-on experience with CRM architecture, integrations, and revenue or marketing operations - You understand how leads, accounts, opportunities, and revenue move through a business - You have high attention to detail and a habit of testing, documenting, and monitoring the systems you build Nice-to-Have: - Experience with usage-based businesses

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on. THE ROLE You will build our Kubernetes product end to end: a metal-to-on-demand platform built on in-house infrastructure, with GPU support for training, inference, and general-purpose compute. Kubernetes is our product, not just our platform — we run it on infrastructure we own end to end. You will decide how the control plane scales, how GPUs get scheduled, and how quickly a rack of bare metal becomes an on-demand cluster a customer can use. The decisions you make here shape how our infrastructure scales from today's footprint to a gigawatt, and how we turn frontier AI research into production systems used by millions. WHAT YOU WILL DO - Design and ship the control plane. You own the architecture and the hardest implementation decisions — scheduling, operators, provisioning, node lifecycle. - Own the reliability of the Kubernetes control plane. It is the team's headline KPI. You make the calls when it breaks at 3am. - Shrink the distance from metal to on-demand. Provisioning a cluster should be minutes of automation, not weeks of tickets. - Partner with Product Managers to set priorities, scope initiatives, and make the technical and business tradeoffs. - Raise the engineering bar through code review and knowledge sharing across the Cloud Platform org. WHAT WE'RE LOOKING FOR - You have shipped production systems in Go. Not dabbled. Shipped. - You have run Kubernetes in anger — and ideally built parts of it: operators, schedulers, controllers. You understand what happens underneath it, and you have worked on Linux directly, not just on managed services that sit on top of it. - You have run GPU workloads on Kubernetes, or you are confident you can own that domain fast. - You think like a developer who happens to build infrastructure, not an operator who manages it. You write code other engineers depend on. - Extensive experience building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the Role We are seeking an experienced Commercial Counsel to join our US commercial team. In this role, you will support complex commercial transactions across North America, including SaaS, licensing, and strategic partnerships, while helping the company navigate diverse legal and regulatory frameworks in the rapidly evolving field of artificial intelligence. You will work closely with global colleagues to provide practical, business-oriented advice that enables growth while managing risk across multiple jurisdictions. Responsibilities - Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in North America, including enterprise customer contracts - Partner with sales, business development, and operations teams to design and implement strategies that support high-growth go-to-market initiatives. - Monitor and interpret evolving legal and regulatory developments, including data protection, technology, and AI-related frameworks, and apply this knowledge to contract drafting and risk assessment. - Develop, maintain, and localize contract templates, playbooks, and policies to reflect regional requirements and industry best practices. - Provide clear, pragmatic, and commercially focused legal advice to cross-functional teams, tailoring advice to enable responsible growth and innovation. - Contribute to scaling the Legal Team’s commercial function, fostering a collaborative, solutions-oriented team culture. Who you are - Curious about the future of AI and emerging technologies, have a strong sense of ownership with enthusiasm for applying your legal expertise to cutting-edge products. - Experienced in navigating fast-paced, high-growth environments, with the ability to manage ambiguity and make informed, timely decisions. - Comfortable working independently while collaborating effectively with cross-functional and global colleagues. - Proactive, business-minded, and committed to delivering practical solutions that support both compliance and commercial success. What you bring - J.D. and active membership in at least one U.S. State Bar (NY or CA preferred) - 6+ years of relevant post-qualification legal experience (in-house experience in technology or SaaS strongly preferred). - Proven track record drafting and negotiating complex commercial and technology agreements. - Strong knowledge of enterprise software licensing, SaaS, data protection, and intellectual property. - Experience advising on privacy, cybersecurity, and cross-border data transfer issues. - Excellent communication, stakeholder management, and problem-solving skills. - Comfort in fast-paced environments with shifting priorities and tight deadlines - Prior experience with heavily regulated industries is a plus Location This role is remote and can be executed in the United States, with a preference for New York or San Francisco. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a Recruiter to partner with our Communications team. This team tells Anthropic's story across corporate, product, executive, and internal communications. In this role, you will be the team's primary recruiter. You will own searches from intake through offer, and you will advise leaders on where the talent is, what it costs, and how to win it. The best communicators are rarely looking, so finding them is the job. As the team grows, you may also support hiring for Brand and Marketing. Key responsibilities - Have a passion for AI's potential to positively impact the world, and a realistic view of its risks and limitations - Have recruited for communications, PR or adjacent roles, and understand what great looks like in that craft - Know how to find and engage candidates who are passive through a variety of creative channels - Build trust with senior leaders, and have the confidence to push back with data - Write clearly and pay close attention to detail, because candidates and comms leaders will notice both - Run a tight, high-touch process that respects candidates' time and helps hiring managers decide quickly - Turn hiring data into clear recommendations, not just status updates - Thrive in a fast-paced environment and handle executive and confidential searches with discretion Preferred qualifications - Have 10+ years of full-lifecycle recruiting experience, with a track record of closing senior, hard-to-fill roles - Experience hiring for a high-growth technology company whose public narrative matters - A network across media, agency, and in-house communications talent - Experience supporting executive hiring - Experience using AI tools in your daily work, and are curious about where they can take recruiting next The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's People Legal team is looking for a Lead Employment Counsel to build the legal foundation for our growing workforce across Asia-Pacific. You'll partner closely with our People team and business leaders to design and run employment programs in the region that help our people do their best work. This role pairs deep employment law expertise with pragmatism and creativity. You'll build structures that manage legal risk across several APAC countries today and that will hold up as our presence in the region scales. You'll also help colleagues around the world understand how local requirements shape the way we hire, manage, and support people in APAC. Key responsibilities - Serve as the primary employment lawyer for Anthropic's APAC region, partnering with People and business leaders across People programs, policies and day-to-day issues - Build and maintain the legal infrastructure for new and existing APAC jurisdictions, including Japan, South Korea, Australia, Singapore and India - Advise on market entry and workforce structuring, including acquisitions, employer of record arrangements, contractor classification, and headcount thresholds that trigger local obligations - Partner with Compensation, Benefits, and Equity teams so that global programs are compliant and scalable - Guide employee relations matters, including workplace investigations, in line with local law and practice - Develop and manage strategy on employment disputes across the region, from pre-litigation claims through tribunal and court proceedings, in partnership with outside counsel - Track legislative and regulatory developments across the region, including employee data privacy and emerging rules on AI in employment, and turn them into practical guidance - Develop scalable templates, playbooks, and training that enable stakeholders to operate compliantly Minimum qualifications - Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based - Have deep subject-matter expertise on employment law across multiple APAC countries - Write clearly and concisely, and can provide actionable guidance to non-lawyers - Balance legal risk with business practicality, and work collaboratively with legal and business cross-functional partners - Work effectively with colleagues and stakeholders across multiple time zones Preferred qualifications - At least 12+ years of relevant employment legal experience across law firms and in-house, with demonstrated experience supporting companies through rapid growth - Experience advising People and business teams on the practical application of employment laws in Japan, South Korea, India, Australia, and Singapore - Creative and pragmatic in your approach to developing legal solutions to business problems - Working knowledge of employee data privacy requirements across the region Role-specific policy: For this role, we expect all staff to be able to work from our Sydney office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Senior Account Executive - Technology Why this role? In this role, you will have ownership of the full sales cycle - from identifying leads to closing deals with Global 2000, large enterprises within the Technology sector. We're looking for an approachable and compelling communicator who loves working with prospects to uncover their needs and feels comfortable developing tailored value propositions around how Cohere's platform can help them achieve their business goals. You'll lay the foundation for Cohere's growth by owning your territory and collaborating with teammates across customer success, sales development, marketing, and solution architecture. You'll be the voice of the field and help our product and engineering teams prioritize the Cohere roadmap with customer-centric care. It's a highly self-directed role, so you should be someone who thrives in an unstructured and quickly evolving environment. And your opportunity for impact will be astronomical — Cohere has skies-the-limit potential, and you'll help us reach it. As an Account Executive focused on the Technology sector you will: - Focus on net-new logo acquisition via outbound activity and relationship building with key stakeholders while also bringing a strong network of key decision-maker and influencer contacts and relationships in the vertical to accelerate engagements, drive strategic partnerships and win sales opportunities - Work closely with customers and prospects as a consultative, trusted advisor who deeply understands their challenges and goals, their technology ecosystem, and will tailor solutions to drive measurable impact for their businesses - Work in close partnership with channel partners to find opportunities to scale outreach and customer satisfaction in your region - Collaborate with product and engineering teams as well as customer success on strategic motions to deliver solutions to large enterprise customers - Collaborate with Sales Development Representatives to drive top of funnel activity - Own the full sales cycle – from initial outreach through proof-of-concept, deal close, and deployment; this is not a transactional sale that you can walk away from after the contract is signed but rather requires ongoing oversight of the project to ensure success You may be a good fit if you have: - 8-12+ years of previous B2B sales experience with Global 2000, large enterprises in the Technology sector, negotiating and closing transformational multi-year (2-5 year) SaaS deals in the 7 figure range, and a track record of high performance and exceeding quota - Previous experience as a technical consultative salesperson, selling complex products, such as developer tools, API products, or AI / NLP solutions, are a plus, with a focus on applications in the Financial Services sector - Previous experience working with customers during the deployment phase of the engagement, aligning on how best to configure and customize the solution that supports success in production and builds trust to set up for expansion and growth - Previous experience working with channel partners such as cloud hyperscalers and system integrators to drive sales cycles and hit shared revenue goals - High tolerance for ambiguity - as an early sales hire, you'll have to be a self-starter, doer and a strategist who is capable of wearing many hats and doing what it takes to figure out a path to success - Curiosity - you want to go deep on NLP and become an expert on our technology while considering how to fit into a large organization's technology landscape with a focus on its applications in the Financial Services sectors - Fantastic communication skills - you are a great listener, have a knack for understanding what matters most to others, build strong relationships, can speak to the c-suite, and feel comfortable speaking to both technical and non-technical audiences in the Financial Services sector Additional Requirements: - Deep understanding of the Technology industry, including key trends, challenges, and opportunities - Ability to articulate the value of AI and NLP solutions in the context of Financial Services operations. Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

About 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 Podcast Media Manager at Anthropic, you will own how Claude shows up in podcasts, one of our most important channels for reaching professionals and knowledge workers. This is not a traditional media buying role. We're looking for someone to build a refreshed, proactive podcast strategy: securing the right shows before they're obvious, going beyond standard ad reads, and creating unique partnerships that fully integrate our product into shows in ways no other brand is doing. In this role, you'll own our podcast program end to end, from annual strategy and show selection through network buys, scripts, pacing, and reporting across 100+ shows. You'll sit on the influencer marketing team and partner closely with growth marketing on performance goals and in-house campaigns, brand marketing on major campaign flights, enterprise marketing on B2B buys and scripts, creative and copy teams on reads and refreshes, comms teams on messaging and media buying teams/agencies on execution. Key responsibilities - Own podcast strategy for Anthropic, setting where we show up instead of reacting to inbound pitches - Lead podcast strategy flights for major campaigns end to end, from planning through reporting - Manage network buys across major audio publishers including Spotify, Amazon, NYT, and others - Develop year-long buys with top shows and media outlets, identifying and pitching partners before they come to us - Build partnership packages that go beyond ad reads to include bonus episodes, video, live events, and social - Partner with creative and copy teams as their main point of contact on podcast work, establishing a repeatable process for scripts and copy points - Manage voice-actor reads and QA spots before they air - Develop a refresh cadence for reads so messaging stays current across 100+ shows, tailored to each show's audience - Manage agency relationships, pushing partners to deliver the best rates, placements, and ideas - Track pacing across buys and shift budget as performance data comes in - Present results and learnings back to the team on a regular basis - Partner with growth, brand, and enterprise marketing to align podcast plans with performance goals, campaign flights, and B2B objectives Minimum qualifications - Have deep experience in podcast media buying at a tech or consumer company with a substantial podcast budget - Have managed podcast programs in-house directly, not only through an agency - Have run both agency partnerships and in-house podcast programs, and know how to get the best work out of each - Are skilled at managing and pushing media agencies to secure strong rates, placements, and ideas - Can spot up-and-coming shows before they're obvious and back your picks with a clear rationale - Bring creative ideas that go beyond the standard ad read, from bonus episodes to live events to product integrations - Are comfortable owning the details of execution, including scripts, QA, pacing, and reporting, alongside long-range strategy - Work well across many partner teams and can build repeatable processes that scale - Enjoy shaping a program from the ground up rather than maintaining an existing playbook - Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - Experience negotiating year-long or multi-format partnerships with top shows or networks - A background in copywriting or close collaboration with creative teams on host-read scripts - Familiarity with B2B audiences and enterprise-focused podcast buys - Experience with podcast measurement, attribution, and incrementality testing - Relationships with major audio publishers, networks, and independent hosts - Experience extending podcast partnerships into video, social, or live formats - Familiarity with AI products or the broader developer and knowledge worker audience 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 - $255,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About the role We’re looking for a Manager, Applied AI Architect to lead a team of Applied AI Architects. In this role, you’ll combine technical leadership, customer engagement, and team development to deliver exceptional customer experiences from pre-sales discovery and solution evaluation through deployment and adoption, driving real business impact. You’ll guide your team through complex customer challenges, help them navigate ambiguity, and ensure solutions are grounded in both strong technical thinking and clear business value. You’ll also partner closely with Sales, Deployment, Product, Engineering, and Research to create a seamless end-to-end customer journey. This role is open in our San Francisco or New York office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Develop and communicate a clear strategic vision for the Applied AI Architect team, ensuring alignment with the company's overarching goals and the evolving needs of our customers. - Guide and support a multifaceted team throughout the customer lifecycle, from pre-sales discovery and evaluation through deployment and adoption, ensuring clear technical account plans, measurable customer outcomes, and scalable systems and processes. - Act as a trusted escalation point for key customers within your sales segment, helping to address complex technical challenges and ensuring clear communication with executive-level stakeholders. - Advocate for the innovative and effective application of our AI technologies across various sectors, positioning the company as a leader in the industry. - Ensure your team remains accountable for technical progress and customer outcomes, coordinating specialist support and establishing clear ownership with delivery teams for implementation execution. You’ll thrive in this role if you: - Bring 8+ years of experience in technical customer-facing roles, building and managing C-level technical and business relationships within complex, global organizations. - Have 3+ years of experience leading technical pre-sales teams, with a proven track record of hiring, mentoring, and managing high-performing teams. - Have successfully led complex sales involving Generative AI or traditional ML solutions, with a solid understanding of network and cloud architectures. - Have a humble attitude, an eagerness to help others, and a willingness to learn whatever it takes to support the team and help customers thrive - Approach work with humility, a collaborative mindset, and a willingness to learn whatever it takes to support the team and help customers thrive. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Us: 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. The Role: We’re looking for a Legal Operations Lead to join us as the first dedicated legal operations hire at Modal. You’ll own the systems, records, and workflows that let a small legal team keep pace with a high-growth tech company, and you’ll have an opportunity to build most of them from scratch. This is a great fit for a highly organized, systems-oriented operator who thrives in a fast-paced environment and wants to build operational foundations, not just maintain them. You’ll report to our General Counsel and collaborate closely with the Finance, BizOps, GTM, and People teams. What You’ll Work On: - Build and maintain contract operations, including designing the contract lifecycle management workflows and approval logic, and continuing to iterate and improve those processes - Design a legal intake process to support and route legal requests from internal stakeholders - Make the legal function faster with AI, and build and configure tooling to make us more efficient - Manage corporate administration and record-keeping, including Board and stockholder matters, signature coordination, and building a knowledge management system and database - Be the point person for corporate compliance, including entity management, foreign and domestic qualifications and filings, and coordination with registered agents - Support stock administration and cap table hygiene - Manage outside counsel and legal spend You May Be a Fit If: - You have 5+ years in legal operations, contract operations, or a corporate paralegal role, preferably at a high-growth technology company - You’ve built and documented processes from the ground up, not just executed existing ones - You have experience configuring workflows and templates within Ironclad or a similar CLM - You have experience with AI tools and good instincts about where they help and where they quietly introduce risk - You have sound judgment about what to handle and what to escalate Nice-to-Have: - Exposure to corporate and equity administration - Familiarity with Carta or a similar equity administration platform

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on. THE ROLE AI agents don't run in browsers. They run in sandboxes — and you will build ours. We build secure, isolated, network-controlled environments with snapshotting primitives, designed for AI agents and reinforcement-learning workloads. An RL training run doesn't need one environment; it needs thousands, created and destroyed every second. An agent needs to be sandboxed from the world while still feeling fast enough to be useful. That tension — airtight isolation, at fleet scale, at low latency — is the product. Your customers are the people building the next generation of AI software on our infrastructure; the primitives you ship become the runtime their agents live in. WHAT YOU WILL DO - Build the isolation layer: microVMs or containers, namespaces, cgroups, seccomp, snapshot and restore. - Own the security boundary. Customers run code they didn't write and can't fully trust — your systems make that safe. - Scale to fleets: creation latency, density, and lifecycle management for thousands of concurrent environments. - Write Go and own the architecture and the hardest implementation decisions. - Partner with Product Managers to turn frontier research needs into shippable primitives. WHAT WE'RE LOOKING FOR - Deep Linux internals: namespaces, cgroups, seccomp, virtualization — ideally microVMs of the Firecracker class. - You have shipped production systems in Go. Not dabbled. Shipped. - You understand network isolation at the packet level — not just firewall rules. - Performance instincts: you know what a syscall costs, and you have the profiles to prove you've cared. - 5+ years building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About 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 Design at Anthropic sits at the intersection of craft, research, and product intuition. Design systems is a growing team working on products that millions of people use daily, and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We care deeply about the details that make something feel polished, trustworthy and human. We ship fast and learn in the open. We'd rather get something in front of users and iterate than wait for perfection. The Design Systems team exists to define and elevate the language of our UI and core interactions. Every Claude product, from claude.ai to Claude Code, shares one system, including the guidance Claude itself follows when it generates UI. You would be joining an early-stage team, working with design engineers and product designers across the company. You may be a good fit if you: - Are as comfortable designing on canvas tools as you are building and prototyping within the product, and prefer to ship in days, not months. - Have worked on design systems that balance simplicity with creative flair to produce beautiful products out of the box. - Care about the smallest details as much as the big picture, from a pixel to how the whole app fits together. - Make the people around you better through sharp, kind feedback and low ego. - Get up to speed quickly and can make an impact on projects already in motion. Key responsibilities - Design and evolve the system, from foundations (colour, type, spacing, icons, tokens, theming) to components like menus, dialogs, sidebars and the chat composer. - Design the expressive layer as a system, not one-offs: motion, illustration and icons that are brand and system at once. - Make the system legible to Claude as well as people: the guidance, metadata and evals that show whether Claude uses it correctly. - Partner with product teams: help designers and engineers apply the system well, and feed recurring gaps back into the system. - Prototype in code and ship: land changes in the design-system package alongside engineers, using Claude Code in your own practice. Minimum qualifications - Strong visual and interaction craft. - Experience building or working on a design system. - Experience with design tokens, theming and accessibility standards. - Fluency in whichever tool gets an idea across fastest, from Figma to code. Preferred qualifications - Experience building products at the highest level of craft. - Has shipped voice or other beyond-the-screen work, with native mobile instincts. - Has designed an icon set, illustration style or motion system used across products. - Experience defining evals, lint rules or automated checks for UI quality. - 8+ years of product design experience. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Safeguards Enforcement team detects and mitigates misuse of Claude, and much of that work depends on people: a growing human review workforce made up of full-time staff, contractors, vendors and BPO partners. As that workforce scales across a widening range of harm areas, the programs that bring people in, give them the right access, and roll them off cleanly have to keep pace. As Program Manager for Safeguards Workforce Operations, you’ll own those programs end to end. You’ll run onboarding, offboarding, device provisioning and access provisioning for every worker type we use, working hands-on with the requests themselves while you build the processes that make them repeatable. You’ll partner with Enforcement leads to turn shifting priorities into capacity plans, and carry those plans through with our vendor partners. Because this role supports every Safeguards Enforcement program, you’ll also connect the dots across Anthropic, working with IT, People Operations, Security, Contingent Workforce, Human Data Operations and other teams running scaled human review to streamline practices and keep standards consistent. This is a role for someone who likes fixing broken things at speed. The landscape moves quickly, priorities change often, and the work is an even mix of direct execution and program building. Key responsibilities - Own the workforce lifecycle for contractor, vendor and BPO reviewers: onboarding, offboarding, device provisioning and access provisioning - Triage and execute inbound requests for new or changing vendor, BPO and contractor capacity - Turn ad hoc or broken processes into scalable ones, with clear owners, service levels and a system of record - Partner with IT and Security on access governance: least-privilege provisioning, timely revocation and regular access reviews - Build and maintain capacity plans with Enforcement leads, translating review demand into workforce needs and adjusting as priorities shift - Work with Safeguards vendor management to hold partners accountable to capacity and onboarding commitments - Align practices with Human Data Operations and other teams running scaled human review, and help them streamline their own workflows - Help define the long-term workforce strategy for Safeguards Enforcement Minimum qualifications - Have personally run onboarding, offboarding, access and device provisioning for contractor, vendor or BPO workforces — doing the work, not only overseeing it - Have operated scaled human review programs with vendors or BPOs, such as trust & safety, content moderation or data annotation operations - Have taken a broken or ad hoc process, made it scalable, and brought other teams along in adopting it - Understand the fundamentals of capacity planning: how volume, handle time, quality targets, ramp and attrition turn into workforce needs - Exercise sound judgment on access and permissions, and know when to bring in IT or Security - Move quickly and stay effective when priorities change and information is incomplete - Build alignment through direct partnership with the teams you depend on Preferred qualifications - Owned a vendor or BPO relationship directly, including service levels and business reviews - Built formal capacity models for review or operations workforces - Supported workforces across more than one enforcement or harm area - Hands-on experience with device management and identity and access tooling - Worked through a period of hypergrowth where programs had to mature alongside the organization 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.

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 Procurement Operations is the front door for buying at Anthropic. We sit inside Finance Operations and own the path from “I need to buy something” to a signed agreement, an accurate purchase order, and clean spend data at month end. We are hiring a Procurement Operations Business Partner to own that path for our technology spend: business applications, SaaS tools, cloud and infrastructure services, and the engineering and developer tools our teams build with. This portfolio is software heavy: new tools evaluated and onboarded regularly, licenses that renew on their own schedule, and vendors billed on seats, usage, or tiered subscription terms rather than a single invoice. You will be the person who makes buying software feel simple to the teams who depend on it and reliable to the Finance stakeholders behind it. This is a high-volume role with an accounting core. You ensure every software purchase in your portfolio is coded, dated, received, and accrued correctly, so spend is right in the books every month. Expect a steady queue of new tool requests, renewals, and license changes, and expect to be the person Accounting trusts on all of it. We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native procurement operations function looks like, including how AI changes intake, contract and security review, vendor coordination, and requester support. Responsibilities Own the purchasing process - Manage a high volume of purchase requests, renewals, and license changes each month across the organization, keeping speed and accuracy high at the same time. - Serve as the primary procurement partner for the teams buying in your categories, guiding requesters from initial request to signed agreement and issued purchase order. - Review every purchase request in your portfolio for the things that matter downstream: the right vendor record and contracting entity, complete commercial documents, correct spend categorization and service dates, and the approvals the purchase actually needs. - Determine what else each request requires before it can move, whether that is an order form, a data privacy review, or a third party risk assessment, and route it to the right reviewers the first time. - Partner with Security to run a vendor security review on every new tool and at every renewal, and hold the line that nothing goes live without one. - Launch and track contract review with Legal, keep it moving, and confirm the executed agreement supports the purchase order before it is issued. - Structure purchase orders so they match how the vendor bills (seat-based, usage-based, tiered subscription, or flat annual fee) and how Accounting needs to see the spend, with the right GL account, cost center, and service period on every line. Manage renewals, true ups, and seat count changes over the life of each agreement. - Track license counts and renewal dates across your portfolio so nothing auto-renews or lapses by surprise, and flag underused or overlapping tools to budget owners ahead of the next renewal cycle. Financial completeness and accuracy - Code every purchase order correctly at creation, including GL account, spend category, cost center, and service period, and understand how each choice lands in the financials (expense versus prepaid, annual versus monthly recognition). - Work the hard cases with Accounting: multi year subscriptions paid upfront, mid term seat additions, true ups, credits, and contracts amended mid cycle. - Own the open purchase order book: receipts recorded against actual delivery, periodic reviews, stale line cleanup, coding corrections, and timely closures, so PO, receipt, and invoice agree. - Serve as the first line reviewer for month-end accruals on your portfolio, gathering estimates from vendors and budget owners for variable spend and confirming or correcting proposed amounts so Accounting can close on time. - Partner with Accounts Payable to resolve invoice holds, PO mismatches, and receiving questions so vendors are paid on time and spend lands where it belongs. - Support audit and reporting requests that touch your portfolio, including commitment schedules and control evidence, with data you can stand behind. Be the front door - Be visible and responsive in your teams' Slack channels and office hours; answer routine purchasing questions quickly and escalate real blockers with context. - Apply purchasing policy consistently and explain the why, including approval thresholds, signature authority, and when an exception is and is not available. - Translate procurement, legal, security, and finance requirements into plain language for engineers, IT, and business stakeholders, and carry their operating reality back to those teams so controls fit the work. - Keep a regular check in with your highest volume teams so upcoming purchases and renewals are visible early and nothing urgent arrives as a surprise. Continuous improvement - Maintain the playbooks, intake guidance, and standard operating procedures for your portfolio so the path is repeatable and does not live in one person's head. - Identify manual steps, repeat questions, and failure points and fix them, including where Claude and workflow automation with AI can take work off requesters and the team. Minimum qualifications - Proven track record of owning a high-volume purchasing portfolio end-to-end in a procure-to-pay and intake platform. - Solid working knowledge of accrual accounting as it applies to purchasing: accruals and reversals, service period and cutoff, prepaid versus expense, and GL and cost center coding. You can explain how a purchase order becomes an entry in the general ledger. - Experience buying and managing software or SaaS at scale, including seat-based, usage-based, and tiered subscription billing models. - Experience owning the tool and vendor lifecycle end to end, from intake through security review, contracting, renewal, and sunset, with the judgment to know when to push a request through and when to slow it down. Preferred qualifications - 7+ years of procurement operations, purchasing, or vendor operations, including time supporting IT, engineering, or business systems teams. - Background in accounting, accounts payable, or a month-end close process. - Direct experience with Zip, Workday Financials, and Ironclad. - Prior ownership of month-end accrual review or open PO reconciliation for a large, variable spend portfolio. - Experience with software asset management or license optimization, including identifying underused or redundant tools. - Experience designing tiered intake or approval frameworks that sped up low risk purchases without weakening controls. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About the Team The Plugin Developer Platform team builds the APIs, SDKs, and tools that let people extend ChatGPT and Codex. We work on plugins, connectors, the Model Context Protocol (MCP), and interactive apps. We want anyone to be able to turn a useful workflow into a plugin, share it, and have other people use it. A plugin can package instructions and skills with connections to the tools and data it needs. Our work covers plugin creation and publishing, the systems that run plugins across our products, and open standards that developers can build on. About the Role We’re looking for an experienced Android engineer to bring plugins, connectors, and interactive apps to life on mobile. You’ll build the Android experiences and platform foundations that help developers extend ChatGPT and help users discover and use those capabilities from their devices. You’ll work across native Android interfaces, developer-facing APIs, and the systems that support extensibility on mobile. You’ll collaborate closely with product, design, and platform engineers, owning features from early exploration through implementation, launch, and iteration. You’ll also engage directly with developers and partners to understand how their workflows translate to Android. Their experience will inform the interfaces and abstractions you build, the problems you prioritize, and the tradeoffs you make. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Build Android experiences for plugins, connectors, and interactive apps within ChatGPT. - Develop reusable Android components and interfaces that support a growing ecosystem of developer-built experiences. - Partner with platform engineers to connect native mobile experiences with APIs, SDKs, and backend systems. - Work with developers and partners to identify integration challenges and improve the experience of building for mobile. - Improve app performance, reliability, architecture, testing, and developer tooling. - Own projects from initial requirements through release, measurement, and iteration. You might thrive in this role if you: - Have deep experience building Android applications using Kotlin and modern Android development frameworks. - Have shipped consumer-facing mobile products at scale and care deeply about performance, quality, and user experience. - Bring a platform mindset and enjoy designing reusable interfaces and abstractions that other developers build on. - Enjoy collaborating across engineering, product, and design, and working directly with developers and partners. - Are excited about bringing AI-powered tools and extensible experiences to mobile. - Thrive in fast-moving environments where you help define both product and technical direction. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role As Strategic Finance & Operations Lead, you'll sit at the intersection of revenue, go-to-market, and financial strategy — owning the financial models, pricing frameworks, and operational processes that power Fireworks' commercial engine. This is a high-visibility, high-ownership role that works directly with Sales, Marketing, Product, and Engineering leaders to drive deals forward and help the business scale intelligently. If you love turning ambiguity into structured frameworks and enjoy being the finance partner who actually accelerates revenue (not just reports on it) — this is your role. Key Responsibilities - Build dynamic financial and operating models to evaluate new sales strategies and pricing models, accelerating topline growth while balancing competitiveness with margin health - Work closely with sales team on customer contracts, with cross collaboration with engineering, product, and finance to operationalize and recognize new product offers - Identify and drive opportunities for process automation, bringing structure with a continuous lens of improvement to reduce friction and cycle time - Support Sales leaders with funnel analysis and pipeline visibility for sales-led accounts, turning CRM data into actionable financial insight - Support revenue and demand forecasting, necessary for resource allocation and planning for cross-functional stakeholders across GTM, Engineering, and Product - Assist with capital planning efforts, corporate finance, or investor relations, as needed Who You Are - A structured thinker who moves fast. You can build a rigorous model from scratch and ship it before the week is over. - A cross-functional operator. You're equally comfortable in a product roadmap discussion, a sales deal review, and a finance close meeting — and you know how to earn trust across each. - A business partner, not a scorekeeper. You don't just report what happened; you help shape what happens next. - Detail-obsessed but never lost in the weeds. You hold yourself to a high standard of accuracy and can also zoom out to tell the story behind the numbers. - Comfortable with ambiguity. Fireworks is scaling fast. You'll build processes and frameworks where none currently exist. Qualifications Required - 4+ years of experience in strategic finance, investment banking, or management consulting - Demonstrated experience building financial models from scratch - Strong proficiency in Excel/Google Sheets; experience working with CRM data (Salesforce or equivalent) - Excellent communication skills — able to translate financial analysis into clear recommendations for non-finance audiences - Experience or strong interest in using AI agents and tooling to develop efficient workstreams that deliver high-quality results Preferred - Experience at a high-growth SaaS or infrastructure company; prior exposure to usage-based pricing models is a strong plus - Familiarity with revenue recognition principles and billing systems - Experience designing or administering sales compensation plans - Comfort working with highly technical data and familiarity with SQL / BigQuery to pull and analyze data independently Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Role We are seeking a Director of General Ledger Accounting to lead the general ledger function and own the month-end close process. This role will ensure accurate, timely financial results, oversee accounting processes within NetSuite, and coordinate across all accounting workstreams to deliver a complete and well-controlled close. The ideal candidate combines strong technical accounting knowledge, hands-on NetSuite experience, and the ability to lead teams, resolve complex issues, and improve processes as the business grows. Key Responsibilities - Own the month-end close: Lead monthly, quarterly, and annual GL close activities, including the close calendar, deliverables, dependencies, review procedures, and issue resolution. - Oversee general ledger integrity: Review journal entries, accruals, account reconciliations, and supporting schedules. Ensure balances are accurate, supported, and recorded in the appropriate period. - Coordinate all accounting workstreams: Partner with accounts payable, revenue and accounts receivable, payroll, equity, fixed assets, leases, intercompany, treasury, and tax teams to ensure timely inputs, clear ownership, and consistent accounting treatment. - Lead NetSuite accounting processes: Serve as the accounting lead for NetSuite, partnering with systems teams on workflows, chart of accounts governance, reporting, integrations, and system enhancements. Oversee period-close procedures and controls over GL data. - Review financial results: Lead balance sheet and income statement fluctuation reviews, investigate unusual activity, and communicate key drivers and unresolved issues to accounting leadership and FP&A. - Strengthen controls and documentation: Establish and maintain accounting policies, close procedures, reconciliation standards, and review controls. Drive timely resolution of reconciling items and control deficiencies. - Support financial reporting and audits: Deliver accurate trial balances and supporting schedules, coordinate audit requests across accounting workstreams, and resolve audit findings. - Improve efficiency and scalability: Identify opportunities to automate journal entries, reconciliations, and reporting; reduce manual work; and shorten the close while maintaining accuracy. - Develop the team: Lead and coach the GL accounting team, set clear expectations, balance workloads, and build accountability for quality and deadlines. - Support business changes: Assess the GL and close implications of new entities, transactions, systems, and business initiatives, coordinating implementation across relevant teams. Qualifications - Bachelor’s degree in Accounting or Finance; CPA preferred.. - 10+ years of progressive accounting experience, including 4+ years managing teams and leading the financial close. - Strong knowledge of U.S. GAAP, general ledger accounting, reconciliations, and internal controls. - Hands-on NetSuite experience, including close management, financial reporting, and accounting process improvements. - Demonstrated ability to coordinate multiple accounting workstreams, manage dependencies, and resolve issues under tight deadlines. - Strong analytical, organizational, and communication skills, with the ability to explain accounting issues clearly to finance and business partners. - Experience with multi-entity accounting, intercompany transactions, and consolidation preferred. What Success Looks Like A predictable, timely close; accurate and well-supported GL balances; clear accountability across accounting workstreams; effective use of NetSuite; and a team that continually improves the quality and efficiency of financial reporting. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced public opinion researcher to build and expand Anthropic's in-house polling and research function. This role will be fundamental to understanding how key audiences — from policymakers and third-party groups to the general public — perceive and respond to Anthropic's policy positions, messages, and campaigns. This is a foundational role: you'll establish the research function from the ground up, with high autonomy and limited precedent. The Central Policy team sits at the operational heart of Anthropic's policy function — distinct from government relations and communications, but essential to enabling both. You'll work cross-functionally to ensure our policy and communications strategy is grounded in a rigorous understanding of stakeholder sentiment. The polling insights you generate will directly feed into high-visibility campaigns and will be a key asset in our policy efforts in Washington and beyond. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about the safe development of AI systems and build partnerships with governments through proactive, opinionated, substantive policy conversations. This role offers a unique opportunity to be at the forefront of AI policy, bringing rigorous research discipline to policy strategy. Success in this role means establishing trusted relationships with leading polling firms around the world, delivering high-quality research on a regular cadence, and becoming the internal expert on how key audiences perceive AI, Anthropic, and Anthropic's positions and messages. You'll translate polling insights into strategic recommendations that measurably improve campaign effectiveness, and build scalable processes that allow the function to grow efficiently as demand increases. Key responsibilities - Develop a comprehensive strategy for our in-house political research function that aligns with Anthropic's policy goals - Identify, evaluate, and establish relationships with leading research and polling firms, ensuring coverage across demographics, geographies, and political perspectives - Conduct detailed, proactive research to test core messages, policy proposals, and campaign themes, and to evaluate Anthropic's brand perception and performance - Execute rapid-response polling to quickly assess Anthropic's messaging strategy in response to external events, policymaker actions, competitive developments, or emerging opportunities - Work with external affairs colleagues (federal, state, and international) and policy communications to identify research priorities, interpret findings, and translate insights into actionable strategic recommendations - Develop and maintain a knowledge management system for polling data, insights, and recommendations that ensures findings are accessible and actionable - Manage polling vendors at scale, including vendor performance management - Participate in strategy sessions and provide thought partnership on the design of messages, policy proposals, and campaigns ahead of polling and testing - Create clear, compelling deliverables that distill polling findings into insights and recommendations - Identify opportunities to build and scale the polling function over time, including staffing needs, process improvements, and capability expansion - Track and report on the impact and utility of research, measuring how insights translate into more effective campaigns and strategic decisions Minimum qualifications - Experience designing and executing public opinion research, including survey and questionnaire design, sampling approaches, and message testing - Ability to analyze quantitative and qualitative polling data and translate findings into clear, decision-ready written recommendations - Experience selecting, briefing, and managing external polling or research vendors - Strong writing and presentation skills, including distilling complex research for senior, non-technical audiences Preferred qualifications - 8+ years of professional experience in political or public opinion research, ideally spanning multiple campaign cycles and policy environments - Corporate public affairs experience, ideally in a highly scrutinized or regulated industry - Strategic thinking that spots emergent issues, identifies and tests the right messages, and translates those insights into tactical recommendations - A track record of building relationships with vendors, external experts, and complex stakeholder ecosystems - Strong organizational skills, with the ability to manage multiple projects simultaneously, maintain clear priorities, and deliver on tight timelines - Comfort operating in ambiguous environments, taking ownership of problems, and proactively driving initiatives with limited precedent - A resourceful, collaborative working style and genuine commitment to being a strong teammate - Passion for AI policy and alignment with Anthropic's safety mission and commitment to responsible AI development The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $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.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job Mistral AI is seeking an Applied AI Engineer focused on robotics deployment. You will take state-of-the-art AI models and make them work on real robots, in real environments, for real customers. This is a hands-on role at the intersection of machine learning and physical systems: you will own the path from model to deployed autonomy, working alongside robotics engineers, ML researchers, and systems engineers to deliver end-to-end autonomous solutions across diverse use cases. What you will do - Integrate AI models with robotic hardware, sensors, and embedded systems, bringing modern perception and language-driven capabilities onto physical platforms. - Improve the robustness, reliability, and safety of robotic systems operating in real-world, unstructured environments. - Test and validate algorithms in simulation and in real-world deployments, moving fluidly between the two. - Analyze field data to improve model performance and system reliability, closing the loop between what happens on the robot and what happens in training. - Bring up, tune, and debug the autonomy stack — localization, mapping, navigation, and perception — on real hardware, from sensor calibration to real-time performance. - Develop and tune robot navigation behaviors — path planning, obstacle avoidance — so systems hold up in dynamic, cluttered, and partially observable environments. - Diagnose failures end-to-end: mapping drift, localization dropouts, perception edge cases, timing issues — and fix them. - Collaborate with robotics engineers, ML researchers, and systems engineers to deliver complete autonomous solutions for customer use cases, from prototype through production deployment. - Build and maintain the tooling needed for deployment, monitoring, and continuous improvement of deployed systems. About you - Bachelor's, Master's, or PhD in Mechatronics, Robotics, or a relevant discipline (e.g. Computer Science, Electrical or Mechanical Engineering). - Fluent in English with excellent communication skills. - Strong software engineering in Python and/or C++: clean, readable, high-performance code; comfortable working in and improving production codebases. - Knowledge of robotics frameworks such as ROS/ROS2. - Experience with robot perception and state estimation: SLAM, localization and mapping, path planning, sensor fusion, or computer vision. - Solid mathematical fundamentals — geometry, probability, and estimation — and the judgment to know when a hand-crafted algorithm beats a learned one. - Familiarity with simulation tools and robotics development environments (e.g. Isaac Sim, Gazebo, or similar). - Strong problem-solving skills and ability to work in interdisciplinary teams. - Comfortable with the messiness of the real world: hardware quirks, edge cases, and field surprises don't scare you. - Low-ego, collaborative, and eager to learn. - Doesn't need roadmaps. Ships. Nice to have - Experience deploying ML models on embedded or edge hardware (GPU/NPU inference, quantization, real-time constraints). - Hands-on experience with sensor modalities such as LiDAR, depth cameras, or IMUs, including calibration and time-synchronization. - Exposure to VLM/VLA models or other foundation-model approaches for robot perception and control. - Experience with navigation in GPS-denied or otherwise challenging environments, or with visual-inertial odometry. - Working knowledge of established autonomy tooling — e.g. Nav2, SLAM Toolbox, Cartographer, RTAB-Map, or AMCL — and knowing when to build versus reuse. - Experience with behavior trees, dynamic costmaps, or fleet-level navigation. - Contributions to open-source robotics or ML projects. - Experience with safety-critical or regulated deployment environments. - Track record of success through personal projects, professional projects, or academia. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About 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 Network Deployment and Maintenance Lead within Anthropic's Data Center Operations (DCO) organization, you will ensure the network inside our data halls is brought online and kept healthy across a growing fleet of partner-operated data centers. The scope is the network within and between data halls: the cluster network, management, telemetry, accelerator chip back-end networks, aggregation layer(s), as well as the cabling, optics, and switching around them. On the deployment side, you are engaged during planning and construction, and will be on site during late-stage construction through network delivery and receiving, cabling, integration, turn-up, validation, and acceptance. You will be the on site lead for structured handover of network delivery into production operations. On the maintenance side, you drive the network repair program including: break-fix and ticket flow, vendor RMA, sparing policies, and the SLAs which operations partners execute against. Finally, some of this work touches core networks, where you will partner with Anthropics WAN/Core network team to support campus/DC core network deployment and maintenance activities. This is a program and execution role. You will work with the Global Capacity Delivery Program Leads, the Repairs Program Leads, and the broader Data Center Operations organization to extend network coverage across more sites and platforms as the fleet grows. Expect 50%+ travel: you get eyes on the floor at each site during network delivery, turn-up, QA, and close-out, and at sites where repair performance needs attention. Your authority comes from being on site where you foster strong relationships with on site teams. Working with third party vendors and partners, you set direction, priorities, and standards for execution. Success is defined against Anthropic-owned ticket and telemetry data you’ve built rather than self-reported status. If you have deployed and maintained data center networks at scale, are passionate about hyperscale data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities Include: - Own network deployment outcomes for your assigned sites and data-hall waves: DCN, management, telemetry, Accelerator chip back-end networks, aggregation layer(s) turned up and accepted on schedule, with exceptions closed out, or risk called early enough for leadership to act. - Engage from construction kickoff and confirm network readiness ahead of each wave: pathways and fiber trays, cabling and optics on hand, receiving paths, and partner staffing, working the gaps with the site operations partner and facilities counterparts before gear arrives. - Be on site at key points during network delivery, cabling, turn-up, QA, and close-out; verify the work with your own eyes rather than from a dashboard, and support the on-site teams with your direct expertise. - Validate the handover gate for each network build: cabling and link validation complete, acceptance criteria met, documentation delivered, spares positioned, ticketing live, and a structured handover into production operations and the repair program. - Own the network repair program across the fleet: repair SLAs, prioritization, and escalation paths for switches, optics, and cabling, with turnaround time and backlog tracked in Anthropic-owned ticket and telemetry dashboards. - Manage RMA and spares for network gear with vendors and site operations partners, including warranty claims, return cycle times, and spares levels by site and part, so that parts availability never gates a repair SLA. - Lead the operating cadence with partner site leads, including weekly deployment and repair reviews and scorecards; analyze failure patterns and drive corrective actions with network engineering, suppliers, and the WAN/Core teams when the core network/MMR is involved. - Turn lessons from each deployment and repair into program standards (procedures, checklists, acceptance criteria, and metrics), and communicate status, dependencies, and risk to engineering, capacity planning, and leadership. You may be a good fit if you: - Have 8+ years of experience in data center operations or network deployment as a manager, technical lead or related role, including accountability for delivery milestones and production availability. - Can demonstrate a proven track record leading data center network deployments at a large scale across multiple sites or data-hall waves, from early floor access through turn-up and acceptance. - Have run break-fix or repair programs for network hardware, including ticket flow, RMA, and spares, and managed vendors, OEMs, or contract workforces to measurable outcomes: milestones, SLAs, quality gates, operational reviews, and corrective action. - Possess hands-on technical depth in data center networking, including switches, structured cabling, fiber, and optics, enough to independently verify turn-up and repair quality and audit vendor claims. - Have built or substantially improved operational processes. - Are comfortable working with schedule, ticket, telemetry, and inventory data to drive decisions. - Can travel heavily and work on site for extended stretches, including during delivery surges and turn-up windows. 50% travel expected. - Possess a bachelor's degree in relevant domain or equivalent practical experience. It’s a bonus if you have: - Experience with dense accelerator networks, including high-speed interconnect, optics, and cabling at rack and pod scale. - Experience standing up network operations at a new site or data hall, from commissioning handoff through first turn-up. - Experience managing RMA and warranty programs with network OEMs, including failure analysis and supplier quality engagement. - Experience delivering deployment and repair outcomes inside partner-operated or colocation sites where on-the-floor operations are staffed via third parties. - Familiarity with meet-me room and WAN bring-up, and with the handoffs between in-hall and building-level network teams. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About 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. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you’ll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You’ll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You’ll own durability and cost at petabyte scale, from streaming and batch replication between origins to garbage collection over billions of objects. You’ll work across the stack, from local disk and page cache to distributed blob storage and garbage collection, and you’ll help shape what storage becomes next as we push storage closer to workloads. What You’ll Work On: - Build P2P sharing of data across workers within a single datacenter to dramatically reduce ingress - Replicate data across multiple blob storage providers - Automate garbage collection across hundreds of petabytes of data - Deploy colocated storage clusters to datacenters to accelerate high-throughput customer workloads You May Be a Fit If: - You have 5+ years of experience writing high-quality production code - You’ve built high-performance distributed storage or caching systems at a large scale (the more challenges you’ve worked through, the better) - You have strong cloud skills, including deep familiarity with object storage (S3 or similar), CDNs, and their consistency, throughput, and cost characteristics - You have strong knowledge of low-level operating system foundations (Linux kernel, file systems, page cache, containers, etc.) - You’re willing to step into the thick of it with our on-call rotation and respond to production incidents Nice-to-Have: - Experience with replication, content addressing, and consistency models in multi-region or multi-cloud systems - Experience operating storage systems at scale (petabyte-scale datasets, high-throughput read/write paths, large-scale garbage collection or data migration) - Experience with data engineering at petabyte scale - Prior experience with Rust

Scale's Generative AI business unit is at the front of the industry, fueling the development of frontier AI models. As a Product Operations Manager, you will build and support the critical processes and platforms that drive our daily operations. This multi-faceted role requires a unique blend of product, operations, and analytics as we architect the future of the business. Success in this role requires the ability to translate complex requirements between technical teams and operational stakeholders, and to earn the trust of both to influence the direction of Scale’s products. You will own the ops product connection and lead our highest priority initiatives. You will: - Own the connection between Operations and Product. Surfacing the needs of operators across the GenAI business, building the case for what should be built next, and shaping a product roadmap grounded in the reality of running frontier data projects - Modernize operations tooling with agents. Identify which processes should be managed by agents, partner with engineering to connect tools, hillclimb the agents through evals, and redesign the workflows around them - Drive our highest-priority, operations-intensive initiatives end to end, from planning through execution and adoption across the organization - Partner with Product and Engineering leads to define success metrics, track how initiatives are performing, and make data-driven decisions - Be the voice of the operator across Scale’s Product and Engineering teams. Provide operator context, early feedback on features, and connect with the right stakeholders to build successful products - Leverage data analytics tools (SQL, Python, coding agents) to quantify the impact of operational problems, inform prioritization, and measure whether what we ship actually works Ideally, you'd have: - 4+ years of experience in Product Operations, Technical Program Management, Strategy & Operations, or delivery operations within high-growth tech environments; the ideal candidate will have 6+ months of experience delivering GenAI data pipelines - A strong product sense and ability to prioritize the highest leverage initiatives - A cross-functional operator: proven ability to understand a customer's underlying need, separate it from the stated request, and influence Product, Engineering, and Ops partners without direct authority - Familiarity with the GenAI data business: how projects are staffed, run, and delivered, and where operators feel friction day to day - Strong technical background (a degree in computer science or STEM is ideal, and at minimum, the role requires the ability to perform independent data analytics using SQL or Python) - Proven ability to communicate complex technical concepts to non-technical stakeholders and translate operational "friction" into engineering solutions - An entrepreneurial and high-ownership mindset: you are comfortable building 0-to-1 processes, handling ambiguity, and driving workstreams from conception to execution - Bias for lightweight structure and doing: you build well designed processes people actually use and know when not to add more Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $180,800 - $226,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role ElevenLabs moves fast - by design. We run lean, we bias toward action, and we trust our people to figure things out. That's how we've built world-leading AI products in three years with a fraction of the headcount of our peers. But speed at 200 people and speed at 1,000+ people are different challenges, and the systems, habits, and connective tissue that let a company move fast without breaking things don't build themselves. As our Company Operations Lead, you'll own the infrastructure that lets ElevenLabs keep its velocity as it scales. Not by adding process for process's sake - but by building the right systems, in the right places, at the right time, so that the rest of the company can focus on what they do best. You'll establish the operating layer that keeps a 50-country, hybrid organization coherent; drive the strategic planning cadence that keeps leadership aligned; and deploy a lean team of strategic generalists against the company's most urgent cross-functional challenges. You’ll be responsible for: - Operating Cadence: Running the planning and alignment cycles that keep the company pointed in the right direction. This includes OKR planning, workforce, and headcount planning. - Operating System : Building and maintaining the infrastructure layer that lets the company move faster. Systems of record, org taxonomy and governance, and the knowledge management systems that ensure information flow effectively across our remote-first team. - AI Enablement & Agentification: Ensuring every team at ElevenLabs has the tools, access, and knowledge to work effectively with AI. You'll own the internal AI enablement framework - managing tool access and rollout, identifying where agents and automation can accelerate how functions operate, and building the learning opportunities and champions programmes that drive deep adoption. You'll work closely with Security, IT, and the Automations team to ensure what gets built is built right. - Operations Centre of Excellence: Defining what great operations looks like at ElevenLabs and embedding it across the company. You'll set the blueprint that makes operational excellence repeatable and deploy the team as embedded operators inside other functions, standing up best practices, up-skilling teams, and handing off cleanly once the work is done. Requirements We do not require formal experience, certifications, or degrees. We do require: - Proven experience building and leading a Strategy & Operations or BizOps function at a high-growth technology company - ideally through a meaningful scaling inflection (Series B–D trajectory or equivalent). - Track record of standing up functions and systems from scratch and handing them off, rather than owning a permanent queue. - Structured problem-solving background - strategy consulting, a BizOps or Chief of Staff seat with genuine strategic scope, or an operator role that required both systems-building and executive influence. - Strong AI and tooling fluency - you should be pushing the organisation on what's possible with AI enablement, not chasing it. - Exceptional stakeholder management: you can partner with founders and Leads and earn trust quickly in a flat, high-velocity environment. Bonus: - Experience inside a company that scaled through a 200 → 2,000+ person inflection. - Background that spans both consulting and operator roles - you've done the thinking and the building. - Familiarity with knowledge management, AI agentification, or internal tooling as an operational discipline. Location This role is remote. London or New York preferred. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The vision for Claude Marketplace is to create an ecosystem flywheel, connecting builders and buyers. We're hiring a Product Manager to own the Marketplace as a product, for the partners who sell on it and the customers who buy through it. You'll work closely with the Marketplace team, which owns the partner and customer relationships as well as the commercial motion, and build on systems owned by other product and engineering teams. You'll have a lot of room to define and build the experience fitting for an AI native world. Key responsibilities - Own the Marketplace product end to end for partners and customers, from onboarding and listing through purchase and billing - Design the commercial workflows behind the Marketplace from first principles, so they scale and meet partners' and customers' finance, audit and compliance requirements - Shape the business strategy and commercial incentives with Business Development, Finance and Legal, and build them into the product - Be the product voice partners hear from, and turn signals from partners, customers and the field into a roadmap - Define the Marketplace's success metrics and how they're measured Minimum qualifications - Have owned a product end to end, including the operational workflows behind it, and were the person accountable for its outcomes - Have built with or shipped on top of large language models, and have used them to make a product experience better - Have led cross-functional work where most of the teams you depended on didn't report to you, and earned their trust quickly - Can present to executives at partner companies and represent Anthropic well in front of them - Write clearly enough that an engineer, an executive and an external partner can each see the tradeoff you're making - Care about Anthropic's mission, and specifically about building an ecosystem where the companies that build on Claude grow along with it Preferred qualifications - 8+ years of product management experience - Played an active role in a marketplace, app store or partner ecosystem, on either the platform or the partner side - Taken a product from zero to one, where the users, the product and the economics all had to be worked out at once - Go-to-market instincts: how co-sell motions, partner programs and platform economics work in enterprise software - Experience/familiarity with high growth AI native companies, including their business models and growth vectors Location San Francisco, New York City or Seattle. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About the Team OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We operate at the intersection of Product, Engineering, Risk, Finance, and Go-to-Market to ensure that paying for OpenAI products is seamless, reliable, scalable, and globally optimized. As OpenAI expands internationally and across product surfaces, FinEng plays a critical role in enabling durable, efficient revenue growth. About the Role As a Data Scientist for Financial Engineering, you will drive the measurement, experimentation, and optimization work that powers OpenAI’s monetization infrastructure. You will define how we measure and improve checkout, payments, subscriptions, and pricing systems globally—balancing conversion, risk, cost, reliability, and user experience. As a senior individual contributor, you will establish source-of-truth metrics, design rigorous experiments, develop analytical frameworks, and translate complex findings into decisions that directly affect revenue and international growth. This role is based in San Francisco, CA. We use a hybrid model of three days per week in the office and offer relocation support. In this role, you will - Define key metrics and guardrails across checkout, payments, subscriptions, and pricing. - Design experiments, staged rollouts, and offline incrementality studies. - Improve conversion, payment performance, retention, and involuntary churn. - Develop pricing, elasticity, FX, and localization frameworks. - Partner with Data Engineering to build trusted datasets and operational monitoring. - Turn complex analysis into recommendations that shape product and business decisions. - Provide technical leadership and mentor other data scientists. You might thrive in this role if you have - 10+ years of experience in data science, experimentation, or product analytics. - Experience with monetization, payments, checkout, subscriptions, or pricing. - Advanced SQL and Python skills and strong expertise in experimentation and causal inference. - A track record of independently leading high-impact, cross-functional analytical work. - Strong product judgment, communication skills, and the ability to influence senior stakeholders. 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.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role As a Strategic Account Executive, Federal Sales at SpaceXAI, you'll drive revenue growth across a named territory of large federal accounts on our Public Sector team. You'll work closely with engineering organizations - from CTOs to individual development teams - to understand how they build software, demonstrate how Cursor transforms developer productivity, and land and expand Cursor across their organizations. This role requires deep technical fluency, the ability to navigate complex enterprise and government buying processes, and a genuine passion for AI-powered developer tools. You'll be a foundational member of our enterprise sales motion, based in either Sydney or Canberra. What you’ll do - Own a named book of federal accounts; drive new agency acquisition, expansion revenue, and long-term strategic growth - Lead complex, multi-threaded sales cycles across Engineering, Product, Security, Procurement, Legal, and mission-critical stakeholders - Become a trusted product expert; guide federal prospects through trials, technical evaluations, security reviews, and large-scale rollouts - Build executive relationships and cultivate day-to-day champions across agencies, integrators, and technical teams - Quantify value with clear ROI cases tied to developer productivity, AI adoption, mission outcomes, and secure software delivery - Be the voice of the federal customer and influence the roadmap with actionable feedback on product, compliance, deployment, and procurement needs - Partner closely with Field Engineering and our AI Deployment team to deliver outcomes from proof of concept through production deployment and expansion - Navigate federal procurement processes, contract vehicles, partners, and compliance requirements to accelerate adoption You may be a fit if - You have 10+ years of closing experience in enterprise or federal technology sales, ideally selling developer tools, technical SaaS, infrastructure, cybersecurity, or emerging technologies - You have a consistent track record of landing new logos, expanding strategic accounts, and exceeding quota through self-sourced pipeline generation - You’re a true hunter — you proactively build pipeline from scratch through outbound prospecting, account mapping, partner leverage, creative sourcing, and relentless follow-up - You’re comfortable navigating complex federal sales cycles and selling to technical and mission-oriented stakeholders — from engineers and program leaders to CISOs, CIOs, and senior executives - You understand, or are excited to learn, federal buying motions, procurement processes, security expectations, and partner ecosystems - You bring an analytical approach to understanding customer needs combined with creative, tactical follow-through to advance opportunities - You’re an excellent communicator who can build trust across all levels of an organization - You’re passionate about AI and excited by the idea that transforming how software gets written is one of the most important problems to work on right now

About the Team OpenAI’s Applied AI Engineering (AIE) team helps customers around the world build and deploy AI solutions that deliver measurable business value. We combine technical expertise and hands-on engineering to identify high-impact use cases, develop and evaluate solutions, and guide customers from experimentation to production—bringing deployment insights back to OpenAI’s product and research teams. About the Role We are seeking a Technical Program Manager to lead the planning, execution, and ongoing operations of programs across OpenAI’s global Applied AI Engineering team. You will turn customer, field, and leadership priorities into actionable programs spanning regions and customer segments, managing milestones, dependencies, risks, and delivery in collaboration with AIE, Sales, Product, and partner teams. Alongside execution, you will own and improve AIE’s internal operating mechanisms and tooling, and work with leadership to resolve adoption and delivery bottlenecks. This role combines hands-on program ownership with the opportunity to inform AIE priorities and industry strategy, improve how the team operates, and scale successful approaches globally. This role is based in San Francisco, California in the United States. In This Role, You Will - Own end-to-end delivery and operations for a prioritized portfolio of global AIE initiatives, including project plans, milestones, dependencies, risks, regional rollout, leadership updates, and performance tracking. - Co-own industry strategy with AIE and GTM leaders across regions: synthesize customer and field feedback, identify recurring workflows and adoption barriers, and prioritize use cases and investments. - Partner with AIEs across regions and customer segments to identify recurring adoption, delivery, and operational bottlenecks and root causes; work with leadership to prioritize actions, align resources, and drive resolution. - Lead the design of reusable technical industry workshops—including agendas, demos, materials, and actionable next steps—that regional teams can adapt, with delivery led by AIE and other technical teams. - Work with hyperscaler and ecosystem partners to jointly develop industry use cases and coordinate technical readiness, launches, and go-to-market execution. - Own the roadmap, quality, and lifecycle of API and industry demos, technical blueprints, and field enablement playbooks, partnering with technical teams to keep assets current, reusable across regions and customer segments, and aligned with customer needs and product capabilities. - Design and run field-wide technical campaigns in collaboration with AIE, Sales, Product, and partner teams, tailoring regional execution to move customers from discovery and evaluation toward adoption. - Own and improve AIE’s internal operating mechanisms and tooling—including intake, prioritization, operating reviews, and reporting. Establish feedback loops, shared success metrics, and dashboards for delivery, field and customer adoption, API usage, and business impact across regions; use automation and insights to improve team effectiveness and inform AIE, industry, and product priorities. You Might Thrive in This Role If You - Bring at least 10+ years of technology-industry experience, with a track record in technical program management, technical strategy, technical GTM, industry programs, or technology consulting. Experience at hyperscalers, independent software vendors (ISVs), or consulting firms is preferred. - Have driven technical sales motions and field-wide campaigns with measurable customer adoption or business results. - Bring strong technical fluency in AI, APIs, cloud platforms, and enterprise deployment tradeoffs, with experience scoping use cases and shaping technical demos, prototypes, workshops, or reference implementations with engineers. - Can turn customer and field signals into a clear industry point of view, distinguish repeatable needs from one-off requests, and prioritize investments. - Have experience partnering with hyperscalers or technology ecosystems on joint solutions, technical enablement, or go-to-market programs. - Have built and managed internal workflows or tooling that teams use day to day. Use automation and AI-powered business intelligence (BI) tools to reduce manual work, build dashboards, define success metrics, and turn adoption and program-performance data into decisions. - Have led large-scale global initiatives from initial design through multi-region rollout and ongoing operations, balancing shared standards with local needs. You navigate ambiguity, influence without formal authority, and communicate clearly with technical, field, partner, and executive audiences across regions and functions. 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.

We are looking for a Systems Engineering, Integration & Test (SEIT) Lead to own the technical execution of software demonstrations for classified government customers. You will turn customer mission needs into demo-ready capability. That means defining requirements and architecture, running integration and test, and delivering demonstrations on tight timelines in secure environments. You will be the technical bridge between program management, software development, and the customer, and the person who makes sure what we show works and is traceable to what the customer needs. You will: - Lead multiple software demo efforts, from concept through customer demonstration and after-action reporting - Turn customer mission needs, CONOPS, and use cases into system requirements, demo objectives, and success criteria - Partner with the Chief Engineer and Chief Architect to own the system architecture and interface definitions (ICDs), and coordinate across software, data, and third-party/GFE components - Build and run integration and test plans, test procedures, and verification matrices (RVTM) - Plan and run demo events: environment setup, dry runs, rehearsals, go/no-go reviews, and on-site support - Partner with the infrastructure and engineering teams to maintain integration and test environments on classified networks and in SCIFs, working with security and IT on accreditation needs - Lead technical reviews (system requirements reviews, test readiness reviews) and present to customer stakeholders at the right level of technical depth - Manage technical risk, configuration baselines, and change control across fast-moving development cycles for critical demonstrations Must Haves: - An active TS/SCI clearance - 10+ years of systems engineering experience, with 5+ years in integration and test of software-intensive systems - 3+ years in a technical lead role on DoD or IC programs - Hands-on experience delivering software demos, prototypes, or rapid capability efforts to government customers - Strong command of requirements management, verification and validation, and interface control - Experience working in classified environments (SCIFs, air-gapped networks, cross-domain constraints) - Comfortable presenting to senior government and military stakeholders - Knowledge of risk management framework (RMF) / authority to operate (ATO) processes Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $166,400 - $249,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ full-stack engineers to shape purchasing experiences and monetization capabilities across OpenAI products. You’ll work across web experiences, product APIs, and shared components, combining strong product judgment with technical depth. The work ranges from improving checkout conversion and performance to enabling new pricing models, offers, and ways for customers to purchase our products. You’ll help identify opportunities, turn ambiguous goals into concrete technical plans, and lead initiatives from exploration through launch. As patterns emerge across products, you’ll develop reusable capabilities that make future launches faster and more consistent. This is a hands-on technical leadership role with substantial ownership over architecture, implementation, and product outcomes. This role is based in San Francisco, with three days per week in the office. In this role, you will: - Architect and build purchasing experiences end to end, from frontend interactions through the product APIs and backend integrations that support them. - Improve checkout conversion, performance, and reliability through experimentation, product analytics, and customer insights. - Develop shared checkout components and monetization capabilities that support new products, pricing models, offers, and distribution channels. - Partner with Product, Design, Growth, and Data Science to identify opportunities, define experiments, and evaluate results. - Lead initiatives from early exploration and prototyping through implementation, rollout, and ongoing operation. - Shape frontend and product API architecture, balancing immediate delivery with maintainability and reuse across products. - Work across engineering teams and business functions to turn complex requirements into simple, effective customer experiences. - Provide technical leadership through hands-on development, design reviews, and mentorship. You might thrive in this role if you: - Have demonstrated technical ownership at Staff level or beyond, shaping architecture and delivering substantial initiatives across teams. - Have strong experience building sophisticated web applications and the backend APIs that power them. - Have repeatedly taken customer-facing products from ambiguous ideas through production and ongoing iteration. - Understand how frontend performance, latency, interaction design, and API architecture affect customer experience and business outcomes. - Combine strong product instincts with experience using experimentation and A/B testing to decide what to build and measure its impact. - Make pragmatic tradeoffs between shipping quickly and investing in reliable, reusable systems. - Communicate clearly across functions and can move work forward without a fully defined roadmap. - Enjoy hands-on engineering while helping other engineers develop their judgment and take on broader ownership. Experience in e-commerce, growth, checkout, subscriptions, offers, or monetization is particularly valuable. Direct payments experience is helpful but not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for an experienced, motivated Enterprise Account Executive to drive ElevenLabs’ growth across Insurance: the carriers, MGAs, and brokers people rely on when life gets expensive and complicated. These organizations win or lose on trust and service at massive scale, under some of the most demanding regulatory standards anywhere. Our ideal candidate learns fast, closes well from a warm introduction, and is passionate about AI voice technology. You’ll act as a strategic partner to insurers reimagining how they serve, sell to, and sound to their customers, safely and at scale. In this role you will: - Focus on prospecting and landing net-new customers to expand the market footprint that ElevenLabs has in the Insurance industry - Balance a diverse pipeline of large national carriers that require a white-glove experience with regional and mid-sized insurers that require speed to close - Identify where conversational AI can drive growth, automation, or cost efficiency in customer-facing and internal workflows, such as claims intake, policy servicing and renewals, billing and payment support, agent and broker support, and contact center coaching - Stay current on the conversational AI landscape, including competitive solutions, build-vs-buy dynamics, and emerging trends in insurance AI governance and regulation - Develop and execute account strategies across the whole buying group (Claims Operations, Customer Service and Contact Center, Distribution, Digital and Technology, and Compliance, Legal, and InfoSec), landing with one high-impact use case and expanding across lines of business - Partner closely with Forward Deployed Engineers to solution high-impact use cases, manage a successful Proof of Value, guide customers through security, architecture, and AI governance review, and set them up to scale in production - Partner closely with Legal teams to drive strategic, fast-moving negotiations - Serve as a trusted advisor on generative AI and voice, and share what you learn in the field to sharpen our Insurance positioning, messaging, and references Requirements - 7+ years of quota-carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms - Insurance experience (carriers, MGAs, brokers, insurtech) is preferred but not required. We weigh demonstrated adaptability and fast ramp in a new industry heavily - Proven success closing [six- and seven-figure] deals and managing complex, multi-stakeholder sales cycles - Proven ability to take a warm introduction through discovery, Proof of Value, and procurement to close - Experience selling to both technical buyers (product and engineering) and business buyers (claims, customer service, distribution, digital), and to compliance and risk gatekeepers, translating complex technology into business value - Adept at deeply understanding a customer’s business and translating ElevenLabs’ capabilities into solutions that deliver against their needs - Proficient in enterprise procurement, security review, and legal processes, including regulated-industry vendor risk, AI governance, and data protection reviews, and able to work autonomously as a cross-functional partner - Strong executive presence, the ability to build relationships with senior executives, and willingness to travel frequently for onsite client visits and conferences - High EQ, self-aware, and curious. Low ego and hands-on, comfortable running your own prospecting and deals - Comfort in an early-stage, high-growth environment, where ambiguity is the norm and the state of play changes rapidly - Passion for voice and conversational AI and how it can unlock transformative value for customers Location This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. There is a preference for candidates to be based in New York or San Francisco, with the option to work out of our office. LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. Atom Computing is seeking a Principal AI Developer Experience Engineer to improve how our physicists and engineers use AI in their daily work. You will set best practices for AI-assisted engineering and build shared tooling that lets teams quickly adopt new AI-driven workflows. You will also influence product architecture to broaden where LLM-driven workflows apply, including areas where hardware, timing, or reliability requirements have typically called for conventional methods. This role’s aim is to accelerate work in experiment analysis, optics development, PCB and FPGA design, and quantum control software (C++/Rust) development. Due to the need to engineer physical systems, the role will be on-site in Boulder, CO at least 3 days per week. Responsibilities Define, document, and maintain best practices for AI-assisted coding, testing, code review, and research workflows. Influence guidelines for using LLMs on performance-critical software, including embedded C++ and Rust, RTOS applications, and kernel device drivers: where AI assistance is appropriate, how generated code is reviewed and tested, and how memory safety, timing, and determinism are verified before merge. Make forward-looking electronics architecture improvements to our AI tooling and integrations so they keep pace with advances in models and agents and with shifts in engineers' tool preferences, and track industry benchmarks for AI-assisted developer productivity so our practices stay current. Build ways to measure the output of AI and LLM-driven workflows, such as defect and revert rates of AI-assisted changes, review findings, test coverage, performance regressions, new capabilities added, and time saved, and use the results to refine tools and guidelines. Ensure safe and reliable operation of AI in quantum processors. Experience & Education Master’s or PhD in Computer Science, Software Engineering, or Artificial Intelligence 8+ years of software development Qualifications Strong software engineering skills in Python, and experience writing embedded software in C++ or Rust, including manual memory management, hard real-time constraints, and kernel device driver implementation. Influencing an organization of > 50 engineers using AI agents (Claude Code, Cursor, or GitHub Copilot) on a daily basis, identifying pitfalls and measuring impact. Working knowledge of how LLMs behave in practice: context management, prompting, agentic workflows, harnesses, effective safety practices, tool use, and judging output quality. Clear written and spoken communication with audiences ranging from physicists to new software hires. An ability to influence a multi-discipline engineering organization.

About the Team OpenAI’s mission is to build safe artificial general intelligence that benefits all of humanity. Our Go To Market team helps customers understand, adopt, and deploy AI, bringing together Sales, Solutions, Support, Marketing, and Partnerships. Our education work spans higher education, country-level partnerships, and K–12 teachers. We help institutions and students build durable AI capabilities for the future and explore how AI can support teaching, learning, research, and institutional operations. About the Role We are seeking a Head of Global Education GTM to lead our education partnerships & sales, shape GTM strategy, and scale the team for its next stage of growth. You will set priorities across markets and customer segments, lead representatives and regional management, and stay close to complex opportunities and senior customer relationships. This is a strategic, hands-on leadership role at the intersection of partnerships, product, and adoption. You will help the team move customers from experimentation to responsible, sustained use of frontier AI. Seats and meaningful capability building and adoption are the primary goals, alongside disciplined management of the team’s commercial responsibilities. You will lead technical, consultative Account Directors who own the customer journey from territory strategy and pipeline creation through use case identification, evaluation, procurement, deployment, adoption, consumption, value realization, and expansion. Your judgment will help the team connect executive ambition with credible technical and training plans as well as institutional readiness. You are a strategic thinker who is comfortable speaking with leaders on the future of AI in education, and shaping GTM while technology and capabilities are still being built. Education experience is welcome but not required; we are looking for a strategic technology sales leader with strong learning agility, product sense, scrappiness, and mission alignment. International experience is helpful but not required. In this role, you will: - Define and execute a global education GTM strategy across higher education, country-level partnerships, and K–12 teachers, making clear choices about segments, markets, and resource allocation. - Lead, coach, and develop Account Directors and regional management, building the hiring plan and management capacity needed to scale. - Stay hands-on with major opportunities, helping the team navigate executive alignment, decentralized stakeholders, technical evaluation, governance, procurement, and deployment. - Develop trusted relationships with institutional leaders, education systems, country-level stakeholders, and partners. - Build repeatable sales and partnership approaches that expand seats and support sustained adoption and value realization. - Establish territory planning, pipeline reviews, forecasting, and account management that connect adoption goals with subscription and consumption responsibilities. - Partner with Product, technical teams, Marketing, Strategy and Operations, and other functions to shape credible customer plans and inform product priorities. - Help institutions build faculty and educator AI capabilities, connecting access with practical use and learning. - Guide the team through product change and ambiguity, distinguishing available capabilities from dependencies that require validation. We’re seeking someone with: - A track record of leading and developing sales teams, including hiring, coaching, performance management, and building repeatable operating practices. - Strong strategic judgment: the ability to make explicit tradeoffs, prioritize opportunities, and translate a long-term vision into frontline execution. - Experience leading complex enterprise technology sales or partnerships involving executive, technical, operational, and procurement stakeholders. - Strong product sense and technical curiosity, with the ability to learn evolving AI capabilities and partner effectively with technical experts. - Evidence of building in ambiguous, rapidly changing environments with limited resources, incomplete processes, or products still evolving. - A customer-centered approach that extends through deployment, adoption, usage, and expansion. - Clear communication and cross-functional influence across senior leaders, specialists, and frontline teams. - A mission-driven interest in expanding access to AI and helping educators and institutions build durable capability. You might thrive in this role if you: - Are a strategist who makes difficult choices and brings teams along with a clear rationale. - Are a builder who creates systems and teams while staying willing to do the frontline work. - Enjoy learning new technology and translating it into practical customer opportunities. - Can move between an executive conversation, a deal review, and a discussion about deployment readiness. - Measure progress through meaningful customer use and can balance mission, adoption, and commercial discipline. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's 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.

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 ElevenMusic is a consumer music app where music is the core product: a place to listen, create, remix and share. The team is small, agent-first and sits apart from the main org, with very fast CI, so ideas often ship the same or next day. Today, one engineer runs the whole iOS app alone. We’re looking for a Mobile Engineer to own ElevenMusic across iOS and Android, and to make mobile a driver of the product rather than a downstream port of web features. You’ll build for musicians and creatives, think in systems as well as screens, and work with high autonomy and a high bar for taste. Requirements - Shipped a well-designed, production mobile app that real users love, and can show us what you owned. - Strong systems thinking across mobile and backend. We’re framework-agnostic (Swift UI or Kotlin Jetpack Compose), but expect you to work across iOS and Android. - Exceptional product taste and a clear view on what makes a mobile experience great. - Highly self-directed: you turn loose directions into shipped work and own the outcome. Bonus: musical interest or intuition. Open-source or GitHub contributions. Location This role is remote-first, so it can be executed from anywhere in Europe and the US East Coast, with the ability to operate in GMT-5 to GMT+1 timezones required. If you prefer, you can work from our offices in London, New York, Warsaw, and Amsterdam. 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.