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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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team, focused on using Claude to speed up protein and small-molecule design. You'll work with research partners to apply modern design and structure models to real discovery problems, and build the agents and skills that turn those tools into end-to-end workflows. This role is about applying design models, not building new ones. Responsibilities Work with research partners on protein and molecular design end-to-end with Claude, from advising, to prototyping, to writing production code. Work in a design–make–test loop with wet-lab partners (e.g. antibody-repertoire mining, MD prep / trajectory analysis at proteome scale) and turn the expert steps into reusable agents/skills. Build agents and skills that wrap design and structure tools into end-to-end workflows. Support research efforts aimed at better understanding the protein sequence-to-function relationship Help partners measure where AI speeds up their design cycles, and where it doesn't. Drive product, engineering and research direction from field experience, e.g. benchmarks and evals for design and structure tasks (capabilities and safety). Scale your impact to the long tail of labs through reusable skills, cookbooks and docs. Be an ambassador for Claude in molecular design, from small settings to large conferences. You Might Be a Good Fit If You Have Hands-on experience applying protein or small-molecule design to real drug development programs, in an AI-first biotech, pharma, a rare-disease non-profit, a research institute, or a translational academic design lab. Experience with molecular dynamics (system prep, trajectory analysis) or large-scale antibody/immune-repertoire data, and with closing the loop against experimental results from a partner lab. Hands-on use of modern design and structure tools (e.g. AlphaFold, RFdiffusion, ProteinMPNN, Rosetta) to solve design problems, not only to build new models. Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure its performance. Deep understanding on how to quantitatively measure success in drug design, experimentally and computationally. A scientist's instinct for understanding how AI can, and cannot, facilitate protein research and design Experience working directly with external customers or partners in a technical role. Clear written and verbal communication: docs partners can use without you, and talks that earn researchers' trust. A scrappy mentality: comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Legal Tech engineers play a specialized and critical role in keeping Claude at the frontier. Partnering closely with counsel, we provide custom infrastructure and guidance for complex, novel technical matters, empowering teams across the company to continue meeting our legal obligations as we innovate. As a Senior+ Software Engineer on our Legal Tech team, you'll build dedicated, highly secure, and reliable cloud environments and data processing and storage capabilities at speed and scale. You will own your scope end to end: from raw requirements all the way through to large-scale production systems that satisfy legal invariants and unlock new possibilities. The systems you build won't just be dependable and scalable; they'll be interpretable and auditable, demonstrating to skeptical audiences exactly how they worked and why results can be trusted. You'll be an essential member of a collaborative team, working together to solve difficult problems against fixed deadlines. You will own internal customer relationships as well: you'll gather, prioritize, and coordinate needs from colleagues on Privacy, Security, Research, and/or Infra as well as Legal, to ship the right capabilities on the right timelines. You'll act as a trusted advisor: clearly explaining technical concepts and constraints to inform legal decisions, and proactively designing new approaches to prevent classes of problems. Your infrastructure expertise will directly empower our business to calibrate and manage risk, innovating faster thanks to systems that build in legal considerations. Key responsibilities Build and operate dedicated cloud infrastructure, storage, and data pipelines for specialized workloads that can't run on general-purpose systems Design architectures with excellent security, privacy, reliability, scalability, and auditability baked in Partner with a wide range of internal customer teams to translate requirements into sound approaches and realistic ETAs Deliver against fixed deadlines Support complex and novel legal requests on controlled infrastructure, with verifiable chain of custody Pair with engineering teams across the company to extend existing infrastructure to support new workflows and/or legal requests Work with nontechnical stakeholders to clarify their needs through responsive, easy-to-follow dialogue Minimum qualifications Experience designing, building, and operating highly trusted infrastructure and data systems in production, including owning architectural decisions Experience working across large, complex, multi-team environments, including in stacks and code you don't own Ability to take ownership of a cloud account and secure it end to end (networking, storage, identity, encryption, least-privilege provisioning, etc.) on AWS and/or GCP Ability to translate legal and privacy requirements into sound technical designs and implementations that teams are excited to adopt A habit of verifying rather than assuming: designing checks for invariants and plainly naming what isn't proved Self-directed in a high-change environment, and comfortable resequencing quickly when new needs emerge Clear communication with nontechnical stakeholders, and an understanding of their needs Preferred qualifications Software engineering experience with an infrastructure, data, privacy, and/or security focus Proficiency with large-scale data tooling, such as distributed processing, lakehouse table formats, and/or query engines Understanding of data processing pipelines, LLM training, and/or provenance and lineage Experience with secure enclaves, confidential computing, clean rooms, or other purpose-built environments for sensitive data Background in eDiscovery, litigation support, or records retention at scale, including chain of custody and verifiable integrity 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: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a State and Local Affairs Lead to engage with state and local governments in the Western United States, advancing AI policy, legislation, and regulation that supports Anthropic's mission of ensuring that the world safely makes the transition through transformative AI. In this role, you will report to Anthropic's Head of Western State and Local Affairs and coordinate with our Policy leadership, Communications, and Legal teams. You will own Anthropic's relationships and legislative and regulatory work across many Western states, including a support role in California  —engagement with state legislatures, governors' offices, attorneys general, state agencies, and local governments. You will travel regularly across the region. Successful candidates will demonstrate a track record of political strategy and execution—with specific examples of how you have contributed to complex policy campaigns, built durable relationships with elected officials and community leaders, supported legislative and regulatory outcomes, and executed with accountability and focus in fast-moving environments. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about safe development of AI systems, and build partnership with governments through proactive, opinionated, substantive policy conversations. We recognize that our approach to AI policy is distinctive—grounded in honest assessment of technological trajectories and authentic concern for safe scaling—and we need a regional lead who can bring that positioning to life at the state and local level. This role offers an opportunity to be part of building a high-impact state affairs operation at a critical moment for AI policy. You will be responsible for executing on strategic priorities across your region, building relationships with government stakeholders, and contributing to the broader state affairs function. Key responsibilities Serve as Anthropic's lead for state and local government affairs across many Western states, working in close coordination with the Head of Western States and other Regional State and Local Affairs Leads Build and maintain relationships with state legislators, legislative staff, governors' offices, attorneys general, and state agency leaders across your region Engage directly with local officials whose decisions affect Anthropic's work—mayors, city councils, county commissions, and economic development boards Track state and local legislation and regulatory proceedings affecting AI and the technology sector, provide analysis and intelligence to inform company strategy, and represent Anthropic's positions Build durable partnerships with local and regional organizations, including chambers of commerce, economic development groups, labor organizations, universities, and school districts Represent Anthropic at legislative hearings, regional events, and public forums, including with audiences who are skeptical of AI Work with the Communications team to develop clear, accurate messaging for regional policy campaigns Translate Anthropic's technical research and policy positions into engagement strategies tailored to Western state political environments Manage the outside advisors and registered lobbyists who support Anthropic's work in your region Coordinate with Anthropic's policy, communications, legal, and executive teams to ensure that regional activity aligns with company-wide positioning Minimum qualifications Align with our mission and embrace the imperative of policy impact and change Have experience in state and local government affairs, political strategy, or legislative roles, with demonstrated success contributing to legislative and regulatory outcomes Have existing relationships with state and local leaders in the West, including legislators, governors' offices, attorneys general, or county and municipal officials Understand how state legislatures and executive branches work—committee processes, legislative and regulatory procedures, and how to move policy forward—and understand where local authority begins and ends Have a track record of executing on strategic objectives and delivering measurable outcomes in government affairs roles Are prepared to travel regularly across the region Preferred qualifications Have 8+ years of experience in state and local government affairs, political strategy, or legislative roles Have experience building partnerships with external organizations including chambers of commerce, economic development groups, labor organizations, and universities Have exposure to technology policy or emerging technology regulation; you understand the unique challenges of navigating policy for rapidly evolving technologies Demonstrate understanding of how to build coalitions and identify aligned constituencies to advance shared objectives Can manage multiple priorities and stakeholder relationships across different states and adapt to different political environments Can work well under time pressure and manage competing demands Can translate complex technical topics into clear, accessible language for policymakers and residents alike Have experience working with communications teams to develop effective messaging for policy campaigns Are comfortable being honest about tradeoffs, including in rooms where people disagree with us Are drawn to working with an organization that approaches AI policy with intensity and intellectual honesty The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $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: Bengaluru, India We are looking for a lead-level Accessibility QA Engineer who still tests hands-on. You will guide engineering on accessible implementation, run knowledge sessions for engineering and product, and write an accessibility plan for a platform. The plan states the testing the platform needs and the support and budget it does not yet have. Quality engineering uses that plan to request both. You will audit against WCAG 2.2, targeting AA, with awareness of AAA where relevant, and you need working knowledge of WCAG 2.1 and 2.2 at A and AA. Audits use screen readers, keyboard-only navigation, and automated scanners. You will own the accessibility testing process, from test plans, severity, regression, and sign-off through CI gates, remediation guidance, and stakeholder reporting. An accessibility certification is not required. You will manage and mentor the accessibility QA team, and report conformance and regulatory risk in writing that both engineers and legal or compliance staff can use. This position is intended for Hyderabad-based candidates who are available to work from the office. Our client delivers web and mobile products that must meet US and European accessibility requirements. Accessibility is managed continuously through early acceptance criteria, automated checks, hands-on testing with assistive technology, remediation, and conformance reporting. Conduct accessibility audits and risk assessments against WCAG 2.2 Level A and AA, with awareness of relevant Level AAA criteria. Test semantic HTML, WAI-ARIA, keyboard interaction, screen-reader behavior, native mobile applications, the DOM, and the accessibility tree. Create and review test plans, test cases, and automated accessibility tests using axe-core with Playwright, Cypress, Selenium, or comparable frameworks. Write platform accessibility plans and maintain the testing process, including priorities, definition of done, regression, release-readiness, approved exceptions, risk acceptance, and remediation tracking. Shift accessibility left with product, design, and engineering through accessible components, early acceptance criteria, pull-request checks, automated scanners, and CI/CD gates. Track conformance, maintain Accessibility Conformance Reports using the appropriate VPAT template, evaluate vendor accessibility claims, and communicate regulatory risk. Establish accessibility quality metrics, dashboards, and stakeholder reporting. Apply AI-assisted testing and reporting tools with human verification of generated results. Lead, mentor, and develop the accessibility QA team through planning, coaching, review, and calibration. Train product, design, engineering, and QA teams, and provide actionable remediation guidance through validation. Produce technical findings, defect reports, and stakeholder communications for engineering, business, and Legal and Compliance audiences. Lead-level accessibility experience, including hands-on testing and building or operating an accessibility testing process. Deep knowledge of WCAG 2.2 testing and conformance, plus US and European requirements including the ADA, Section 508, EN 301 549, and the EAA. Practical fluency in WAI-ARIA 1.2, ARIA Authoring Practices, semantic HTML, CSS, accessible names, and expected keyboard interactions. Proficiency with NVDA, JAWS, VoiceOver, TalkBack, keyboard-only testing, native mobile accessibility, and DOM and accessibility-tree inspection. Experience conducting accessibility audits and risk assessments for web and mobile products. Experience creating test assets and automated accessibility tests using axe-core with Playwright, Cypress, Selenium, or comparable frameworks. Experience selecting automated scanners and integrating accessibility into design reviews, pull requests, and CI/CD. Experience writing accessibility plans and defining testing scope, priorities, quality gates, exceptions, and remediation tracking. Experience authoring and reviewing Accessibility Conformance Reports, selecting the appropriate VPAT template, and evaluating vendor accessibility claims. Experience defining accessibility metrics and using AI-assisted tools with appropriate human verification. Experience leading and training QA or accessibility teams and working with product, design, and engineering. Ability to explain user impact and provide actionable remediation guidance through implementation and validation. Strong written communication for engineering, business, and Legal and Compliance audiences. IAAP certification such as CPACC, WAS, or CPWA, or Section 508 Trusted Tester certification. PDF and document accessibility experience, including tagged PDF structure and the PAC tool. Knowledge of cognitive and low-vision accessibility. Experience contributing to or auditing an accessible design system. Experience with accessibility maturity models.

Location: Almaty, Kazakhstan; Astana, Kazakhstan; Belgrade, Serbia; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Monterrey, Mexico; Montevideo, Uruguay; Odesa, Ukraine; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.BG, Bulgaria; Remote.CO, Colombia; Remote.GE, Georgia; Remote.KZ, Kazakhstan; Remote.PL, Poland; Riga, Latvia; Rosario, Remote.LATAM-country; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia We are looking for a very senior hands-on Data Engineer with strong SAP BW and Snowflake experience who has led engineering teams. About 70% of the engineering work is extracting data from SAP BW and integrating it into Snowflake. You will work side by side with a recently appointed Engineering Manager who comes from a non-engineering background, helping them build engineering leadership skills. Together you will grow the team toward independent, high-performing delivery: operating model, engineering practices, standards and delivery discipline. The goal is for the client's team to run independently within about a year. You will get there through coaching-by-doing and knowledge transfer rather than long-term vendor dependency. The client is headquartered in Southern California, USA. Working on site for the first 4–6 weeks is mandatory for this role, to build trust and work directly with the Engineering Manager and the team. After that, you will be on site a few days a week during the following weeks. A valid US visa, or the ability to obtain one quickly, is required. The project supports a large international consumer goods company that is scaling its Snowflake-based data platform. Selected datasets are moved from SAP BW into Snowflake one business case at a time. They feed data products for sales and distribution, retail and market analytics, and e-commerce. The platform is already critical to the business: hundreds of business users work every day with AI-powered analytics built on Snowflake Cortex and Streamlit. Design, build and run data pipelines from SAP BW into Snowflake, including full and delta loads Do hands-on engineering work while coaching the Engineering Manager and the team Help the Engineering Manager build engineering leadership skills: planning, code quality, technical decision-making, managing engineers and contractors Establish reusable ingestion, modeling and data quality patterns for the team Define and roll out engineering standards: code review, testing, CI/CD, documentation, delivery discipline Deliver data products for sales, distribution and retail analytics in close collaboration with business stakeholders Work with a distributed team of internal engineers and external contractors across time zones Reduce key-person dependency through knowledge transfer and pairing Help introduce AI-assisted and agentic engineering practices across the development lifecycle Work with the Lead Architect to keep delivery aligned with target architecture and governance 7+ years of hands on data engineering experience including lead roles Hands on experience extracting data from SAP BW into a cloud data warehouse Strong hands on experience with Snowflake including data loading performance cost awareness security and access model Experience with data modeling approaches such as dimensional modeling or Data Vault Experience with data quality practices Experience with dbt Experience leading a team of around 10 engineers Experience coaching a manager or team lead into an engineering leadership role through hands on collaboration Experience working with distributed teams and external contractors or vendors Experience applying AI in engineering or data work with a concrete example of problem solution tools and outcome English Upper Intermediate or higher Readiness to work on site in Southern California for 4–6 weeks at the start of the engagement Experience with SAP BW/4HANA, SAP Datasphere or migrations from SAP to cloud platforms Snowflake Cortex, Streamlit or semantic layer experience CPG, retail or distribution domain; retailer data platforms or syndicated market data (POS, Nielsen-type datasets) Experience building an engineering operating model or data engineering maturity roadmap Exposure to Microsoft Fabric or Databricks Experience with international client-facing engagements

Location: Lagos, Nigeria What You Will Do Lead requirements gathering sessions with business and product stakeholders to understand business needs and objectives. Translate high-level business requirements into detailed functional and non-functional specifications. Analyze existing systems, processes, and workflows to identify opportunities for improvement and optimization. Design and document business processes, use cases, user stories, workflows, process maps, and system interactions. Develop solution proposals that balance business goals, customer experience, technical feasibility, scalability, and maintainability. Collaborate with Product Managers to refine requirements and define deliverable scope. Partner with Engineering teams to validate solution designs and ensure technical alignment before development begins. Identify edge cases, dependencies, technical risks, and implementation constraints early in the delivery lifecycle. Define and document APIs, integration requirements, data flows, and system interactions where required. Ensure solutions consider security, performance, scalability, reliability, and compliance requirements. Support engineering teams throughout development by clarifying requirements and resolving ambiguities. Facilitate communication between business and technical stakeholders to drive alignment and delivery success. Participate in sprint planning, backlog refinement, solution reviews, and release planning activities. Work closely with QA teams to ensure requirements are testable and acceptance criteria are clearly defined. Review implemented solutions to ensure they meet business expectations and documented requirements. Drive continuous improvements in analysis, documentation, and delivery processes. Requirements What You Bring Educational Qualification Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, Business Information Systems, or a related discipline. Master's degree is an added advantage. Professional Certifications Certified Business Analysis Professional (CBAP) is an advantage. PMI Professional in Business Analysis (PMI-PBA) is desirable. Agile, Scrum, or Product-related certifications are an added advantage. System Design, Solution Architecture, or Technology-related certifications are beneficial. Experience Minimum of 5-8 years of experience in Systems Analysis, Business Analysis, Product Delivery, Solution Design, or related technology roles. At least 3 years working within software development environments using Agile methodologies. Experience within fintech, banking, financial services, or other high-growth technology-driven organizations. Hands-on experience documenting functional requirements, system specifications, workflows, and integrations. Experience collaborating directly with Engineering, Product, Architecture, and QA teams throughout the product development lifecycle. Benefits Opportunity to shape the future of fintech in Nigeria by helping deliver products that impact millions of customers. Ownership of solution design and requirement definition for high-impact digital initiatives. Exposure to modern technology platforms, product development practices, and innovative financial services solutions. Opportunity to work closely with Product, Engineering, Design, Data, and Executive Leadership teams. Continuous learning, mentorship, and professional development opportunities. Competitive compensation and the opportunity to solve challenging business and technology problems. A fast-paced, collaborative, and inclusive work environment where innovation is encouraged and growth is a priority. Competitive compensation.

Location: Spain; Portugal; Malta; Serbia; Poland; Dubai, United Arab Emirates We are looking for a Senior Litigation Counsel with experience in IT / Fintech / banking for the legal team. Responsibilities: Lead commercial litigation, international arbitration, and financial recovery cases across jurisdictions (UAE, UK, EU, HK, etc.); Handle cases end-to-end: legal research, drafting, discovery, trial preparation, settlement negotiations, and coordination with local counsel; Develop litigation strategies, prepare legal memoranda, and maintain case documentation and knowledge bases. Requirements 7+ years of litigation / dispute resolution experience in a law firm or in-house (IT / fintech); Law degree and active admission to practice; Fluent Russian and English, both written and spoken; Strong knowledge of civil procedure and evidence rules; Excellent legal research, analytical and drafting skills; Experience with e-discovery, legal databases, Google Workspace, Notion and LLMs; Strong organizational and communication skills. Nice to have: strong knowledge of UK Common Law (UK Law Solicitor qualification is an advantage, or willingness to obtain it), commercial litigation, ADR experience; flexibility for extended hours and willingness to travel. Benefits Fully remote work from anywhere; Professional growth and competitive compensation; International team and access to global offices; Flexible schedule; 40 paid days off.

Задачи: — Собирать, анализировать, описывать и моделировать бизнес-процессы финансово-хозяйственной деятельности в состояниях AS IS / TO BE; — Проводить встречи и интервью с пользователями, выявлять и формализовывать их потребности; — Формировать и согласовывать бизнес-требования с пользователями, экспертами и смежными подразделениями; — Анализировать существующие процессы, выявлять возможности для их оптимизации, снижения рисков и затрат, сокращения времени выполнения операций; — Предлагать и обосновывать варианты изменения бизнес-процессов и программных решений; — Разрабатывать функциональные и нефункциональные требования к информационным системам; — Описывать пользовательские сценарии и требования в формате User Stories / Use Cases; — Определять точки интеграции информационных систем и участвовать в первичном сборе документации для анализа интеграционного взаимодействия; — Разрабатывать макеты пользовательских интерфейсов UI/UX; — Участвовать в тестировании и приемке нового функционала; — Выявлять и оценивать потенциальные риски при внесении изменений в информационные системы; — Актуализировать документацию по информационным системам и бизнес-процессам; — Разрабатывать материалы и проводить обучение пользователей; — Координировать работу бизнес-аналитиков команды, участвовать в расстановке приоритетов и оптимизации рабочих процессов. Требования: — Знание основ бухгалтерского учета и понимание финансово-хозяйственных процессов; — Опыт разработки и формализации бизнес-требований; — Умение описывать бизнес-процессы в состояниях AS IS / TO BE; — Практический опыт выявления и формулирования требований в формате User Stories; — Знание нотации BPMN и опыт моделирования бизнес-процессов; — Опыт разработки UI/UX-макетов; — Понимание принципов перехода от бизнес-требований к функциональным требованиям; — Опыт описания функциональных требований в формате Use Cases; — Навыки определения точек интеграции и анализа интеграционного взаимодействия; — Опыт выявления и документирования нефункциональных требований; — Знание UML для описания процессов, состояний и взаимодействий; — Умение работать с большим объемом информации, структурировать требования и доводить их до согласованного результата. Будет плюсом: — Опыт работы с корпоративными информационными системами; — Опыт участия в проектах по автоматизации финансово-хозяйственной деятельности; — Опыт координации работы других бизнес-аналитиков; — Опыт подготовки пользовательской документации и проведения обучения. Условия: — Удаленный формат работы по РФ; — Белая заработная плата, оформление согласно Трудовому кодексу РФ; — Поддержка: IT-отсрочка и консультации HR/юристов; — Прозрачные процессы и открытую коммуникацию; — Работу на лучшем оборудовании без логирования времени, с фокусом на доверии и результате; — Личный бренд: возможность выступать на конференциях, митапах, публикация статей; — Бенефиты: ежеквартальное обновление корпоративных скидок; — Движ: организация вечеринок оффлайн и онлайн, предоставление мерча, проведение конкурсов и челленджей.

Задачи: — участвовать в разработке новых и доработке существующих функциональных блоков региональной информационной системы обязательного медицинского страхования (ОМС) — интервьюировать заинтересованных участников (внутренних и внешних), собирать требования к разрабатываемому решению — разрабатывать концепции, включающие план мероприятий, необходимых для решения проблем предметной области — разрабатывать спецификации требований, включающие описание выявленных проблем и решений, бизнес-правил и ограничений, целевых бизнес-процессов (ToBe), алгоритмов бизнес-функций и данных — согласовывать разработанную документацию с функциональными заказчиками, системными аналитиками, командой ui/ux — участвовать в тестировании разработанных решений, проводить бизнес-приемку — интерпретировать требования, разъяснять их командам разработки — проводить тестирование реализованной функциональности на соответствие требованиям — вести базу знаний проекта в confluence — участвовать в опытно-промышленной эксплуатации аналитической системы — фиксировать в jira результаты своей работы, поддерживать актуальность jira в рамках своей зоны ответственности Требования: — опыт работы в роли аналитика от 3 лет — знание нотаций uml, bpmn (use case, class diagram) — умение писать техническую документацию (описания бизнес-процессов и алгоритмов, спецификации требований) — умение определять подходы и способы реализации требований совместно с архитектурной командой — опыт работы с jira и confluence (или аналогами) — базовое понимание ui/ux и умение формулировать требования к интерфейсам для дизайнеров — знание sql на уровне чтения и составления простых запросов — умение выявлять реальные потребности заказчика за рамками формальной заявки Условия: — официальное трудоустройство в аккредитованную ИТ-компанию — график работы 5/2 — ежегодное премирование по результатам работы — материальная помощь в случае важных событий в жизни — корпоративное обучение и доступ к онлайн-библиотеке — скидки от партнеров на ДМС, связь, развлечения, подарки, спорт и т.д. — корпоративные тренировки и спортивные активности - бег, футбол, волейбол, баскетбол, теннис и другие

Location: US - Remote; San Francisco, CA; New York, NY; Washington, D.C. Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE PUBLIC SECTOR TEAM - Sierra recently received FedRAMP High https://sierra.ai/blog/certified-fedramp-high certification and were awarded our first contract with a federal agency. We’re now building our founding public sector team to redefine the relationship between the government and its citizenry. - Today, our agents already enable citizens to access social services, report fraud, and understand complex government systems. Simultaneously, they empower government officials to better hear the concerns and inquiries of their constituencies. - We are explicitly nonpartisan and committed to empowering public servants to leverage AI to advance their important missions. - In our journey, we are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. WHAT YOU'LL DO - Build and lead Sierra’s public sector sales team: Recruit, develop, and lead a team of account executives serving strategic federal, state, or local government accounts. Set clear expectations, coach for performance, and build a culture of customer obsession, accountability, and consistent execution. - Own revenue growth and territory strategy: Translate Sierra’s public sector ambitions into territory coverage, account priorities, pipeline goals, and revenue plans. Allocate resources thoughtfully, maintain rigorous forecasts, and drive the team to consistently achieve or exceed revenue targets. - Create opportunities around mission outcomes: Build executive relationships with agency leaders and help your team translate priorities such as constituent access, service delivery, workforce effectiveness, and program integrity into compelling AI agent opportunities. Serve as an executive sponsor for strategic accounts. - Guide complex sales cycles from discovery through award: Coach account executives through long, multi-stakeholder government buying processes and engage directly at critical moments. Mobilize cross-functional support for executive alignment, solution development, business cases, security and legal reviews, pricing, proposal strategy, negotiation, and close. - Shape acquisition and capture strategy: Ensure every priority opportunity has a credible path to contract and a disciplined capture plan. Help the team navigate funding, fiscal-year timing, competitive dynamics, and procurement pathways—including GSA schedules, GWACs, IDIQs, BPAs, state schedules, and cooperative purchasing agreements. Lead deal reviews that surface risks early and turn strategy into clear next steps. - Scale Sierra’s partner ecosystem: Partner with public sector and partnerships leadership to build productive relationships with prime contractors, systems integrators, resellers, distributors, small-business partners, and technology providers. Guide decisions about direct sales, subcontracting, teaming, and partner-led transactions to expand customer access and accelerate growth. - Lead strategic prime and teaming relationships: Establish executive alignment with key partners and help shape account ownership, deal registration, workshare, and joint go-to-market plans. Ensure partnerships bring meaningful customer access, past performance, implementation capacity, or procurement pathways—and translate into qualified pipeline and successful delivery. - Drive disciplined pursuit and proposal decisions: Partner with the Public Sector GM on bid/no-bid recommendations and prioritize resources across strategic pursuits. Align sales, legal, security, product, engineering, and delivery teams to produce procurement responses that are compliant, differentiated, and precise. - Stay accountable for customer success: Build trust with senior agency leaders, establish strong handoffs from sales to delivery, and remain engaged through deployment and expansion. Help resolve escalations and ensure commitments made during the sales process support lasting customer relationships. - Build a repeatable public sector go-to-market motion: Work with public sector leadership to refine account segmentation, hiring and capacity plans, capture processes, partner strategy, contract-vehicle priorities, and sales playbooks. Bring market signals and customer feedback to product and company leadership to shape Sierra’s platform and public sector strategy. - Lead an AI-native sales organization: Embed AI into how the team researches accounts, develops outreach, synthesizes calls, plans opportunities, creates proposals, and forecasts. Model effective use, share successful practices, and help account executives spend more time on judgment, strategy, and customer relationships. WHAT YOU'LL BRING - 15+ years of selling experience: Extensive experience in enterprise customer-facing sales role, specifically selling to the U.S. government. - People leadership experience: 10+ years managing, mentoring, and developing a high-performing enterprise sales team. - Enterprise experience: You've run and managed end-to-end complex deals ($1M+). - Strong fluency in government acquisition and procurement, including funding and budget cycles, competitive solicitations, proposal processes, task orders, and common Federal or state contract vehicles. - Experience developing and executing capture strategies before a solicitation is released—not simply responding once an RFP is public. - A strong network and demonstrated ability to work with government technology partners, including prime contractors, systems integrators, resellers, distributors, and small-business teaming partners. - Sound judgment about direct, channel, prime/subcontractor, and teaming models, with the ability to select and execute the right path for a particular agency and opportunity. - The ability to build credibility with agency executives, program leaders, contracting and procurement officials, security teams, and technical stakeholders—and to align those groups around a shared path forward. - Excellent executive communication, negotiation, account planning, and forecasting skills. You are rigorous about details, procurement milestones, and next steps. - A passion for public sector work and a belief in the potential of government institutions to improve outcomes for the people they serve. - Comfort operating with high ownership in an early-stage business: you create structure where it does not yet exist, move with urgency, and collaborate deeply across functions. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Remote Workplace: remote The Workday Systems Analyst – Finance supports the design, configuration, delivery, and ongoing management of Workday Financials and related finance applications. This role partners with Finance stakeholders to translate business needs into practical system solutions, improve business processes, and maintain reliable reporting and integrations. The analyst provides production support and contributes to projects that improve the efficiency, accuracy, and scalability of Finance operations. Responsibilities: Support Workday Financials and related finance applications, including financial management, procurement, reporting, and connected business processes. Partner with Finance stakeholders to gather, analyze, and document business needs, requirements, and functional specifications. Evaluate current processes and workflows, identify gaps and inefficiencies, and recommend improvements that support Finance priorities. Configure and maintain Workday business processes, security-related requirements, reports, calculated fields, and other functional components within the role’s scope. Support integrations and data flows between Workday and adjacent finance applications; coordinate with technical teams when issues require deeper integration or engineering support. Provide day-to-day production support, troubleshoot system issues, communicate resolutions, and escalate risks or defects appropriately. Create, maintain, and improve scheduled and ad hoc reports using appropriate Workday reporting tools. Partner with Finance and Technology Services teams to validate data accuracy, investigate reporting discrepancies, and improve data visibility. Develop test plans, test cases, and acceptance criteria; execute or coordinate testing for configuration changes, integrations, reports, and system releases. Support project planning and delivery for Finance systems initiatives, including requirements, process design, testing, documentation, and implementation activities. Stay current on Workday releases, product capabilities, and relevant finance systems practices; identify opportunities to use new functionality to improve business processes. Create and maintain functional documentation, procedures, job aids, and support materials. Build effective working relationships with Finance, Accounting, Procurement, FP&A, and other cross-functional partners. Required Qualifications: Minimum of 5 years of experience supporting Finance organizations, Finance systems, business applications, or a related area. At least 2-4 years of hands-on experience with Workday Financials or comparable ERP finance modules. Working knowledge of Finance processes, procedures, and policies, with the ability to translate business requirements into system solutions. Experience with requirements gathering, process analysis, gap analysis, functional design, system configuration, testing, reporting, and documentation. Experience troubleshooting system issues and communicating clear, actionable resolutions to business stakeholders. Strong analytical, problem-solving, organizational, and customer-service skills. Strong written and verbal communication skills, including the ability to facilitate discussions with technical and non-technical stakeholders. Ability to manage multiple priorities, work independently, meet deadlines, and adapt effectively to change. Preferred Qualifications: Experience with Workday procurement, expenses, accounting, reporting, or related Finance functionality. Experience supporting integrations or data flows between Workday and adjacent finance applications. Experience with Workday reporting, business processes, calculated fields, and data validation. Experience working in a healthcare, technology, or other complex operating environment. Experience supporting enterprise software releases, implementations, or continuous improvement initiatives. Physical / Cognitive Requirements: Physical Requirements: Stamina, strength, mobility, manual dexterity, vision, hearing, environmental factors. Ability to effectively communicate and engage with others, with accommodations available for visual or auditory impairments Ability to handle physical tasks related to the job, with accommodations provided as needed. Ability to respond effectively to changing situations, with accommodations available for varying response times. Prompt and regular attendance at assigned work location. Ability to remain seated in a stationary position for prolonged periods. Requires eye-hand coordination and manual dexterity sufficient to operate keyboard, computer and other office-related equipment. No heavy lifting is expected, though occasional exertion of about 20 lbs. of force (e.g., lifting a computer / laptop) may be required. Cognitive Requirements: Problem-solving, decision-making, attention to detail, critical thinking, communication skills, stress tolerance. Facilitate communication and collaboration with clients and stakeholders. Adaptability to different work environments, with support provided for managing workload and pace Ability to maintain focus and attention on tasks, with accommodations available for individuals with attention-related conditions. The base salary range for this full-time position is $116,050 - $127,000 per year in the United States. This posted range reflects the portion of our internal salary band that is currently funded for new hires in this role across our standard labor markets (Zones A–C).  For context, these markets include Zone A (e.g., Phoenix AZ, San Antonio TX, Columbus OH, Charlotte NC), Zone B (e.g., Chicago IL, Denver CO, San Diego CA, Houston TX), and Zone C (e.g., Los Angeles CA, Seattle WA, Washington, D.C., Boston MA). At this time, we are not budgeting for hires in higher-cost Zone D markets (e.g., San Francisco Bay Area CA, New York City NY, San Jose CA) for this role. Within this range, individual pay is determined by work location, skills, experience, and internal equity. We use structured salary bands and geographic zones based on cost of labor to keep pay fair and consistent. In addition to receiving a great compensation package, the compensation package may include, depending on the role, the following and more: Remote-first culture 401(k) savings plan through Fidelity Comprehensive medical, vision, and dental coverage through multiple medical plan options (including disability insurance) Paid Time Off ("PTO") and Discretionary Time Off (“DTO") 12 weeks of 100% Paid Parental leave Family Building & Compassionate Leave: Fertility coverage, $25,000 for surrogacy/adoption, and paid leave for failed treatments, adoption or pregnancies. Work-From-Home reimbursement to support team collaboration home office work Your recruiter will share more about the salary range and benefits package for your role during the hiring process. About Included Health Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com. ----- Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants with arrest or conviction records in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, and California law.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained. This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job. Key responsibilities Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture Minimum qualifications Proficiency in Python and SQL Experience training machine learning models and deploying them to production Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow) Working understanding of point-in-time correctness and training / serving skew, and how to prevent both Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders Preferred qualifications Experience building or operating a feature platform such as Chronon, Feast, or Tecton Experience with stream processing engines such as Flink, Beam / Dataflow, or Kafka Streams Experience training ML models in a production setting with demanding serving requirements, such as fraud, risk, or ranking Experience with tree-based models on tabular data Experience building unsupervised, clustering-based or graph-based detection systems to surface coordinated account abuse Experience in integrity, spam, fraud, or abuse detection Experience working with scarce, delayed, or noisy labels Experience with AutoML or other approaches to automating the ML workflow Care about the societal impacts of AI and want your work to make powerful systems safer 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: Remote (San Francisco, California, United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role Join our rapidly growing Sales team where you will play an important role at one of the fastest growing companies in the Developer Security space. As an Enterprise Account Executive, you will be responsible for helping some of our largest clients and prospects to evaluate, purchase, and expand their usage of Tailscale as a solution to their company’s evolving networking, security, and compliance objectives. You will partner closely with the Solutions Engineering team, as well as collaborate with the Customer Success, Support, Marketing, and Product teams. We're an energetic company with a wide variety of backgrounds. We coach each other, share feedback, and collaborate to maximize our performance and earning potential, all the while aligning with our customers' needs. We are one of the fastest-growing VC-backed Dev Tool companies and are looking for folks to help us get to our next stage of growth. You will join a team helping define the future of secure connectivity and modern networking. Tailscale's product-led growth has created significant enterprise demand from organizations looking to simplify network access, strengthen security, and accelerate developer productivity. As an Enterprise Account Executive, you will work with some of the world's most sophisticated technology organizations to help them modernize legacy networking and security infrastructure. We are looking for enterprise sellers who know how to create opportunities, not just manage them. You are comfortable building executive relationships, navigating complex organizations, and earning credibility with both technical and business stakeholders. You understand how to translate technical capabilities into measurable business outcomes and can lead customers through transformational technology decisions. Key Responsibilities Own and grow a territory of enterprise organizations, driving both net-new customer acquisition and expansion opportunities Proactively self-source pipeline through outbound prospecting activities, including cold outreach, strategic account targeting and networking. Take ownership of the full sales cycle from lead to close Develop strategic account plans that identify key stakeholders, organizational priorities, technical initiatives, and expansion paths across the account Build relationships with Security, Infrastructure, Engineering, Compliance, and Executive stakeholders to drive alignment and consensus throughout the buying process Navigate complex enterprise sales cycles involving multiple decision-makers, procurement processes, security reviews, and legal negotiations Position Tailscale as a strategic platform for secure connectivity and modern network access by helping customers understand both the technical and business value of the solution Lead cross-functional account teams consisting of Sales Engineering, Customer Success, Product, Marketing, and Support to deliver exceptional customer outcomes Drive adoption beyond the initial deployment by identifying opportunities for broader organizational usage and long-term account growth What We Are Looking For 5+ years of closing experience in a sales role Demonstrated success selling infrastructure, networking, cybersecurity, cloud, developer tools, or other highly technical software solutions Proven track record of consistently meeting or exceeding quota in an enterprise sales environment Experience managing complex, multi-stakeholder sales processes involving technical and executive buyers Ability to engage credibly with both technical practitioners and senior business leaders Experience collaborating and working with a Sales Engineer on sales cycles Strong account planning, discovery, and business case development skills Experience closing six-figure enterprise opportunities is strongly preferred Experience using Gong, or similar, to collaborate internally and manage pipeline Location: Remote, but based in or near San Francisco as it supports customers and requires occasional travel/commute within the assigned region. What Success Looks Like Consistently exceed quota through a combination of self-generated pipeline, new customer acquisition, and account expansion Establish trusted advisor relationships with Security, Infrastructure, and Engineering leaders Successfully drive adoption from initial deployment to broader organizational standardization Build a predictable pipeline through disciplined prospecting and strategic account development As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. For this position, our pay ranges reflect target OTE (on target earnings), inclusive of base salary and variable compensation tied to the attainment of quarterly sales targets. US Pay Range (OTE) $250,000 — $300,000 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Remote; Seattle, WA; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Runway is looking for a Marketing Manager to help build and scale high-impact marketing programs across our creator, partner, sponsorship, and growth ecosystem. This is a generalist marketing role for someone who can move fluidly between strategy and execution. Some immediate areas of focus include influencer creator partnerships, sponsorships, and partnership marketing. The right person is commercially minded, highly organized, creative, and comfortable operating in ambiguity. We are looking for someone who can build repeatable programs, manage relationships, and execute campaigns to turn marketing ideas into measurable growth. WHAT YOU’LL DO - You will own and support marketing programs that help Runway reach priority audiences, grow demand, and deepen our presence among our target audiences. - In the near term, this will include managing creator and influencer partnerships including affiliates, evaluating sponsorship opportunities, and building co-marketing programs with customers, technology partners, model providers, vendors, and ecosystem partners. - You will work across the full program lifecycle: identifying opportunities, developing briefs, managing outreach, coordinating execution, tracking performance, and recommending what to scale, change, or stop. - You will partner closely with growth, creative, comms, events, PMM, sales, business development, legal, and finance to make sure programs are clear, on-brand, operationally sound, and connected to business outcomes. WHAT WE’RE LOOKING FOR - We’re looking for a marketing generalist with strong executional judgment and enough strategic range to work across multiple types of programs for a range of B2C and B2B audiences. - Experience managing creator partnerships with a clear view of how long-form content performs differently from short-form and other social channels. - 4+ years of experience building marketing campaigns, influencer, affiliate, or growth programs from 0 to 1. - Experience managing external relationships: creators, sponsors, agencies, freelancers or vendors. - Experience writing briefs, managing timelines, coordinating stakeholders, and translating broad goals into concrete plans. - Strong taste, communication skills, and judgment around brand, audience fit, creator quality, partner value, business impact, and operational tradeoffs. - You should be comfortable with ambiguity and able to build from scratch. This role requires someone who can create structure where it does not yet exist, but without slowing the team down with unnecessary process. - You should care about measurement and be able to connect marketing programs to outcomes such as subscriptions, ARR, and enterprise pipeline influence. NICE TO HAVE - Experience in AI, SaaS, subscription products. - Experience creating partner-facing materials such as briefs, sponsorship packages, or co-marketing materials. - Familiarity with Runway, AI video, creator communities, internet culture, and the broader creative technology ecosystem. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Are curious about LLM serving; prior inference or ML experience is not required Thrive in cross-functional collaboration with both internal teams and external partners Have experience working with external partners to align goals and deliver impact Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments Solid understanding of multi-region deployments, geographic routing, and global traffic management Proficiency in Python or Rust 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 | 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 The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have a strong interest in LLM serving; prior inference or ML experience is not required Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Thrive in cross-functional collaboration with both internal teams and external partners Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications LLM inference optimization, batching, and caching strategies Capacity-constrained scheduling or shared-resource test infrastructure Solid understanding of multi-region deployments, request routing, load balancing, global traffic management Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service Proficiency in Python or Rust 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: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators and multiple cloud providers Maximize compute efficiency and optimize cost across the fleet by autoscaling and orchestrating production, research, and experimental workloads across multiple cloud providers Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Significant software engineering experience, particularly with distributed systems Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience with load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) Proficiency in Python or Rust Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers 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: North Carolina About Stepful: Stepful is a workforce platform redefining how America's largest health systems build, train, and retain their talent. Since our founding in 2021, Stepful’s trained over 32,000 practice-ready healthcare workers. Layering onto our successful direct-to-consumer training, Stepful partners with leading healthcare institutions to address the growing national shortage of healthcare workers. We’re improving access to quality healthcare for everyone, everywhere, and improving access to healthcare career ladders for those who need them most. Our students form the talent pipelines for major employers such as NY-Presbyterian, Mt. Sinai, HCA, Providence, CVS, and Walgreens. We have partnerships with half of the top 10 health systems in the US and are in process with many more. Stepful is backed by Y Combinator, Reach Capital, and AlleyCorp, with a recent $55M Series C led by Oak HC/FT https://www.stepful.com/post/stepful-announces-55m-series-c-to-scale-its-ai-powered-training-platform-across-the-healthcare-workforce. We were named the #1 EdTech company in the U.S. by TIME for 2025 https://www.stepful.com/post/stepful-named-1-edtech-company-in-us-top-10-globally-times-2025-list. Our values: We credit much of our success to our exceptional team. We’re looking for mission-driven builders who thrive in fast-paced, ambiguous environments, and embody our four core values: - Care first: We do whatever it takes for our students to succeed. - Learn quickly: We test, learn with data, and iterate. - Build together: We win when we rely on each other. - Own it: We show up, take initiative, and show pride. The opportunity: We are seeking a full-time Travel Clinical Educator, Surgical Technology to support Stepful’s Surgical Technology program across multiple locations around the United States. This role is responsible for delivering high-quality, hands-on skills instruction, supporting student remediation, and ensuring strong clinical and certification outcomes. In addition to teaching, the Clinical Educator will serve as a key on-site representative of Stepful, partnering with our clinical sites to support client onboarding and program implementation between 11-week cohorts. This role requires regular travel and close collaboration with both internal teams and external partners between cohorts. This full-time, travel-based role reports into the Program Director, Surgical Services. Stepful will cover reasonable travel expenses required for the role. This includes flights, transportation, and hotel accommodations. All travel-related expenses must be pre-approved by the employee’s manager and comply with the Company’s travel policy. What you’ll do: - Teach and facilitate skills labs and clinical instruction across assigned Stepful cohorts. - Demonstrate proper techniques, provide live step-by-step instruction, and supervise practice. - Assess student competency and provide feedback and remediation as needed. - Ensure students achieve mastery of skills before advancing to clinical rotations. - Coordinate with hospital preceptors to align experiences with program goals. - Document student progress and report clinical outcomes. - Represent Stepful on client and partner calls, supporting our solutions team with implementation. - Provide insights to enhance the student and partner experience. What you’ll bring: - Willingness to travel to multiple clinical sites around the United States (this is a travel-based role!) - Current Surgical Tech certification (CST or NCCT) - 3+ years of experience teaching Surgical Technology in a lab or school setting - Hands-on experience as a Surgical Technologist in the operating room - Strong written and oral communication skills - The ability to be hands-on, resourceful, and willing to do what it takes to get the job done and thrive in fast-paced, evolving environments - Current BLS certification Bonus points if you have: - CRCST certification and/or experience teaching Sterile Processing - Bachelor’s degree in a related healthcare field - Experience with competency-based education models - Experience supporting diverse and underserved student populations - Familiarity with NCCT certification requirements - Previous experience with online or hybrid education programs Interview Process: - Intro Call with Talent Team - Interview with Program Director - Case Study Assignment - Panel Interview + Live Teaching Demo - Final Interviews Benefits and Compensation: - Meaningful Equity Stake - Subsidized Medical, Dental, and Vision insurance plan options - 401(k) - FSA, HSA and commuter benefits - Learning stipend - Open vacation policy, including: - Guidance of 15 days PTO annually - Stepful closed the last week of December - 15 work-from-anywhere days - 10 public holidays observed for 2026 The target base salary range for this opportunity is $80,000 - $95,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, internal pay equity and other relevant business considerations. Stepful is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. -- In light of recent hiring scams, if you're selected to move onto the next phase of our hiring process, a member of our Talent Acquisition team will reach out to you directly from an @stepful.com email address to guide you through our interview process.