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Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native startups building in the physical world, across robotics, semiconductors, aerospace, manufacturing, and civil infrastructure, as they grow from early product to scale. Some of these companies build the hardware itself and want Claude woven into how they design, test, and operate it, and others build the software that engineers everywhere use to design, simulate, test, and scale, and this role works with both. You'll lead deep technical engagements, partnering directly with startup software and hardware engineering teams to help them build their products on Claude and run their own engineering with it, advising on implementation and agent design as they build what is newly possible with AI in the physical world. You will bridge the gap between what Claude can do and what it takes to build real things, working alongside some of the strongest teams in the field on problems that matter and helping mechanical, electrical, and process engineers get the kind of step change that software engineering has had from agentic coding with tools like Claude Code. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your engineering domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable physical AI startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential startups building in the physical world, whether Claude sits inside the product they sell or inside the way they design, test, and run their own hardware, working alongside them to push the boundaries of AI in engineering, manufacturing, operations, and more Work hands-on with startup software and hardware teams through pair programming and architecture reviews that accelerate their development, and understand their engineering workflows end to end, from design and simulation through test, production, and operations, so that your guidance fits how real hardware gets built Develop prototypes and technical documentation, including evaluation suites, benchmarks grounded in real engineering tasks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, for example integrating Claude with CAD, simulation, design tools, or industrial automation Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about applying AI to physical systems such as reading drawings, 3D geometry, board layout and routing, GD&T, latency and on-premise constraints, and physical safety, then build repeatable evaluations and solutions and contribute insights back to Product, Engineering, Research, and the broader Applied AI team Create technical content for startup audiences including documentation, tutorials, and sample code Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep engineering experience in a physical discipline such as mechanical, electrical, aerospace, robotics, semiconductor, manufacturing, or civil engineering, gained by designing, building, or operating real hardware, along with strong opinions of your own about how to bridge the gap between what AI can do today and how physical things get built 4+ years of technical experience as a software engineer, ML or research engineer, robotics or controls engineer, hardware or systems engineer, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real engineering work in design, simulation, test, or production Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both software and hardware engineering audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the range of a generalist who can context-switch from robots to chips to rockets to factories and get up to speed on a new domain quickly, and a passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of the industry, and others do the science themselves and want Claude woven into how their own research runs, and this role works with both. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build their products on Claude and run their own research with it, advising on implementation and agent design as they build what is newly possible with AI in the life sciences. You will bridge the gap between what Claude can do and what the life sciences need, working alongside some of the strongest teams in the field on problems that matter and pushing the boundaries of AI in science as you go. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your scientific domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable life sciences startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential life sciences and biotech startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development Work hands-on with startup engineering teams and their scientists through pair programming and architecture reviews that accelerate their development, and understand their scientific workflows end to end so that your guidance fits into real research pipelines Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about deploying AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work Create technical content for startup audiences including documentation, tutorials, and sample code Represent Anthropic across the life sciences startup ecosystem and foster community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep experience in the life sciences or biotech, gained through research or industry work in areas such as genomics, drug discovery, molecular design, lab automation, or clinical development, along with strong opinions of your own about how to bridge the gap between what AI can do today and what the life sciences need 4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real scientific work in the lab or in research Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both engineering and scientific audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the ability to context-switch across scientific domains and use cases, and a passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Business Risk & Insurance (BRI) team, part of Treasury, safeguards the company's balance sheet, people and physical assets. We are the financial and operational safety net for a company building some of the world's most advanced AI systems, from large-scale compute and data center infrastructure to our offices and the products we put in customers' hands. The team is scaling quickly as Anthropic grows. As a Risk & Insurance Specialist, you'll build operational excellence across contracts, claims, and day-to-day insurance operations, using AI and automation to streamline processes wherever you can. You'll work closely with Compute, Engineering, Finance, Legal, Security, Product and Payroll to spot emerging risks early, help structure global insurance programs, support our risk-financing strategy and drive loss prevention. This is a rare chance to insure one of the fastest-growing companies, where parts of the risk landscape are still being defined, and to help Anthropic pursue its mission boldly by keeping our operations resilient and protected. Key responsibilities Insurance review of contracts: Review insurance and indemnity requirements in customer, vendor, lease, and compute agreements, and advise Legal and business partners on compliant, practical positions. Insurance operations: Manage claims intake and tracking, certificates of insurance, broker coordination, and policy administration. Build a data warehouse / repository and repeatable processes as volume scales. Data gathering and reporting: Collect and maintain exposure data (property values, payroll, revenue, headcount, etc.) for renewals, audits, and underwriting submissions. Actuarial and quantitative analysis: Support limit-adequacy, loss, and retention analyses to inform program structure and decisions. Captive operations: Support captive formation and ongoing operations, including fronting and reinsurance coordination. Automation: Identify and implement ways to automate manual insurance workflows using AI and workflow tools. Cross-functional support: Partner with Compute, Finance, Legal, and Payroll on insurance questions across the business. Minimum qualifications Experience in insurance, corporate risk management, brokerage, underwriting, or risk consulting. Hands-on experience supporting a multi-line commercial insurance program (property, casualty, cyber/tech E&O, D&O/management liability, and similar). Preferred qualifications 8–12 years in insurance, corporate risk management, brokerage, underwriting, or risk consulting At least 4 years on the corporate (buyer) side, or in a broker or carrier role serving corporate clients Experience at, or insuring, a technology company or other fast-growing, complex organization Property insurance experience, including large or complex property, construction, or data center exposures Captive insurance experience (formation, management, fronting, or reinsurance) Experience insuring emerging technology risks, such as AI or technology liability and cyber Background at a major broker, carrier, or large technology company risk team Actuarial training or credentials, or experience with actuarial analysis Familiarity with insurance management systems, SQL or Python, or building workflow automation Experience building processes from scratch in an ambiguous, fast-moving environment The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 growing fast, and our SOX program needs to keep up. Many of the controls that matter for financial reporting run on engineering systems: who can access production and financial systems, how code changes are reviewed and deployed, and how usage is metered and billed. We’re hiring a Technical Program Manager to own the technology side of our SOX program. You'll work across engineering, security, GRC, Finance, and Internal Audit to design and run IT controls, drive gaps to closure, and make compliance lighter for engineering teams. You’ll also use Claude to automate evidence collection and control testing, so the program scales without more manual work. Responsibilities Own the technology side of the SOX program end-to-end, from planning and control design through evidence, testing, remediation, and year-end reporting Work with engineering teams to design and roll out IT general controls and IT application controls Work with engineering teams to build Claude-based workflows, tools, and dashboards to automate evidence collection, control testing, and monitoring that warns engineering teams about compliance issues before an audit finds them Lead large SOX projects, such as bringing new systems into scope, with clear success criteria, dependencies, and delivery dates Turn control requirements into concrete engineering work with clear scope, owners, and deadlines, and a design that fits how our teams already build and ship Build processes to evaluate new products, systems, and major engineering changes for SOX impact before they ship, so the right controls are in place from the start Build strong working relationships with engineering control owners, help them understand what their controls require, and support them in producing evidence for auditor requests Investigate control failures down to root cause, and drive engineering teams to fix them in time for the fix to be tested Help keep an up-to-date list of the systems, apps, and infrastructure in SOX scope, with an owner named for each control Track system migrations and scope changes, and make sure controls are updated as systems move Build metrics and dashboards on control health, open findings, and remediation progress Give regular updates on program status, risks, and remediation to technical leadership Keep improving the program: simplify control processes, remove manual steps, and raise the share of controls that run cleanly You may be a good fit if you Have 7+ years of experience in technical program management, IT audit, or technology compliance, with a focus on SOX and IT general controls Have run or supported a SOX program at a public or pre-IPO company Have used automation or AI tools to make compliance work faster and more reliable Know IT general controls and IT application controls in depth, including access management, change management, and application controls, and how they support financial reporting Have worked closely with external auditors Understand cloud infrastructure and engineering workflows, such as code review, CI/CD, and cloud access, well enough to work through a control design with an engineer Can explain technical risks and control gaps clearly to executives and other non-technical audiences Are comfortable driving outcomes across engineering, finance, and audit teams that don't report to you Strong candidates may also have A background in software, systems, or security engineering Hands-on experience building with Claude Code or other AI tools Experience with automated controls in revenue or order-to-cash systems, such as billing and usage metering Experience with financial systems such as ERP and billing platforms, and the controls around them Experience building or rebuilding a SOX program at a fast-growing company Familiarity with other security and IT frameworks, such as NIST or ISO 27001 The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Program Manager for Corporate Engineering, you will lead programs that build world-class business solutions enabling every Ant to do their best work. In partnership with Anthropic's IT & Security organization, you will drive end-to-end solutions across the company, delivering the right products, tools, platforms, and experiences for all Ants as they work to create a world for safe and powerful AI. In the simplest terms, you build and drive solutions to enable all of Anthropic to be more productive. You will use your technical and program management expertise to lead complex, multi-disciplinary programs from start to finish. You will work with stakeholders to plan requirements, identify risks, lead execution, and communicate clearly with cross-functional partners across the company. You are equally comfortable explaining your team's analyses and recommendations to leadership as you are discussing the technical tradeoffs in product development with engineers. This role owns the full spectrum of Corporate Engineering programs: the IT systems Ants depend on daily, first-party and third-party software platforms, endpoint devices, office infrastructure, AV and collaboration equipment, network infrastructure, and the programs that scale our physical office footprint as Anthropic grows. Responsibilities Partner across Corporate Engineering domains to drive alignment and delivery : Work with globally distributed product, engineering, and architecture teams to foster collaboration, help teams adopt enterprise standards, and enable faster delivery with consistent practices across the organization Define and maintain core architectural foundations : Assist in establishing and maintaining the architectural standards that underpin Corporate Engineering systems, ensuring scalability, reliability, and security as Anthropic grows Lead office deployment and scaling programs : Own end-to-end planning and execution for new office buildouts and expansions, coordinating across IT, Facilities, Security, and external vendors to deliver fully operational workspaces on schedule Own internal systems and infrastructure programs : Drive programs for all internal systems and hardware deployed in Anthropic buildings, including network infrastructure, AV equipment, printing and collaboration hardware, and building technology integrations Lead endpoint and device management programs : Own global programs for corporate laptops, mobile devices, and endpoint management, ensuring Ants have secure, well-managed devices that enable productivity from day one Drive IT Operations excellence : Lead programs that improve IT service delivery, support operations, and the overall Ant experience with technology, driving continuous improvement in reliability and responsiveness Manage enterprise software and platform programs : Lead programs for the 1P and 3P software platforms Ants depend on, including HR systems, productivity tools, and business applications, from evaluation through deployment and ongoing optimization Collaborate with cross-functional stakeholders : Work closely with Security, Facilities, People, Finance, and functional teams across Anthropic to ensure Corporate Engineering programs meet diverse organizational needs Communicate effectively at all levels : Comfortable communicating across all levels of Anthropic from presenting analyses, recommendations, and program status to leadership, engaging deeply on technical tradeoffs with engineering teams, and communicating broadly to the entire company You May Be a Good Fit If You Have 8+ years of experience in IT, Corporate Engineering, or Enterprise Technology, with at least 4+ years leading complex, cross-functional programs Technical background in enterprise IT systems, including endpoint management, identity and access management, network infrastructure, and SaaS platforms Experience leading office buildout or infrastructure deployment programs, coordinating across IT, Facilities, and external vendors Proven experience as a Technical Program Manager or similar role in a technology-focused environment, with a track record of leading company-wide programs to successful completion Strong communication skills with the ability to translate technical concepts for executive audiences and engage credibly with engineers on technical details Ability to manage ambiguity and drive clarity in fast-paced, evolving environments where requirements and priorities shift Strong collaboration skills with proven ability to partner across diverse stakeholders including IT, Security, Facilities, People, Finance, and functional teams Strong Candidates May Also Have Experience scaling IT infrastructure in high-growth technology companies Background in IT service management (ITSM) frameworks and continuous improvement methodologies Experience with enterprise software evaluation, procurement, and vendor management Familiarity with modern endpoint management platforms and zero-trust security architectures Experience with AV systems, video conferencing infrastructure, and collaboration technology deployments Prior technical experience as an IT engineer, systems administrator, or network engineer Experience with IT programs in AI/ML research environments or organizations with unique security and compliance requirements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate. We are looking for a Community Engagement Manager in Louisiana to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations. You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand. You will travel regularly within Louisiana, up to 50% of the time, and occasionally to other Anthropic data center markets. Key responsibilities Build and maintain trusted, sustained relationships with parish presidents and councils, police juries, mayors and municipal officials, parish planning and zoning bodies, port, levee, and drainage districts, state economic development agencies, community groups, civic leaders, educational institutions, and workforce partners in the Louisiana data center markets you cover Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate Represent Anthropic in public forums, town halls, planning hearings, community events, and local media Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced Work with the Communications team to develop proactive, locally relevant messaging Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use, including flood risk, storm resilience, and how large electricity needs are served by local utilities Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows Minimum qualifications Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field Direct experience working for or engaging with parish and municipal governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them Based in Louisiana or willing to relocate there, and prepared to travel regularly across the state Preferred qualifications 7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government Familiarity with land use, zoning, and permitting processes at the parish and municipal level, including local review of industrial tax incentives Experience in communities with a long industrial, energy, or port presence, and an understanding of coastal, flood, and hurricane resilience concerns Experience managing corporate social responsibility programs Established relationships with economic development, workforce, or civic organizations in the markets this role covers Experience working with real estate, legal, communications, and policy teams at the same time Experience engaging with Tribal nations in Louisiana, including familiarity with consultation processes and Tribal sovereignty A genuine interest in the communities where you work, not just the projects you are managing The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate. We are looking for a Community Engagement Manager in Virginia and West Virginia to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations. You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand. You will travel regularly within Virginia and West Virginia, up to 50% of the time, and occasionally to other Anthropic data center markets. Key responsibilities Build and maintain trusted, sustained relationships with Virginia boards of supervisors, city and town councils, and planning commissions, West Virginia county commissions and municipal officials, state economic development agencies, community groups, civic leaders, educational institutions, and workforce partners in the Virginia and West Virginia data center markets you cover Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate Represent Anthropic in public forums, town halls, planning hearings, community events, and local media Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement, including in markets where data center development is already well established and community questions about its cumulative effects are active Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced Work with the Communications team to develop proactive, locally relevant messaging Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, noise, transmission, and land use Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows Minimum qualifications Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field Direct experience working for or engaging with local governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them Based in Virginia or West Virginia or willing to relocate to one of them, and prepared to travel regularly across both states Preferred qualifications 7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government Familiarity with land use, zoning, and permitting processes at the county and municipal level, including rezoning and special use permit hearings in Virginia Experience with community concerns around data center siting, such as noise, transmission lines, water, and proximity to residential areas Experience managing corporate social responsibility programs Established relationships with economic development, workforce, or civic organizations in the markets this role covers, including in Appalachian and energy-transition communities Experience working with real estate, legal, communications, and policy teams at the same time A genuine interest in the communities where you work, not just the projects you are managing The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate. We are looking for a Community Engagement Manager in New York to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations. You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand. You will travel regularly across New York State, including upstate communities, up to 50% of the time, and occasionally to other Anthropic data center markets. Key responsibilities Build and maintain trusted, sustained relationships with town, village, city, and county elected officials and administrators, planning and zoning boards, local industrial development agencies, state agencies, economic development organizations, community groups, civic leaders, labor and building trades organizations, educational institutions, and workforce partners in the New York data center markets you cover Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate Represent Anthropic in public forums, town halls, planning hearings, community events, and local media Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced, including public comment and environmental review processes Work with the Communications team to develop proactive, locally relevant messaging Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use, including how New York's energy and climate policies and grid conditions shape our plans Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows Minimum qualifications Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field Direct experience working for or engaging with local governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them Based in New York or willing to relocate there, and prepared to travel regularly across the region Preferred qualifications 7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government Familiarity with land use, zoning, and permitting processes at the local and regional level in New York, including environmental review under the State Environmental Quality Review Act (SEQRA) and local incentive approvals through industrial development agencies Experience managing corporate social responsibility programs Established relationships with economic development, workforce, labor, or civic organizations in the markets this role covers Experience working with real estate, legal, communications, and policy teams at the same time Experience engaging with Native nations in New York, including familiarity with consultation processes and Tribal sovereignty A genuine interest in the communities where you work, not just the projects you are managing The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Brand Insights, Measurement Lead at Anthropic, you will strengthen the evidence that fuels our brand decisions: knowing whether marketing spend and effort is working, saying so clearly on a schedule to the people who need to hear it. Marketing Insights turns market, campaign and user data into decisions that product, marketing, comms and sales leadership can act on. You'll tell us, with data, whether awareness is turning into consideration, whether consideration is turning into pipeline, and where that chain breaks down for a given audience. This role sits at the intersection of human understanding, marketing science discipline and organizational influence. In this role, you'll own the team's recurring measurement readouts, including the Prosumer and B2B brand health tracker studies and the metrics, headwinds and tailwinds that show up in front of business leadership and in all-hands updates, keeping them accurate, current and easy to act on. You'll partner closely with your Marketing Insights teammates, Comms and data science on the brand-health dashboard, Brand & Integrated Marketing leadership, brand data science, research vendors, and cross-functional stakeholders across Enterprise Marketing, product marketing and finance. Responsibilities Own the recurring executive and all-hands readouts that put key metrics, headwinds and tailwinds in front of marketing management and the broader team Lead process ownership of the Prosumer and B2B brand health tracker studies, including managing the research vendor relationships that field them Lead coordination across Comms, Marketing and data science on the brand-health dashboard, aligning all three groups on one consistent view of the data Support media mix modeling, multi-touch attribution and incrementality analyses that inform how marketing budget and effort get allocated, moving the team past correlation to a defensible read on what's actually driving outcomes Run best-practice pre- and post-campaign analysis on individual campaigns, covering creative, channel, audience, and timing effects, and turn each read into a specific change for the next campaign Roll up campaign-level learnings into a recurring view for leadership: which channels, creative approaches, and audiences are outperforming over time, and where the team should adjust the playbook next Build audience and funnel analyses that quantify how different audiences move, and relate to each other, from awareness through consideration to conversion, and what that means for where to invest Audit how customer sentiment gets reported across the business and design a more efficient, consistent process Manage the underlying data pipelines so that recurring readouts stay reliable and don't get rebuilt from scratch each cycle Partner with Marketing Insights teammates to keep measurement process and research design in sync, including feeding into the Marketing Business Review scorecard process Develop one defensible view from first-party behavioral data, campaign and media data, and survey or attitudinal research, being clear about what each source can and can't tell you on its own Present findings to non-technical audiences, including marketing leadership, enterprise sales and finance partners, translating hedged results into clear recommendations You may be a good fit if you Have a strategic orientation, strong curiosity for understanding what customers and users think and how to shift perceptions, and can use that to influence business and marketing direction Are fluent in SQL and Python or R, and move comfortably between a quick exploratory pull and a more rigorous statistical model Have designed or analyzed experiments (A/B tests, holdouts, lift tests) to establish a causal effect rather than settle for a correlation, and have applied regression, segmentation or other causal-inference methods to a real business question Have run campaign-level measurement end to end, from a pre/post read on a single campaign to synthesizing learnings across multiple campaigns into a change the team acts on next time Have built and maintained a recurring metrics report or dashboard that executives or cross-functional partners actually rely on, and kept it trustworthy over time Can turn a hedged, caveated finding into a clear recommendation a non-technical stakeholder can act on, and know which caveat matters enough to keep in the headline Start an analysis by pinning down the business question and the decision it needs to serve, not the method that's most interesting to run Can reconcile data with no universal taxonomy across first-party, third-party, real-time and survey sources Know when a directionally correct answer now beats a more rigorous one that arrives too late to matter Work well across functions, building credibility with both technical partners and non-technical leadership Are excited about Anthropic's mission to develop AI that is safe and beneficial Strong candidates may also have Experience with media mix modeling, multi-touch attribution or incrementality and lift testing specifically, rather than general-purpose analytics Experience advising marketing stakeholders on experimental design for live campaigns (email, paid social), or measuring marketing performance across multiple markets Familiarity with survey-based quantitative research (MaxDiff, conjoint, brand and sentiment tracking) alongside behavioral and usage data Experience with a modern data warehouse (Snowflake, BigQuery) and a BI tool (Tableau, Looker, Power BI) Prior experience in marketing, growth or brand analytics specifically, rather than data science in a general or product context A graduate degree in statistics, economics or another quantitative field A career trajectory spanning BI and dashboarding, applied causal inference and experimental design, and multi-market marketing measurement The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New Jersey; New York; Pennsylvania; Connecticut; Massachusetts Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. Requirements: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What We Offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. No Visa sponsorship We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is a data company, and data is our most valuable asset. The Data, Analytics & AI (DAA) organization turns WHOOP data into trusted intelligence that sharpens every team's decisions. As the data and AI ecosystem grows, making that data trustworthy and safe by default has become a strategic capability, so every product built on it can be relied on. We are seeking a Director, Data Governance to lead the function as a new pillar within the DAA organization. You will report to our VP of Data, Analytics and AI Acceleration. As the first dedicated leader of this function, you will define the strategy, operating model, and roadmap for data ownership, contracts, event taxonomy, cataloging, access policy, data quality standards, and privacy and compliance. Governance sets the policy and standards; the Data Platform & Engineering pillar engineers and implements them, so this role leads through influence, clear standards, and strong cross-functional partnership. WHOOP operates a mature data platform. This role builds the governance layer on top of it: formal ownership models, data contracts, an event taxonomy, cataloging and discovery, classification frameworks, and the policies that let the company scale into regulated environments without slowing down. You will build and lead a team and champion intelligent, AI powered approaches to continuously monitor the health and trust of our data. You should be equally comfortable setting strategy and rolling up your sleeves, and as effective presenting a data classification framework to senior leadership as you are working through a data quality standard with an engineer. Working across Data Platform & Engineering, Analytics, Data Science, Product, GRC, Legal, InfoSec, and RAD, you will earn trust across technical and business teams, drive adoption, and ship enforceable governance outcomes. RESPONSIBILITIES - Define and lead the data governance strategy, operating model, and roadmap spanning data ownership, contracts, event taxonomy, cataloging, access policy, data quality standards, and privacy and compliance (HIPAA, GDPR, CCPA), aligned with the DAA strategy. - Build, lead, and coach a small, senior team, developing your people while partnering closely with Staff level technical leaders across the org. - Establish a formal data ownership model, partnering with engineering and business stakeholders to assign stewardship and accountability for critical datasets. - Define the standards for data contracts between producing and consuming teams, covering schema stability, SLA adherence, and breaking-change management, with implementation owned by Data Platform & Engineering. - Own the event taxonomy governance framework, bringing structure to event tracking and standardizing how product and engineering teams define, name, and instrument events across platforms. - Set data quality standards (freshness, validation, monitoring) and the incident response expectations, partnering with Platform to operationalize automated testing and anomaly detection. - Champion AI powered governance approaches that proactively surface quality issues, ownership gaps, policy violations, and compliance risks. - Partner with GRC, Legal, and InfoSec to define the privacy, HIPAA, and compliance standards for how sensitive data is handled, which the platform then implements. - Define role-based access policy across the data platform, balancing security with self-service accessibility, with enforcement engineered by Platform. - Embed governance standards directly into engineering and developer workflows so the right way is the easy way, rather than relying on manual processes. - Develop governance metrics and reporting to track adoption, compliance, and data health across the organization. - Build a culture where trusted data is a shared responsibility across technical and business functions. QUALIFICATIONS - 10+ years in data, engineering, or data governance roles, with a strong background in data governance, data quality, data engineering, or data platform. - 4+ years of experience leading and building teams. - Direct experience building data governance programs or frameworks, ideally in a high-growth environment where governance was not yet formalized. - Hands-on experience with modern data stack tooling: Snowflake, dbt, Airflow/orchestration, and data catalog/lineage tools. - Working knowledge of healthcare data regulations (HIPAA), or willingness to develop deep expertise quickly given the WHOOP expansion into regulated healthcare products. - Experience implementing data quality frameworks with automated monitoring and alerting. - Experience with access control design and administration in cloud data platforms (Snowflake RBAC, row-level security, dynamic data masking). - Ability to drive cross-functional alignment on data standards and policies, and to lead highly cross-functional initiatives. Comfortable influencing engineering, product, and business teams. - Experience operating in regulated environments. - Proven track record managing data oversight for complex research initiatives, such as IRB-regulated studies or trials or regulatory filings for the FDA. - Excellent executive communication and organizational leadership. Able to translate technical governance concepts into business value for non-technical stakeholders and senior leadership. - A player-coach orientation. Willing to be deeply hands-on while building repeatable processes and growing a team. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. *This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $190,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Mexico POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($2 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast. The Impact You’ll Make Everyone in our Mexico City office relies on IT to get their work done. As our IT Support Engineer , you'll be the main onsite contact for escalated (Level 2) issues, handling the more complex problems across identity, laptops and devices, Microsoft 365, collaboration tools, networking, and office technology. Day-to-day support is only part of the role. You'll also work on automation and process-improvement projects that make onboarding, access requests, asset tracking, and ticket routing faster and more reliable. The goal is simple: fix issues when they come up, and improve our processes so they happen less often. What You’ll Own & Drive Level 2 onsite support — Handle escalated and more complex issues for the CDMX office, across identity, devices, Microsoft 365, collaboration tools, and the office network. Automation and process improvement — Work on projects that automate onboarding and offboarding, access requests, asset tracking, and ticket routing, so there's less manual work and a better experience for employees. Okta — Manage user accounts, groups, app assignments, and access policies. Device management — Manage Mac and Windows devices in Iru (Kandji) and Intune, including enrollment, configuration profiles, compliance policies, and app deployment. Microsoft 365 and Exchange — Manage licenses, mailboxes, shared mailboxes, distribution groups, and mail flow, and troubleshoot tenant-level issues. Ticketing — Set up and maintain ticket workflows, queues, SLAs, and the request catalog so requests reach the right person and get resolved on time. Asset inventory — Keep an accurate, automated record of hardware, software, and licenses, from purchase through reassignment, wipe, and retirement. Meeting rooms and office technology — Set up and troubleshoot Zoom Rooms, video conferencing, and AV equipment. Support the office network (Meraki access points, switches, and security appliances) and Wi-Fi. Work with Security, Facilities, and outside providers on access control and CCTV. Local vendors — Find vendors, get quotes, negotiate, create purchase orders, and check invoices and billing. Documentation and mentoring — Write procedures, runbooks, and help articles, and set guidelines for user administration and security. Support office events and important business activities, and help train Level 1–2 support staff. The Qualities That Set You Apart You follow through — You stay with an issue until you find the root cause and it's properly fixed. You look for ways to automate — If a task keeps coming up, you find a way to stop doing it by hand. You stay calm under pressure — Outages, important meetings, or busy office days don't throw you off. You care about the people you support — A good experience for employees matters to you as much as the fix itself. You communicate clearly — You can explain technical issues in simple terms, in English and Spanish, and you write documentation others can follow. You improve how the team works — You leave behind processes, runbooks, and guidelines that make the team better. Your Background 5+ years in IT Support, IT Operations, or related roles, including Level 2–3 support — and the ability to work onsite from our Mexico City office . Okta administration — hands-on SSO, MFA, lifecycle management, groups, and policies. MDM — solid experience with Iru (Kandji) and Microsoft Intune for macOS and Windows. Microsoft 365 & Exchange Online — administration and troubleshooting of mail flow, licensing, and security/compliance settings. Ticketing & service management — experience working with ticketing systems and designing or improving flows, queues, and service workflows. Office technology & networking — Zoom Rooms and video-conferencing, basic Meraki networking, access control systems, and CCTV. Vendor management — billing, invoice validation, and contract management. Tools — proficiency with Slack, Zoom, Notion, macOS, and Windows. Language — fluent English (spoken and written) and Spanish. Nice to have: Basic-to-medium knowledge of AWS . Experience with no-code/low-code automation tools such as Tines , n8n , or similar. Scripting experience ( PowerShell , Bash , or Python ) to automate administrative tasks. ITIL knowledge or certification and familiarity with ITSM best practices. Experience with IT asset management tools and automated inventory processes. Basic-to-medium knowledge of Zscaler . Why Incode? Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically. Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy – Operate like a founder with the resources of a unicorn. Global Impact – Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Company Profile: Our client provides high quality professional and personalized tax preparation, accounting, and bookkeeping services for individuals, businesses, and non-profits at reasonable rates. The company is a fast-growing medium-sized accounting firm serving clients throughout the United States, with a Philippines-based accounting team of nearly 30 professionals that continues to expand. Overall purpose and responsibilities of the role: The Director, US Tax & Accounting will be responsible for preparing and reviewing standard US tax returns, including individual (1040), partnership (1065), S-Corporation (1120-S), and C-Corporation (1120) returns. The role also involves managing client relationships, providing tax compliance support, using QuickBooks for accounting-related tasks, and training junior staff. Experience with estate tax (1041), nonprofit tax (990), and employee benefit plan returns (5500) is an advantage but not required. Duties & Responsibilities: - Provides review, management, and thorough final detail review of tax returns for individuals, partnerships, and corporations. - Prepares tax returns when not reviewing or managing returns. - Provides tax projections, planning, and handles tax notices. - Manages professional accounting and bookkeeping services primarily using QuickBooks. - Provides light oversight of bookkeeping and QuickBooks-related activities. - Serves as a firm Tax Partner and primary point of contact. - Manages client relationships and support staff. - Acts as a trusted year-round advisor to clients. - Helps streamline operations and trains staff. - Mentors and upskills junior team members. - Provides leadership with broader strategic responsibilities developing over time. - Advises business owners on tax compliance and financial matters. - Tracks deliverables and identifies advisory opportunities. - Supports development of overseas-based client-facing leadership. Critical Skills & Experience: - Bachelor’s degree in Accounting or advanced degree preferred. - Minimum 5 years of US tax experience. - Hands-on experience preparing and reviewing Forms 1040, 1065, 1120, and 1120S. - Strong working knowledge of QuickBooks Online and Desktop. - Comfortable managing client relationships and providing advisory guidance. - Ability to advise on LLC vs partnership structuring and entity location decisions. - Must work US Eastern-aligned hours. - Proficient in Microsoft Office. - Familiarity with UltraTax and Onvio preferred. Ideal Candidate Profile: - Mid- to senior-level US tax professional, preferably with 15–20+ years experience. - Entrepreneurial, adaptable, growth-oriented. - Interested in long-term commitment and leadership growth. Nice-to-Haves: - Experience in fund accounting, private equity, or hedge fund taxation. - Background in Big Four or large accounting firms. - Experience managing client relationships and mentoring teams. - CPA designation strongly preferred. Job type: Permanent Employment type: Full-time Schedule: Monday to Friday, flexible start times (preferred 8:00 AM–4:00 PM EST, earlier starts allowed) Location: Work From Home Industry: Accounting/Financial

Un(e) Développeur(-euse) Expérience IA est responsable du cycle de vie complet des parcours que nos clients vivent avec l'agent IA d'Upgrade par clavardage, par téléphone et par courriel : création, optimisation, gestion des cas particuliers et augmentation du taux de résolution autonome. Création de parcours :

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 Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add. We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas: Scaling and infrastructure. Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online. Velocity. The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform. Inference engine. The software between the accelerator kernels and the routing layer that serves every request. Performance. Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance. This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like. Key responsibilities Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery. Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path. Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision. Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps. Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org. Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams. Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion. Own inference readiness for model launches alongside our launch TPMs. Minimum qualifications 7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it. Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking. A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly. A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep. The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers. Strong written communication, including plans, reviews, and executive updates that many teams depend on. Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit. Care about Anthropic's mission and about serving frontier AI safely and reliably. Preferred qualifications Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing. Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform. Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services. Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity. Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work. Familiarity with Kubernetes-based orchestration and job scheduling. Experience working with research teams and turning their needs into infrastructure requirements. Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't. 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: San Francisco, CA 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 a Director, Infrastructure Lease Accounting to lead technical accounting for our most complex infrastructure and energy arrangements — the data center leases and related structures underpinning our recently significant investment in American computing infrastructure. As we continue our rapid growth, you will ensure the financial statement accuracy of the most technically complex contracts we enter into. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic accounts for the highest-stakes arrangements underpinning our compute and energy portfolio. You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), and counterparty or joint-venture structures (ASC 810 VIE analysis). You'll work closely with Real Estate, Legal, Finance, and external auditors to ensure accounting implications are understood before commitments are made. Responsibilities Serve as the technical accounting subject matter expert for Anthropic's most complex infrastructure arrangements, leading classification, measurement, and subsequent accounting judgments Apply ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts Apply ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities Apply ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives Lead technical accounting analysis and memo preparation for new arrangements, ensuring positions are well-reasoned, supported, and auditor-ready Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Serve as a key point of contact with external auditors on technical accounting matters within your portfolio Mentor accounting professionals across the Infrastructure Accounting team on technical accounting matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of technical accounting work Minimum qualifications Have 12+ years of progressive experience in accounting, with meaningful time in a technical accounting role Hold a Bachelor's degree in Accounting or Finance; CPA required Possess strong technical accounting knowledge of ASC 842 (leases), ASC 810 (consolidation, including VIE analysis), and ASC 815 (derivatives and hedging), applied to real arrangements Have a track record of authoring and defending technical accounting memos on complex, judgment-intensive arrangements Demonstrate strong analytical abilities and comfort working with large, complex contracts and datasets Have a track record of improving scalable technical accounting processes in fast-moving environments Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners — Real Estate, Legal, Finance, and Procurement Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred qualifications Background in a Big 4 technical accounting practice (SEC reporting / technical consultation) combined with industry experience Experience at hyperscalers, utilities, or energy companies with meaningful PPA, REC, or commodity-arrangement exposure Experience with renewable energy contracts, carbon markets, or related clean-energy accounting frameworks Exposure to data center and compute-related infrastructure arrangements (including colocation, dark fiber IRUs, and equipment leases) Experience with lease accounting software and derivative / hedge accounting systems at scale SQL proficiency for querying and analyzing large contract and accounting datasets Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to technical accounting research, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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: Aberdeen, United Kingdom W e are? A leading specialist engineering services company delivering integrated solutions for complex energy and infrastructure projects and operating assets. Our business is built on the belief that our people are what make EnerMech excellent. When we are thriving globally it's not just about investing in our infrastructure, service offering and technology, but by also investing in our people. The role? Due to continued growth a new role has arisen for a Project Engineer to join our Process & Industrial Services team here at EnerMech in Aberdeen. This is a staff onshore office based role. This role will be responsible for providing the day-to-day support to the client for the delivery of the contract and liaising with EnerMech field crew on a daily basis regarding maintenance/operations. The role will also involve attending client planning meetings to ensure mobilisation readiness and date compliance. You will also be asked to provide first line technical support for the work being carried out offshore. You are? To be successful for this role you will have demonstrable operational experience supporting client organisations with excellent safety behaviours and have a focus on customer satisfaction. You will have demonstratable experience within Process Services which will include but not be limited to; Nitrogen Pumping, Flange Management, Bolting, Leak Testing and Purging. You will hold strong commercial awareness with good technical awareness. Diversity & Inclusion At EnerMech we want to create a diverse and inclusive organisation and grow together to make a vibrant business. We are not there yet, but the desire is steadfast, so please consider a career with us in an organisation where differences in background, culture, education, working style and less obvious differences are respected and celebrated. Company benefits Generous holiday entitlement Pension scheme Private health cover Various staff discount schemes Canteen on site Employee referral scheme

Location: Yerevan, Armenia We are looking for a dynamic, high-performing and experienced English and Turkish speaking Account Manager to join our team. If you are customer-oriented with a ‘can do’ attitude, proactive and passionate about our company products, this position is for you. Our ideal candidate has a drive for achieving goals and maintaining a great customer experience. You should be resourceful, analytical, adaptable, and organized with the ability to build rapport with clients. You will act as a main point of contact for our partners with a key focus on account growth, partner satisfaction and prioritization of partners’ needs at a high standard. You will maintain and strengthen long-term, trusting and mutually beneficial relationships with our partners, connect with key business executives and stakeholders, identify and develop new business opportunities. Ultimately, you should collaborate with our sales team to achieve quotas while keeping our partners satisfied & engaged with our products and services in the long run. Responsibilities: • Build, develop & maintain strong, long-lasting and trusted advisor relationships with our partners, stakeholders & sponsors • Act as a primary point of reference and business consultant for assigned partners through email, phone, online presentations and in person meetings • Communicate with partners at a senior level to resolve issues and inquiries • Adhere to the highest professional standards while managing partners’ projects • Collaborate with the Sales team to onboard and integrate new partners, develop existing relationships • Focus on ensuring we maintain superior customer service levels, operational excellence and strategic insight • Manage projects within client relationships, carry out client goals while meeting company goals • Drive client retention, renewals, upsells and client satisfaction • Identify and develop new businesses, existing business growth opportunities with our partners and/or identify areas of improvement • Manage partner’s challenging requests and/or issues escalation to appropriate departments • Actively communicate with relevant departments, ensure the timely and successful delivery of solutions according to partners’  needs and objectives • Resolve complaints and prevent additional issues by improving processes • Monitor and analyze customer’s usage of our product • Collect and analyze data to learn more about partners’ behavior • Forecasts and tracks client account metrics • Feeding back all suggestions for improvement and market research to senior staff • Stay up-to-date with company products and services, identify industry trends • Provide input on new processes and workflows as needed • Update knowledge by participating in educational opportunities, reading professional publications, maintaining personal networks, participating in professional organizations Requirements: • At least 2+ years of proven account management, sales, or business development experience in the industry • Advanced knowledge of Armenian language & excellent knowledge of Turkish/English languages (Russian will be a plus) • Demonstrated ability to communicate, present and influence effectively at all levels of the organization • Experience in delivering client-focused solutions based on customer needs • Proven ability to manage multiple projects at a time while paying strict attention to details • Excellent listening, negotiation and presentation skills • Excellent verbal and written communications skills • Self-motivated individual with the ability to thrive in a results-driven environment • Ability to work under high pressure & Ability to prioritize among competing tasks • Natural relationship builder with integrity, reliability and maturity • Critical thinking and problem-solving skills • Excellent time and project management skills