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Staff+ Software Engineer, Full-stack

Label Your Data·$405,000 – $485,000

Primary stack

ReactTypeScript

Job description

Staff+ Software Engineer, Full-stack

San Francisco, CA | New York City, NY | Seattle, WA

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.

You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.

We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.

Responsibilities

  • Platform Ecosystem: Identify and build for the next 10x markets starting with Life Sciences and Healthcare. Build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line.
  • Beneficial Deployments: Build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.
  • Vertical AI Products: Build purpose-built experiences for specific industries where Claude can transform complex professional work.
  • Enterprise AI Products: Understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.
  • Public Sector: Deliver Claude to the U.S. federal & state governments and allied democracies.
  • Enterprise Foundations: Build the systems large organizations require before they can adopt Claude at scale.
  • Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations.

Requirements

  • Minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level.
  • Led the design and delivery of complex, consumer or B2B user-facing products across the full stack.
  • Technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (i.e., React, Typescript).
  • Product-focused approach to building solutions that are robust, scalable, and easy to use.
  • Experience in early start-up or fast-moving, rapidly evolving environments.
  • Successfully driven cross-team/cross-org organizational alignment to get impactful work shipped.
  • Experience establishing engineering standards, component architectures, and development best practices.
  • Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products.

We Offer

  • Competitive salary range: $405,000-$485,000 USD.
  • Location preference for candidates based in NY, NJ, SEA, SF, or the Bay Area.
  • Visa sponsorship available.
  • Comprehensive benefits package, including equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space.

About the Company

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.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

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.

© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.

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