Вакансии

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 runs one of the largest and fastest-growing infrastructure fleets in the industry, across multiple accelerator families, CPU families, clouds, neoclouds, and on-prem sites. Capacity Engineering owns the data, tooling, and systems that let Anthropic plan, measure, and maximize utilization of that fleet: we partner on supply deals, wire telemetry from day zero, own the canonical capacity data layer, and build the planning and enforcement tools every research and product team relies on. This role sits in the Planning pillar, on the Demand Planning team, and works daily with research engineering, pretraining, inference, compute supply, finance, and external vendors. You own the tranches. The job has two halves that feed each other. Upstream, you take the Demand Planning forecast and turn it into per-tranche requirements — shape, interconnect, region, supporting resources, date — and carry those into sourcing negotiations and data center build reviews so we contract for capacity we can actually use when we need it. Downstream, you own the integrated schedule and system of record for every tranche in flight — from contracted through reserved, ingested, in-cluster, healthy, and occupied — and you drive the owners of each hop to their dates. Every slip you see downstream becomes a contract-language fix, an automation, or a correction fed back to the forecast. What you'll do Turn the forecast into per-tranche requirements. Take the Demand Planning forecast plus direct input from research, pretraining, and inference planners, and convert it into concrete accelerator, interconnect, region, supporting-resource, and date requirements for each tranche. Represent those in sourcing negotiations and data center build reviews, including which contractual terms actually move delivery dates. Qualify tranches for deliverability before signature. The Capacity Planner signs fit-to-forecast; you sign whether the shape can land schedulable, healthy, and instrumented in that region on that date, with storage, egress, identity in place. Close the delivery loop. Track forecast-versus-delivered on shape, region, and timing for every tranche; publish the variance; and feed it back to Demand Planning and into the next contract. Own the bring-up system of record. Define the canonical contract-to-occupied state machine with explicit entry and exit criteria per stage, and make it a first-class object in the capacity data layer so every downstream tool sees in-flight capacity, not only what has landed. Run a portfolio of bring-ups in parallel — new cloud regions, on-prem sites, neocloud blocks — with one integrated schedule spanning provider milestones, cluster creation, network turn-up, storage readiness, health burn-in, and first-workload landing. Drive readiness automation: All capacity systems are fully integrated for all new capacity, from contracted through ingested, automated and scaled. Instrument and publish the numbers that matter — time-to-occupied and paid-idle dollars per tranche — with executive-level reporting on status, tradeoffs, and risk across the portfolio. What you bring Significant experience delivering large-scale infrastructure — cloud regions, accelerator clusters, HPC systems, or bare-metal fleets — at multi-region scale or ≥10k accelerators (or CPU/storage equivalent). Technical range from through cluster orchestration and node health, up to the telemetry and planning tables on top — enough to debug where they disagree rather than route it. SQL and enough Python to answer your own questions and build your own reporting. A degree in a technical field or an equivalent engineering track record. Preferred Reserved-capacity onboarding, private offers, or capacity commitments with cloud or neocloud providers. Enough demand-planning exposure to challenge a forecast, translate it into per-tranche requirements, and feed delivery variance back into it. Data center or colocation delivery: power and space planning, network turn-up, site acceptance, vendor management. Accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs — and a rigorous definition of "healthy." Systems of record or lifecycle services for infrastructure assets. Onboarding a new hardware generation into an existing scheduler and observability stack. 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: 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's infrastructure fleet spans a growing set of clouds, neoclouds, and on-prem sites.  Every part of it is expanding rapidly. Capacity Engineering is the team that connects every stage of that growth, from capacity planning to supply management to capacity delivery to utilization. We partner on supply deals, wire telemetry from day zero, own the canonical capacity data layer, and build the planning and enforcement tools every research and product team relies on. As an Infrastructure Capacity Planner on the Demand Planning team, you'll own the medium-range demand forecast for every resource class we consume: accelerators, CPU, storage, network, and managed services. Your forecast will support sourcing and purchasing, prioritization, efficiency targets, and workload optimization. Key responsibilities Build and own the medium-range multi-resource demand forecast: accelerators by chip/interconnect class, CPU by shape, storage by tier and access pattern, egress by path, managed services by SKU — driven by model roadmap, RL/inference growth, eval volume, and retention policy rather than trend lines. Run the plan-vs-reality loop. Diff planned allocations against observed fleet occupancy weekly, surface unrecorded trades and stale allocations, and drive variance toward zero with our planning-tools and data teams. Qualify each incoming capacity tranche against the forecast before signature: right shape, region, quarter, and supporting-resource envelope (storage, egress, CPU). Partner with Finance and cost-efficiency teams to turn the forecast into core drivers covering the large majority (≥80%) of non-accelerator spend, and to aim savings work where waste will appear next. What you bring Have done capacity, demand, or supply planning for large-scale technical infrastructure (cloud, HPC, hyperscale, or a large internal platform) and can articulate the difference between a forecast, a plan, and an allocation. Build the model yourself rather than specifying it for someone else: SQL against a warehouse, Python/pandas or a proper forecasting/optimization stack. Understand data-center resource classes well to know why storage and egress don't forecast like GPUs, and why a contract's headline chip count is rarely the binding constraint. Prefer simple, inspectable models to clever opaque ones, and instrument your own forecast error. Preferred qualifications Direct experience with cloud or neocloud providers on reserved-capacity onboarding, private offers, or capacity commitments. Demand planning or forecasting experience for accelerator fleets, including translating research or product roadmaps into resource requirements. Data center or colocation delivery experience: power and space planning, network turn-up, site acceptance criteria, and vendor management. Experience with accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs, and the ability to define healthy rigorously. Experience building lifecycle or state-machine services, or systems of record for infrastructure assets. Experience onboarding a new hardware generation into an existing scheduler and observability stack. 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: Bengaluru, India At Allucent™, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. Senior Clinical Data Manager I (SrCDM1) leads data management activities of the Allucent Data Management (DM) department. This position manages, coordinates, reviews and approves DM deliverables from database design & set-up, through cleaning and reporting to database locking, ensuring that the completeness, accuracy and consistency of clinical data meet the quality standards and regulatory requirements for analysis and reporting. This position also provides expertise in relevant data management areas and cross-functional initiatives, including the development of departmental processes, tools, and training of staff. The SrCDM1 provides support in Request for Proposals (RFPs) and presents at Business Development (BD) Meetings. The SrCDM1 is a member of the Data Management staff. Lead and serve as primary contact for DM with all relevant parties both internally (e.g. Clinical Programmers, Data Scientists, Project Management, Clinical Operations/Monitoring, Clinical Monitoring, Biostatistics and other functional groups) and externally (e.g. sponsors, vendors (EDC, external data), and investigational sites) Plan and project the resources required including management of tasks, timelines, risk and quality Monitor tasks against and keep track on budget, forecasts and manage changes of scope, budget, revenue recognition. Develop, review and maintain project-specific DM documents including data management plan (DMP), eCRF specifications, data validation plan (DVP) and external data transfer agreements throughout the lifecycle of the project and ensure adherence to the project requirements Lead and coordinate the development of clinical study database set-up, including eCRF design and database validation requirements Participate in the review of study documents (e.g. protocol, Project Plan, safety plans/manuals and statistical analysis plan), lead and coordinate the review of (electronic) case report forms (eCRFs) Coordinate, oversee and ensure the database User Acceptance Testing (UAT) related tasks are successfully completed Create training materials for EDC users and provide project-specific training as required Lead and oversee the review and validation of clinical data to ensure consistency, accuracy, integrity and completeness    Lead and serve as primary contact for DM with all relevant parties both internally (e.g. Clinical Programmers, Data Scientists, Project Management, Clinical Operations/Monitoring, Clinical Monitoring, Biostatistics and other functional groups) and externally (e.g. sponsors, vendors (EDC, external data), and investigational sites) Plan and project the resources required including management of tasks, timelines, risk and quality Monitor tasks against and keep track on budget, forecasts and manage changes of scope, budget, revenue recognition. Develop, review and maintain project-specific DM documents including data management plan (DMP), eCRF specifications, data validation plan (DVP) and external data transfer agreements throughout the lifecycle of the project and ensure adherence to the project requirements Lead and coordinate the development of clinical study database set-up, including eCRF design and database validation requirements Participate in the review of study documents (e.g. protocol, Project Plan, safety plans/manuals and statistical analysis plan), lead and coordinate the review of (electronic) case report forms (eCRFs) Coordinate, oversee and ensure the database User Acceptance Testing (UAT) related tasks are successfully completed Create training materials for EDC users and provide project-specific training as required Lead and oversee the review and validation of clinical data to ensure consistency, accuracy, integrity and completeness Create data cleaning strategy in consultation with applicable functional groups and oversee data releases (such as for DETC/DSMB/IDMC, interim and final locks, updates after lock) Perform and/or coordinate various data transfers and reconciliation activities including (but not limited to) SAE, PK, and (other) external laboratory data Provide project metric reports, status updates, study progress, feedback and advice to project team on site performance issues, data trends and protocol non-compliance Organize and lead Quality Review activities during stud Assist in project-related contracts negotiation and contracting process with vendors (EDC, IRT, eCOA) Manage the database maintenance, lock and close-out processes and procedure Participate in conference calls and/or meetings with vendors and sponsors Recognize and solve potential problems and evaluate effectiveness Maintain DM study documentation on an ongoing basis and ensure that all filing is up to date Plan and create necessary documentation to support internal and external audits; may participate in such audits assigned Help to align data management and clinical programming best practices, standards and conventions within the company Provide leadership, expertise and support to other department members. Propose and support initiatives for improving efficiency Actively support to staff learning & development within the company Share relevant information at applicable DM departmental meetings and organize and lead DM-related meetings and discussions Represent the company at professional meetings, webinars or seminars Train and mentor data management staff, support in development of new training material and provide training to relevant staff Participate in the interview process for new recruits Proactively track Data Management related regulatory development trends and updates, in consultation with department Global Head and/or Director, for further alignment and improvement of current processes Contribute as Clinical Data Management Subject Matter Expert (SME) to the evaluation/improvement/drafting of processes and procedures within the Quality Management System Assure good communication and relationships with (future) clients Contribute to and take part in client evaluations and visits Support in preparation of new proposals and budgets for Data Management services Requirements Life science, healthcare degree and/or combination of education and experience Minimum 5 years of relevant work experience as Clinical Data Manager Minimum 5 years of experience in drug development and/or clinical research Thorough knowledge and understanding of ICH-GCP,  21CFR11 data privacy (GDPR/HIPPA) guidelines and awareness of local/regional requirements Good understanding of Medical Terminology Experience with electronic data capture (EDC) software systems and other tools for managing clinical studies, including IRT and eCOA Experience as DM lead on several studies, preferably in different Therapeutic Areas and clinical development phases. Experience in covering all phases of a clinical study (start up, conduct and database lock). Thorough understanding of relational database components and experience in technical data management practices (validation plans, testing, and documentation Experienced in CDISC conventions, i.e., CDASH, TAUG models and hands on experience implementing these models Experience in developing data management standards Benefits Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Leadership and mentoring opportunities Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Access to online soft-skills and technical training via GoodHabitz and internal platforms Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees. About Allucent Our mission is to help bring new therapies to light. When you work at Allucent, that means applying your unique skill set, expertise, and knowledge to build partnerships with our clients in their pursuit to develop new, life-improving treatments. If you're passionate about helping customers develop new pharmaceuticals and biologics; have an entrepreneurial spirit; and ready to join other science, business, and operations leaders, we would love to get to learn more about how we can help each other grow. Together we SHINE. find more information about our values. Apply now! If you’re ready to bring your passion for clinical development and business growth to Allucent, apply today or reach out to Monica Grace (monica.grace@allucent.com) for more information. Disclaimers: *Our in-office work policy encourages a dynamic work environment, prescribing 2 days in office per week for employees within reasonable distance from one of our global offices. “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” Kindly share your CV to monica.grace@allucent.com

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As Developer Relations at Anthropic, you will help developers discover, onboard, and get the most out of Claude Code, Claude Tag, and future developer products. This role is pivotal in helping developers adopt Claude-powered products, growing our developer ecosystem, gathering crucial feedback to inform product development, and ensuring our products are used responsibly, safely, and securely. You'll be a hands-on technical voice for Anthropic's developer community, including partners, customers, and independent developers. Your success in this role will directly shape how developers experience and adopt Claude, helping users adopt new ways of working with Claude and bringing developer feedback back to product and research teams Building strong relationships between our developer community and internal teams will be essential as we advance our mission of creating reliable, interpretable AI that follows human intent. What You'll Do Drive Technical Strategy and Impact Shape how developers discover and engage with Anthropic's developer products (specifically Claude Code and Claude Tag), bringing a strong point of view grounded in hands-on experience and feedback from users. Build frameworks and mechanisms for measuring developer success that align with both business objectives and our mission of safe, beneficial AI Prioritize community and content initiatives based on data, developer feedback, and business needs Partner closely with product and engineering to ensure developer needs inform the roadmap Set the Bar for Developer Relations Craft Help define what world-class AI developer relations looks like in this emerging field Model excellence in technical content, code samples, and developer engagement that others can learn from Contribute to and help evolve the processes and best practices the broader DevRel function relies on Drive Scaled Developer Adoption and Success Understand the diverse needs of developers across segments, from individual hobbyists to enterprise engineering teams Partner with GTM, Sales, and Marketing to support developer-focused campaigns that drive adoption Lead and participate in high-impact developer events, workshops, and community activities that introduce Claude to strategic developer communities Generate high-quality technical content (ex: sample apps, tutorials, documentation, integration guides, and best practices) that demonstrates how to use Claude responsibly and effectively Drive Alignment Through Cross-Functional Collaboration Act as an advocate for developer needs at Anthropic, translating developer feedback into concrete product and content initiatives Collaborate with Research to translate AI capabilities into accessible educational resources Partner with Communications and Marketing to amplify developer success stories Promote best practices for responsible AI use among developers building with Claude About You You have 5+ years of experience in developer relations, developer experience, or technical product/engineering roles, with a track record of shipping content or tools that measurably grew a developer ecosystem You're technically credible. You can deeply understand AI/ML and API concepts and translate complex technical ideas for various audiences, from individual developers to enterprise engineers You have hands-on technical ability. You can write production-quality code demos, critically review developer samples for quality and best practices, and give specific, actionable technical feedback You have real insight into developer psychology and behavior. You know how to reach developers through the right channels, build authentic affinity for products, and design content that drives meaningful adoption You're passionate about AI's potential and deeply committed to ensuring it's developed responsibly, with a genuine interest in AI safety and ethical considerations You're a collaborative contributor who can influence across teams without direct authority, building strong relationships with stakeholders at all levels You've thrived in high-growth environments and can adapt quickly as priorities evolve Nice to Have Experience working specifically with large language models or generative AI Background in AI safety, ethics, or responsible AI development Public speaking experience at industry conferences and events Content creation experience (technical writing, video tutorials, etc.) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 an AV Operations Specialist, you'll be accountable for how the AV spaces perform, how support requests get resolved, and how events land in the space you're responsible for. This role will help own all areas within the AV landscape. In a given week you might execute a preventative maintenance sweep across a floor of conference rooms, work the support queue and drive a recurring failure to root cause, and then run technical coverage for an all-hands or an executive presentation that evening. You'll be the regional presence our AV Engineering and Production teams build on — the person who catches problems before users report them, and who turns what you learn on the ground into standards the rest of the team can run from. Your work directly enables the collaboration and transparency that advance our AI safety mission. Responsibilities Site Ownership & Room Health Serve as the AV owner for your office — accountable for the health, readiness, and performance of every room and event space in the building Execute preventative maintenance programs and recurring room sweeps on a defined cadence, not only in response to tickets Maintain accurate inventory of room systems, peripherals, wireless microphones, cameras, and portable production gear, including spares strategy and replacement cycles Coordinate AV scope for office moves, room reconfigurations, and new-space readiness in partnership with Workplace and AV Engineering Know your estate: maintain the room documentation, as-builts, and site-specific gotchas that make your office supportable by anyone on the team Support Operations Help own the AV support queue — triage, prioritization, resolution, and escalation with clear diagnostic context Participate in the regional AV on-run rotation (West, East, or EMEA), covering AV issues during local business hours alongside the daily room-check discipline Systematically isolate faults to a point in the signal chain rather than reaching for reboots and cable swaps Drive recurring issues to root cause and surface them to AV Engineering as candidates for platform-level or design-level fixes Contribute to runbooks, standard operating procedures, and knowledge base documentation that other technicians follow Event Support & Production Provide technical coverage for live and hybrid events in your office — from small executive presentations and team meetings through to all-hands and company-wide broadcasts Operate event production systems including audio consoles, video switchers, camera systems, playback, and streaming encoders Run pre-event readiness: walkthroughs, rehearsals, source checks, gear staging, and failover planning Handle scoping conversations with requesters — translating what a stakeholder wants the event to feel like into an equipment and staffing plan that fits the team's SLA Turn novel one-off events into repeatable standards — a template, runbook, or gear list that makes the next one easier for the whole team Vendor Direction & Cross-functional Partnership Direct AV integrators, contractors, and event labor on site, holding them to defined scope, SLAs, and quality standards Partner with Workplace, Events, and IT on lead times, expectations, and readiness Act as the regional feedback loop to AV Engineering — what's failing, what's missing, and what the standard should be Communicate status, risk, and resolution to non-technical stakeholders in clear, calm, jargon-free language You May Be a Good Fit If You: Have 8+ years of hands-on experience in AV operations, workplace technology, or technical event support Have owned a standing estate — the same rooms, the same stakeholders, week over week — and were accountable for how those spaces performed over time Bring working fluency across room systems, event audio, video, camera, and streaming, with enough depth to diagnose problems rather than only report them Are comfortable being the only AV person in the building, and can prioritize independently across maintenance, support, and events Bring structure to ambiguity — checklists, intake processes, maintenance cadences, and documentation Are energized rather than drained by being the front-facing technical partner to executives, event producers, and everyone else who walks up to you in a hallway Take ownership end-to-end, from noticing a recurring failure to getting it permanently fixed Thrive in a fast-moving environment where standards are being written rather than inherited Strong Candidates May Also Have Experience With: Q-SYS DSP platforms — comfortable navigating and reasoning about existing audio/video routing and control designs Logitech CollabOS and Sync, Google Meet hardware, Zoom Rooms, and enterprise room system administration Preventative maintenance and room-sweep programs across a distributed room fleet Broadcast video switchers such as Blackmagic ATEM, Ross Carbonite, or NewTek TriCaster Digital audio mixing consoles such as Yamaha DM7 or CL/QL series, and Shure wireless systems PTZ camera systems and multi-camera workflows Ticketing and workflow systems such as Jira, and participation in an on-run rotation Coordinating AV contractors, integrators, and labor for site support and event coverage CTS certification or equivalent demonstrated capability Role Specific Location Policy: This role will be based in our New York office This role is expected to be in office 5 days per week Occasional evening and early-morning coverage is expected around major events 4-6 weeks of travel annually may be expected for this role for distributed support, office buildout support, and event coverage as needed 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: $230,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dublin, IE About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an experienced VAT/GST professional to join our growing Tax team in our Dublin office. In this role, you'll be responsible for managing and advising on all indirect tax matters outside the United States, spanning Europe, UK, APAC, and other international markets. You'll work closely with our Global Indirect Tax team, compliance Lead and the broader tax team to develop and execute our international VAT/GST strategy as we scale our AI products globally. This is an exciting opportunity to join an AI safety company at the forefront of the industry and help build out our international indirect tax function from the ground up. You'll partner cross-functionally with Finance, Accounting, Legal, Product, and Go-to-Market teams to embed tax considerations into our global operations. Responsibilities Advisory & Planning Provide VAT/GST advisory support on new product launches, pricing models, customer contracts, and go-to-market strategies across international markets Advise on the indirect tax implications of corporate restructuring, entity establishment, and intercompany arrangements Develop and maintain indirect tax positions and documentation for digital services across multiple jurisdictions Support tax-efficient structuring for infrastructure procurement and and reseller arrangements Monitor and assess the impact of regulatory changes, including EU VAT in the Digital Age, OECD initiatives, and local digital services tax developments Compliance Support & Collaboration Work alongside the Global Indirect Tax Compliance Lead to support VAT/GST registration, filing, and compliance across 30+ jurisdictions Assist with customer classification (B2B vs B2C), and place of supply determinations Support audit defence and respond to queries from international tax authorities Collaborate with external advisors across jurisdictions to ensure accurate and timely compliance Systems & Process Partner with Finance Systems to ensure proper tax configuration within ERP, billing platforms, and tax engines for international transactions Support testing and implementation of system changes affecting international indirect tax Key Jurisdictions EU (with particular focus on Ireland as primary billing entity), UK, Switzerland Australia, Japan, Singapore, and broader APAC Canada, Latin America and emerging markets as Anthropic expands You may be a good fit if you Have 8+ years of VAT/GST experience, with deep expertise in European and international indirect tax Possess strong technical knowledge of VAT rules for digital services, including place of supply, B2B/B2C distinctions, and reverse charge mechanisms Have experience in technology or SaaS companies, ideally with consumption-based, API, or subscription business models Are skilled at translating complex business models into clear tax positions and advice Can communicate complex tax concepts clearly to non-tax stakeholders across all levels Thrive in fast-paced environments and are comfortable building processes where none exist Ability to partner well with direct tax, transfer pricing and accounting personnel Are proactive, self-starting, and able to work independently while collaborating effectively with a global team Have excellent project management skills and attention to detail Strong candidates may also have CTA, ATT, ACA, or equivalent professional tax qualification Experience with Big 4 or national accounting firm indirect tax practices Hands-on experience with tax technology solutions (Vertex, Avalara, Anrok, or similar) Experience with ERP and billing systems (Workday, NetSuite, Stripe) Experience managing relationships with tax authorities and handling audits Familiarity with customs duties, digital services taxes 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: €220.000 — €220.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships. Responsibilities Financial Analysis : Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making Deal Structure Optimization : Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests Deal Review and Approval Management : Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications Cross-Functional Coordination : Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals Risk Assessment : Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders Policy Implementation : Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives Process Development : Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls Documentation and Reporting : Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance You may be a good fit if you Have 7+ years of experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows Have experience with CRM systems, CPQ tools, and contract management platforms Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Strong candidates may also have Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking Experience with deal desk operations at companies with subscription and consumption-based business models Knowledge of enterprise software contract terms and industry-standard commercial practices Understanding of AI business models and the unique commercial considerations The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $325,000 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 | 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: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Please note this role requires 3 days in office per week. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $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 | 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. At Anthropic, we believe new AI capabilities are best achieved through secure foundations, not in spite of them. As capabilities grow more advanced, it is critical that progress moves forward safely and for the benefit of all society. It is the reason why security sits at the center of our work, and not as an afterthought. We're specifically looking for a Software Engineer to help us build and maintain new agentic coding tools for developers. The ideal candidate will have a passion for developer tools, extensive knowledge of diverse programming environments and languages, and experience with advanced LLM features like tool-use, chaining and orchestration patterns, and prompt engineering. Curiosity about AI research is a must! Responsibilities: Design, build, and maintain scalable features and infrastructure for AI-powered development tools Engage directly with developers inside and outside Anthropic to gather insights and improve user experience Collaborate with researchers to improve model capabilities through shared tools and evals Stay ahead of advancements in AI-assisted coding by experimenting with new tools, evaluating emerging techniques, and tracking enhancements to existing ones Contribute across the stack—from front-end UI to back-end infrastructure—to develop new features, fix bugs, and optimize performance Dive into possibly unfamiliar areas like Python notebooks, VS Code plug-ins, and containerized environments. You may be a good fit if you: Are excited about AI-assisted coding as a tool to enhance developer productivity and creativity—not replace human ingenuity Spend a lot of time refining and customizing your AI workflows Have experience building and maintaining dev tools Are an expert in React development, including performance optimization, modern patterns (hooks, context, suspense), and component architecture Specialize in user experience engineering but are a capable full stack developer Have hands-on experience working with large language models and prompt engineering Have worked on projects with stringent safety, security and/or compliance requirements Care about the societal impacts and ethics of your work Have 6+ years of work experience Strong candidates may also have experience with: Building and maintaining CLI tools Working in large codebases and quickly jumping in to unfamiliar development environments Working with container orchestration and cloud infrastructure Scaling TypeScript projects Working with alternate JavaScript runtimes like Bun and Deno 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 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is working on frontier AI systems that handle sensitive information at enormous scale. How we protect that data, and how we build privacy into our systems rather than bolting it on afterward, is central to our mission of building AI that is safe and beneficial. This is a foundational role. As one of our first dedicated privacy engineers, you will help establish the privacy engineering function at Anthropic and shape how privacy is designed into our AI systems from the ground up. You'll sit within our Data Infrastructure team, architecting privacy-preserving systems, leading the implementation of privacy-enhancing technologies across our infrastructure, and providing technical leadership on privacy across engineering, research, and product teams. You'll work at the intersection of privacy engineering, AI safety, and distributed systems, solving problems that don't yet have established answers. This is a senior individual contributor role with high autonomy and broad influence. Key responsibilities Design and implement privacy-preserving architectures for AI training and inference systems operating at very large scale, using techniques e.g. differential privacy, federated learning, and secure multi-party computation Partner with researchers to implement privacy-preserving training methods that protect user data while maintaining model quality Build foundational privacy infrastructure, including automated data discovery, classification, access controls, audit logging, and lifecycle management Translate regulatory requirements (e.g., GDPR, CCPA, HIPAA, the EU AI Act) into technical implementations and automated compliance controls Architect data governance systems for tracking data lineage, purpose limitation, and retention across distributed AI systems Lead privacy reviews and threat modeling for new models and features, identifying risks and designing scalable mitigations Partner with product and infrastructure teams to embed privacy controls into Claude's inference systems, user interfaces, and data pipelines Develop privacy engineering toolkits and frameworks that enable other engineers to build privacy-preserving features by default Design privacy-preserving analytics and measurement systems that surface useful insights without exposing individual user data Evaluate emerging privacy technologies from academia and industry, and contribute to open-source tooling and AI privacy standards Advise on and advocate for privacy practices as a core part of how we approach AI safety Minimum qualifications Experience applying privacy engineering principles in production systems, including privacy by design, data minimization, and purpose limitation Proficiency in Python, Go, or similar languages, with experience building and operating production systems at scale Experience designing and implementing privacy infrastructure for systems with a large user base Experience with data governance, classification, or data lifecycle management systems Experience with distributed systems and cloud infrastructure at scale Understanding of privacy regulations such as GDPR and CCPA, and the ability to translate legal requirements into technical designs Experience conducting privacy reviews, threat modeling, or risk assessments Written and verbal communication skills sufficient to build alignment across engineering, research, legal, and product teams Preferred qualifications Hands-on experience with privacy-enhancing technologies (e.g., differential privacy, homomorphic encryption, secure enclaves, secure multi-party computation) Experience building privacy infrastructure or controls for machine learning or AI systems Experience establishing a privacy engineering practice, or being an early hire in a function Experience serving as a technical lead on complex, multi-quarter projects Contributions to open-source privacy tooling, privacy research, or industry standards 12+ years of experience in a software engineering role, including building and operating large-scale infrastructure 3+ years of experience leading large, complex projects as a technical lead 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 | 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 is seeking an Internal Communications Manager to serve as a dedicated communications partner to our Core Tech organization (the teams building and securing the systems behind Claude, from engineering and infrastructure to security). Depending on your background and where the need is greatest, your portfolio might center on security, on engineering more broadly, or span both - we'll shape that together during the hiring process. Internal communications at Anthropic is not a support function that plans meetings and sends newsletters. The best people in this role operate like advisors who embed themselves deeply in the orgs they support, earn a seat at the leadership table, write on behalf of executives, and see around corners,  anticipating what the organization will need to hear before anyone asks for it. There are traditional elements to the role too, like all-hands planning and org change announcements, and you'll run those with operational excellence. But the heart of the job is more creative and will require you to find ways to connect the rest of the company to some of the most consequential and least visible work at Anthropic, and making the line between that work and our mission clear and strong. The work of Core Tech is deeply technical and the company depends on it (like architecting new products for Claude to reach users, model inference, capacity planning, building reliable systems, and the security that protects all of it) but most employees rarely see this work directly…unless something goes wrong. Your job is to change that by understanding this work, and the people doing it, well enough to tell its story credibly, and to help its leaders communicate with clarity and candor as the company scales. Responsibilities Own the internal communications strategy for your portfolio within Core Tech, becoming an expert in the team's work and a trusted member of its leadership team Serve as a hands-on advisor to executives - help them think through what to say and when, draft communications in their voice, and give them honest counsel, especially in moments when that’s challenging or uncomfortable. Translate deeply technical work into narratives that land with employees across every function, without losing the substance Get creative about how you connect people to the work - don't default to creating a slide deck when a demo or something no one has tried yet would land better Anticipate communications needs before they arrive (e.g. launches, incidents, organizational change, moments of external attention) and have a plan ready for how we’ll bring employees along Design and implement strategies to boost signal and reduce noise, so employees know what's important and what it means for them Plan and execute internal fora like all-hands and AMAs with operational excellence Exercise sound judgment with sensitive material, especially where security work requires care about what is shared, with whom, and when Partner closely with the broader internal communications team to ensure updates are accurately and consistently cascaded across existing channels and live forums You may be a good fit if you Have 8–12 years of experience in communications or an adjacent craft where you learned to make complex, high-stakes material clear under pressure (e.g journalism, speechwriting, chief of staff work, strategy and operations) Are an exceptional writer with a particular talent for distilling technical decisions and cross-functional projects into simple, compelling narratives, and can write convincingly in someone else's voice Have served as a trusted advisor to senior leaders and know how to build those relationships: when to push, when to listen, and how to deliver a recommendation even when it’s something an exec may not want to hear Can embed credibly with engineers and security practitioners. You are curious about how technical systems work, ask good questions, and earn the trust of people who may be skeptical of comms by default See the big picture and are able to connect individual team updates to company strategy and mission Have a keen eye for organizational culture and can recognize authentic moments worth amplifying Strong candidates may also Have experience communicating about security, infrastructure, or other deeply technical domains Have worked at AI companies, frontier tech companies, or other organizations where the technical work moves faster than most people can follow Have built or run internal communications programs during periods of rapid organizational growth The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $295,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 | 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 international footprint is expanding rapidly — new entities, new markets, and commercial arrangements of unusual scale and novelty. The Tax team is hiring its first dedicated leader for US international tax reporting and compliance, a role that owns the US international components of our global income tax provision and our US international compliance program end to end, reporting to our global provision lead. You will be the technical authority on how US international tax rules apply to a frontier AI company: modeling net CFC tested income (NCTI, formerly GILTI), the FDDEI (formerly FDII) deduction, BEAT, Subpart F, and foreign tax credits through the provision each quarter, and standing up a compliance process that scales with the company. This is a hands-on leadership role — you will build the calculations, the controls, and eventually the team, while partnering closely with Accounting, Treasury, Legal, and our Big 4 advisors. Key responsibilities Own the US international components of the quarterly and annual worldwide income tax provision: NCTI/GILTI, Subpart F, FDDEI/FDII, BEAT, foreign tax credit computations, Section 861 expense allocation and apportionment, E&P and PTEP tracking Own outside basis difference analysis and indefinite reinvestment assertions under ASC 740-30, and US international aspects of valuation allowance and uncertain tax position assessments Design and operate SOX controls over the international provision process and support the financial statement audit with our external auditors Lead preparation and review of the US international tax return workpapers and forms — today Forms 5471, 8992, and 926, expanding to Forms 1118, 8858, 8865, 8991, and 8993 as the international footprint and tax profile grow — including elections, statements, and disclosures, working with our co-sourced Big 4 compliance provider Support US withholding tax compliance (Forms 1042/1042-S) and cross-border payment analysis Build a compliance calendar, data pipelines, and review procedures that keep pace with new entities and transactions; drive automation and tax technology adoption (including AI tooling) Assist the tax planning and M&A teams on modeling the US international tax consequences of new market entry, entity structuring, intercompany and transfer pricing arrangements, financing, and M&A — from diligence through integration Monitor and model legislative and regulatory developments (OBBBA implementation guidance, Pillar Two interaction with the US system) and model their provision and cash tax impacts for leadership Manage outside advisors, support audit defense and controversy on US international issues, and mentor and develop tax team members Minimum qualifications Have substantial US international tax experience serving or working in multinational software and technology companies, with a combination of Big 4 public accounting and in-house corporate tax department experience Have deep technical command of US international tax law — NCTI/GILTI, Subpart F, FDDEI/FDII, BEAT, foreign tax credits, E&P/PTEP, Section 861 allocation — and of ASC 740 as it applies to those items, including ASC 740-30 outside basis analysis Have owned both the provision and the compliance sides of a US international tax function at scale, including reviewer-level command of Forms 5471, 8858, 8865, 1118, 8991, 8992, and 8993 Hold a CPA and/or JD; a Master's in Taxation or LLM is a plus Communicate complex technical positions clearly to auditors, executives, and non-tax partners, and are comfortable being the sole authority on your domain Thrive in a high-growth, high-ambiguity environment where the fact pattern is often novel and the process has to be built, not inherited Preferred qualifications Experience with Pillar Two data and modeling and its interaction with US rules Experience with the tax aspects of large, novel commercial arrangements — infrastructure and compute agreements, strategic investments, or complex equity structures Hands-on experience with tax technology and an interest in applying AI tools to tax workflows Pre-IPO readiness or public company reporting experience at a multinational software company M&A experience spanning diligence, structuring, purchase accounting, and post-close integration 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: San Francisco, CA | 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 We are seeking a Finance Systems Analyst, Tax, to join the Tax Technology team within Finance Systems at Anthropic. You will be responsible for the day-to-day running of Anthropic's tax systems: taking in and triaging requests, keeping tax configuration correct as products launch and registrations change, testing changes before they go live, analyzing tax data, and producing the evidence that shows our tax controls are comprehensive and functional. You speak both tax and system languages natively and serve as the gap between technical teams and the business. This is an early hire on a small team, and the role is broad by design. It suits someone with a tax operations background who is at home in systems and data; it is not a software engineering role. You will work between the tax team and the systems that calculate and report tax, translating tax requirements into configuration and test cases and building technically appropriate tools with Claude where they are safe and save time. You will report to the Tax Technology Lead and work directly with vendors, auditors, Billing Engineering, Accounting, and the Tax & Treasury team. As the team grows, you will take end-to-end ownership of an area of tax, a tax tool, or new products and jurisdictions. Responsibilities Intake & Triage: Own the queue of tax systems requests from billing support and across the tax team, from intake and triage through resolution or escalation, keeping requesters informed along the way; help build the intake process, including with Claude, as request volume grows Tax Configuration: Make and document tax configuration changes as products launch and our footprint grows, including product taxability mapping, registrations, and exemption and refund rules; build runbooks and periodic completeness checks, such as reviewing the products in our billing systems against tax configuration Testing & Change Management: In conjunction with our PMO team or alone, design and run user acceptance testing (UAT) for tax and billing changes, keep the test evidence, and give the tax sign-off before changes go live Tax Data Analysis: Write SQL against our data warehouse to build reconciliations and tie-outs, investigate discrepancies, and answer ad hoc questions from the tax team Controls & Evidence: Prepare ITGC evidence and run the recurring SOX and IPE evidence cycle for tax controls, support auditor walkthroughs, and follow remediation items through to closure Cross Functional Collaboration: Act as the tax systems point of contact for Billing Engineering, Accounting and Product, bringing the tax view to design questions and flagging tax impacts before changes ship Process Improvement & AI Tools: Use Claude and other AI tools to build reliable, repeatable queries, small tools and documentation that take manual work out of tax operations, and check the output before anyone relies on it; help tax colleagues with a range of technical skills use these tools safely Minimum Qualifications Have hands-on experience configuring or supporting an enterprise tax engine, tax provision tooling, or a billing or ERP system in a tax-facing role Can read and write SQL well enough to test and build deterministic reconciliations and trace a discrepancy to its source without help Are skilled at translating tax requirements into configuration, test cases and clear requests for engineering teams Have owned or been involved in user acceptance testing on a finance systems project, from test design through execution and evidence Understand SOX, ITGC and IPE controls, can produce evidence that auditors accept, and have worked with external advisors and auditors Have cross-functional experience, communicate clearly with non-technical colleagues, and work directly with vendors, auditors and engineers without an intermediary Are comfortable working in a fast paced, high growth environment with evolving requirements and stepping outside of your comfort zone Approach areas of tax you may not have experience in with genuine curiosity and a willingness to learn Prioritize well and stay resilient when there is more work than time Preferred Qualifications Have 7+ years of experience in tax operations, tax technology or finance systems, with deep, practical knowledge of indirect and/or direct tax (such as sales and use tax, VAT/GST, corporate income tax, transfer pricing, withholding or property tax, R&D credits and incentives) Experience across both indirect and direct tax, such as tax provision tooling, income tax compliance, R&D credit tools or transfer pricing data Python and data warehouse experience Experience with tax setup on the purchasing side of an ERP, from purchase orders through supplier invoices Experience with marketplace facilitator rules or usage-based billing Familiarity with e-invoicing and real-time tax reporting requirements outside the US Experience standing up a recurring controls evidence cycle A track record of using Claude or other AI tools to speed up finance or tax work, with checks that hold up to review Tax experience at a large or high growth technology company, such as a multinational SaaS business The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $205,000 — $270,000 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: Poland; Finland; Australia; South Africa; Germany; Estonia We’re building a local network of talented PV experts to collaborate with on future projects. We’d love to connect with professionals who are interested in staying in touch for freelance (parttime) opportunities. Let’s start the conversation and build a connection! Currently we are looking to add people to our network in Poland. At Allucent™, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of post-marketing regulatory requirements to ensure continued safety and availability of life-changing therapies for patients around the world. At Allucent we are big enough to deliver and small enough to care. We know all our colleagues by name and work together as a team to make everyone SHINE. The role The Local Contact Person for Pharmacovigilance (LCPPV) coordinates and performs the logistical aspects of pharmacovigilance activities in post-marketed programs to ensure compliance with local requirements. This position controls and monitors operational pharmacovigilance activities and may back-up Pharmacovigilance Manager(s) as required. Main responsibilities: Acts as the primary point of contact for the local regulatory authorities, including 24/7 if legally required Monitors and maintains awareness of safety issues and recommendations published by the local regulatory authorities, concerning the client products or products class Monitors and maintains awareness of changes to local legislation pertaining to pharmacovigilance Supports client audits and inspections, as required, including attendance, provision of requested documentation and completion of Corrective Actions and Preventive Actions (CAPAs), if needed Performs local literature screening and collection of safety information Assists on the development or the review of the local pharmacovigilance system master file (LPSMF), if required Supports local signal detection, if applicable Manages locally risk minimization measures, as applicable Reports to and maintains regular communication with the EU QPPV Supports the review of local PV agreements, if requested Performs local PV training to eg. sales force, affiliate personnel, distributors Provides monthly activity report on status of local PV system Requirements Who are we looking for: University degree, preferably in medicine, pharmacy or life sciences and minimum 2 years of experience in the performance of pharmacovigilance post-marketing activities Have up-to-date knowledge of applicable global and local regulatory requirements In-depth knowledge of the pharmacovigilance legal framework in country where LCPPV services are delivered Fluency in the written and spoken English language Reside in the country where LCPPV provides services, if required Benefits About Allucent Our mission is to help bring new therapies to light. When you work at Allucent, that means applying your unique skill set, expertise, and knowledge to build partnerships with our clients in their pursuit to develop new, life-improving treatments. If you're passionate about helping customers develop new pharmaceuticals and biologics; have an entrepreneurial spirit; and ready to join other science, business, and operations leaders, we would love to get to learn more about how we can help each other grow. Together we SHINE. Find more information about our values. Disclaimers: “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.”

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 building custom silicon for Claude. The hardware our models run on is one of the most direct levers we have on capability, cost, and reliability — and we've decided to take design authority over it ourselves. We're looking for a Technical Program Manager to own end-to-end execution of our silicon, from architecture definition through tapeout, first-silicon bring-up, and production ramp. You'll be working alongside a small group of domain experts across front-end design, verification, physical design, DFT, analog/mixed-signal, foundry, and packaging. There is no process to inherit — you'll build the execution machinery this program runs on. This is a partner-heavy program by design. You'll drive a portfolio of external engagements — ASIC design services, IP vendors, foundry, and OSAT. You should have shipped chips before, know what a realistic silicon schedule looks like and its failure modes, and be comfortable making consequential program calls without a large organization behind you. And because this is Anthropic, you'll have Claude as a collaborator — we expect the TPMs on this team to push hard on what AI-assisted program management can look like. Key responsibilities Own the integrated silicon program plan — architecture closure, RTL freeze, DV milestones, IP delivery, PD closure, DFT, tapeout, and post-silicon bring-up. Drive external partner execution across ASIC design partners, IP vendors, foundry, and packaging/test. Run technology and IP selection as a program: track candidate vendors and options, drive evaluations to a decision, and land the build / buy / license calls with engineering leadership. Build the execution mechanisms a silicon team needs — milestone definitions, risk and dependency tracking, design reviews, release management, exec reporting — and keep them lightweight enough that engineers actually use them. Manage the interface between silicon and its consumers: hardware systems for package/board/bring-up, and inference/kernels/compiler teams for hardware-software co-design, so trade-offs land as coordinated decisions rather than late surprises. Own the post-silicon program — bring-up planning, ATE/test handoff, sample distribution, validation, and the path to production readiness. Develop and share AI-assisted approaches to program management — schedule and dependency modeling, spec and milestone consistency checking, partner-deliverable tracking, status synthesis. Minimum qualifications 8+ years in silicon/SoC program management, chip lead, or an equivalent role that owned a chip schedule end to end. Direct ownership of at least one program that taped out and reached production, with milestones you can speak to in detail — including where it slipped and what you did about it. Working technical fluency across the silicon lifecycle — front-end, DV, PD, DFT, foundry, packaging. Experience running external silicon partners — ASIC houses, IP vendors, foundry, or OSAT — including SOW scoping, delivery tracking, and escalation. Track record of building program mechanisms from scratch on an ambiguous, fast-moving effort. Strong written communication — plans, reviews, and exec updates that many teams depend on. Comfort operating with high autonomy and limited process on a highly dynamic program. Preferred qualifications Experience on ML accelerators, high-performance compute, networking, or other large, high-bandwidth SoCs at advanced process nodes. Experience on a first-generation or early silicon program, including standing up flows, methodology, or vendor relationships from nothing. Experience with both partner-executed and fully in-house programs, and a view on the trade-offs between them. Prior hands-on engineering background in one or more silicon domains (design, DV, PD, DFT, or SI/PI). Familiarity with the chip-package-system interface and co-design with a hardware systems team. Experience with hardware-software co-design programs — working directly with compiler, kernel, or runtime teams. Practical experience using AI tools in your own workflow, and clear ideas about where they help and where they don't. BS/MS in EE, CE, CS, or a related field, or equivalent experience. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Australia At Allucent™, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. Looking to take your project management expertise to the next level? Join us as a Project Manager II (PM II) / Senior Project Manager (Sr. PM) and lead the delivery of complex clinical trials that make a meaningful impact for patients worldwide. We are seeking a strategic and execution-focused leader with strong experience managing multispecialty therapy studies who thrives in a fast-paced, collaborative environment. About the Role As a Project Manager, you will lead with impact and drive global clinical trials from study start-up through final delivery. You’ll oversee cross-functional teams, ensuring studies remain on track, on budget, and compliant with GCP and regulatory requirements while serving as the primary point of contact for sponsors, vendors, and internal stakeholders. With a focus on proactive problem-solving, risk mitigation, and operational excellence, you’ll play a critical role in delivering high-quality clinical programs that exceed client expectations. Your main responsibilities will include but not limited to: Driving project success by leading cross-functional teams to deliver clinical trials on time, within scope, and on budget. Ensuring excellence and compliance by developing and executing project plans aligned with GCP, SOPs, and regulatory standards. Aligning stakeholders by serving as the primary point of contact for sponsors, vendors, and internal teams. Optimizing vendor performance through strategic selection, management, and oversight. Mitigating risks and control budgets by proactively addressing challenges, scope changes, and resource allocation. Maintaining inspection-ready documentation by leading key meetings and ensuring the Trial Master File and study records are complete. Requirements About You If you are a results-driven Senior Project Manager with a proven track record of leading complex clinical trials from start-up to closeout. If you thrive in fast-paced environments, excel at aligning teams and stakeholders, and take pride in delivering projects on time, on budget, and with uncompromising quality then this role is for you. To be successful, we are looking for the following traits and behaviors: Minimum bachelor’s degree in life science, healthcare and/or business degree PM II: Minimum 6 years of relevant work experience, specifically experience in drug development and/or clinical research ; Minimum 1 year of project management experience, specifically as a clinical project manager Sr. PM: Minimum 6 years of relevant work experience, specifically experience in drug development and/or clinical research ; Minimum 4 years of project management experience, specifically as a clinical project manage Strong expertise managing the unique operational complexities associated with our Multispecialty ACE Team. Expert knowledge of ICH-GCP(R2), data and patient privacy practices, and applicable (local) regulatory requirements Demonstrates strong financial acumen, administrative excellence and analytical skills Experience managing all phases of the full-service clinical trial delivery lifecycle (Start-up, Maintenance, Close-out). About Allucent Our mission is to help bring new therapies to light. When you work at Allucent, that means rolling up your sleeves and applying your unique skill set, expertise, and knowledge to build partnerships with our clients in their pursuit to develop new, life-improving treatments. If you're passionate about helping customers develop new pharmaceuticals and biologics; have an entrepreneurial spirit; and ready to join other science, business, and operations leaders, we would love to get to learn more about how we can help each other grow. Together we SHINE. Find more information about our values. Benefits Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Opportunity for remote/hybrid* working depending on location Leadership and mentoring opportunities Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Access to online soft-skills and technical training via internal platforms Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees Disclaimers: *Our hybrid work policy encourages a dynamic work environment, prescribing 2 days in office per week for employees within reasonable distance from one of our global offices . “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.”

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 trains and serves frontier AI models on some of the largest accelerator fleets in the world, and we're now building the custom hardware systems that fleet will run on — from the package boundary out through boards, racks, interconnect, power, cooling, and the datacenter interface. We're looking for a Technical Program Manager to own execution of these hardware systems from concept through production deployment. You'll drive the program that turns architecture and specs into boards and racks that ship — managing ODMs, CMs, and component vendors on one side, and coordinating silicon, firmware, infrastructure software, supply chain, and datacenter teams on the other. This is a role on a new hardware team. You'll build the program cadence, review structure, and NPI process this team runs on. We need someone who has shipped hardware at scale, has a realistic view of ODM/CM schedules and where they break, and is comfortable owning consequential program calls without a large organization behind them. Key responsibilities Own the integrated hardware systems program plan across board, chassis, rack, and interconnect — from requirements through EVT/DVT/PVT, qualification, and production ramp — and be the source of truth on schedule, risk, and readiness. Drive execution with ODMs, contract manufacturers, and component/optics vendors: SOWs, build schedules, deliverable tracking, factory readiness, and escalation when they slip. Stand up and run the NPI cadence — build matrix, engineering reviews, DFx, issue triage, exit criteria — and keep it lightweight enough that a small, senior team actually uses it. Drive the bring-up and validation program for new platforms: lab and pilot-rack logistics, firmware/BMC/diagnostics coordination, test coverage, and the reliability and telemetry targets a platform has to hit before it enters the fleet. Own the interfaces that make or break a hardware program: silicon (samples, package, power/thermal envelopes), datacenter (power, cooling, rack integration, deployment windows), infrastructure software (management plane, provisioning, telemetry), and supply chain (long-lead components, second-sourcing, allocation). Run partner and technology evaluations as a program — candidate ODMs, reference platforms, connector/optics/memory options — and land build / buy / co-design recommendations with the architecture team. Own program communication upward and outward — for an audience that ranges from architects to executives. Develop and share AI-assisted approaches to hardware program management — issue-tracker synthesis, build-readiness checking, spec/BOM consistency, ODM-report digestion. Minimum qualifications 8+ years in hardware systems / NPI program management for compute, networking, storage, or accelerator platforms. Direct ownership of at least one platform from concept through volume production — you can walk through its EVT/DVT/PVT arc, what broke, and how you recovered. Working technical fluency across the hardware stack — power delivery, thermal, mechanical, high-speed interconnect, board design, system management — sufficient to interrogate status and push back credibly on architects and vendors. Experience managing ODMs/CMs and component vendors, including SOW negotiation, build tracking, quality escapes, and escalation. Track record of standing up program mechanisms on a new or early-stage hardware effort, not just operating inside a mature PLC. Strong written communication — plans, reviews, and exec updates that many teams depend on. Comfort operating with high autonomy and limited process in a fast-moving, ambiguous environment. Preferred qualifications Experience with AI/ML accelerator systems (GPU, TPU, custom ASIC), HPC, or hyperscale datacenter platforms and their scale-up / scale-out fabrics. Experience taking a first-generation, custom-silicon-based system from bring-up through fleet deployment. Experience with liquid-cooled and/or high-density rack architectures, rack level high power distribution, or optical interconnect programs. Familiarity with the chip-package-system interface and coordinating tightly with a silicon team. Experience with datacenter integration, deployment, and fleet-scale reliability/RAS programs. Practical experience using AI tools in your own workflow, and clear ideas about where they help and where they don't. BS/MS in EE, CE, ME, or a related field, or equivalent experience. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 Team Our Reinforcement Learning teams are central to advancing our AI systems, contributing to every Claude model and driving the autonomy and coding gains in our latest releases. The work spans computer use, code generation through RL, fundamental RL research for large language models, scalable infrastructure and training methodologies, and model reasoning. Research TPM team supports the full model development lifecycle, from pre-training through post-training, operating at the frontier of AI development. About the Role As a Technical Program Manager on the reinforcement learning team, you will own the systems and programs that determine how fast our research moves: a trustworthy read on the state of RL research, the review and prioritization processes that turn that read into critical decision for production RL runs. Strong candidates should have an ML engineering or research background and have grown into program leadership. You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real time when research or production runs hit problems. You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and teams across research, infrastructure, product, and data operations, and coordinate across them without losing velocity. Join us in our mission to build AI systems that are safe, reliable, and beneficial to humanity. Responsibilities Deliver a regular read on the ground truth in RL research, covering performance against baselines, experiment results, day-to-day health, and incidents Work with RL org leads on prioritizing, ranking, and tracking the state of experiments Drive research reviews end to end in partnership with set the agenda, make sure the right context is in the room ahead of time, and close the loop on what gets decided Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off decisions You May Be a Good Fit If You Have a background in ML engineering or ML research before transitioning to technical program management Have deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production Have a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent delivery Are excited about pushing the frontier of what RL can do at scale The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.