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Location: London, UK 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 Partnership lead, you’ll help drive our strategic growth with Google Cloud. You'll play a critical role in managing the relationship, generate large-scale revenue opportunities, and work with leadership across both organizations to accelerate Anthropic's AI adoption through GCP's global ecosystem. You’ll be a part of a small team with an outsized scope - setting the strategy and rolling up your sleeves to execute it. You'll help shape how frontier AI technology is commercialized at scale and develop the blueprint for successful AI-cloud provider partnerships. Responsibilities: Develop and execute comprehensive GTM strategies for our GCP partnership, including co-selling motions, enablement programs, and joint business plans Develop forecasting models, build pipeline, and set revenue targets for the partnership Build and maintain cross-functional relationships across GCP Drive strategic planning and execution of joint marketing and sales initiatives, including major customer engagements Create and implement scalable processes for partnership operations, including escalation management and reporting Provide strategic market intelligence and competitive insights to inform product and business strategy Design and execute sales plays and enablement programs Participate in monthly business reviews with key stakeholders Identify and develop strategic opportunities to expand partnership scope and impact You may be a good fit if you have: 8+ years of experience, ideally including 2-4 years in a high-intensity, analytical role (investment banking, management consulting, or similar) and 4+ years in GTM at fast-growing technology companies Deep understanding of enterprise cloud services and AI/ML market dynamics Exceptional communication and relationship-building skills with both technical and business stakeholders Proven ability to develop and execute successful co-selling strategies at scale Excellence in strategy, business operations, and program management Ability to thrive in a fast-paced environment, adapt to changing priorities, and balance strategic thinking with tactical execution Experience working with technical products and translating complex capabilities into business value Strong candidates may also have: Direct experience scaling GTM at a high-growth startup or leading enterprise sales or partnerships at a major technology company Familiarity with large language models and their applications in generative AI Previous experience working with cloud and large technology partnerships Technical background in computer science, software engineering, data science, or related field MBA or advanced degree in relevant discipline 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: £215,000 — £250,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dublin, IE About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic is seeking an International Infrastructure Accounting professional to join our Infrastructure Accounting team. Based in Dublin and reporting to the Head of International Infrastructure Accounting, you will execute day-to-day accounting for the leased and owned infrastructure supporting Anthropic's expansion outside the United States, i.e. the data centers, network infrastructure, and compute capacity underpinning our international growth. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing international infrastructure portfolio is accounted for and understood across the business. You will own end-to-end accounting for Anthropic's international infrastructure portfolio, with an initial focus on leases, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 842 for the US GAAP books, and carry those same arrangements through to the IFRS 16 or local GAAP books. You will partner closely with our central team to ensure global policies, processes, and controls are applied consistently as each new market comes online. Responsibilities: Lead end-to-end accounting for Anthropic's international infrastructure portfolio — leased and owned, with an initial focus on leases — including monthly close, reconciliations, roll-forwards, and flux analysis Apply technical accounting expertise to complex infrastructure arrangements under ASC 842 (lease classification, measurement, modifications, embedded leases, and reassessments) and ASC 360 (capitalization, useful lives, impairment, and disposals) Prepare the US GAAP to IFRS 16 and local GAAP adjustments for each international entity, and partner with our International Statutory Reporting team and external providers so the statutory accounts are accurate and filed on time Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Apply global infrastructure accounting policies, processes, and controls consistently as each new market comes online Help stand up the accounting foundations for each new market, i.e. entity and chart of accounts mapping, functional currency, intercompany flows, and lease system onboarding Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around contract terms, asset receipt, deployment, and in-service dates Collaborate with and mentor accounting professionals across the Infrastructure Accounting team Serve as a key point of contact with external auditors and local statutory auditors on international infrastructure matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting Minimum Requirements: Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies Are a qualified accountant (ACA, ACCA, CPA, or equivalent) with a bachelor's degree in Accounting, Finance, or equivalent practical experience Possess strong technical accounting knowledge of ASC 842 and ASC 360, particularly as applied to infrastructure, data center, or compute-related arrangements Have worked across both US GAAP and IFRS, and are comfortable owning the differences rather than handing them off Have experience managing a significant lease or fixed asset portfolio in a high-growth environment Demonstrate strong analytical abilities and comfort working with large, complex datasets Have a track record of improving scalable financial processes in fast-moving environments Have experience mentoring and developing accounting professionals Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners and time zones Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred Requirements: Experience at hyperscalers, large compute consumers, data center operators, or telecommunications companies with exposure to infrastructure lease or asset structures (including colocation, dark fiber IRUs, GPU clusters, networking equipment, and data center buildouts) Experience with lease accounting software and / or fixed asset subledger systems at scale Experience with statutory reporting across multiple jurisdictions, including working with external providers and local audits Experience supporting a US-headquartered multinational from a regional or European finance hub SQL proficiency for querying and analyzing large infrastructure and accounting datasets Background in Big 4 accounting or advisory services combined with industry experience Experience with complex data center buildouts or hybrid cloud / on-premise environments Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments 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: €140.000 — €170.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Tokyo, Japan 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 Japan is one of our fastest-growing partner markets, and partner demand for training and certification is ahead of our capacity. You will be our in-market enablement owner for Japan. You will take the global programs built by our Curriculum, Certification, and Applied AI teams and make them work for Japanese system integrators, from global integrators with large Japan practices to regional and specialist firms, so their teams can confidently sell and deliver Claude. You work as the Japan extension of the SI Enablement Lead, in close partnership with the Japan Partner Account Managers (PAMs). The PAMs own the commercial relationship, the joint business plan, and executive alignment. You own readiness: what ready looks like for practitioners inside Japanese SIs, and the path that gets them there. What you will do Serve as the enablement counterpart to Japan SI alliance, practice, and L&D leaders, working alongside the Japan PAMs. Build and execute a readiness plan for 3-5 regional priority partners (based on leadership priorities), while guiding the rest through scaled offerings. Define what ready means for an individual practitioner in a Japanese SI (demonstrated skill, not course completions), building on Partner Enablement’s global competency framework and adapting role definitions to how Japanese SIs staff and organize delivery teams. Partner with the training team on the instructor-led portfolio, bringing the right training to market with localized delivery partners. What this role does not own Partner relationships. Japan PAMs own the commercial relationship, joint business plan, pipeline targets, and executive alignment. Building curriculum and certification. The Training & Curriculum and Certification teams build these once, centrally. You activate them in Japan and bring back what needs to change. The external training delivery bench. Delivery partners run the sessions. You partner with them and the training team to bring the right programs to market. 1:few or one-off enablement. The focus is on repeatable, 1:many programs. Qualifications 5+ years in partner enablement, technical training, partner programs, or alliances in Japan, ideally with or inside Japanese SIs or a hyperscaler’s Japan partner team Working knowledge of how Japanese SIs build, staff, fund, and certify a technology practice Experience delivering or coordinating workshops, instructor-led training, or certification programs Experience building enablement as a repeatable program, with some tiering of coverage (hands-on for priority partners, programmatic for the rest) Ability to define and track outcome measures beyond attendance and completions Credibility with partner practice, alliance, and L&D leaders Self-directed, comfortable prioritizing independently and working with a manager in a different time zone Excellent program management skills, a systems mindset, and comfort operating in ambiguity Strong presence in front of an audience Native Japanese and fluent business English Preferred Experience with Claude or other LLM platforms Experience with a hyperscaler certification program in Japan A background localizing technical content Existing relationships at Japanese SIs Experience working with training vendors or an authorized training partner model Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Agent Security's mission is to safely increase how much of the world's work agents can do, starting inside Anthropic. Claude now writes and ships code, runs experiments and acts on people's behalf, for hours at a time. How much more it can take on depends on how safely it can operate. If, in the worst case, an agent misbehaves, Anthropic and the public may bear the consequences. Our mandate is to mitigate this risk, and Anthropic’s mission depends on it. The Partnerships team pairs security engineers with the teams at Anthropic that build Claude, build agents and rely on agents. Those teams are our partners. When a team wants its agents to do more, we threat model the plan with them and build the controls together. Most of this has no playbook, so we have often created new controls from first principles. The ones that work become part of our toolbox, spread to other teams, and in some cases ship in our products. We're hiring an Engineering Manager to lead this team of security engineers. This is first and foremost a people leadership role. Few have secured agents at scale, especially at a frontier lab, so we don't expect you to have done it. We do expect you to have led security engineering teams, and we care most about how you lead people and reason about security. This role operates at the frontier. Each model generation, and each new harness, brings new challenges. The number of teams building on agents keeps growing, and partner teams won't always agree with your calls. In return, you will have the chance to directly contribute to making transformative AI go well, which is the heart of our mission. Key responsibilities Hire, mentor and grow senior and staff security engineers, and raise the bar as the team scales Set the team's investment strategy, deciding which teams get embedded engineers, and for how long, as demand outgrows the team Support the team through high-stakes safety and security calls made under uncertainty and on tight timelines Balance long-term investment in shared controls against partner teams’ immediate asks Deliver large security migrations across all of Anthropic Work through difficult tradeoffs with partner teams in ways that build trust and understanding Representative Projects In the past, the team has: Invented a new kind of classifier-based control for agents partnering with an internal team to develop and roll it out Co-built a sandbox with a product team, choosing what to enforce first so that adoption stuck Defined the security standards for running agents across the company and partnered with many different teams on how to hit these standards Minimum qualifications Excellent people management skills. You've hired, developed and managed senior and staff engineers, grown engineers into staff or lead roles, and kept a team delivering through changing priorities. Deep security management experience. You've managed security engineering teams and answered to executives for risk and tradeoffs. Strong written and oral communication skills. You've explained hard tradeoffs to executives and to engineers in plain words. Resilience, emotional awareness, low ego and high empathy Experience leading large migrations and highly cross-functional work A willingness to dive into the details to tie-break complex trade-offs without any clear answer, and the ability to stand by these decisions Preferred qualifications Experience embedding security engineers with product, infrastructure or research teams, or running a security partnerships team Agent security or AI/ML security experience Familiarity with AI safety concepts and research Leading in hypergrowth The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY 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 in the Internal Products and Technologies organization, you'll own the experiences our sales teams use to configure, price, quote, approve, and close deals. You’ll partner with Engineering, Sales, Deal Operations, Finance, and Legal to shape how customers buy from Anthropic. You’ll balance a fast, simple seller experience with rigorous governance. Responsibilities Deeply understand sellers, Deal Desk, Legal, and Order Management workflows and how tooling can improve their impact. Own product strategy and roadmap for quoting, approvals, and deal execution, using AI wherever it makes the experience meaningfully better. Partner with engineering to design and ship the systems behind quoting, pricing, and approvals, and own adoption as well as launch. Make prioritization calls across competing stakeholder needs. You might be a good fit if you have 8+ years in product management, including ownership of complex internal or enterprise products. Experience building or scaling CPQ (configure, price, quote), pricing, or approval systems for complex enterprise deals. Experience shipping AI-powered workflows that people relied on in production. Experience with products where financial controls and auditability matter. A record of resolving conflicting priorities across functions without direct authority. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude is trained and served on hardware in data centers Anthropic operates and in sites partners build and run for us. DCSE secures that footprint: the sites, the hardware moving through them, and the people and vendors who touch it. Part of that footprint is the radio spectrum around and inside each site: what transmits there, what listens there, and what the equipment itself gives off. You'll be the engineer who owns that domain end to end: on-site RF monitoring and detection, technical surveillance countermeasures (TSCM) and emanations security, from the threat basis through the systems that make the spectrum observable, to sign-off before a site opens. The engineering is in the monitoring and in the tooling that proves the controls hold: the sensors, receivers and their placement, the site baselines, and the detection logic that turns a rogue transmitter or an unexpected emitter into an alert an analyst trusts. External specialist partners do the hands-on sweep and measurement work; you write the scope, direct them on site and decide whether their report stands. The goal is security that runs itself: coverage, sensor health and evidence verified continuously, with tools and AI agents doing the routine triage. We favor simple, standard controls and tools that can be verified over elaborate ones. We use Claude throughout our engineering workflow and expect you to as well. You'll work with the rest of DCSE, including its physical security systems engineers and the engineers on its security monitoring platform, with Anthropic's data center operations, construction and legal teams, and directly with site operators and landlords. The role is based in San Francisco, with remote applicants in the US considered, and involves regular travel to data center sites, which are critical infrastructure. Key responsibilities On-site RF monitoring and detection: design and develop the monitoring at each site: sensor, receiver and antenna selection and placement, the spectrum monitoring architecture, site RF baselines and what keeps them current, and detections that reach the team's security monitoring platform as alerts analysts keep trusting Tools, automation and AI agents: build the detection and classification tooling, the instruments and software for checks between sweeps, the findings and evidence records behind them, and the agents that triage alerts and watch sensor health. When a review keeps costing people time, you build the tool or agent that retires it Technical surveillance countermeasures: own TSCM end to end: sweep cadence by space sensitivity, event-driven triggers such as fit-out, room turnover or an incident, scope and acceptance criteria per sweep, and findings handled with evidence and closure an assessor accepts Emanations security: set the posture for sites: the assessment method, zoning and separation, and shielding, filtering and protected cabling where warranted, written into the team's design and build standards so a site can build to them and an assessor can verify them Wireless and device policy by zone: detect which radios are actually present where (cellular, Wi-Fi, Bluetooth, IoT, trunked radio) and produce the evidence that the policy holds on the floor Specialist partners: write the scope and the deliverable standard for sweep and assessment work, direct it on site, and decide in the acceptance review whether a report stands New sites and leases: carry RF and emanations requirements into design reviews, lease terms and pre-opening reviews, and sign off RF and emanations, including the pre-opening sweep and assessment, before a site opens Minimum qualifications Have built at least one RF monitoring or detection system end to end, from receiver and antenna choice through the software that turns captures into alerts Understand RF at the engineering level: propagation, modulation, spectrum analysis and antenna behavior, with hands-on use of the instruments that measure them, such as spectrum analyzers and software-defined radios Have planned and conducted TSCM sweeps yourself and can explain, from having done the work, what a sweep can and cannot find and how an adversary would get past it Have done RF security, TSCM or emanations work hands-on for data centers, critical infrastructure or a large hardware fleet Read and review code, design the data systems behind detection and monitoring tooling, and build automation (often with AI coding agents) using Git and code review Understand compromising emanations and what zoning, shielding and filtering each buy and cost, and write requirements for them that a construction team or a landlord can build to and an assessor can test Direct a specialist vendor without deferring to them: write the scope, check the work, reject a weak report Preferred qualifications Experience assessing compromising emanations and shielding or filtering tradeoffs in a live facility, and applying a formal emanations or counter-surveillance standard, government or commercial (TEMPEST, ICD 705 style construction requirements, or a corporate equivalent) Have built signal classification or spectrum analysis pipelines at scale, or tuned RF detections for a security operations workflow so operators kept trusting them Familiarity with airspace or drone RF detection, and with where it stops and on-site monitoring starts Experience at sites you did not fully control: colocation or multi-tenant facilities, where the RF environment and the walls are not yours alone Have built AI agents or automation that replaced recurring manual security work The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Sydney, Australia 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 Transaction Principal for Australia at Anthropic, you'll drive the commercial sourcing and transaction execution process for our Australian data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems in the region — you'll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets team who own the Australia market strategy and government relationships. This is not an established leasing org; you'll be building process alongside execution. Responsibilities: Lead the RFP and commercial sourcing process for Australian data center deals, managing developer outreach, proposal evaluation, and competitive selection Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure Serve as project manager for cross‑functional stakeholder engagement — coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status Develop and maintain transaction timelines, tracking critical‑path items and proactively identifying risks that could impact deal closure Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms Manage complex digital infrastructure development activities to a construction‑ready state, through a developer or directly Marry the right projects, capital stacks, and developers at the right stages Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint in region Partner with the Compute Markets Manager to prioritize sites and counterparties, and feed deal learnings back into Australia market strategy You may be a good fit if you: Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement Possess a proven track record of managing complex, multi‑stakeholder transactions from sourcing through execution Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously Have experience with RFP processes and competitive sourcing for large‑scale infrastructure or real estate transactions Have experience working in or with Australian markets, with knowledge of the local real estate and development landscape Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives Can operate effectively in fast‑paced, ambiguous environments where processes are being built alongside execution Demonstrate exceptional communication skills and can coordinate effectively across time zones with HQ‑based teams and external partners It's a bonus if you: Have experience with data center or hyperscale infrastructure transactions specifically Come from the development side of the industry rather than traditional brokerage/leasing — you understand how DC development works and how value is created (yield‑on‑cost, cap rates, development fees) Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity Have worked with legal teams on complex lease negotiations or infrastructure agreements Understand utility coordination, power procurement, or energy considerations in data center transactions, particularly in the Australian context (NEM, grid connection) Have relationships within the Australian data center developer and broker ecosystem Have a background in corporate development, strategic partnerships, or infrastructure investment Have experience in high‑growth technology companies managing infrastructure expansion Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE:   At Notion, we believe in building software that adapts to how people work, not the other way around. As we scale globally, we need someone who can ensure our revenue teams are equipped with the knowledge, tools, and processes to succeed across every geography while maintaining our core values and approach to customer relationships. We're looking for a Revenue Enablement Program Manager to turn our global enablement strategy into repeatable programs that drive measurable changes in how our revenue teams work. You'll maintain a consistent global core while tailoring examples, facilitation, sequencing, and practice to the market. You'll partner with Sales Leadership, Revenue Operations, Product Marketing, onboarding teams, and frontline managers to equip the field with the skills, workflows, and just-in-time guidance to execute our GTM strategy. You'll design for practice and proficiency, enable managers to coach and reinforce new behaviors, and use adoption and business signals to continuously improve programs. WHAT YOU'LL ACHIEVE: Global Program Development & Implementation - Champion our global operating cadence to ensure the AMER region is successfully executing our GTM strategy - Design, develop, and program manage comprehensive enablement programs that can be deployed globally and execute them in AMER while maintaining consistency in our selling methodology and GTM goals - Partner with Revenue Operations, Sales Leadership, Product Marketing, and subject matter experts to build scalable curricula, hands-on practice, certification, and continuous learning programs that demonstrate role-based proficiency - Contribute to and maintain the global sales playbook in partnership with its owners, ensuring it reflects practical, repeatable practices across markets - Use AI, automation, and reusable agent-enabled workflows to deliver just-in-time guidance and reinforcement in the tools and workflows revenue teams already use - Define the behaviors each program should change and measure leading indicators such as completion, proficiency, adoption, manager activation, and resource usage alongside downstream outcomes such as time to ramp and productivity. Review results regularly, distinguish correlation from causation, and recommend corrective action when adoption or performance is off track - Lead cross-functional initiatives to align product releases, go-to-market strategies, and enablement rollouts - Partner with onboarding teams to reinforce role-based ramp milestones through hands-on application, practice, and proficiency checks - Build technical and workflow fluency programs that help the field uncover customer needs, translate business problems into practical Notion workflows, and demonstrate their value - Activate frontline managers first with previews, toolkits, coaching prompts, and consistent reinforcement and inspection cadences AMER activation & regional adaptation - Collaborate with regional segment leads to proactively identify segment & market dynamics, competitive landscapes, and customer behavior patterns - Adapt global programs to address regional needs while maintaining core methodology and brand consistency - Create region-specific content, case studies, and competitive battle cards that resonate with local markets - Build feedback loops between regional teams and global program development to continuously improve our approach - Partner with regional managers to coach, inspect, and reinforce priority behaviors in existing team cadences; use field feedback to improve adoption and program design SKILLS YOU'LL NEED TO BRING: Experience & Expertise - 7-10+ years of experience in sales enablement, revenue operations, or similar go-to-market roles - Proven track record of building and scaling enablement programs across multiple geographies, with a consistent global core and effective regional adaptation - Expertise in adult learning methodologies and designing multimodal experiences that build and assess proficiency through practice, application, and reinforcement - High proficiency with the enablement tool stack including emerging AI and automation solutions (ideally AI is already embedded into your workflow) - Experience working with global sales teams and understanding of diverse market dynamics - Strong analytical skills and experience defining target behaviors, tracking leading indicators and business outcomes, and improving programs based on evidence Skills & Qualities - Demonstrate ability to build and automate Enablement and field work through AI workflows - Strategic thinker who can balance global consistency with local relevance - Excellent communication and presentation skills, comfortable working with senior leadership - Natural collaborator who thrives in cross-functional environments - Data-driven approach to decision making with strong attention to detail - Adaptable and comfortable with ambiguity in a fast-growing environment - Passionate about developing people and helping teams reach their potential Technical Requirements - Proficiency with AI tools for workflow development, gamification, content creation, data analysis, and process automation - Strong project management skills with experience managing multiple initiatives simultaneously - Experience enabling frontline managers to coach and reinforce new behaviors - Ability to build or support technical and workflow fluency programs that connect customer needs to practical solutions - Comfortable with sales analytics and performance metrics NICE TO HAVES: - Experience at a high-growth SaaS company - Background in sales, customer success, or revenue-generating roles - International work experience or familiarity with diverse cultural business practices - Experience with Notion or similar productivity tools - Certification in sales methodologies (MEDDIC, Challenger, etc.) Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $205,000 - $245,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is working on frontier AI systems that handle sensitive information at enormous scale. How we protect that data, and how we build privacy into our systems rather than bolting it on afterward, is central to our mission of building AI that is safe and beneficial. As one of our principal privacy engineers, you will be among Anthropic's most senior individual contributors on privacy. You will set technical strategy for how personal data is handled across products, research, and infrastructure, and execute the hardest parts of delivering it. You'll work at the intersection of privacy engineering, distributed systems, and AI safety, on problems without established answers. You will lead through influence, quality of thinking, and trust rather than formal authority. Key responsibilities Define and drive technical strategy and architecture for major areas of privacy, spanning product surfaces, research and training data, internal tooling, and multiple clouds Identify and lead the highest-complexity, company-critical privacy initiatives, guiding engineers across many teams. Be comfortable building the most difficult pieces yourself Architect the primitives that make privacy the default and the safe path the fastest one: data discovery, classification, lineage, purpose-based access control, audit, retention, deletion, and export Turn regulatory, contractual, and consent obligations (e.g., GDPR, CCPA, HIPAA, the EU AI Act) into enforced, continuously verified technical controls in partnership with Legal, Policy, and Compliance team Anticipate where AI capabilities, regulation, and customer expectations are heading, and position our systems ahead of them Mentor and develop staff and senior staff engineers, raise the bar for privacy design across engineering, and help hire senior privacy talent Represent Anthropic's privacy engineering to customers, regulators, standards bodies, and the research community Minimum qualifications A track record of operating as a Principal engineer or equivalent: setting technical direction that multiple teams adopted, and delivering company-critical, multi-year initiatives Deep experience applying privacy engineering principles in production systems with a large user base, including privacy by design, data minimization, and purpose limitation Experience architecting data governance infrastructure (classification, lineage, access control, retention, or deletion) across distributed systems and cloud infrastructure at scale Proficiency in Python, Go, or similar languages; you are effective writing design docs, making architectural calls, and coding in critical paths Understanding of privacy regulations such as GDPR and CCPA, and the ability to work as a peer with legal and policy experts to turn requirements into technical designs Written and verbal communication that builds alignment across engineering, research, legal, and product teams, up to senior leadership Preferred qualifications Experience building privacy infrastructure or controls for machine learning or AI systems, including training data governance or AI agents Hands-on experience with privacy-enhancing technologies (e.g., differential privacy, homomorphic encryption, secure enclaves, secure multi-party computation) Experience establishing or re-architecting a privacy engineering practice under enterprise-customer or regulatory scrutiny Experience briefing executives, auditors, regulators, or enterprise customers on privacy risk, and defending your recommendations under challenge A history of growing engineers into Staff-level and more senior roles Contributions to open-source privacy tooling, privacy research, or industry standards 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: $485,000 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY 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. https://job-boards.greenhouse.io/anthropic/jobs/4669581008 About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. About the role As a Research Engineer on our team you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines. Join us in our mission to develop advanced AI systems pushing the frontiers of science and benefiting humanity. Responsibilities: Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI. Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows Collaborate to translate experimental requirements into production-ready infrastructure Develop large scale data pipelines to handle advanced language model training requirements Optimize large scale training and inference pipelines for stable and efficient reinforcement learning You may be a good fit if you: Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems Are a strong communicator and enjoy working collaboratively Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale Have proven track record of building large-scale data pipelines and distributed storage systems Excel at diagnosing and resolving complex infrastructure challenges in production environments Can work effectively across the full ML stack from data pipelines to performance optimization Have experience collaborating with other researchers to scale experimental ideas Thrive in fast-paced environments and can rapidly iterate from experimentation to production Strong candidates may also have: Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.) Background in building infrastructure for AI research labs or large-scale ML organizations Knowledge of GPU/TPU architectures and  language model inference optimization Experience with cloud platforms (AWS, GCP) at enterprise scale Familiarity with VM and container orchestration. Experience with workflow orchestration tools and experiment management systems History working with large scale reinforcement learning Comfort with large scale data pipelines (Beam, Spark, Dask, …) 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: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's enterprise market. You'll own the full sales cycle from prospecting to close, working with C-level executives at major Japanese corporations to help them transform their businesses with Anthropic's AI solutions. Responsibilities: Own and exceed revenue targets by winning new enterprise accounts and expanding existing relationships across Japan Build and execute territory plans, identifying high-value opportunities in key Japanese industries including financial services, healthcare, technology, and manufacturing Lead consultative sales processes with C-suite and senior technical stakeholders, positioning AI as a strategic business transformation driver Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver customized solutions for complex enterprise requirements Identify new use cases and contribute to Japan go-to-market strategy, providing critical feedback to shape product roadmap and regional approach Translate technical AI capabilities into compelling business value propositions tailored to Japanese market needs You may be a good fit if you have: 8+ years of enterprise sales experience in Japan driving adoption of emerging technologies with a consultative, solutions-oriented sales approach Native-level Japanese fluency and business-level English required A track record of managing complex sales cycles and securing strategic deals in the Japanese market by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate Japanese enterprise stakeholder ecosystems, building consensus through relationship-building and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders in Japanese corporate environments Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills in both Japanese and English, with the ability to present confidently and build connections across all customer levels, from individual contributors to C-level executives A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player who thrives in ambiguous, startup-like environments A strategic, analytical approach to assessing Japanese markets combined with creative, tactical execution to capture opportunities in key industries Deep understanding of Japanese business culture, enterprise buying processes, and regulatory landscape A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Strong candidates may have: Experience selling emerging technologies (AI/ML, cloud platforms, or data analytics) to Japanese enterprises Established relationships with senior executives at major Japanese corporations Experience navigating Japanese procurement processes and working with system integrators Understanding of AI/ML concepts and ability to discuss technical architectures What We Offer Competitive base salary and commission structure commensurate with experience Equity participation Comprehensive benefits package Hybrid work model with flexibility Opportunity to shape the future of AI adoption in Japan Access to cutting-edge AI technology and world-class research team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Sydney, Australia 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 Partner Account Manager ANZ you will help manage and execute the partnerships that accelerate Claude adoption, unlock new capabilities and drive outcomes for our joint customers across Australia and New Zealand. You will own a defined set of named partners end to end — a mix of (a) in-country ANZ practices of our global system integrators (e.g. Accenture, Deloitte, Cognizant) and consulting houses (BCG, McKinsey), where you work hand in hand with the GSI alliance owners who hold the global relationships, and (b) regional system integrators, consultancies and AI-native boutiques that ANZ enterprises and the Public Sector actually consume delivery services from. The ANZ partner book is split between you and the Head of Partnerships ANZ & ASEAN; for every partner assigned to you, you own the plan, the enablement path, the co-sell motion with our ANZ sales team and the partner-sourced, partner-influenced and partner-delivered pipeline that results from it. This is a builder role: partner-sourced pipeline in ANZ is still a small fraction of our open pipeline, and there is a first playbook but no established machine. We need someone who has taken partnerships from zero to a repeatable revenue engine in this market before, not someone who has inherited and administered an existing partner book. Key responsibilities Partner development and execution: Run each partner as a structured pursuit: stakeholder map (country lead, AI/data practice lead, alliance lead, key account partners), joint account plan, agreed target accounts and a quarterly cadence. For your assigned GSI country practices: activate the ANZ teams against the global frameworks and translate them into concrete joint accounts. For your assigned regional SIs / boutiques: build the relationship from scratch (selection, onboarding into the Claude Partner Network, enablement, first joint deals). Guide partners in building repeatable Claude offerings (Claude Code / agentic engineering rollouts, agentic use cases, enterprise adoption programs) for the priority ANZ industries: financial services and insurance, public sector, retail, energy and resources, healthcare, telco, media and tech, and digital natives. Drive co-selling with the ANZ AEs, Applied AI and Technical Success teams: introduce partners into the right accounts, bring partner-sourced opportunities to sales, and make sure every partner-attached deal is tagged correctly in Salesforce. Performance and KPI ownership: Own and drive the KPIs for your portfolio: Partner delivered use-cases, partner-sourced pipeline, partner-influenced pipeline and revenue, consultants enabled and certified, partners progressing through CPN tiers, joint proposals submitted. Establish clear success metrics with each partner and drive regular business reviews against targets Report on partnership health, progress, and commercial outcomes with data-driven insights Every deal that runs through your partners must be set up for customer success and expansion: agree success criteria for joint accounts, make sure the partner delivers implementation and adoption support, and feed what you learn back into our partner program and the ANZ sales team. Market development and brand building Represent Anthropic in the ANZ partner ecosystem — partner events, joint customer events, and partner-led marketing. Adapt the global partner playbook to ANZ buying behaviour (a concentrated enterprise market of banks, miners, retailers and telcos, federal and state government panels, long procurement cycles, and a preference for local delivery partners) and decide deliberately what not to copy. Navigate the regulatory and sovereignty topics that come up in almost every ANZ deal (the Australian and NZ Privacy Acts, APRA CPS 230 and CPS 234, IRAP and government security requirements, critical infrastructure rules, data residency, and regulated industries such as banking, insurance and health) together with the partner and our internal experts. Build differentiated joint value propositions with partners so that Claude is the default recommendation of the ANZ consulting ecosystem. You may be a good fit if you have: Builder mentality — comfortable starting from a small base and turning it into a scaled partner business; you enjoy doing the work yourself. 7+ years of partner / alliances / channel experience with system integrators and consultancies in ANZ, ideally at a cloud, data or AI platform company. Existing relationships in the ANZ practices of the large SIs and/or with the regional consultancies and boutiques — you know who runs the AI and data practices in Australia and New Zealand. Data-driven, KPI-oriented and comfortable being measured on partner-sourced pipeline; a track record of driving incremental revenue through partners in ANZ. History of protecting the customer experience and the brand through partners — you say no to partners that cannot deliver. Competitive drive — obsessed with winning and creating differentiation Collaborative — you work as an extension of the ANZ sales team and with Applied AI, Technical Success, partner marketing and the global GSI alliance owners. Strong executive presence; able to run partner executive conversations and enablement sessions. Based in Australia, ideally Sydney; Melbourne or Brisbane are feasible with regular time in Sydney. Willing to travel regularly within Australia and New Zealand, and occasionally to Europe and USA. Passion for AI and alignment with Anthropic's mission of beneficial AI development Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY 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. Many of the people who could gain the most from Claude are the least able to buy it the usual way. A teacher often pays for tools out of pocket. A small nonprofit has no procurement team. A university lab that wants to use Claude has to go through funding, an IT office, and a purchasing department at once. Beneficial Deployments works to reach them, through programs like Claude for Teachers and Claude for Nonprofits and through our work with researchers. What stands between those people and Claude is rarely the model. It's proving they qualify, getting the right price, buying in a way their institution allows, and landing in the right organization with the right permissions. Those steps run through identity, billing, provisioning, and fraud systems that were built for commercial customers. Our Access team makes them work for everyone else. We're looking for engineers who find it deeply satisfying to remove the one thing stopping thousands of teachers or scientists from getting started. You'll work in other teams' codebases as often as our own, and much of the job is earning the trust of the engineers, accountants, and safety reviewers who own those systems. This role's focus is access. Experience with billing or identity is a big plus. What matters most is that you finish hard things that cross team lines, get the details right when money and trust are involved, and care about who is on the other end. Core Responsibilities: Own programs like Claude for Teachers or Claude for Nonprofits from design through launch, operation, and support Support the verification lifecycle: how educators, nonprofits, and research labs prove eligibility, get reviewed at scale, renew, and are removed fairly when they no longer qualify Build pricing, billing, and provisioning that understands programs, including discounts, usage caps, credits, tax exemption, and self-serve purchase, so the next program is configuration rather than a project Build safe paths for organizations to move between their available plans and manage their teams, without losing data, seats, or history Work directly in partner teams' systems, such as billing, identity, and Safeguards Design for trust, with controls and audit trails that stand up to financial audit and student-privacy requirements Turn manual review, one-off fixes, and hand-run testing into tools that support, sales, and finance can use themselves Share on-call for program issues, and use what you see there to decide what to build next You might be a good fit if you: Have 6+ years of experience building software, with strong backend or full-stack skills and solid grounding in data modeling, APIs, and databases Have owned systems where mistakes are expensive, such as billing, payments, identity, entitlements, provisioning, or eligibility Have a track record of finishing work that depended on several teams, without formal authority over any of them Are comfortable in a large codebase you don't own, and learn the rules its owners care about Sweat correctness and edge cases, and can say clearly what you tested and what you didn't Enjoy unblocking people and closing things out, and leave the underlying system better each time Prioritize well when demand is larger than capacity, including saying no and explaining why Communicate clearly across engineering, finance, sales, and support, and care about the societal impacts of your work Strong candidates may also: Experience with subscription or usage-based billing, quote-to-cash, tax, or revenue systems, such as Stripe, Metronome, or Salesforce CPQ, or with building under SOX controls Experience with verification, KYC, fraud, or trust and safety systems Experience with enterprise identity and administration, such as SSO, SCIM, or large account and data migrations Experience building for schools, nonprofits, research institutions, healthcare, or government, or working with FERPA or similar privacy rules Experience launching in new countries, including currency, tax, language, and local eligibility Experience building products with large language models, or using coding agents heavily in your own engineering work Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude Design lets anyone collaborate with Claude to create polished visual work: interactive prototypes, product mockups, slides, and animations. We're making Claude the best visual storyteller there is, lowering the floor so anyone can bring an idea to life, and raising the ceiling on what the most skilled creators can make. We work on Artifacts in Claude, and so far we've shipped new kinds of artifacts like Claude Design, Slides, Whiteboard , and Motion, and we are exploring new bets. We're looking for Software Engineers to help build and shape Claude Design and the creative capabilities of Claude. We are exploring the frontier of how Claude collaborates with people visually, and how Claude can empower better human to human collaboration as well. You'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, partnering directly with researchers and users, and helping to generate the crucial insights that shape where the product goes next. You'll join a small, fast-moving team with high autonomy. If you're a strong design engineer who loves building visual products and likes to sweat the details, we'd love to hear from you. Key responsibilities Build and ship user-facing features across our products, and help decide which creative spaces we explore next Set technical direction for these products, including editor and canvas architecture, real-time collaboration, and rich import and export Own the quality bar for how these products look and feel, treating latency, responsiveness, and reliability as first-class concerns and raising user experience and design considerations early Partner with researchers to rapidly prototype experiences around vision and generation capabilities, and help improve the quality of what Claude generates Spend time with users and dig into how people actually use what you ship, then turn what you learn into what we build next Build the shared foundations that let us launch new creative tools quickly and make them work well together Minimum qualifications Strong design sensibility and a high bar for craft, including attention to interaction details, motion, and polish Ability to thrive in ambiguity and be energized by uncertainty High agency, good judgment about what matters, and a bias toward shipping A deeply user-centric approach: you validate ideas with actual users before over-investing and talk about problems before solutions Strong opinions held loosely: you advocate forcefully for ideas but change your mind based on evidence Care for Anthropic's mission and the societal impacts of your work Preferred qualifications Extensive experience working with or building visual collaboration and creative tools Experience with UI and UX for AI-powered applications, and fluency collaborating closely with designers Background conducting user research, interviews, and usability testing Experience building and shipping products from 0 to 1 Experience building product platforms, primitives, or shared foundations that other products and teams build on top of Performance optimization experience, such as profiling, improving rendering, and tracing end-to-end latency The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC 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 Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security and control commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building continuous assurance, to challenge and evidence the performance of controls continuously rather than through periodic audits. As Anthropic scales to meet public-company standards, the Sarbanes-Oxley (SOX) control environment over our technology stack is one of the most consequential things this team will drive. Within Security GRC's technical controls assurance function, you will be a hands-on senior contributor on what the IT general controls must achieve to support SOX 404 compliance. You will work as a peer to Internal Audit's IT SOX team: Internal Audit tests independently, and you define the control requirements, monitor that controls operate, and make sure evidence is audit-ready before Internal Audit and our external auditors test it. You will pair with Engineering, Security, IT, and Finance as they design and implement against those requirements, and validate that what ships actually meets the bar. You will also work with GRC engineering to automate evidence collection and continuous monitoring, starting with ITGCs and extending into other areas of security and compliance. This role reports to the Head of Security Controls Assurance and is well suited to someone who wants to stay close to the work and change how a frontier AI company builds its compliance infrastructure. Key responsibilities Define control requirements and acceptance criteria across the core ITGC domains of logical access, change management, operations, and program development for SOX in-scope systems, including home-built platforms where the control has to be designed into the system. Set the bar for in-scope systems from day one. As financially significant systems are built, migrated, or replaced, define what the system must provide before go-live, and assess SDLC controls for new system implementations and changes so controls are not retrofitted after the fact. Pressure-test changes for SOX impact during design. Review major infrastructure, system, and agent framework changes for control impact while decisions are still cheap, and keep a clear view of which changes alter the SOX scope, key control population, or evidence requirements. Perform second-line monitoring and readiness testing. Test key ITGCs and IT automated controls (ITACs) ahead of Internal Audit and the external auditors, including walkthrough preparation and validation that populations are complete and accurate, and support the move from manual to automated control reliance. Build continuous monitoring and evidence readiness with GRC engineering. Stand up automated evidence collection and monitoring for ITGCs, map controls to the common controls framework, and materially raise automated evidence coverage while cutting audit prep time. Run system and process risk assessments. Identify control gaps in in-scope systems and processes, and recommend remediation that engineering owners can act on. Drive control deficiency remediation with cross-functional partners. Track and root-cause ITGC deficiencies surfaced by monitoring, Internal Audit, or external audit; partner with engineering owners on remediation design; and assess whether remediation actually closes the gap before re-testing. Support the external audit with Finance and Internal Audit. Prepare walkthroughs, evidence requests, and testing schedules on management's side, and keep the line clear between your monitoring and Internal Audit's independent testing. Assess scope changes through a SOX lens. When new products, entities, systems, or integrations come into scope, assess their impact on control design, evidence requirements, and engineering effort before commitments are made. Maintain alignment with the broader compliance portfolio. Support the controls and evidence behind SEC cybersecurity disclosure requirements. You may be a good fit if you Thrive at the pace of a hypergrowth company. You're comfortable making calls with incomplete information and reprioritizing as scope shifts. Have been a senior contributor to an ITGC program through SOX 404 readiness and/or at a public company, with a working command of PCAOB AS 2201, COSO 2013, and how external auditors scope, test, and evaluate technology controls and deficiencies. Have hands-on IT audit or IT SOX experience designing, testing, and documenting controls across access management, change management, and operations. Have hands-on engineering fluency, possibly from an earlier engineering career: you can read code and Terraform, follow a CI/CD pipeline end to end, and challenge a design on its technical merits. Have deep familiarity with developer platforms, release engineering, cloud infrastructure, or ERP/financial systems control domains. Are a strong collaborator and communicator across Finance, Engineering, Internal Audit, and external auditors, and can work independently on complex workstreams while keeping senior stakeholders informed. Use Claude and other LLMs as daily working tools, and have grounded, specific views on which SOX assurance workflows AI can run today and which it can't yet. Translate SOX and framework language into acceptance criteria engineers can build against, and translate engineering reality back into assurance language auditors and leadership can rely on. Default to getting the requirement designed into the system rather than papering over the gap with procedure. Strong candidates may have A combination of audit or advisory experience (Big 4 or equivalent, ideally IT audit) with in-house experience at an AI-forward tech company, in either order. 12+ years of hands-on IT audit and SOX compliance experience. Taken a company through a first-year SOX 404(a) and 404(b) assessment, including a first external ITGC audit. Experience at a pre-IPO or newly public technology company. Defined or assessed controls over home-built financially significant systems, usage-based billing, or revenue metering pipelines. Defined or assessed controls for AI/ML systems or agents acting in production environments. Stood up continuous controls monitoring or automated evidence programs. Experience with SOC 1 reliance, service organization control mapping, and complementary user entity controls. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY 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 There are close to a billion knowledge workers in the world, and only a small fraction of them have worked with AI that makes them better at what they do. In the enterprise, reaching the rest depends on the IT, security, and business leaders who decide whether to adopt AI, and the admins who decide how it's deployed, governed, and scaled across their organizations. They ask hard questions before they say yes, and this role owns how we answer them. We're looking for a Product Marketing Manager to own positioning for Claude's core knowledge-work products (Chat, Cowork, and the broader non-coding suite) for enterprise decision makers and admins. You'll work across the areas that matter most to enterprise customers today: security and observability, workspace management and deployment controls, and pricing and packaging. You'll own the materials that help a decision maker or admin understand what's possible, roll Claude out with confidence, and make the case internally, including product launches, the website, pitch decks, battlecards, persona narratives, pricing and packaging story, and admin communications. Beyond making the case for adopting AI, you'll help the people accountable for deploying it do that safely, and show them exactly how to put it to work across their organizations. This is an individual-contributor role for someone who loves the hands-on work of product marketing, on products with enormous, established usage and a fast launch cadence. You'll write the positioning doc, build the battlecard, and ship the persona work yourself, and you'll use Claude to keep it all current, so the teams that depend on it can trust it. This role is for you if you've owned the full product marketing stack for a widely used enterprise product and know how to speak credibly to business, IT, and security audiences. You probably also turn your own PMM work into systems rather than one-off documents, and you want your writing to be the reason enterprise decision makers and admins say yes to rolling out and scaling Claude. Key responsibilities Define the story that earns enterprise trust. Own the positioning and messaging house for Chat, Cowork, and Claude's core knowledge-work products for admins, so every deck, campaign, and piece of content makes the same case for adopting and scaling Claude. Own the story for how enterprises run Claude. Lead positioning and launches across security and observability, workspace management, and the controls for managing deployments, working with Product to turn new capabilities into clear reasons to adopt and expand. Give sellers the conviction to close. Build and maintain the sales enablement assets (pitch decks, battle cards, objection handling) that help GTM answer security, deployment, and pricing questions with confidence. Help decision makers and admins make the call. Own the proof points, comparisons, and narratives that help decision makers, admins, and their IT and security teams evaluate Claude and justify the investment and rollout internally. Make our pricing and packaging easy to understand and buy. Partner with Product, Finance, and GTM on how we present plans, pricing, and packaging for Claude Enterprise, and build the cost and value story that helps customers make the case to scale. Make sure the message reaches the right person, in their language. Develop ICP and persona frameworks that cover a varied base of enterprise decision makers and admins (executive buyers, IT, security, compliance, and workspace owners) in enough detail to shape messaging and campaigns for each one. Make our website answer buyers' questions. Own the website and product page messaging for Claude Enterprise, including how we present admin controls, security, governance, and plans and pricing. It's often where a buyer or admin decides whether to take a closer look. Turn scattered wins into a playbook others can run. Build libraries of top enterprise deployment and admin use cases by product and by function or industry, so the best examples of successful rollouts become patterns anyone can copy. Prepare admins for what's next. Partner with Product and Comms on enterprise launches so admins know what's changing, what controls they have, and what to do next, through clear admin communications, help content, and ongoing education. Keep every team telling the same story. Partner closely with GTM, Marketing, and Partners so they're always working from current, consistent materials. "Claudify" our own foundations. Use Claude, including Skills and automations, to build systems that keep positioning, messaging, personas, and enablement current, so you're working the way we ask our customers to work. Support analyst relations. Contribute materials for the enterprise knowledge-work portfolio where they overlap with your positioning and messaging work. Minimum qualifications Have owned positioning and messaging for an established enterprise software product, with decision makers and IT, security, or admin teams as a core audience Have worked on enterprise pricing and packaging, including how plans are presented, how changes are communicated, and how the value story holds up with buyers Have built ICP and persona frameworks and translated research into messaging that works across websites, collateral, campaigns, and content Have built sales enablement assets and worked directly with sales teams on objection handling and win/loss analysis Understand how enterprises evaluate, buy, deploy, and govern software, including identity and access, security and compliance review, data governance, observability, workspace management, and usage and spend controls Have strong writing and storytelling skills, with the ability to make technical topics clear and adapt tone and complexity across formats like pitch decks, web copy, battlecards, and admin communications Are comfortable operating autonomously as an IC, writing and shipping assets directly rather than through a team Demonstrate systems thinking, and the ability to move fast and with conviction in an always-evolving environment Are well-versed in using AI, especially Claude, to inform and automate product marketing work, and have built systems that update PMM foundations and share them with the teams who depend on them Have experience marketing AI or productivity software to enterprise decision makers and IT, security, or admin audiences Preferred qualifications 7+ years of product marketing experience with experience as a Senior PMM or PMM Lead at an enterprise productivity, collaboration, or knowledge-work software company with ownership of admin, security, platform, or pricing positioning Experience marketing to customers in regulated industries (e.g., financial services, healthcare) Experience building admin education or community programs Experience with analyst relations processes and reports (e.g., Gartner, Forrester) Experience with usage-based or consumption pricing Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Los Angeles, USA Riot is building the capabilities to carry AI and machine learning from promise, through prototype, into reliable production systems. AI Foundations helps make that possible by building shared platforms and enabling teams across Riot to deliver meaningful AI-powered outcomes. We are looking for an engineering leader to oversee the AI Foundations engineering organization. You will be accountable for the technical impact of the group including organizational health, operational excellence, software and machine learning craft quality, and engineering output. All Engineering Managers in AI Foundations will report into this role. You will partner with product and executive leaders to connect Riot’s goals to a clear charter, long-term roadmap, and investment choices. The role calls for an organization-level leader who stays technically engaged: close enough to understand the engineering realities, guide important decisions, and address risks, while creating the clarity and space for managers and teams to lead execution. Responsibilities: Set technical strategy and direction. Work with product and engineering partners to shape AI Foundations’ charter, priorities, and long-term roadmap. Translate organizational goals into clear outcomes, make deliberate investment and trade-off decisions, and explain what the organization will and will not take on. Lead and develop the engineering management organization. Set clear expectations, coach managers to take ownership and deliver results, uphold a consistent engineering-management and performance bar, and identify and develop future leaders. Own the organization’s results. Be accountable for the total output and outcomes of multiple teams. Ensure teams understand their goals and value, evaluate commitments against the roadmap, make delivery and risks visible, and act quickly to unblock or accelerate work when needed. Build the organization and its capabilities. Plan for future staffing and skills, identify gaps against the roadmap, and develop role or team proposals grounded in opportunity and cost. Partner with Talent on hiring and onboarding, make hiring decisions at the appropriate level, and drive strategic planning, forecasting, and compensation planning for the organization. Guide technical quality and operational ownership. Stay engaged in the technical outcomes across AI/ML, software, data, and agentic systems. Build alignment on architecture and technical strategy; ensure teams deliver reliable, secure, maintainable production systems with appropriate evaluation, observability, incident response, and ownership. Make sound trade-offs across quality, reliability, latency, cost, and technical sustainability. Improve how the organization works. Build operating mechanisms that improve efficiency, team health, and delivery transparency. Address recurring friction, misalignment, and unresolved risks directly. Ensure the organization learns from operational issues and changes course as needed. Create leverage across Riot. Build trusted partnerships across game teams and central functions. Share reusable engineering patterns, platform capabilities, evaluation approaches, and lessons learned so AI Foundations’ work strengthens Riot’s ability to build and operate AI systems beyond any one team. Communicate with clarity. Make decisions, trade-offs, and uncertainty legible to managers, engineers, product partners, game leaders, and executives. Surface risks early, give timely and actionable feedback, and resolve difficult conversations with candor and sound judgment. Required Qualifications: 12+ years of industry experience in software engineering, machine learning engineering, AI, or a closely related discipline, including 8+ years of management experience. Proven ability to coach managers, set clear expectations, manage performance, develop future leaders, and maintain a high and consistent engineering bar with accountability for organization-wide outcomes. A strong record of building, shipping, and operating production software, AI/ML systems, or platforms that deliver measurable value to players, customers, or internal teams. Strong technical credibility and judgment across software systems and AI/ML—sufficient to assess architecture, quality, operational health, reliability, scale, security, cost, and user impact, and to guide technical direction across teams. Demonstrated ability to turn ambiguous product or business needs into an organization strategy, long-term roadmap, measurable outcomes, and clear priorities; make trade-offs based on mission, capacity, and impact; and maintain alignment as plans change. Experience shaping organizational capacity and capabilities, including identifying skills gaps, planning staffing, and making sound hiring and investment decisions. Demonstrated ability to build trust and influence across organizational boundaries, including with product, game, platform, data, research, and executive partners. Excellent written and verbal communication, with a bias toward clarity, explicit ownership, timely feedback, and candid discussion of uncertainty. Sound judgment around responsible AI and production risk, including privacy, security, safety, and the operational consequences of deploying AI-enabled systems. Experience in live-service games, interactive entertainment, consumer products, or other high-scale, real-time environments. Experience with one or more areas such as generative AI, LLM applications, agentic systems, personalization, recommendations, ranking, player modeling, game AI, reinforcement learning, computer vision, or multimodal systems. Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field; or equivalent practical experience. Desired Qualifications: Experience partnering across data engineering and platform teams on model development and operations, including data and feature pipelines, inference services, orchestration, model registries, evaluation, or ML observability. Experience building AI/ML products, shared platforms, developer tools, or technical capabilities used by multiple product groups. Graduate degree in Computer Science, Engineering, Machine Learning, or a related field. For this role, you'll find success through craft expertise and a collaborative spirit that prioritizes the delight of players. We will look at your past studies and experience, but for this role, we also look for dedicated people with a personal relationship with games. If you embody player empathy and care about p layers' experiences, this is the role for you! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.