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Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Tax team is hiring a Tax Director to own the company's global income tax provision and US income tax compliance function. This is a core operational leadership role: you will run the quarterly and annual ASC 740 close, manage the co-sourced compliance program, and build the processes, controls, and team that keep both scaling with the company. What makes this seat unusual is what flows through it. Anthropic is deploying capital into compute and data center infrastructure at a scale and pace with few precedents, alongside an active program of acquisitions, joint ventures, and strategic investments — and every one of those transactions lands in the provision and the returns. We prefer candidates who bring familiarity and hands-on experience with complex M&A and infrastructure transactions on top of the core provision and compliance skill set: someone who can own the tax purchase price allocation workpapers, write the technical memo on a novel financing or lease structure, and then carry that answer correctly through the ASC 740 close and into the compliance workstream. Key responsibilities Own the quarterly and annual worldwide income tax provision: current and deferred computations, effective tax rate reconciliation, deferred tax inventory and valuation allowance assessments, stock-based compensation, uncertain tax positions, and return-to-provision true-ups Own the tax journal entries, account reconciliations, income tax footnote and disclosures, and the supporting workpapers and SOX controls; manage the financial statement audit relationship with our Big 4 auditors Coordinate the international components of the provision with the team and outside advisors, and drive continuous improvement in close speed and quality Manage the US federal and state income tax compliance program, working with our co-sourced Big 4 providers: returns, estimated payments and extensions, elections and disclosures, and the compliance calendar Own cash tax forecasting and support tax authority notices, examinations, and audit defense Drive automation and tax technology adoption across the provision and compliance processes, including AI tooling Own tax purchase price allocation workpapers for acquisitions: taxable vs. nontaxable characterization, ASC 805 opening balance sheet deferred taxes, goodwill component analysis, and reconciliation to the tax basis balance sheet — plus tax diligence, structuring, and integration (reorganization qualification, equity compensation in deals, Section 382, transaction costs, stub period returns) Analyze data center and compute infrastructure arrangements — lease classification, sale-leasebacks, Section 467 rent schedules, build-out cost recovery — and the financing structures around them: debt vs. equity characterization, prepayments, vendor financing, warrants and equity instruments in commercial agreements, and joint venture formations and buyouts Prepare and review technical memos documenting positions for auditors and leadership, and model the cash tax and effective tax rate consequences of proposed structures for Corp Dev, Finance, and Legal while deals are being negotiated Mentor and develop tax team members and help build the function as the company grows Manage outside advisors on opinions, studies, and valuations, and own those budgets and relationships Minimum qualifications Have substantial experience managing a corporate tax function in the multinational software and technology industry, including hands-on experience running the income tax provision and compliance processes, with a combination of Big 4 public accounting and in-house tax department experience Have owned the full ASC 740 provision cycle at a multinational company — not just reviewed pieces of it — including deferred taxes, valuation allowance judgments, uncertain tax positions, footnote and disclosures, SOX controls, and auditor management Have managed a US federal and state income tax compliance program at scale, including co-sourced arrangements with Big 4 providers Bring familiarity and hands-on experience with complex M&A transactions — tax purchase price allocations, ASC 805 opening balance sheet accounting, diligence and structuring — and ideally experience with infrastructure leases, build-outs, and the financing arrangements behind them Write clear, well-organized technical memos that hold up with Big 4 auditors, and can explain the same issue in plain terms to non-tax partners Hold a CPA; a Master's in Taxation or LLM is a plus Thrive on novel fact patterns and ambiguity, and default to building the workpaper and writing the position down rather than waiting for a template Preferred qualifications Familiarity and experience with data center or similar capital-intensive infrastructure transactions — hyperscaler-scale compute, energy, or telecom deals, project finance, or joint venture structures Experience analyzing warrants, convertible instruments, or other equity components embedded in commercial and supply agreements, and debt-equity analysis for intercompany and third-party financing An interest in applying AI tools to tax workflows The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Morocco Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. LEAP Program Description Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries. The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country. About the Position The Senior Global Health Security (GHS) Advisor will support the Moroccan Ministry of Health and Social Protection Department of Epidemiology and Disease Control (DELM) in carrying out life-saving health assistance in full alignment with the U.S. Presidential Executive Order (EO) directives.  The primary focus of the Advisor will be technical support with a special emphasis on preventing, detecting, and responding to emerging infectious disease threats which impact public health. The Senior GHS Advisor will support a One Health (the intersection of human, animal, and environmental health) approach among multi-sectoral Government Departments and Agencies - such as the Ministry of Health, Agriculture, and Environment- for the effective adoption and implementation of life saving interventions focusing on preventing, detecting and responding to emerging infectious disease threats with public health potential.  The Senior GHS Advisor will identify programmatic bottlenecks and facilitate solutions through coordinated technical support and facilitation of effort through GHS projects. The Senior GHS Advisor will be based within the Ministry of Health and Social Protection.  The advisor will receive direction from the appropriate Ministry staff, who will serve as the onsite Manager/Supervisor.  Familiarity with USAID/Department of State programming and C/AOR experience are highly desirable as the advisor is expected to support the implementation of the GHS portfolio.  The advisor will report to the U.S. Department of State on a weekly and monthly basis. Responsibilities With input from the Moroccan Ministry of Health and Social Protection, GHS envisions two Senior GHS advisors will support the Ministry under this program.  The profile of each advisor is as follows: An expert in epidemiology and public health, responsible for improving human health outcomes in line with a One Health approach, which includes enhancing multisectoral coordination to detect, respond, and mitigate the health security threat of high-risk zoonotic diseases with human epidemic potential. The advisor will be responsible for the interpretation of epidemiological trends, as well as the development of reports, summaries, and bulletins; An expert in management and monitoring-evaluation, responsible for supporting the monitoring and evaluation of performance indicators related to emerging infectious diseases, the establishment of dashboards, gap analysis, and the strengthening of steering and reporting tools. In addition to these areas of expertise, the advisor will also have the following responsibilities: Support multisectoral ministries in effective delivery of life-saving health assistance through utilization of domestic and donors’ resources (e.g., Global Fund). Assist the relevant ministries with effective delivery of LHA GHS services, including but not limited: community-based active surveillance, systems capacity for detecting priority diseases/threats, data systems for monitoring, analyzing, and reporting on threats, infection prevention and control (IPC), including commodities and WASH in healthcare facilities, case management, including Emergency Management including Emergency Operating Centers (EOC) and Point of Entry Screening, Risk Communication and Community Engagement, Emergency outbreak response. Provide technical support and actively engage with field work to implement programmatic and response interventions at national and sub-national levels. Assist in monitoring the progress of GHS program implementation and provide recommendations for improvements in service delivery. Review and analyze performance reports submitted to the Global Fund (GF), and other partners. Help organize regular discussions among the multisectoral stakeholders and partners to ensure alignment of technical approaches in the respective GHS portfolio. Provide support to the appropriate multisectoral ministries in identification of performance gaps, potential barriers and bottlenecks, and facilitate consensus on targeted interventions to improve performance on key indicators attributable to: A reduction in incidence and mortality for epidemic and pandemic prone diseases. Strengthening systems to prevent, detect, and respond to infectious disease threats. Rapid and effective responses to infectious disease outbreaks posing a threat to public health. Support the implementation and expansion of best practices in GHS and outbreak response nationwide. Support MoHP and other relevant Ministries in routine review of service delivery processes and outcomes. Promote the dissemination of best practices and effective models nationwide. Promote prioritized interventions in effective community-based active surveillance, strengthening systems capacity for detecting priority diseases/threats, and data systems for monitoring, analyzing, and reporting on threats. Support the adoption of infection prevention and control (IPC), including commodities and WASH in healthcare facilities, and case management. Support and strengthen Emergency Management including Emergency Operating Centers (EOC) and Point of Entry (POE) screening; risk communication. Support the relevant Ministries to rapidly and accurately report infectious diseases threats to the relevant, domestic and international system– such as the International Health Regulations (IHR) 7-1-7 Outbreak Response Model and World Animal Health Information System (WAHIS) for quick responses to pandemic threats. Assist the relevant multisectoral Ministers in emergency outbreak responses as needed. Assist the relevant multisectoral Ministries to achieve the relevant GHS-related targets including the Joint External Evaluation (JEE); IHR States Parties Self-Assessment (SPAR); and the Pandemic Fund Framework which includes reporting on the 7-1-7 target (7 days to detect, 1 day to report, 7 days to complete the initial response) Support the relevant Ministries in effective utilization of Pandemic Fund grants, other donors’ resources, and emergency outbreak responses efforts. Provide technical support to develop Pandemic Fund grant applications and support grant implementation review to ensure effective grant implementation and avoid duplication with US Government funded projects. Consult relevant stakeholders on required technical assistance. Assist in monitoring the progress of grant implementation. Review and analyze performance reports submitted to the Pandemic Fund and other partners. Help organize regular discussions among the relevant multisectoral stakeholders, Ministries, and donors, and State to ensure alignment of technical approaches in the respective GHS portfolios. Support emergency outbreak response including assisting with mobilizing resources, coordination of efforts, and technical support for efforts to contain and respond to the outbreak. Communications: Participate in regular conference calls with multisectoral stakeholders, U.S. Embassy and GHSD Washington to review progress, discuss activities and address emerging issues. Provide information and avail him/herself for calls/meetings with the U.S. Embassy as requested. Provide monthly reports to US Embassy/U.S. Department of State. REPORTING: The Senior Advisor will provide a detailed monthly report to the U.S. Department of State submitted by the 5th day of the following month.  Additionally, the Advisor will submit a weekly progress report to U.S. Embassy/Department of State (and participate in weekly calls) to include a short paragraph about main successes for that week. Qualifications Advanced Degree: A master’s or doctoral degree in public health, epidemiology, global health, medicine, or a related field. At least 7 years in global health security, infectious disease prevention and control, or health systems strengthening. Proven ability to lead teams, manage complex projects, and coordinate with multiple stakeholders, including government agencies, donors, and implementing partners. Demonstrated expertise in areas such as: disease surveillance and outbreak response, laboratory systems strengthening, risk communication and community engagement. At least 5 years of USG experience as well as partners management. Proven ability to provide high-level technical advice to government officials, international organizations, and other stakeholders. Experience managing complex health programs, including planning, implementation, monitoring, and evaluation. Ability to establish and maintain effective working relationships with government officials, donors, NGOs, and community organizations. Strong ability to work with diverse stakeholders, including government agencies, donors, NGOs, and multilateral organizations. Strong written and verbal communication skills in English and French. Proficiency in Arabic/Darija preferred. Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As a Technical Program Manager at Humanoid, you will own the planning and execution of complex robotics development programs, ensuring predictable delivery of our next-generation humanoid systems. You will lead cross-functional development across hardware and software, coordinating efforts across Boston, Vancouver, and London to deliver highly integrated robotic platforms. This is a high-impact role requiring strong technical judgment, systems thinking, and the ability to drive execution across deeply interdependent teams. What Makes This Role Exciting - Drive execution of next-generation humanoid robot programs from concept to deployment - Work at the intersection of hardware, embedded systems, AI, and robotics - Coordinate globally distributed engineering teams spanning multiple time zones - Tackle the complex challenges of scaling robotics systems into products that work in the real world - Play a critical role in delivering robots that operate in real environments, at scale WHAT YOU'LL DO Own the end-to-end planning and execution of a portfolio of projects in a robot new product introduction program, where you’ll be accountable for scope, schedule, cost, and process. While your projects center on development of a hardware platform, it is deeply cross-functional, spanning Systems, Safety, Mechanical, Electrical, Firmware, Software, AI/ML, DFX, Regulatory, Integration, Test, Supply Chain, Design, Product, Marketing, Logistics, and more. Drive execution Track and motivate program and project progress end-to-end, coordinating across many teams and sites and suppliers to predictably execute the plan. Proactively anticipate risks, put mitigation plans in place, and manage them actively. Urgently identify, prioritize, and clear blockers. Lead people and stakeholders Empathize with, partner with, negotiate with, and manage stakeholders, using tactful and effective approaches to build alignment and secure commitments. Establish efficient, clear, and timely program communication, tailored to your audience and optimized for the real challenges of collaborating across distances, cultures, and time zones. Bring judgment Based on situational awareness, operate fluidly between the strategic and the detailed. Apply systems thinking, perspective, and technical judgment to bring clarity, prioritization, and guidance to your teams. Embody the culture Roll up your sleeves and enthusiastically pitch in wherever it's needed for the program's success — at Humanoid, we're all in this together. Never settle for the status quo; continually improve our practices. Demonstrate through your actions how you contribute to the team's success, building strong, enduring influence across the program team and its stakeholders. WHAT WE'RE LOOKING FOR - 3+ years of relevant post-graduate experience as a project or program manager leading hardware new product development - Bachelor’s or Master’s degree in a technical field relevant to robotics or engineering - Technical background in development of complex systems integrating hardware, firmware, and software - Strong understanding of mechanical and hardware development processes for scalable manufacturing - Experience working in highly cross-functional engineering environments - Proficiency with multiple program management methodologies and tools - Proven ability to create structure and clarity in ambiguous, fast-paced environments - Strong organizational skills with the ability to manage multiple complex workstreams simultaneously - Excellent written and verbal communication skills, both synchronous and asynchronous - Demonstrated ability to lead through influence across diverse teams - Ability to remain calm, structured, and effective under pressure, including with executive stakeholders - Strong ability to understand and communicate complex technical concepts - Systems-thinking mindset with strong problem-solving capabilities - Willingness to work early hours as needed to collaborate with teams in London BONUS QUALIFICATIONS - Experience in robotics, autonomous systems, or advanced hardware companies - Experience working in speed-focused startup environments - Experience with end-to-end lifecycle including integration - Experience working with globally distributed teams - Exposure to manufacturing, supply chain, or production ramp environments WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $120K–$160K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE Humanoid's Core Platform Electrical team designs and releases the PCBs that power our humanoid robots — from sensor interface boards to power distribution and compute carrier cards. As we scale from prototype to production, keeping our Altium component library clean, consistent, and traceable has become mission-critical to design velocity and quality. We're looking for an ECAD Librarian to own and grow our Altium Designer component library. You'll be the go-to owner for schematic symbols, footprints, and component data across our Boston, Vancouver and London EE teams, ensuring every part that goes into a design is accurate, manufacturable, and properly tracked from draft through production. This is a foundational role for a small, fast-moving hardware organization — your work directly reduces respin risk, rework, and time lost to bad footprints or duplicate parts. WHAT YOU'LL DO - Own the Altium component library. Create, validate, and maintain schematic symbols, PCB footprints, and 3D models for new components requested by EE designers in Boston and London. - Enforce library standards. Apply and evolve our standardized approach to symbol sizing, footprint conventions, reference designator (REFDES) schemes, and naming conventions for passives, ICs, and mechanical library items (per our library rules and guidance documentation). - Manage the component lifecycle. Administer part status workflow (Draft → Preliminary → Production) in Altium, ensuring only vetted, verified parts are promoted for use in active designs. - Component data integrity. Verify manufacturer part numbers, approved alternates, and Part Choices are correctly attached to library parts; keep footprint/pinout data accurate against datasheets to prevent field errors (e.g., mis-pinned footprints making it into fabricated boards). - Traceability & "Where-Used." Support where-used traceability for components, symbols, and footprints so the team can quickly identify PCB exposure when an issue is found with a given part or footprint. - Cross-functional support. Work closely with EE designers across the #chapter-ee community to add, retire, and validate components on request, and communicate library changes that may affect in-flight designs. - PLM/ERP alignment. Support the ongoing effort to integrate Altium component data with our broader PLM system (Teamcenter) and part numbering scheme, working with the EE and supply chain teams. - Bulk library cleanup. Partner with engineering on periodic bulk edits and standardization passes across the existing library to reduce duplication and inconsistency. - Documentation. Keep library rules, statuses, and conventions current in Confluence so the standards are discoverable and followed consistently by all designers. WHAT WE'RE LOOKING FOR - Hands-on experience with Altium Designer, including schematic library and PCB footprint creation (Altium 365 / Managed Components experience a plus). - Strong attention to detail — comfortable cross-referencing datasheets, verifying pin counts, pad geometry, and package dimensions before a part goes into a design. - Familiarity with component lifecycle/PLM concepts (draft/preliminary/released states, where-used traceability) and how they connect to manufacturing quality. - Understanding of standard component conventions: reference designator schemes, tolerances (e.g., 1% resistors, 10% capacitors), automotive/AEC-Q200 grading where relevant, and approved manufacturer/supplier alternates. - Comfortable working across a distributed EE team (Boston and London) and prioritizing incoming library requests. - Bonus: experience with Teamcenter or another PLM system, or prior exposure to integrating ECAD libraries with enterprise PLM/ERP. - Bonus: experience in a hardware startup or fast-scaling engineering org where library hygiene had to be built from the ground up. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $100K–$140K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

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 The Auth & Identity team builds the authentication, authorization, and identity platform that underpins every Anthropic product: the API, Claude Code, Claude.ai, and our Enterprise offerings. Every login, API key, OAuth token, access decision, and organization record flows through the systems we own. As Claude moves from a chat product to an agentic platform, we are defining what identity and access look like when the actor is a human, a service account, or an autonomous agent acting on someone's behalf. We are a platform team with a product surface. The horizontal is the set of services every product consumes: credential minting and exchange, authorization controls, and the canonical record of users, service accounts, agents, and the organizations they belong to. The vertical is the experience where admins author that policy: SSO and SCIM setup, roles and permissions, IP allowlisting, and API key policies. Our work falls into four pillars: Authentication – Who you are. Credential minting, exchange, and lifecycle; sessions; workload identity federation; auth for async and agentic workloads. Authorization – What you can do. The policy framework for model, membership, role, and resource access. Identity – Who belongs to what. The tenant and organization model, and first-class identity for humans, service accounts, and agents, portable across surfaces and cloud environments. Enterprise – How enterprises connect. SSO, SCIM, login policies, and the admin controls that let customers provision and govern users from their own identity provider. What you'll do You will own critical, high-traffic systems end to end, from design through rollout, operations, and iteration, and help shape the technical strategy for how identity and access work across Anthropic. Representative problems we are working on right now: Designing credentials for agents and long-running autonomous workloads. Routing every access decision through a unified authorization system, with low latency, security guarantees, and multi-region resilience. Building a first-class identity model for service accounts and agents, and linking those identities to other identity and auth systems. Global distribution and multi-region failover for some of the company’s most mission-critical services. Deepening enterprise integration: login policies and recovery methods, self-service allowlisting, and tighter integrations with providers. You will work closely with product, security, infrastructure, and the product teams that consume our primitives, and you will be expected to set technical direction, not just execute on it. Many of the problems are 0-to-1 with no established pattern to copy; others are careful migrations of systems that every Anthropic customer depends on in the hot path. You might be a good fit if you: Have 8+ years of experience building and operating backend or platform systems at scale, ideally including identity, authentication, authorization, or security-adjacent infrastructure. Have worked with some of: OAuth 2.0 and OIDC, SAML, SCIM, JWTs and token exchange, workload identity federation, policy engines such as Cedar or OPA, or RBAC and resource-level access control models. Care deeply about reliability and security. You design for on-call, failure modes, revocation, and the engineer who inherits your system, and you treat availability of auth as table stakes for every product built on it. Are comfortable owning large migrations in live, high-traffic systems: shadow modes, incremental rollouts, and clean retirement of legacy paths. Take a product-focused approach to platform work and build primitives that are easy for other engineers to adopt correctly, with documentation and self-service as part of the deliverable. Can navigate ambiguity and make sound technical decisions independently, and communicate clearly with cross-functional partners and stakeholders. Are familiar with using AI tools as part of your software development workflow. Strong candidates may also have Experience with globally distributed databases and multi-region service architecture. Experience working in Go, Python, Rust, or TypeScript across a rapidly changing codebase. Prior work on enterprise identity integrations with major identity providers and cloud IAM systems. Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 The Claude Platform serves developers and enterprises at scale. The Developer Experience (DevX) team owns the surfaces those developers touch every day: the Console, the docs platform, and our SDKs and CLI. Our job is to make the Platform easy to adopt and trustworthy enough to build critical applications on, to get new model and API capabilities into developers' hands fast and ergonomically, and to build for both humans and the coding agents that increasingly use our docs and SDKs on their behalf. The work splits into two workstreams, covered below, and we need your help across both. What you'll do DevX Core: You'll help drive technical direction for the Console and docs platform — the surfaces every developer on the Claude Platform uses — working with product and design from problem definition through launch. The Console is also the front door for tens of internal teams shipping their own features onto it, so you'll set the platform patterns and standards they build against. SDKs: You'll own the SDKs across seven languages plus our CLI — the first thing most developers (and most coding agents) touch when they integrate Claude. You'll partner with API teams early so every new platform capability lands in the SDKs as an idiomatic, ergonomic feature on day one, and you'll drive the code generation, testing, and release pipeline that keeps seven languages consistent and shipping fast. You might be a good fit if you: Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level Have led the design and delivery of complex, developer-facing products across the full stack Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) Take a product-focused approach to building solutions that are robust, scalable, and easy to use Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Care deeply in investing in the mentorship and growth of your peers Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority Have experience establishing engineering standards, component architectures, and development best practices Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Chartbeat Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization. Our mission is to help customers grow valuable media brands with their content. Join our diverse group of focused, hardworking professionals who are passionate about doing work that’s challenging and fun — and who strive to maintain a healthy work/life balance. About the Role Chartbeat, Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization.As part of our OMS product portfolio, Lineup and FatTail provide media owners with an end-to-end order management solution built for ad sales teams across news, digital, streaming, B2B, OOH and other segments. We're hiring a Content Strategist to turn deep product and market expertise into content that reaches buyers directly and drives demand for Lineup and FatTail. You'll work alongside our other Product Marketing Manager, who owns internal enablement: positioning, messaging, sales materials. You'll take that same product and market knowledge and shape it into content built for buyers: articles, reports, POVs, case studies, and more. You'll also serve as the product subject matter expert for our Content Marketing team on Lineup and FatTail, shaping their content strategy and planning from the earliest stages. Key Responsibilities Content strategy and ideation Identify content angles that differentiate Lineup and FatTail in a crowded, relationship-driven market, grounded in competitive intelligence, customer research, and product knowledge. Advise Content Marketing on what's worth making and why, ahead of their planning cycles, so domain expertise shapes the brief from the start. Content creation Write and structure long-form, client-facing assets: articles, reports, POVs, case studies, video scripts, event presentations. Use AI tools to accelerate drafting and partner with a writer for polish when helpful. Subject matter expertise Serve as the go-to product and market expert on Lineup and FatTail for Content Marketing. Stay aligned with the internal enablement PMM to keep external content and internal sales narrative consistent. Handoff and collaboration Deliver finished or near-finished assets to Marketing for distribution (social, email, promotion) and to Design for visual polish. Work cross-functionally and move things forward independently. Qualifications 5+ years experience Strong storytelling instincts. You can look at a messy, technical landscape and find the angle that makes someone care. Comfortable writing and shipping content yourself, using AI tools or a writer for cleanup, and confident originating your own ideas. Deep familiarity with the ad tech or media operations landscape: direct experience at an OMS or ad tech vendor, in ad ops or ad sales operations at a media company or publisher, or covering ad tech as a journalist or analyst, or similar. Track record working cross-functionally with marketing, content, and product teams. Benefits Comprehensive Health, Dental, and Vision Insurance 401K with company match (100% of the first 3% and 50% of the next 2%) Fully Paid Parental Leave - 18 weeks for birthing parents, 12 weeks for non-birthing parents Phone and internet stipend Wellness, learning, and coworking reimbursements Flexible work hours Unlimited PTO 11 paid holidays and December holiday closure Annual In-Person Event The compensation range for this position is between $90,000-$115,000 (Salary is negotiable and will be tailored to your experience, skills, and the value you bring to the role.) Diversity, Equity, and Inclusion Statement At Chartbeat we strive to create and continually grow as a company where all employees are able to be their authentic selves.  We are committed to recruiting, hiring, and retaining employees from different backgrounds, viewpoints, and experiences. Our strength is our diversity and we are dedicated to continuously reflect upon, and evolve our efforts to maintain  a diverse, equitable and inclusive ecosystem. Equal Opportunity Employment Statement Chartbeat is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. Chartbeat's CCPA disclosure notice can be found here .

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Controls Engineer to join our Control Team in Boston. You will own how we know our controls stack works: the testing and validation infrastructure that turns "it looked fine on the robot" into measured, reproducible evaluation, the observability and failure analysis that makes runtime behaviour visible and failures shareable, and the documentation and runbooks that let the team self-serve without institutional knowledge. You will also strongly contribute to first-time bring-up of new hardware for Boston components and validate changes end-to-end on real robots before the wider team depends on them. The ideal candidate has strong control fundamentals, solid software engineering discipline across the stack - from control code to test harnesses to diagnostic tooling - and the debugging instincts that only come from real hardware. You will work across the whole control stack and be the person the team relies on to tell them the truth about their code. WHAT YOU'LL DO Testing & Validation Infrastructure: - Build and own hardware-in-the-loop (HIL) and integration test workflows that quantify controller and motion repeatability and accuracy - turning "it looked fine on the robot" into measured, reproducible evaluation. - Define and implement repeatability and accuracy metrics for controller and motion changes, and the harnesses that make those measurements consistent across runs and across robots. - Expand unit and integration test coverage across the controls components the team actually runs - actuator drivers, hardware interfaces, whole-body control, and the teleoperation pipeline. - Develop automated regression checks that surface controls regressions - in accuracy, repeatability, or behaviour - in simulation and on hardware before they reach the wider team. - Work with controls engineers to define testability requirements for new components and algorithms, so things are built to be evaluated and validated. - Package controllers into cleanly separable, reusable, and easily testable interfaces - so individual controllers can be developed, swapped, and validated in isolation. New Hardware Bring-Up & Integration: - Strongly contribute to first-time bring-up of new hardware for Boston components, and to their integration into the controls stack. - Validate hardware and software changes end-to-end on real robots before broader team use - structured, documented, and repeatable. Debugging, Observability & Failure Analysis: - Instrument the controls stack to improve visibility into runtime behaviour - logging, tracing, and diagnostic tooling. - Reproduce hardware and software failures in structured, developer-shareable formats; feed structured root-cause context back to algorithm and hardware owners. - Identify and resolve cross-stack failure modes that span controls, firmware, and hardware. Documentation & Knowledge Transfer: - Write and maintain engineering documentation for the controls stack: HIL and test coverage, and bring-up/integration guides for new hardware. - Own runbooks that let controls engineers self-serve validation, integration, and recovery without relying on institutional knowledge. WHAT WE'RE LOOKING FOR - Substantial hands-on robotics experience on real hardware. - Strong control theory foundation (joint-space control, PID and feedforward, impedance/admittance, observers, state estimation, filtering, stability) — enough to define meaningful repeatability and accuracy metrics for a control stack and interpret what they say. - Shipped software across the stack: modern C++ inside a real-time control codebase, plus Python for test harnesses, analysis and tooling. - Built test automation, HIL or integration-test infrastructure for complex physical systems — and got other engineers to actually use it. - Solid measurement and data analysis judgement: sampling, timing and synchronisation, noise, statistical significance, and knowing when a difference between two runs is real. - Strong debugging across software/firmware/hardware boundaries, with the discipline to reproduce failures in a form other engineers can act on. Nice to have: - Physics simulation environments (MuJoCo, Isaac Sim/Isaac Lab) and sim-to-real validation. - Observability tooling: logging and tracing frameworks, metrics collection, time-series databases, dashboarding (e.g. Grafana). - First-time hardware bring-up experience: new actuators, sensors or compute targets integrated into a control stack. - A track record of engineering documentation and runbooks that outlived their author. - Release management or quality gates for safety-relevant software. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: New Delhi Workplace: Remote Global Services is the centre of expertise at Chainalysis — the team that translates our platform, data, and investigative capabilities into real-world impact for customers across law enforcement, national security, financial institutions, and the broader crypto ecosystem. Chainalysis is seeking a Deployment Strategist to join Global Services as a core technical practitioner. This is not a traditional services or solutions engineering role. Deployment Strategists are embedded technical experts who own the full lifecycle of customer value — from problem discovery and investigation through solution design, deployment, and customer enablement. The role sits at the intersection of blockchain investigation, data analytics, domain expertise, and customer partnership. You will work directly with customers to understand their mission, conduct investigations, build tailored solutions, and enable customer teams to operationalise Chainalysis independently. Success requires deep investigative capability, genuine domain expertise, technical skill, and the ability to build trusted relationships through credibility — not just communication. This is the role that makes Chainalysis essential to how our customers operate. In this role, you’ll: - Own end-to-end customer engagements — from discovery through investigation, solution design, deployment, enablement, and ongoing value delivery - Conduct blockchain investigations across the Chainalysis platform, applying tracing, OSINT, and analytical techniques to real customer problems - Partner directly with customers to understand investigative, intelligence, compliance, or operational objectives and translate them into actionable outcomes - Design, build, and maintain custom workflows, notebooks, dashboards, queries, and data models using Chainalysis data and products - Enable customers to operate solutions independently — building their capability so that Chainalysis becomes embedded in their operational infrastructure - Act as the primary technical and domain advisor for your customers, building trusted relationships through hands-on expertise and credibility - Deliver live training, demos, investigative walkthroughs, and technical briefings to both technical and non-technical audiences - Support pre-sales technical engagement for complex and strategic deals — helping customers understand what's possible and how to get there - Collaborate closely with Product, Engineering, Global Intel, and Sales to influence roadmap and improve offerings based on field intelligence - Develop and share domain expertise, investigative techniques, and best practices that raise the capability of the wider GS team We’re looking for candidates who have: - Conducted or directly supported cryptocurrency investigations, blockchain intelligence work, or financial crime analysis in an operational environment - Deep familiarity with blockchain ecosystems (BTC, ETH, stablecoins, DeFi) and how on-chain data is used in investigations, compliance, or intelligence workflows - Delivered customer-facing technical solutions — whether investigative outputs, data products, or analytical workflows — in complex, real-world environments - Worked directly with customers in law enforcement, national security, intelligence, compliance, financial crime, or security-focused domains - Built insights from large or complex datasets and communicated findings to varied audiences — from analysts to executives - Operated successfully in fast-paced, ambiguous environments requiring ownership, adaptability, and sound judgment - Excellent English and Hindi Required Technical Skills: - Proficiency in Python and SQL for data analysis, transformation, and solution development - Experience building notebooks, dashboards, and analytical workflows - Solid understanding of data modelling, querying, and working with large datasets - Ability to quickly develop deep expertise in Chainalysis data structures, schemas, and products Domain Expertise - Substantive knowledge of at least one domain: financial and cyber crime investigations, sanctions and compliance, fraud, national security, DeFi/protocol security, tax, or private sector risk - Understanding of how customers in your domain operate — their workflows, regulatory environment, and what success looks like for them - Ability to apply domain knowledge to shape investigation approach, solution design, and customer advisory Nice to have experience: - Direct experience with Chainalysis products - Background in law enforcement, intelligence, or military investigations - Experience providing expert evidence or supporting legal proceedings - Familiarity with compliance frameworks (BSA/AML, sanctions screening, MiCA, Travel Rule) - Experience with data engineering tools and platforms (e.g., Databricks, Snowflake, cloud-based analytics) - Published research, intelligence products, or thought leadership in blockchain analytics or financial crime AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: New York City, NY; 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 manager of the Financial Services Solutions Architect team within Applied AI at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. We work with customers that include companies across banking, insurance, asset management, and payment providers. You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude Code, Cowork, and the Claude Development Platform (our API). This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements. Responsibilities: Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development. Set goals for your team that establish baseline expectations for performance in collaboration with sales and other cross-functional teams. Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or top use case scoping and deployment. Partner closely with sales leadership to identify new strategies to drive adoption of Anthropic products within specific verticals or horizontal use cases. Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption. Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building. Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. Contribute to thought leadership through conference presentations, webinars, and technical content creation. Stay current with emerging AI trends and the evolving ecosystem. You may be a good fit if you : 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role. 3+ years of technical pre-sales management experience. Have sold complex technical products to Financial Services companies. Have deep technical proficiency with enterprise AI use cases and API integrations or enterprise solution rollouts. Understand how to contribute to running a GTM organization anchored on a consumption business model, not SaaS sales cycles. Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. Have excellent communication, collaboration, and coaching abilities. Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams. Have at least a high level familiarity with the architecture and operation of LLMs. Have a passion for making powerful technology safe and societally beneficial. Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may have : Enterprise pre-sales leadership at scale : 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments. AI Technical Depth + Executive Engagement : Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles. Deep FSI GTM Experience : Demonstrated success adapting technical approaches to customers in banking, insurance, payment providers, or asset management. 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: $315,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY; 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 manager of the Healthcare and Life Sciences Solutions Architect team within Applied AI at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. We work with customers that include companies across payers, providers, life sciences, medtech, and other healthcare verticals. You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude Code, Cowork, Claude Science, and the Claude Development Platform (our API). This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements. Responsibilities: Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development. Set goals for your team that establish baseline expectations for performance in collaboration with sales and other cross-functional teams. Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or top use case scoping and deployment. Partner closely with sales leadership to identify new strategies to drive adoption of Anthropic products within specific verticals or horizontal use cases. Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption. Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building. Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. Contribute to thought leadership through conference presentations, webinars, and technical content creation. Stay current with emerging AI trends and the evolving ecosystem. You may be a good fit if you : 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role. 3+ years of technical pre-sales management experience. Have sold complex technical products to Healthcare and Life Sciences companies. Have deep technical proficiency with enterprise AI use cases and API integrations or enterprise solution rollouts. Understand how to contribute to running a GTM organization anchored on a consumption business model, not SaaS sales cycles. Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. Have excellent communication, collaboration, and coaching abilities. Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams. Have at least a high level familiarity with the architecture and operation of LLMs. Have a passion for making powerful technology safe and societally beneficial. Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may have : Enterprise pre-sales leadership at scale : 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments. AI Technical Depth + Executive Engagement : Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles. Deep HCLS GTM Experience : Demonstrated success adapting technical approaches to customers in payers, providers, life sciences, medtech, or other healthcare verticals. 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: $315,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 Corporate Security protects the environment Anthropic's people work in every day: their laptops and phones, their identities, the tools they collaborate in and the company data that flows through all of it. Everything that makes Claude what it is sits behind that environment. We keep company access on devices we manage, make those devices hard to compromise and right-size what any one of them can reach, while caring a great deal about the day-to-day experience of the people using them. The company is growing quickly and this team is growing with it, so we treat the work as an engineering discipline: controls as code and automation over queues, built to scale with headcount rather than strain against it. As a Security Engineer here you'll drive significant parts of that work end to end. You'll set technical direction and turn it into shipped tooling. When a control collides with someone's workflow, you'll find the path that keeps them moving without giving up the protection. You'll be handed problems rather than task lists and you'll find as many yourself: threat-modeling the environment to surface what matters, fixing it and bringing the evidence that shapes what the team prioritizes next. This is a senior, hands-on individual contributor role. Key responsibilities Drive endpoint hardening across macOS, Windows, Linux, and ChromeOS, including device management configuration, application allowlisting, patching, and browser policy, favoring controls that are versioned, reviewable, and repeatable over one-off configuration Extend device-trust and zero-trust access controls so company systems are reached from managed devices bound to the right person and carrying the right level of access, treating the experience of fellow employees as a design constraint rather than an afterthought Build the automation and integrations that let the team scale with the company: joiner/mover/leaver automation across identity and device management, exception and expiry workflows, posture-driven policy, and Claude-assisted triage of review queues Lead SaaS and identity governance, including third-party OAuth grants, delegated admin access, chat-platform apps, browser extensions, and software security reviews, turning recurring decisions into policy and tooling Partner across the wider Security team, IT, and Engineering on telemetry, detections, and shared standards, and help define how a company that increasingly runs on AI agents does so securely and at scale Minimum qualifications Hands-on endpoint security engineering on macOS, Windows, Linux, or ChromeOS, such as MDM and declarative device management profile engineering, application allowlisting or binary authorization, system extensions and endpoint security frameworks, or their platform equivalents Proficiency in Python and scripting languages generally; you architect and build integrations, automation, and internal tooling as a normal part of the job, and can write a detection when the work calls for it Working depth in identity and access management, SaaS security, and zero-trust access Threat-modeling judgment that finds the problems worth solving and the ability to scope them, define "done," and drive them to completion Care for Anthropic's mission and the part corporate security plays in it Preferred qualifications Experience defining the scope and choosing the tooling for a security program rather than inheriting it Experience shipping an enforcement change to a large user population: using data to find what will break before it does, staging the rollout, building the alternative path for affected workflows, and moving people onto it ahead of enforcement Endpoint depth across more than one of macOS, Windows, Linux, and ChromeOS, with the judgment to harden for the threats that matter rather than to a checklist Mobile security across managed and BYOD contexts, including protecting people and devices in higher-risk settings such as international travel Experience bringing security governance to a modern SaaS environment, including third-party integrations, delegated access, and the long tail of internally built and AI-generated apps, in a way that speeds decisions up rather than slowing them down Configuration-as-code, infrastructure-as-code, and CI/CD applied to corporate infrastructure LLM-assisted security tooling you built that materially changed what a team could cover, and the judgment to know which work to hand to a model, which to keep, and how to combine the two A track record of getting security controls adopted across an organization through influence and partnership rather than authority 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: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote (US) About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We were the first company to tokenize exposure to US Treasuries, and have since expanded into several other assets. We are also focused on incubating protocols that can support both tokenized real-world assets and traditional crypto. Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S. About the role Ondo Finance is looking for a Growth PM to own user-facing product strategy across our unified platform interface, Ondo Finance App. This role is the growth counterpart to our platform PMs — and will be the primary driver of user acquisition, activation, and retention across Ondo's expanding product suite (Stocks, Treasuries, Portfolios, and more). You will work at the intersection of product, design, engineering, and marketing to build world-class user journeys for a new generation of on-chain financial products. What You'll Own User acquisition: Identify and build product-led growth loops, referral mechanisms, onboarding flows, and entry points that bring new users into the Ondo ecosystem Activation: Design and optimize the end-to-end onboarding experience — from first visit to first meaningful transaction — across Ondo Finance Web App and eventually mobile Retention & engagement: Build features and feedback loops that keep users active, informed, and deepening their relationship with Ondo's product lines User journey design: Map and continuously improve user journeys across all Ondo products surfaced through Ondo Finance Web App Experimentation: Drive a structured A/B testing and experimentation culture; define success metrics and own the growth analytics stack alongside data and engineering Cross-product growth: Collaborate with product line PMs to ensure growth initiatives are coordinated and reinforced across product surfaces Requirements 4–7+ years of product management experience with a clear focus on consumer-facing or growth-oriented products Experience in fintech, crypto, or financial products — particularly products involving real-world assets, trading, or investment platforms Personal experience using financial products similar to ours, with a genuine desire to walk in the customer's shoes Demonstrated track record of owning and improving acquisition, activation, and/or retention metrics at scale Strong product instincts — you care deeply about user experience and are willing to do whatever it takes to make the product successful Excellent written and verbal communication; able to write sharp, well-reasoned PRDs and present clearly to engineers and leadership Data-driven mindset with hands-on experience defining KPIs, running experiments, and translating data into product decisions US-hours based (preference per current team structure) Nice to have Familiarity with on-chain / Web3 user onboarding challenges (wallet setup, KYC flows, etc.) Experience working on a unified platform serving multiple financial product lines Prior exposure to developer-facing or API-adjacent products What we offer Competitive compensation including salary, future token rights, and/or equity (according to your preferences) — we're well-funded and believe that great talent deserves great compensation Full benefits (medical, vision, and dental) and flexible vacation policy (PTO) Small remote-first team across many countries — you'll be an early team member helping shape our vision, culture, and design practices A+ colleagues — our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, Pinterest, McKinsey, Circle, Uniswap, Phantom Best-in-class investors — we are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures

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 Anthropic is seeking an experienced enablement professional to build our Sales Leader Enablement program. As a key member of the GTM Productivity team, you will be responsible for designing the onboarding, training, and reinforcement programs that ensure our sales managers ramp quickly, lead their teams effectively, and drive consistent sales process across a rapidly growing global sales organization. You will define what great sales leadership looks like at Anthropic and build the infrastructure to develop it at scale. You will work at the intersection of sales leadership, product, operations, and our field teams to translate complex AI concepts, sales processes, and systems into clear programs. This is a ground floor opportunity to architect a sales leader enablement function from scratch. The right person will combine deep sales methodology and coaching expertise with credibility in front of executives, program building instincts, and a bias toward measurable outcomes. Key responsibilities Design and build a scalable onboarding and ongoing development program for sales leadership Roll out and reinforce a unified sales methodology across the global sales team, securing executive sponsorship and defining what is expected of each leadership level to drive adoption Build the reinforcement system that embeds methodology and process into manager coaching cadences, deal reviews, pipeline inspection, and forecasting Define and measure leading indicators of manager and team effectiveness Partner with Product, Marketing, Operations, and other teams to ensure managers receive timely, well-tailored messaging, content, and training on new releases and evolving use cases Serve as a trusted advisor to sales leadership on team productivity, coaching effectiveness, and leadership development Leverage Claude and advanced technologies to deliver personalized, just-in-time training and scale the program beyond in-person engagement Minimum qualifications Direct experience rolling out and reinforcing a sales methodology across a distributed sales team, including training managers to coach to it Program management experience, including building enablement programs from the ground up in a fast-growing, ambiguous environment Strong presentation and facilitation skills, with experience delivering training or coaching in front of both managers and executives Preferred qualifications 8+ years of experience in sales enablement, sales leadership development, sales management, or a related customer-facing role within AI/ML or enterprise technology organizations A track record of earning buy-in from senior sales leaders and frontline managers, and driving stakeholder alignment with executive audiences Strong analytical skills with a data-driven approach to measuring ramp, productivity, and program effectiveness Empathy for sellers and sales leaders, with an understanding of the demands of the role and a partnership-oriented approach to conflict and disagreement A proactive, resourceful approach, combining strategic vision with a willingness to build and execute hands-on Prior frontline sales management experience Experience at an AI company or high-growth technology organization that has scaled a sales leadership team Experience using or building applications on top of Claude or similar AI tools to automate and personalize training The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $310,000 — $360,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Public Sector Account Executive to drive the adoption of safe, frontier AI across governments in Southeast Asia, establishing and growing Anthropic's presence in this strategic region. Based in Singapore, you'll leverage your consultative sales expertise and deep understanding of public sector landscapes across ASEAN markets to grow revenue while becoming a trusted partner to government customers, helping them embed and deploy AI and uncover its full range of capabilities. Working with ministries, statutory boards, and agencies across the region, you'll navigate diverse procurement, security, and compliance environments to build long-term strategic partnerships. In collaboration with GTM, product, policy, and marketing teams, you'll help define our market entry strategy and value proposition for public sector customers across ASEAN. Key responsibilities Lead Anthropic's market entry and expansion across ASEAN public sector markets, building relationships with key stakeholders across ministries, statutory boards, and government agencies in Singapore and throughout the region Own the full sales cycle for public sector opportunities across ASEAN, from initial outreach through to successful deployment, with a focus on building long-term strategic partnerships Navigate the procurement requirements, security standards, and compliance frameworks specific to government technology adoption in each market—including GeBIZ procurement and IM8 security requirements in Singapore—and prioritise markets based on opportunity and readiness Collaborate with policy teams to ensure alignment with national AI strategies and digital government initiatives across the region, such as Singapore's National AI Strategy and Smart Nation programme and the ASEAN Guide on AI Governance and Ethics Design and execute sales strategies tailored to each public sector environment, meeting and exceeding revenue targets while maintaining strong relationships with procurement teams and decision-makers Provide market intelligence and feedback to product teams to ensure our offerings meet regional public sector requirements, including data sovereignty, data residency, and localisation considerations that vary by country Build and maintain relationships with systems integrators, in-country partners, and technology partners across ASEAN markets Develop and document best practices for public sector engagement in each market, creating playbooks that scale our presence across the region Serve as a leader within the broader public sector team, sharing insights and collaborating on cross-market opportunities Minimum qualifications 12+ years of enterprise sales experience in public sector markets across ASEAN, with a proven track record of driving adoption of emerging technologies Deep understanding of government procurement processes, security requirements, and technology adoption frameworks in Singapore (including GeBIZ and IM8), and familiarity with equivalent frameworks in other ASEAN markets Strong track record of managing complex sales cycles and securing strategic deals in the public sector Experience navigating multiple stakeholders across ministries and agencies in culturally diverse markets, building consensus and providing innovative solutions Experience working with in-country partners and channel ecosystems to reach markets where direct presence is limited Excellent communication skills and the ability to present confidently to all levels, from technical teams to senior government officials Eligibility to handle classified government information as required Ability to work independently while maintaining strong collaboration with global teams, with willingness to travel regularly across the region Bachelor's degree in a related field or equivalent experience Preferred qualifications Experience working with agencies such as GovTech, and familiarity with national digital transformation initiatives across the region Demonstrated ability to build and grow new market segments across multiple countries, with potential to develop into a leadership role Strategic thinking combined with hands-on execution capabilities Proficiency in a regional language beyond English A passion for safe and ethical AI development, with the ability to articulate its importance in the public sector context Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an Enterprise Account Executive to join the foundational team introducing Anthropic's frontier AI to large enterprises across Southeast Asia. Based in Singapore, you will drive adoption of safe, frontier AI by securing strategic deals with major corporations across industries including financial services, healthcare, technology, manufacturing, and telecommunications throughout the ASEAN region. You'll leverage your consultative enterprise sales expertise to grow revenue while becoming a trusted partner to C-suite and senior technical stakeholders, helping them embed Claude across business operations, research, and administration. As Anthropic's senior in-market commercial presence for ASEAN, you'll shape our regional go-to-market strategy and lay the groundwork for a dedicated Southeast Asia footprint. Key responsibilities Own and exceed revenue targets by winning new enterprise accounts and expanding existing relationships across ASEAN countries. Serve as senior regional coverage for Anthropic's most strategic ASEAN enterprise accounts, building executive relationship depth and commercial momentum through consistent in-market engagement Build and execute territory plans that identify high-value opportunities across key ASEAN industries, accounting for differences in market maturity, regulatory environment, and buying behaviour between countries 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 tailored solutions for complex enterprise requirements Translate technical AI capabilities into compelling business value propositions suited to the needs of Southeast Asian enterprises Identify new use cases and contribute to ASEAN go-to-market strategy, providing feedback that shapes product roadmap and regional approach Represent Anthropic across Southeast Asia, building executive relationships with enterprise, partner, and government stakeholders and raising Anthropic's profile within the regional technology community Minimum qualifications 12+ years in enterprise sales, GTM, business development, or account management with direct, in-market Southeast Asia operating experience A track record of managing complex, multi-stakeholder sales cycles and securing strategic deals in ASEAN markets by translating multifaceted technical requirements into tailored solutions Existing commercial network across enterprise and partner communities in Singapore and at least one or two additional ASEAN markets Strong commercial instincts, with the ability to identify, prioritise, and advance high-value opportunities without heavy oversight Comfort operating as a generalist regional presence—equally effective in an enterprise sales conversation, a partnership discussion, or a government stakeholder introduction Excellent communication and presentation skills, with cultural fluency across ASEAN business environments Based in, or willing to relocate to, Singapore, with eligibility to work in Singapore and the ability to travel frequently across Southeast Asia Bachelor's degree in a related field or equivalent experience Preferred qualifications Experience selling AI/ML, cloud, data platforms, or enterprise SaaS to regulated industries such as financial services or healthcare Experience working with hyperscaler or channel partners to co-sell into regional enterprise accounts Prior experience establishing or scaling a new market or region for a high-growth technology company Working proficiency in a Southeast Asian language in addition to English (e.g. Bahasa Indonesia, Thai, Vietnamese) Familiarity with regional data residency, AI governance, and procurement frameworks relevant to enterprise buyers A passion for and/or experience with advanced AI systems, and a strong interest in ensuring frontier AI is developed safely Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ The Role We are seeking a Senior Manager, Sales Operations to join our Revenue Operations team in a critical leadership capacity. This is a player-coach role designed for a deeply technical Sales Ops expert who thrives on both strategic execution and people development. You will serve as the ultimate go-to subject matter expert for all things Sales Ops infrastructure, including architecting our territory design, segmentation models, quota models and annual planning frameworks, while simultaneously leading and scaling a high-performing team. Initially managing a team of two, with further headcount planned as Docker grows, you will balance executive partnership with technical execution. You will run the strategic vision, coach your team to execute flawlessly, and step into the trenches yourself to solve our most complex operational challenges. An ideal candidate brings deep Sales Operations experience in a high-growth SaaS environment, strong command of our core tooling, and a track record of leading transformational operational change. This role reports to the Senior Director of Sales Operations. _______________________________________________________________________ RESPONSIBILITIES Sales Ops Architecture & Planning Execution - Drive the end-to-end execution of core Sales Operations, translating the overarching GTM strategy into tactical territory designs and segmentation models - Architect and build the operational models for annual and quarterly planning cycles, including territory routing (ETM), segmentation updates, and quota allocation - Own the management, administration, and execution of quota frameworks, and assist with compensation plan design for the direct sales & GTM organization - Take full ownership of complex operational initiatives, managing the lifecycle from scoping and business requirements through to deployment and post-launch optimization - Own and update the Sales Rules of Engagement and account engagement models to ensure seamless, frictionless deal flow and pipeline integrity - Own key tools within the Sales technology stack, managing vendor relationships, budgets, and roadmaps Operational Collaboration & Tech Optimization - Serve as the trusted daily operational partner to senior Sales leaders, proactively identifying areas for improvement and executing process enhancements - Collaborate closely with the Senior Director of Sales Operations and GTM ops leaders (CS, SE, Channel, Renewals) to ensure Sales Ops execution aligns seamlessly with the broader revenue ecosystem - Maximize the efficiency and roadmap of the core sales technology stack (Salesforce, Clari, Outreach, etc.) to optimize the sales cadence - Partner with Business Systems to design, test, and deploy scalable tech solutions Team Leadership - Directly manage, mentor, and develop a team of Sales Operations professionals (initially 2 direct reports) - Establish team operating cadences, manage workload capacity, and instill a culture of high ownership, precision, and operational excellence - Coach your team on advanced problem-solving, data integrity, and stakeholder communication, acting as a force multiplier for their career growth _______________________________________________________________________ QUALIFICATIONS - 6+ years of experience in Sales Operations, ideally within a high-growth SaaS or software company - 2+ years of people management or team leadership experience, with a demonstrated track record of coaching and developing team members - Hands-on experience of core Sales Ops planning, specifically territory routing, Enterprise Territory Management (ETM), segmentation modeling, and quota allocation - Proven project management skills, with experience owning complex operational initiatives across their entire lifecycle (from business requirements to post-launch optimization) - Technical expertise with core sales technology infrastructure, including Salesforce, Clari, Outreach, and LinkedIn Sales Navigator - Strong analytical and financial acumen required to manage vendor budgets, software roadmaps, and data modeling tasks - Exceptional communication and stakeholder management skills, with the confidence to advise senior sales leadership and collaborate with cross-functional GTM operations peers - Highly organized with an eye for data integrity, process precision, and documentation _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Immerse yourself in Docker’s direct sales motion, existing territory models, current sales technology stack and existing Sales Ops processes - Assume direct management of your team, establishing regular 1-on-1 cadences to understand their current workloads, skills, and professional development goals - Build strong baseline relationships with your core sales leadership partners, and GTM ops leaders (CS, SE, Channel, Renewals) - Review current processes, systems, and metrics to form an independent point of view on highest-impact opportunities FIRST 60 DAYS - Establish your position as the go-to expert for sales leadership regarding tactical operational questions, territory updates, and cadence execution - Take full ownership of the sales tech stack, including active vendor relationships, roadmaps, and budget lines - Optimize team capacity by refining operating cadences and shifting immediate execution workloads to your team, stepping in to coach them through complex roadblocks - Partner with Business Systems to get involved in open projects FIRST 90 DAYS - Drive the preparation and operational execution for the upcoming quarterly or annual sales planning cycles (territories, quotas, segmentation) - Achieve full oversight of the Sales Ops team's output, ensuring high-quality, precise delivery across all direct sales workstreams - Be recognized across Docker as both an indispensable technical anchor for Sales Operations and an impactful manager developing the next generation of operational talent Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $128.1K – $200K base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an Enterprise Account Executive to serve as a founding member of our go-to-market expansion into Southeast Asia, based in Singapore. You will drive adoption of safe, frontier AI by securing strategic deals with the region's leading digital-native companies—from high-growth startups to established unicorns and super-apps—across Singapore, Indonesia, Vietnam, Thailand, Malaysia, and the Philippines. Owning the full sales cycle from first outbound to launch, you'll act as a trusted partner to customers as they embed Claude into their products and operations. As a first mover in ASEAN, you'll shape our regional strategy from the ground up, building the playbooks and market insight that will scale as our team grows. Key responsibilities Win new business and drive revenue for Anthropic across ASEAN, owning the full sales cycle from prospecting through deployment with digital-native customers Design and execute sales strategies tailored to the region's distinct markets, accounting for differences in market maturity, regulatory environment, language, and buying behaviour across Southeast Asian countries Spearhead market expansion by identifying high-potential customer segments and use cases within the region's startup and scale-up ecosystem, including fintech, e-commerce, super-apps, gaming, SaaS, and logistics Establish foundational go-to-market practices as a first mover in ASEAN, creating playbooks, templates, and frameworks that scale with the team Inform product roadmaps by gathering customer feedback and conveying market needs specific to Southeast Asian enterprises, including multilingual and localisation requirements Collaborate with cross-functional partners in product, marketing, solutions, and partnerships—including regional cloud and channel partners—to differentiate our offerings and sustain a competitive edge Serve as a market expert on ASEAN's digital-native landscape, providing strategic insight to global leadership on regional trends, competitive dynamics, and growth opportunities Minimum qualifications 12+ years of enterprise sales experience driving adoption of emerging technologies with digital-native businesses in Southeast Asia, with a consultative, solutions-oriented approach Deep understanding of the ASEAN startup and scale-up ecosystem, including familiarity with leading digital-native companies across multiple markets in the region Track record of managing complex, multi-stakeholder sales cycles and closing strategic deals by translating multifaceted technical requirements into tailored solutions Proven experience exceeding revenue targets in fast-paced organisations while managing an evolving pipeline and sales process Extensive experience negotiating complex, customised commercial agreements in Southeast Asian market contexts Excellent communication and presentation skills, with the ability to build relationships from ICs to C-level executives and cultural fluency across ASEAN business environments Entrepreneurial mindset and comfort with ambiguity as a founding team member building processes and strategy from scratch Bachelor's degree in a related field or equivalent experience Preferred qualifications Experience selling AI/ML, developer platforms, cloud, or API-based products to technical buyers Existing relationships with founders, CTOs, and product leaders at prominent Southeast Asian technology companies Experience working with hyperscaler or channel partners to co-sell into regional accounts Working proficiency in a Southeast Asian language in addition to English (e.g. Bahasa Indonesia, Vietnamese, Thai) Experience establishing a new market or region for a high-growth technology company A passion for and/or experience with advanced AI systems, and a strong interest in ensuring frontier AI is developed safely Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.