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Location: London, United Kingdom Workplace: hybrid About InvestEngine InvestEngine is everything the modern investor should need. Unbeatable value, market-leading automation, and built for easy, long-term investing. We’ve built a strong foundation, have over £2 billion invested, award-winning service, and a passionate team, now we’re ready to scale. Role Overview As an Analyst, you will play a key role within the Analytics team, initially focused on data governance and compliance — spanning topics such as Consumer Duty, CASS, KYC/AML and data protection — with the expectation of broadening into general analytics support across the business over time. You will work closely with stakeholders across Compliance, Risk, Operations, Product and Commercial to translate governance and regulatory requirements into clear, well-documented data controls, reports and dashboards — using a modern, automated tech stack. This role is best suited to an analytically minded person with an engineering mindset: someone who instinctively looks to automate and simplify rather than accept a manual, spreadsheet-driven process, and who is confident proposing new ways of working, new team structures, or new technology when the current approach isn't fit for purpose. You should be comfortable with ambiguity in a growing analytics function, and want to work in a modern, automation- and AI-enabled way rather than through manual, ad hoc reporting. Key Responsibilities Governance & Compliance Support the design and rollout of a data governance framework: data ownership, definitions, lineage and retention policies. Partner with Compliance, Risk and Legal stakeholders to translate regulatory requirements (e.g. Consumer Duty, CASS, KYC/AML, GDPR) into concrete data controls, monitoring and reporting. Maintain and evolve the analytics glossary, data catalogue and semantic layer so compliance-related metrics are clearly defined, consistent and auditable. Support internal and external audit requests with well-documented, reproducible analysis. Modern Analytics & Automation Build and maintain data transformations and models using SQL and dbt, following version-controlled, tested and documented practices. Automate recurring reports, reconciliations and alerts to reduce manual effort and strengthen controls. Use AI-enabled tools (e.g. Claude, Copilot) responsibly to accelerate analysis, coding, QA and documentation, within agreed data-handling and compliance guardrails. Contribute to modern software-engineering practices for analytics: version control (git), peer review of dbt models/queries, and lightweight CI/CD where relevant. Ways of Working & Continuous Improvement Default to automating and simplifying: question manual, spreadsheet-driven or one-off processes rather than just repeating them. Propose new tools, architectures, or ways of working where the current setup is holding the team back — this role is expected to shape the analytics function's approach, not just operate within it. Bring an engineering-influenced approach to analytics work: reusable, testable, version-controlled, rather than one-off scripts or manual spreadsheets. Reporting & Dashboards Build and maintain dashboards and reports using modern BI tools. Ensure metrics are correctly defined, documented, and consistent with the data catalogue and semantic layer. As the role broadens, support wider analytics team with ad hoc analysis outside governance and compliance. Data Quality & Documentation Work with the Chief Data Officer to ensure data accuracy, reconciliation and quality. Contribute to data documentation, definitions and the analytics glossary. Raise data quality issues and support root-cause analysis. Stakeholder Collaboration Work closely with business and compliance stakeholders to understand requirements and analytical needs. Clearly communicate insights and findings in a structured, accessible way. Support decision-making by translating complex analysis and regulatory detail into clear narratives. Requirements & Skills Experience in a Data Analyst, Business Analyst, Compliance Analyst or similar role. Strong SQL skills; hands-on experience with dbt, or a strong aptitude and willingness to learn modern transformation tooling quickly. Familiarity with data governance and one or more relevant regulatory/compliance topics (e.g. Consumer Duty, CASS, KYC/AML, GDPR, Market Abuse Regulation, data retention) is desirable. An engineering mindset — a demonstrated habit of automating, simplifying, or redesigning a manual process rather than living with it, even where that means suggesting a new tool or way of working. Experience or strong interest in using AI tools to enhance analytical workflows — e.g. AI-assisted coding, prompt engineering, automation of repetitive tasks. Comfortable with version control (git) and other modern, engineering-influenced ways of working. Experience with modern BI tools (e.g. Metabase, Lightdash, Omni, Looker). Strong analytical thinking and problem-solving ability. Clear written and verbal communication skills, including with non-technical, compliance-focused stakeholders. Confidence to challenge the status quo and propose alternatives, backed by data and sound reasoning. Experience in fintech or financial services is desirable but not essential. What Success Looks Like A trusted, well-documented and automated data governance reporting suite covering the business's key data domains, including Consumer Duty, CASS and KYC/AML. The use of a modern, automated reporting stack (SQL/dbt) to replace manual, ad hoc processes. At least one meaningful new way of working, tool, or structural change proposed and adopted by the team. Effective, appropriate use of AI tools to speed up delivery without compromising data governance. Strong stakeholder relationships and increasing autonomy as the role broadens beyond governance and compliance. Our Hiring Process Introductory call with our Talent team Gamified cognitive assessment to understand how you think and problem-solve Competency interview focused on your experience in operational risk and controls (may include a short task or case study) Senior leadership interview to explore alignment with our culture, values, and strategic direction

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 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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, governments, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. About the Role: We're looking for a Partnerships Manager to help extend Anthropic's health work into US public health. Building on our existing global health portfolio, you'll help shape how we engage the US public health system and manage a set of partnerships across federal, state, and local levels. Because this is an emerging area for the team, the role blends partnership management with meaningful contribution to strategy. The right person combines credibility in the US public health ecosystem, enough technical fluency to be a real thought partner on AI deployment, and comfort operating in a space that's still taking shape. This role is distinct from our Account Executive function: while AEs drive scaled adoption of Anthropic's core products, Partnership Managers build deep partnerships that require custom deployments, research collaboration, and hands-on program design. You'll work with a smaller portfolio of flagship partners where the goal is driving impact metrics and creating learnings that benefit the broader ecosystem. Responsibilities: Contribute to Anthropic's US public health strategy, working closely with the team lead to identify priority partners and use cases and bringing field insights back to inform our broader health work Own a portfolio of flagship deployments, coordinating with Applied AI, product, policy, and GTM teams to deliver impact Source, evaluate, and onboard new partners; structure engagements that work within government procurement, data governance, and privacy constraints Translate partner needs into deployment plans that account for legacy systems and workforce realities Support the creation of shared resources and digital public goods that help the broader field use AI responsibly Build the evidence base by partnering with academic and evaluation organizations to study what works Represent Anthropic at public health convenings and with funders and policymakers Help shape team processes as we grow this area; hand off opportunities better suited to scaled sales or public sector motions Travel to partner sites and to SF headquarters every ~6 weeks for those based outside SF (~20% travel) You Might Be a Good Fit If You Have: 10+ years of experience in US public health, health policy, or public sector health innovation 5+ years managing external partnerships, multi-stakeholder initiatives, or programs that span government and civil society Deep relationships and credibility in the US public health ecosystem — you know the key players at CDC, state health departments, major schools of public health, and the foundations that fund this work A working understanding of how federal, state, and local public health agencies operate, fund programs, and adopt new technology Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams Experience building programs or portfolios in early-stage environments where the playbook is still being written High agency and comfort with ambiguity; you thrive when the playbook doesn't exist yet A genuine drive to strengthen the public health system and the communities it serves An MPH or related credential Strong Candidates May Also Have: Experience inside a federal or state health agency (CDC, HHS, a state DOH) or at an organization that works closely with them Background in epidemiology, ideally with hands-on surveillance experience at a state, local, or federal health agency Experience working in a global context Experience at a healthtech company, AI organization, or in a product-adjacent role The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $215,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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 Strategic Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you: 7-10+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML based safety systems. We collaborate closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production. We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch. And we build for scale: serving thousands of ML classifiers, for all requests on the token generation path, and for every platform Claude runs on -- 1P, Bedrock, Vertex, and beyond. We’re growing the team and looking for engineers who have deep expertise in productionizing ML systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. And your tooling and infrastructure will be used for every model launch, which are becoming more complex, and more frequent. Responsibilities: Design and build scalable ML infrastructure to support real-time safety deployments across our classifier and model ecosystem Build monitoring and observability tools to track classifier performance, data quality, and system health for safety-critical applications Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards Implement automated testing, deployment, and rollback systems for ML models in production safety applications Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs Contribute to the development of internal tools and frameworks that accelerate safety research and deployment You may be a good fit if you: Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads Have built automated or self-service deployment pipelines and eval infrastructure allowing researchers to roll out classifiers and models independently Have implemented A/B testing frameworks and experimentation infrastructure for ML systems Are results-oriented, with a bias towards reliability and impact in safety-critical systems Enjoy collaborating with researchers and translating cutting-edge research into production systems Care deeply about AI safety and the societal impacts of your work Strong candidates may also have experience with: Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment Working with large language models and modern transformer architectures Developing monitoring and alerting systems for ML model performance and data drift Experience in trust & safety, fraud prevention, or content moderation domains Knowledge of privacy-preserving ML techniques 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Safeguards ML Sampling Path team builds and operates the production services that power Claude's safety systems. These services sit on the token generation path across every platform Claude runs on: every request must pass through them, and each millisecond of added latency is wait time for our users. You’ll keep p99 latency flat as traffic grows, build for robustness as dependencies time out or partially fail, and ship changes safely to a system that cannot go down. What you'll do: Design, build, and operate the backend systems that process every token on the generation path for Claude requests, including the streaming contract with the API and inference engines. Own latency and reliability end to end: define and maintain SLOs and error budgets for added latency, time-to-first-token, and availability, and lead incident response and postmortem follow-through. Ship changes to the hot path rapidly but safely — canaried and gradual rollouts, error budget and latency gating, fast rollbacks — and drive per-token performance: chase tail latency and keep cost flat as traffic, models, and checks per request grow. Set technical direction for the sampling path: lead design reviews, make latency, reliability, and cost trade-off calls with the inference and research teams, mentor engineers, and raise the operational bar for the wider Safeguards organization. You may be a good fit if you: Have designed, built, and operated high QPS systems at global scale, and were accountable for them in production: incident response, outages, and postmortem-driven remediation. Have a strong foundation in distributed systems: replication, consistency tradeoffs, failure modes, and SLO management under load. Design systems for graceful degradation: you plan for a slow dependency, a dropped stream, or a half-rolled-out deploy before it happens, and build so the system degrades predictably instead of failing. Have successfully shipped broad or all-encompassing changes to mission critical systems (e.g., database migrations, interface changes, rewrites). Strong candidates may also have: 8+ years of industry software engineering experience. Familiarity with LLM inference systems and transformer-based models (not required, but a plus). The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

We are seeking an elite, hands-on Senior Security Compliance Consultant (SOC 2 & GRC Specialist) to lead a critical, company-wide SOC 2 Type II audit readiness initiative. In this strategic engagement, you will perform comprehensive gap analyses, assess existing security controls, design robust compliance workflows, and drive cross-functional teams toward audit completion. The ideal candidate brings a proven track record in GRC frameworks, control mapping, evidence automation, and policy development. Utilizing automated compliance platforms such as Sprinto, you will build repeatable compliance processes, validate technical controls, and ensure a seamless audit experience across the entire organization. General Information (About the Client): Our client is a fast-scaling, cloud-native technology platform committed to maintaining enterprise-grade trust, security, and data privacy. To support their rapid commercial growth and enterprise sales pipeline, they are establishing a formal, highly disciplined security governance model. They operate a modern, cloud-first environment where compliance is treated not as a passive checklist, but as an active, automated operational advantage. By leveraging modern GRC platforms and fostering a security-conscious culture, they provide an empowering environment for compliance experts to drive real architectural and procedural improvements. Tasks and Deliverables: SOC 2 Readiness & Gap Analysis: Conduct a thorough assessment of existing technical and operational security controls, pinpointing compliance gaps and building an actionable remediation roadmap. Control Design & Implementation: Author, refine, and operationalize security controls, policies, and procedures aligned with SOC 2 Trust Services Criteria (TSC) and PCI DSS standards. Automated Evidence Collection: Lead evidence-gathering workflows using automated GRC tooling (Sprinto), ensuring all technical artifacts, access logs, and policy attestations are validated and audit-ready. PCI DSS Guidance: Provide expert advisory on maintaining PCI DSS alignment alongside SOC 2, ensuring overlapping control requirements are mapped efficiently to reduce operational drag. Cross-Functional Coordination: Collaborate with engineering, DevOps, HR, and IT teams to embed compliance workflows into daily operations without slowing down feature execution. Auditor Interface & Readiness: Serve as the primary liaison during the audit preparation phase, coordinating directly with external auditors to present evidence, resolve findings, and ensure a successful audit cycle. Required Experience: SOC 2 Mastery: Proven track record of leading end-to-end SOC 2 readiness, gap remediation, and audit preparation initiatives for cloud-native or B2B SaaS companies. GRC & PCI DSS Acumen: Deep familiarity with Governance, Risk, and Compliance (GRC) frameworks, risk assessment methodologies, and PCI DSS compliance requirements. Tooling Proficiency (Sprinto): Direct, practical experience leveraging automated compliance and evidence-collection platforms, specifically Sprinto (or equivalent modern platforms like Vanta/Drata). Policy & Control Mapping: Exceptional capability to author clear, enforceable security policies and translate abstract regulatory requirements into concrete engineering controls. Cross-Functional Facilitation: Strong stakeholder management skills with a history of driving accountability across distributed engineering, product, and operations teams.

Location: Amphoe Mueang Chiang Mai, Thailand Workplace: none The Senior Software Development Team Coordinator (Thailand) is the operational right hand of the Thailand Team Leader within the Sitebuilders Chiang Mai team. This role supports the Team Leader to operate at a strategic and technical level — by owning the people rhythm and day-to-day operational layer of the Thailand hub. The Software Development Team Coordinator reports directly to the Thailand Team Leader and works in close partnership to ensure strong team operations, delivery consistency, and people development across the Thailand hub. This role is not intended to act as a buffer between the Team Leader and the team, but rather as a strong operational partner who increases the effectiveness of both. Success in this role is measured by the health and performance of the team, as well as by the Team Leader’s ability to focus on high-impact strategic and technical responsibilities. Responsibilities People Leadership & Team Development • Serve as the primary people manager for Thailand-based engineers — owning regular 1:1s, feedback cycles, and individual development plans in close coordination with the Team Leader. • Monitor team morale, identify and report risks early, and address interpersonal issues with discretion before they escalate to the Team Leader. • Support engineers' career progression by identifying growth opportunities and skill gaps, aligned with the Team Leader and UXM Architect’s technical direction. • Lead onboarding coordination for new Thailand-based hires, ensuring a smooth transition into the team's ways of working. • Build and reinforce a team culture of ownership, initiative, and continuous improvement — consistent with the Team Leader's vision for the team. Delivery & Operational Coordination • Track Kanban progress across the Thailand team, ensuring blockers are surfaced and resolved without pulling the Team Leader away from technical priorities. • Manage day-to-day task allocation and priority adjustments in fast-switching delivery cycles within a Kanban system. • Compile and deliver structured monthly reports to upper management layers detailing overall team status, KPI metrics, operational delivery risks, and sensitive people or performance issues. Every identified issue, bottleneck, or risk must be accompanied by a concrete, actionable remediation plan to improve and resolve the situation dynamically. • Oversee accurate time logging and estimation integrity across the team (including for the Deputy role itself). Technical Contribution & Stability Support • Assist the Front-End Team Leader in identifying potential personnel or project risks and help formulate contingency plans. • Support the Project Anchors and the Stability Unit by ensuring developers are available and focused during critical production fixes. • Maintain sufficient technical credibility to follow engineering discussions, understand the team’s work, and ask relevant questions. While this role is not the primary technical authority, it is expected to operate confidently and effectively within technical conversations. • Act as a first-level escalation point for day-to-day operational and process questions, resolving escalations before it reaches the Team Leader. • Uphold UXM documentation requirements and Definition of Done compliance within the team. Hiring Support • Participate in hiring panels for Thailand-based frontend roles, providing structured feedback on culture fit, communication, and working style. • Assist in scoping role requirements in coordination with the Team Leader. Requirements Experience: At least 2 years of experience in a people management or team coordination role in a tech team. Preferred Qualifications: Familiarity with Front End frameworks and web technologies (HTML, CSS, JS (React, Angular etc.)). We value the ability to translate technical constraints into project timelines, ensuring you can accurately assess scope and complexity during the planning phase. • Genuine people leadership instinct — you find energy in developing others, you notice when someone is struggling before they say it, and you handle sensitive conversations with care. • Organized, dependable, and calm under pressure — the team should feel steadier because you are in the room. • High level of initiative, ownership, and leadership mindset. • Strong communication skills in English; able to represent team dynamics and delivery status clearly to the Team Leader and upward when needed. • iGaming or SaaS platform experience is an advantage. Here's what we offer: · Start with 20 days of annual leave, with 2 additional days added each year (up to 30 days by your fifth year with us), along with 13 public holidays per year. · Enjoy a flexible hybrid work schedule after your first three months with us. · Support for New Parents: - 21 weeks of paid maternity leave, with the flexibility to work from home full-time until your child turns 1 year old. - 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old. Our office perks include parking, on-site massages, and frequent team-building activities in various locations. Benefits & Perks: · Monthly meal allowance · Medical Subscription and Annual Physical/Medical check-up. · Access online learning platforms like Udemy for Business and a budget for external training. · Gym allowance. At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!

Location: Remote-Friendly, United States; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. What You’ll Do: Conduct red and purple team engagements simulating advanced threat actors across our cloud infrastructure, endpoints and bare metal deployments. Penetration test specific, high value deployments. Contribute to AI-assisted security testing tooling and workflows. Work cross functionally with other security and engineering teams, particularly on AI-specific attack scenarios. Document and present findings to technical and executive audiences, translating attack narratives into actionable risk insights that inform security roadmaps. Who You Are: 5+ years of hands-on experience in red teaming and offensive security operations Deep expertise in at least two of: macOS security, Linux Security, Cloud security (GCP/AWS/Azure), Kubernetes, CI/CD pipelines Track record of discovering novel attack vectors and chaining vulnerabilities creatively Experience conducting adversarial simulations against well-defended environments Strong engineering skills (Python, Go, or similar) Ability to write clear findings that drive action, helping teams understand risk and prioritize fixes Collaborative approach, working in close collaboration with the blue team Strong candidates may also have experience with: Prior work at organizations with state actor threat models Interest in AI safety and how security engineering contributes to responsible AI developments Background testing AI/ML systems or agentic workflows Familiarity with detection engineering and SIEM/EDR platforms from the defensive side Experience with data center security or hardware-based attacks Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 Data Engineer on the Data Science & Analytics team, you will build the data foundation for Anthropic’s quote-to-cash lifecycle: the path a deal takes from opportunity through revenue. You will design the canonical data models so that Sales, Deal Desk, Order Management, Revenue Operations and Finance work from one governed, auditable definition of what was sold, on what terms, and where each deal stands. You will partner closely with DS&A and with GTM and Finance systems teams who own Salesforce, CPQ and billing to make quote-to-cash data reliable, well-modeled and self-serve as our business scales. Responsibilities Understand the data needs of Deal Desk, Order Management, Revenue Operations, Finance and Sales systems teams, and translate them into technical requirements Design, build and own data models that transform raw Salesforce, CPQ, and billing data into canonical datasets Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data Partner with Salesforce, CPQ and billing engineers on upstream schema changes, new fields and ingestion so the warehouse faithfully mirrors the systems of record Build foundational data products, dashboards and tools to enable self-serve analytics to scale across GTM teams Influence stakeholder roadmaps from a data perspective, and become the expert on Anthropic’s GTM data models and architecture You might be a good fit if you have 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar Data Science & Analytics role, ideally partnering with GTM, Revenue Operations or Finance teams. A passion for the company's mission of building helpful, honest, and harmless AI. Hands-on experience modeling Salesforce data and at least one adjacent quote-to-cash system: CPQ, contract lifecycle management, billing and invoicing, or ERP. Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub. Expertise in SQL and Python to transform data into accurate, clean data models. Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams. A bias for action and urgency, not letting perfect be the enemy of the effective. A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description. Experience building an Analytics Data Engineering (or similar) function at start-ups. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Salesforce Developer at Anthropic, you will design, build, and maintain the Salesforce platform that powers our core customer motions and quote-to-cash business.: This includes automation throughout the Salesforce platform ranging from core sales automation to product catalog and pricing, quoting and approvals, order and contract management, and the handoff to billing and provisioning. You'll work both autonomously and collaboratively across RevOps, Order Management, Legal, Billing Engineering, Deal Desk, Finance and Accounting, and Product to translate pricing and packaging requirements into scalable Apex, Flow, and integration solutions, and to extend our capabilities with custom code where necessary. We are an AI-first systems team, and you'll be expected to use Claude and our in-house AI development tooling as a core part of how you write, review, and ship code, always against our house standards for flexibility, maintainability, and scale. Where you might sit We're hiring across more than one team. Placement depends on your background and where you can have the most impact. GTM Systems: Builds and runs the Salesforce platform and connected tools that Anthropic's sellers, sales leaders, and revenue operations teams rely on every day. You'd build the automation behind how deals move through the pipeline, how leads and accounts reach the right owner, and how information flows between our sales tools and the rest of the business. You'll work directly with the analysts and operators who define the process, and see the impact on the people who use what you ship. QTC Experiences: A vertically integrated team that spans quoting through to provisioning agreements, as well as customer billing experiences over the term of their agreement. You'd build the foundational systems for CPQ, order management, provisioning and billing experiences, envisioning how we make our sellers and ops teams orders of magnitude more efficient with Claude. You'll work cross-functionally with GTM, finance, accounting and other stakeholders. Your work will directly impact seller velocity and our GTM deal making capacity. Key responsibilities Develop and maintain Apex (triggers, services, selectors, batch/queueable), Lightning Web Components, and Flow automation following our house Apex standards and trigger framework Design and build quote-to-cash infrastructure in Salesforce, including the product catalog and pricing data model, quote and order lifecycle, discount and approval automation, and amendment, renewal, and co-termination flows Extend CPQ and expand into agentic selling with custom pricing and quote-calculation logic, quote and order user experiences, and code built against the package's APIs and data model Build and own integrations between Salesforce and our billing, provisioning, and finance systems, such as Stripe, Metronome, and NetSuite, directly or via middleware Support new product and pricing launches by modeling catalog, SKU, and pricing changes so they can be released quickly and reflected consistently in every downstream system Use Claude and our internal AI development tooling as a first-class part of your build and code-review workflow Partner with Business Systems analysts and Finance to ensure data-model decisions support downstream bookings, forecasting, and revenue reporting Partner with DevOps on release management for your work: sandbox strategy, source control, peer review, and deployment via SFDX/metadata tooling Ensure appropriate controls, test coverage, and documentation are in place for an effective control environment, particularly around pricing, discounting, and contract changes Operate with ambiguity in a rapidly changing business, resolve problems independently, and propose solutions that scale Minimum qualifications Hands-on Salesforce development experience (Apex, SOQL, LWC, Flow) in a production org Experience building or extending CPQ and quote-to-cash functionality in Salesforce (Salesforce CPQ, Revenue Cloud, Nue, or similar): product and pricing data models, quote and order lifecycle, approval automation, and amendments and renewals, including custom code written against the CPQ package rather than configuration alone Experience integrating Salesforce with billing, ERP, or provisioning systems via REST/Bulk APIs, middleware (Workato, Mulesoft, or similar), or direct callouts Fluency with SFDX, source-controlled metadata, and a sandbox-to-prod release process with peer review Active use of AI-assisted development tools (Claude, Copilot, Cursor, or similar) as part of how you write and review code, and the ability to speak to how you steer and verify their output Basic SQL skills and comfort working alongside a data warehouse Effective communication with sales, deal desk, finance and accounting, product, and engineering stakeholders Preferred qualifications Salesforce Platform Developer I and II certifications Advanced Administrator or Application/System Architect certification Deep understanding of Salesforce platform constraints: governor limits, bulkification, sharing and visibility, recursion control, and how they surface in CPQ-specific situations such as large quotes, calculation performance, and bulk amendments Experience implementing a CPQ solution end to end or re-platforming from one CPQ to another, not just maintaining an existing one Experience with billing and finance platforms such as Stripe, Metronome, or Oracle, and with usage-based or consumption pricing models Working understanding of how CPQ design decisions flow through to bookings, invoicing, and revenue recognition Proven experience scaling Salesforce in a high-growth GTM 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: $270,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Join Anthropic as a Customer Success Manager for Life Sciences. You’ll be a strategic partner and trusted advisor to leading organizations working to accelerate scientific discovery, such as research institutes, academic medical centers, and scientific foundations. You’ll help these organizations harness the full potential of Claude through deep product expertise, use case discovery, and hands-on guidance. You’ll be part of a Research and Life Sciences account team pod, working as one team with your Account Executive and Applied AI partners. Together you’ll shape account strategy with  you taking the lead on adoption, change management, and value realization. This role doesn’t follow a single playbook. You’ll run a range of Customer Success motions, from deep 1:1 strategic partnership to one-to-many programs like webinars, hackathons, and cohort-based enablement. You’ll choose the motion based on top account and customer priorities and the best way to solve for them. The insights you gather will directly inform our research priorities, product development (including how Claude for Life Sciences evolves), and strategies for beneficial AI deployment. That makes you a key voice in how we build and deliver AI systems that accelerate science for the benefit of society. Responsibilities Build trusting, strategic relationships with research leaders, scientists, principal investigators, and program directors to understand their scientific priorities, organizational goals, and impact objectives Partner closely with your Account Executive and Applied AI counterparts in the Research and Life Sciences pod on shared account plans, bringing in Product, Support, and other teams as needed Run the right Customer Success motion for each account and customer priority, whether that’s dedicated 1:1 engagement, cohort-based onboarding, hackathons and build days, office hours, or researcher communities Become an expert in Anthropic’s products, especially Claude for Science, guiding organizations and their researchers and scientists to the right solutions and most impactful use cases Monitor usage patterns and proactively drive adoption, identifying optimization opportunities and new applications for Claude across your book of business Develop and execute change management strategies suited to scientific and academic cultures, including Train the Trainer programs, Center of Excellence development, and enablement that respects partner capacity, governance requirements, and decision-making processes Guide partners through the technical and governance foundation for launch, including SSO and provisioning, workspace configuration, and data handling considerations for research and health data (such as HIPAA, IRB, and institutional data policies) Own account and success plans and run Quarterly Impact Reviews that document and quantify value realized, such as research productivity, time-to-insight, and cost savings, and partner with Marketing on success stories and reference accounts Establish the repeatable playbooks, templates, and health metrics that define what “great” looks like for customer success in life sciences at Anthropic You may be a good fit if you have 6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or consulting 3+ years of experience in life sciences research, with exposure to new technologies as a catalyst for accelerating progress Experience working directly with life sciences organizations, such as academic research institutions, research institutes, foundations, biotech, or pharma, and familiarity with how scientific research is conducted, funded, and governed An understanding of the regulatory, risk, and compliance needs of the industry Experience driving success across both consumption-based and seat-based business models, with an understanding of the expansion levers and success metrics for each Experience managing dedicated strategic accounts and delivering one-to-many programs, with the judgment to choose the right motion for the customer priority at hand Strong cross-functional collaboration skills, including working as part of an account team with Sales and technical partners and advocating effectively for customer needs Technical fluency in AI/ML concepts, API integrations, and software implementation patterns, and the ability to explain them to audiences ranging from bench scientists and computational researchers to institutional leadership. Familiarity with scientific data types, research workflows, or bioinformatics tooling is a strong plus A data-driven, AI-first way of working, using adoption signals to guide decisions and building Claude-powered workflows into how you engage partners Passion for both AI and accelerating scientific progress, with a strong interest in ensuring frontier AI systems are developed safely, ethically, and deployed to benefit society A knack for bringing order to chaos and an enthusiastic “roll up your sleeves” mentality. You are a true team player The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $200,000 — $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security and control commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward continuous assurance, to challenge and evidence the performance of controls continuously rather than through periodic audits. As Anthropic scales to meet public-company standards, the Sarbanes-Oxley (SOX) control environment over our technology stack is one of the most consequential things this team owns. As part of Security GRC's technical controls assurance function, you will be the voice on what the IT general controls must achieve to support SOX 404 compliance. In partnership with Internal Audit, you will define control requirements and acceptance criteria for the in-scope engineering systems and infrastructure that underpin financial reporting. You will pair with engineering as they design and implement against those requirements, and validate that what ships actually meets the bar before Internal Audit and our external auditors test it. You are the product owner for control design methodology and continuous control monitoring, initially around ITGCs, but extending into other areas of security and compliance to drive visibility where and when we need it. Key responsibilities Define control requirements and acceptance criteria across the core ITGC domains of logical access, change management, computer operations, and program development for SOX in-scope systems, including home-built platforms where the control has to be designed into the system rather than bolted on. Set the bar for in-scope systems from day one. As financially significant systems are built, migrated, or replaced, define what the system must provide (auditability, segregation of duties, change control, immutable logging, evidence retention) before go-live, so controls are not retrofitted after the fact. Pressure-test changes for SOX impact during design. Review major infrastructure, system, and agent framework changes for control impact while decisions are still cheap, and maintain a clear view of which changes alter the SOX scope, key control population, or evidence requirements. Own second-line control monitoring and evidence readiness. Stand up continuous controls monitoring and automated evidence collection for ITGCs (control testing, walkthrough preparation, population and completeness validation, and mapping to the common controls framework). Materially raise automated evidence coverage and cut audit prep time. Drive control deficiency remediation with cross functional partners. Track and root-cause ITGC deficiencies surfaced by monitoring, Internal Audit, or external audit; partner with engineering owners on remediation design; and assess whether remediation actually closes the gap before re-testing. Assess scope changes through a SOX lens. When new products, entities, systems, or integrations come into scope, provide technical and compliance assessment of their impact on control design, evidence requirements, and engineering effort before commitments are made. Maintain alignment with the broader compliance portfolio. Where SOX ITGCs overlap with SOC 2, ISO 27001/42001, or other frameworks, ensure controls are designed once and evidenced once, and that changes made for one framework do not silently break another. Minimum qualifications Thrive at the pace of a hypergrowth company. You're comfortable making calls with incomplete information and reprioritizing as scope shifts. Have led or been a senior contributor to an ITGC program through SOX 404 readiness and/or at a public company, with a working command of PCAOB AS 2201, COSO 2013, and how external auditors scope, test, and evaluate technology controls and deficiencies. Have genuine engineering fluency, possibly from an earlier engineering career: you can read code and Terraform, follow a CI/CD pipeline end to end, and challenge a design on its technical merits. Have programming skills in Python or at least one systems language such as Go, Rust, or C/C++. Have deep familiarity with developer platform, release engineering, cloud infrastructure, or ERP/financial systems control domains. Understand the role of the second line: you can advise and challenge engineering without taking ownership of their controls, and you know where the line sits between your monitoring and Internal Audit's independent testing. Are a strong collaborator and communicator across Finance, Engineering, Internal Audit, and external auditors. Use Claude and other LLMs as daily working tools, and have grounded, specific views on which SOX assurance workflows AI can run today and which it can't yet. Translate SOX and framework language into acceptance criteria engineers can build against, and translate engineering reality back into assurance language auditors and leadership can rely on. Default to getting the requirement designed into the system rather than papering over the gap with procedure. Preferred qualifications A combination of audit or advisory experience (Big 4 or equivalent, ideally IT audit) with in-house experience at an AI-forward tech company, in either order. Taken a company through a first-year SOX 404(a) and 404(b) assessment, including a first external ITGC audit. Defined or assessed controls over home-built financially significant systems, usage-based billing, or revenue metering pipelines. Defined or assessed controls for AI/ML systems or agents acting in production environments. Stood up continuous controls monitoring or automated evidence programs. Experience with SOC 1 reliance, service organization control mapping, and complementary user entity controls. CISSP, CISA, CPA, or equivalent certification. 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: $410,000 — $510,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We launch new products, models and pricing often, and each launch has to work in our systems on day one. A seller needs to be able to quote it, Deal Desk needs to be able to approve it, billing needs to charge for it correctly, and Finance needs to report on it. This role owns how a launch gets into our quote-to-cash systems, from the first pricing conversation to the first invoice. We are looking for someone who treats every launch as a change across many systems. You will join launch planning early, work out what has to change across catalog, quoting, contracts, billing, tax and reporting, and get all of it ready before the launch date. You will build a good part of the Salesforce work yourself and partner with our Salesforce developers and Billing Engineering on the rest. You will be the named owner of the NPI process for systems, and the person Product, Pricing and Finance call when they want to know what it takes to launch something. We are an AI-first systems team. You will use Claude as a normal part of how you design, build, test and document, and you will look for ways to make launches faster and more repeatable with AI. Key responsibilities Own the systems side of new product and pricing launches, from the first pricing discussion through launch day and the first billing cycle Turn a pricing and packaging decision into concrete system changes: SKUs, price books, bundles, discount and approval rules, contract terms, billing plans, tax codes and reporting Build and run a repeatable NPI playbook: intake, a readiness checklist, sign-offs, a launch calendar and a post-launch review Join launch planning early with Product and Pricing. Push back on pricing ideas that cannot be quoted, billed or reported cleanly, and offer options that can Design how new pricing models work end to end, including usage-based, seat-based, tiered, committed and multi-year ramp pricing, and which system is the source of truth for each part Plan the impact on existing customers: moving customers to new SKUs, grandfathering, amendments and co-termination, and how renewals will work Own end-of-sale and retirement of products and prices, so old SKUs leave the catalog without breaking renewals, billing or reporting Coordinate the changes across Salesforce, billing and our tax platform, working with the teams who own each system Partner with Deal Desk, Sales, Finance, Accounting, Tax and Legal so each team signs off on what changes for them before launch Make sure sellers and Deal Desk are ready on launch day, including quote templates, approval paths, guidance and enablement Check every launch after it goes live: do quotes, orders, invoices and Finance reports match? Add the control or reconciliation that catches the gaps Build and ship declarative solutions yourself where that is the right call, and write specs clear enough that developers can build the rest without several rounds of questions Use AI to shorten launch cycles, for example generating catalog changes from a pricing spec, checking launch readiness, and testing quote and billing scenarios Minimum qualifications Experience in GTM or revenue systems as a Business Systems Analyst, Q2C Systems Lead or similar role, with hands-on ownership of product and pricing launches Experience launching new products or pricing models at a fast-growing company, owning the change across catalog, quoting, contracts and billing Hands-on experience with Salesforce CPQ, Revenue Cloud or a similar CPQ tool, especially product and pricing data models, price books, bundles and approval rules Working understanding of how a pricing decision flows into bookings, invoicing, tax and revenue recognition Experience running a cross-functional process with many sign-offs (Product, Finance, Legal, Sales) and getting to launch on a fixed date Hands-on Salesforce admin skills (Flow, validation rules, page layouts, approval processes) and comfort building meaningful parts of your own solution Clear communication across Product, sellers, Deal Desk, Finance, Legal and engineers, adjusting the level of detail for each Preferred qualifications Experience in GTM, revenue or finance systems roles Experience with usage-based or consumption pricing, and with billing platforms such as Stripe, Metronome or Zuora Experience moving existing customers onto new pricing, including migrations, grandfathering and amendments at scale Experience with tax setup for new products (tax codes, tax engines such as Anrok or Avalara) Experience with integrations between Salesforce and billing, ERP or provisioning systems, and comfort reading API payloads and integration logs Basic SQL and comfort using a data warehouse to check launch data Salesforce Administrator certification. CPQ Specialist, Advanced Administrator or Business Analyst certification is a plus Hands-on use of AI tools (Claude or similar) in how you design, build or document systems, and the ability to explain how you check their output The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a GTM Strategy & Operations Business Partner supporting the AMER Enterprise Tech organization, you will work closely with sales leadership to be a deep expert in a critical segment of our fastest-growing business. This role supports the AMER Enterprise Tech team, one of Anthropic's largest and most strategically significant commercial organizations, and will partner directly with executives to drive strategic analysis, operational efficiency, and growth initiatives while supporting critical global strategic initiatives. This includes business performance analysis, facilitating operating cadences and powering business reviews, improving operational efficiency, driving strategic initiatives, and supporting the rapid evolution of our sales motions and organization. We're building for a future where AI dramatically amplifies what strategy teams can accomplish. We're hiring people with the technical depth, business judgment, and executive potential to operate at that frontier — leveraging AI to eliminate routine work and redirect energy toward the strategic and creative challenges that move the business. This role will evolve rapidly, and we need someone with the ceiling and ambition to evolve with it. Key responsibilities Strategic Analysis, Operations & Planning Partner with Sales leaders to analyze and refine segment-specific strategy including territory planning, resource allocation, performance to plan, and growth initiatives Maintain excellence through business reviews and operating cadences to help achieve company revenue targets and strategic objectives Be audible-ready about GTM efforts and a deep expert in your segment's book of business and trends with the ability to cut right to what matters for varying audiences from IC to executive Data-Driven Decision Support Analyze sales performance metrics and develop insights to optimize segment performance and improve efficiency using SQL, R, or Python to query, model, and visualize data at scale Leverage Claude to its full capability Partner to create, evolve and maintain reporting mechanisms, using data to go from "what" to "why" Synthesize tangible, strategic recommendations based on go-to-market motions, deal outcomes, partner and customer feedback, and product opportunities Build and maintain dashboards, models, and ad hoc analyses in spreadsheets and BI tools with mastery-level proficiency Go-to-Market Execution Develop and maintain use case frameworks to capture and standardize how customers derive value Support multiple teams and executives in leveraging insights for new deals, expansions, and retention strategies Partner with GTM teams to evolve and refine sales motions and best practices across segments and regions Executive Stakeholder Management Serve as a trusted strategic advisor to senior and executive stakeholders across the GTM organization, delivering insights and recommendations with clarity, conviction, and composure Navigate high-stakes conversations with intense, demanding executives — maintaining poise under pressure while delivering candid, well-supported perspectives Build deep credibility through consistent follow-through, proactive communication, and the ability to challenge assumptions respectfully when the data warrants it Translate complex analyses into executive-ready narratives that drive decisions, managing up effectively across multiple senior leaders with competing priorities Cross-Functional Collaboration Work closely with Revenue Operations, Sales Enablement, Strategic Finance, and Product teams to drive initiatives and elevate excellence in course of business Support coordination between AMER Enterprise sales segments and partnership teams Help prepare materials for executive reviews and planning sessions Minimum qualifications Deep alignment to Anthropic’s mission Experience in sales strategy, revenue operations, management consulting Proficiency in SQL or R — you can independently write queries, build models, and extract insights from large datasets without relying on others Mastery of spreadsheet tools and data (Google Sheets / Excel) — pivot tables, complex formulas, data modeling, and scenario analysis are second nature to you Strong analytical skills with the ability to translate data into actionable insights and compelling executive narratives Deep experience with GTM systems like Salesforce and business intelligence tools (Looker, Tableau, etc.) Proven executive stakeholder management skills — you have a track record of presenting to and influencing C-suite and VP-level leaders in high-intensity environments. An ability to pull signal through noise and an internal drive to create clarity. You strive for simplicity as the most elegant solution to complex situations. A demonstrated ability to build trust with and influence a variety of stakeholders, including colleagues and other members of the GTM Strategy and Revenue Operations team A healthy balance of idealism with pragmatism and the highest internal bar for excellence. You have been accountable for the results of your recommendations. Track record of driving forward high-growth sales organizations Disciplined project management and exceptional communication and interpersonal abilities A desire and readiness to do the best work of your career Bachelor's degree required; MBA or advanced degree preferred Preferred qualifications 10+ years of experience in sales strategy, revenue operations, management consulting Experience in both large Enterprises in technology, finance or professional services, in addition to fast-paced startup building Experience with AI/ML companies and consumption business models Prior experience building frameworks for sales use cases or value propositions Background in scaling sales organizations through 2-3x+ growth periods The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $310,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an experienced Executive Communications Writer to support and scale the ways our leaders tell our story. In this role, you will work closely with the Head of Executive Communications and other organization leaders to reach priority audiences in ways that compellingly communicate Anthropic's position at the AI research frontier, market-leading commercial posture, and industry-leading commitment to public benefit. In this role, a given day might include drafting, editing, brainstorming, on-site event support, and coordinating executive response to breaking news, all in close collaboration with the External Communications team and other leaders. The ideal candidate will be an adept storyteller, an experienced partner to leaders, and a flexible collaborator, able to navigate ambiguous situations with sound judgment. When circumstances dictate, you should also be capable of shaping highly technical materials that reach sophisticated audiences with deep domain experience. Because a company like Anthropic — and a technology like advanced AI — are unprecedented in nature, we’re looking for proactive, visionary candidates who offer fresh perspectives on what executive communications might look like in the AI era. We are particularly interested in candidates with experience and expert capability in at least one domain relevant to Anthropic's roster of executives. These include: science and research; products and AI architecture; enterprise and commercial strategy; and visual storytelling and brand, among others. Responsibilities: Originate and shape exceptional executive communications that span a wide array of written and rhetorical formats and platforms Work cross-functionally with External Communications colleagues and other subject matter experts to drive consequential communications moments that serve strategic goals Support senior leaders in developing their areas of communications focus and in their preparation for major communications moments Balance a collaborative ethic with a strategic point of view You may be a good fit if you: Have 8+ years of high level executive communications experience, ideally at a high-tempo, industry-shaping organization Are an exceptional writer and communicator — both on the page, and in high-stakes, fast-moving environments Are high agency and low ego Demonstrate comfort and experience in supporting senior leaders Have a point of view on how forces of change are reshaping traditional communications disciplines, including executive communications Display strong operational capabilities Are self-driven with a bias to action Show excellent judgment and instincts in navigating ambiguous situations Maintain epistemic humility while making informed decisions Bring an open and curious mindset to deeply understand technical concepts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $295,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization builds and operates the compute that trains and serves our frontier models. Behind every cluster is a physical supply chain: servers, accelerators, networking equipment, spares, and tooling that have to be received, inspected, secured, tracked, and delivered to the right site at the right time. The Warehousing and Logistics team owns that flow, and this role runs its day-to-day operations in the US. As Warehouse and Logistics Manager, you'll report to our Global Warehousing and Logistics Lead and own the operational management of all direct and third party logistics providers) of inbound receiving, storage, inventory control, kitting, and outbound shipments to our data center sites and partners. You'll manage the relationships and performance of our third-party warehouses, carriers, and freight forwarders, and you'll be the person on the ground when a shipment is late, a pallet arrives damaged, or a site needs a critical spare tomorrow morning. This is a hands-on operational role on a small team, so you'll move between running the daily floor rhythm and building the processes, controls, and metrics that let us scale as our hardware footprint grows. You should be comfortable making decisions with incomplete information, communicating clearly with engineers and vendors alike, and holding a high bar for accuracy and chain of custody on high-value, security-sensitive equipment. Key responsibilities Oversee the day-to-day warehouse operations across locations in North America, including receiving, inspection, put-away, storage, cycle counting, kitting, and outbound fulfillment to data center sites for the Anthropic owned warehouse and those run by Anthropic’s partners/ third party logistics providers Own inventory accuracy and asset tracking for all infrastructure hardware, compute, MEP, spares, and consumables, maintaining clear chain of custody from dock to rack Plan and execute domestic freight and coordinate international shipments, selecting carriers, managing schedules, and resolving exceptions such as delays, damage, and shortages Manage third-party logistics providers, carriers, and freight forwarders, including onboarding, service-level tracking, performance reviews, and cost management Coordinate closely with data center operations, hardware engineering, procurement, and security teams to align delivery schedules with deployment timelines and site readiness Operate reverse logistics for returns, RMAs, and end-of-life equipment, including secure handling and disposition of storage devices in partnership with security and compliance Build and document standard operating procedures, checklists, and controls for warehouse and shipping activities, and train warehouse staff and vendors on them Maintain compliance with safety, hazardous materials, export control, and customs requirements for the equipment we handle Define and report on operational metrics such as receiving cycle time, inventory accuracy, on-time delivery, and freight cost, and use them to drive continuous improvement Support capacity planning for warehouse space, staffing, and equipment as our hardware volumes and site count grow Minimum qualifications Experience managing warehouse or logistics operations for physical goods, including receiving, inventory control, and outbound shipping Hands-on experience with a warehouse management or inventory management system, and comfort working in spreadsheets to analyze inventory and shipment data Experience managing third-party logistics providers or carriers, including negotiating service levels and holding vendors accountable to them Working knowledge of domestic freight (LTL, FTL, and parcel) and the documentation that goes with it Familiarity with safety and regulatory requirements for shipping and storing IT or electronic equipment, such as hazardous materials rules for lithium batteries Strong written and verbal communication skills, with the ability to coordinate across technical and non-technical teams and external partners Demonstrated ability to build processes from scratch and keep operations running reliably as volume and complexity increase Ability to travel to warehouse and data center sites in the US as needed Preferred qualifications Experience handling data center or enterprise IT hardware, including servers, GPUs or other accelerators, and networking equipment Experience with international freight forwarding, customs brokerage, and export control requirements such as EAR Experience with secure chain-of-custody programs, asset tagging, and data-bearing device sanitization or destruction Experience directly managing warehouse staff or contract labor Familiarity with ERP or procurement systems and how inventory data flows between them and warehouse systems Experience with lean, Six Sigma, or similar continuous improvement methods Forklift certification or experience overseeing material handling equipment operations Experience supporting rapid infrastructure buildouts, whether in cloud, telecom, or another hardware-intensive industry The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 the leader of our new Hedge Funds sales team within Enterprise FSI, you will build and lead the team that brings transformational AI to the world’s leading hedge funds - multi-strategy platforms, quantitative and systematic firms, discretionary long/short equity, global macro, and credit funds. These are some of the most technically sophisticated and competitive organizations in financial services, rethinking how they generate ideas, conduct research, build and test strategies, manage risk, and run their operations - and they’re looking for a partner they trust to take frontier AI from promising experiments into production at the research, engineering, and operations levels. You’ll own a focused portfolio of top-tier funds at very different stages of AI adoption, from firms already running Claude across research and engineering to those just beginning their journey. You will lead Enterprise and Strategic Account Executives, design the coverage and territory model, and build the repeatable, hedge-fund-specific plays that turn early wins into durable, scaled adoption. The selling is technical and multi-stakeholder - platform decisions, protection of proprietary strategies and data, security and compliance rigor, and solutions built on Claude through our API, Claude for Enterprise, Claude Code, and partner cloud platforms. Lead and scale - as you’ll shape strategy and operating rhythm while staying personally engaged with founders, CIOs, CTOs, and heads of research on the pursuits that matter most. This is a rare opportunity to build a team from the ground up, not just run a number: to shape how the hedge fund industry adopts frontier AI, and to do it at a company where safety, trust, and long-term customer outcomes are central to how we sell. Key responsibilities: Define Hedge Fund go-to-market strategy and coverage design, including segmentation, territories, account prioritization, and vertical value propositions, and evolve the coverage model as the business scales Recruit, coach, and retain Enterprise & Strategic Account Executives with deep financial-services and platform-selling expertise; develop talent and create career paths that keep top performers growing Build repeatable eval, deployment, and adoption practices while partnering with Marketing, Enablement, and partner teams to scale them Engage personally with C-level executives on priority pursuits, building business cases and value narratives and navigating complex procurement, security, and legal processes through to production deployment and expansion Own the team’s revenue targets and operating rhythm, instilling pipeline-generation discipline and running forecasting, deal inspection, and account planning cadences that make performance predictable and coachable across a high-volume book of business Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and represent client requirements on security, deployment, and performance to Product Orchestrate cross-functional and partner motions with Customer Success, Marketing, Partnerships, Legal, and cloud partners to deliver a seamless customer experience, and represent Anthropic with customers and at industry events as a visible, trusted leader Minimum qualifications: Experience leading enterprise sales teams that sell technical, complex products such as API-first platforms, cloud infrastructure, or data and machine learning platforms into hedge funds A track record of winning and growing enterprise customers, including building C-suite relationships, in hedge funds Experience designing go-to-market coverage for an enterprise sales team, including segmentation, territories, and account prioritization Operational rigor across both a high-volume pipeline and complex, multi-stakeholder sales cycles, balancing velocity with deal quality and forecasting accurately in fast-changing environments Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of Research — and experience pairing effectively with solutions architects and applied AI teams Strong coaching skills that raise team performance through deal coaching and account strategy, combined with personal effectiveness alongside executives on high-priority opportunities Familiarity with consumption- or usage-based commercial models and value-based pricing conversations A genuine interest in deploying AI responsibly and motivation to advance Anthropic’s mission of building safe, beneficial AI Preferred qualifications: Second-line management experience or demonstrated readiness to step into that scope Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to hedge funds Deep familiarity with regulated-industry selling — model-risk management, regulatory and compliance-driven procurement, security review, and the governance expectations of financial institutions Experience selling with IP protection, security, and vendor risk in mind Experience leading organizations through rapid growth, re-segmentation, or significant change 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: $450,000 — $700,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Lomira, WI Scheduling Manager Location: Project-Based (Wisconsin, Missouri, Wyoming, Texas, and future project locations) Employment Type: Full-Time Work Environment: Primarily Site-Based (Long-Term Project Assignments) Lead the Planning Behind World-Class Mission-Critical Projects The successful delivery of hyperscale data centers and mission-critical infrastructure depends on exceptional planning, forecasting, coordination, and execution. From greenfield site development and utility installation through commissioning and turnover, schedules serve as the foundation for project execution. They align engineering, procurement, construction, logistics, quality, commissioning, and customer expectations into a single roadmap for delivery. As a Scheduling Manager , you will lead planning and scheduling functions supporting some of North America's largest and most complex hyperscale data center developments. You will help shape execution strategy, identify and manage schedule risk, improve planning certainty, and provide project teams with the visibility needed to make informed decisions throughout the project lifecycle. About Michels Infrastructure Solutions Michels Infrastructure Solutions (MIS) brings together the full capabilities of the Michels Family of Companies under a Super General Contractor (Super GC) model, providing mission-critical owners and developers with a single point of accountability for every phase of project execution. By combining self-performed specialty design, construction, and commissioning services, MIS delivers large-scale, multidisciplinary projects with greater control over safety, quality, schedule, and cost. MIS specializes in the delivery of hyperscale data centers and mission-critical facilities, leveraging expertise across mass grading and site development, wet and dry utilities, fiber and telecommunications infrastructure, ground improvement, deep foundations, structural concrete, power infrastructure, and commissioning. Our integrated delivery approach enables customers to partner with a single-source team capable of executing some of North America's most complex and demanding infrastructure projects. Position Overview As a Scheduling Manager , you will lead scheduling functions across large-scale hyperscale data center and mission-critical infrastructure projects. During the early phases of project delivery, you will support conceptual planning, site-development sequencing, utility infrastructure planning, procurement integration, logistics planning, and construction mobilization activities. As projects advance, you will oversee schedule development, progress measurement, forecasting, commissioning planning, recovery planning, and turnover readiness efforts. You will be responsible for developing scheduling standards, managing project schedules, supporting preconstruction activities, leading schedule analysis efforts, and providing schedule-driven insights that improve project performance. This role serves as a strategic partner to Project Management, Construction Management, Project Controls, Procurement, Engineering, Commissioning, Field Operations, and Executive Leadership teams. Success requires leadership capabilities, advanced scheduling expertise, strong analytical skills, construction knowledge, and the ability to transform project data into actionable execution strategies. Key Responsibilities Lead scheduling activities across multiple hyperscale data center and mission-critical infrastructure projects. Develop and implement scheduling standards, best practices, procedures, governance requirements, and reporting methodologies. Manage baseline schedules, milestone schedules, resource-loaded schedules, recovery schedules, commissioning schedules, and turnover schedules. Develop integrated schedules that align engineering, procurement, construction, commissioning, and turnover activities. Support project pursuits, conceptual planning, preconstruction efforts, and execution-planning activities through schedule development and analysis. Identify schedule risks, constraints, opportunities, and recovery strategies supporting successful project execution. Establish schedule-management processes that provide visibility into project progress, milestones, procurement readiness, and forecasted completion dates. Provide project leadership teams with schedule visibility, reporting, forecasting, and performance analysis throughout the project lifecycle. Drive continuous improvement across scheduling systems, planning processes, and project-execution practices. What You'll Do Lead scheduling efforts from project pursuits through final turnover and project closeout. Develop conceptual schedules, execution schedules, baseline schedules, resource-loaded schedules, and commissioning schedules supporting hyperscale data center construction. Support planning activities associated with site development, mass grading, underground utilities, telecommunications infrastructure, structural concrete, power infrastructure, commissioning, and final turnover. Establish project logic, critical-path methodology, project milestones, procurement integration points, commissioning milestones, and turnover requirements. Collaborate with Project Managers, Construction Managers, Superintendents, Project Controls personnel, Procurement teams, Engineers, Subcontractors, and Customers to validate execution strategies and project assumptions. Facilitate pull-planning sessions, schedule-review meetings, milestone workshops, look-ahead planning sessions, schedule-risk discussions, and recovery-planning workshops. Analyze project progress, production trends, labor productivity, procurement status, commissioning readiness, and schedule performance to identify risks and opportunities. Perform critical-path analysis, delay analysis, schedule-impact evaluations, schedule-risk assessments, and forecasting activities. Support project teams in evaluating schedule impacts associated with design changes, procurement delays, utility conflicts, labor constraints, weather events, productivity impacts, and change orders. Develop recovery plans and alternative execution strategies when project milestones are threatened. Prepare executive reports, schedule dashboards, milestone evaluations, trend analyses, and performance metrics. Support procurement planning by integrating long-lead equipment and material milestones into project schedules. Support commissioning and turnover planning efforts to ensure successful project transitions. Identify opportunities to improve schedule reliability, planning accuracy, forecasting effectiveness, and overall project performance. Leadership & Team Development Lead, mentor, and develop Schedulers and planning personnel supporting assigned projects. Establish scheduling expectations, planning standards, reporting requirements, and schedule-governance practices. Promote accountability, collaboration, schedule ownership, and proactive planning throughout project teams. Support project leadership by identifying planning risks, execution challenges, and schedule-improvement opportunities. Drive continuous-improvement initiatives that enhance schedule certainty, forecasting accuracy, and project outcomes. Foster collaboration between Project Management, Construction Operations, Procurement, Engineering, Project Controls, Commissioning, and Executive Leadership teams. Why Michels Infrastructure Solutions, Inc.? We deliver some of North America's largest and most complex hyperscale data center and mission-critical infrastructure projects. We leverage a unique Super GC delivery model that combines specialty construction capabilities under a single-source execution approach. We provide exposure to every phase of project delivery, from greenfield site development and procurement through commissioning and turnover. We provide opportunities to influence project strategy, execution planning, and schedule performance on nationally significant infrastructure projects. We are family owned and operated. We invest an average of $5,000 per employee per year in training and career development. We perform challenging, meaningful work that supports cloud computing, artificial intelligence, digital connectivity, and economic growth. We believe everyone is responsible for promoting safety, regardless of job title. We are part of the Michels Family of Companies, one of North America's largest and most diversified energy and infrastructure contractors. We offer opportunities to influence the planning and execution strategy behind industry-defining mission-critical projects. Comprehensive Benefits Package Health Insurance Dental Insurance Life Insurance Flexible Spending Accounts (FSA) Health Savings Account (HSA) Short-Term Disability Insurance Long-Term Disability Insurance 401(k) Retirement Plan Legal Plan Identity Theft Protection and Monitoring Plan Benefits may vary based on position and location. Why You? You like to surround yourself with dedicated, value-driven people. You relish new challenges and evolving technology. You cringe when you hear: “Because that's the way we've always done it.” You enjoy solving complex planning, sequencing, and execution challenges. You thrive in environments where organization, accountability, collaboration, and foresight drive success. You enjoy developing teams and helping others grow professionally. You enjoy identifying risks before they become project issues. You are motivated by ownership, continuous improvement, and operational excellence. You enjoy transforming project data into actionable execution strategies. You want your efforts noticed and your results to make a meaningful impact. You want to work to make a difference. What It Takes Bachelor's degree in Construction Management, Engineering, Project Management, Business, or a related discipline and 8+ years of scheduling, project controls, construction management, engineering, or project-execution experience , or an equivalent combination of education and experience. Experience developing and managing schedules for hyperscale data centers, mission-critical facilities, EPC projects, industrial construction, power infrastructure, utility construction, heavy civil projects, or other large-scale construction programs. Demonstrated leadership experience managing scheduling efforts across multiple projects, major project teams, or large multidisciplinary construction programs. Advanced understanding of site-development sequencing, procurement workflows, commissioning activities, field operations, resource planning, critical-path scheduling, and project-execution methodologies. Experience developing baseline schedules, resource-loaded schedules, recovery schedules, commissioning schedules, milestone schedules, and integrated master schedules. Strong capabilities in critical-path analysis, schedule forecasting, delay analysis, recovery planning, schedule-impact analysis, and schedule-risk management. Experience supporting project pursuits, conceptual planning, preconstruction efforts, procurement integration, and project startup activities. Experience supporting major earthwork, utility, telecommunications, industrial, power, EPC, infrastructure, or mission-critical construction projects preferred. Ability to collaborate effectively with Project Management, Construction Leadership, Project Controls, Engineering, Procurement, Owners, Subcontractors, and Executive Leadership teams. Advanced proficiency with Primavera P6 . Experience with Microsoft Project, Power BI, Procore, Autodesk Construction Cloud, Oracle Primavera, Acumen Fuse, InEight, or similar project-management and planning platforms preferred. Planning & Scheduling Professional (PSP), PMI-SP, PMP, or related industry certifications are preferred but not required. Strong analytical, organizational, communication, presentation, leadership, facilitation, and problem-solving skills. Ability to manage multiple projects and priorities while maintaining a high degree of accuracy and strategic focus. Valid driver's license with an acceptable driving record. Ability to support long-term, site-based assignments at hyperscale data center and mission-critical construction projects throughout North America. This position is primarily project-based, with significant interaction occurring directly with field operations, project leadership, and key stakeholders. Initial project opportunities are expected to be located in Wisconsin, Missouri, Wyoming, and Texas, with future assignments determined by business needs and project awards. Join a company that powers progress. Be a part of Michels Infrastructure Solutions, Inc.—where you don't just build projects, you build a career. AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/