
Manager, Web Engineering
Primary stack
Job description
About the Position
We're hiring a Manager, Web Engineering to lead our web engineering team in building and running anthropic.com and claude.com.
About the Role
San Francisco, CA | New York City, NY
At Anthropic, our 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.
You'll manage a small, senior team of web engineers, owning the full stack behind our marketing web: CMS architecture, the publishing pipeline, the design system in code, and the campaign and launch experiences tied to model and product releases. This role sits inside Brand Creative and partners closely with design, editorial, marketing, and product growth engineering. We want a player-coach: comfortable setting technical direction without an existing playbook, staying close to the code and the launches, and building the tooling that lets designers and editors publish without an engineer in the loop.
Responsibilities
- Manage and grow the team: coach, hire, and set the bar for craft and reliability
- Own the technical roadmap for anthropic.com and claude.com: CMS architecture, publishing workflow, performance, SEO health, localization, the production design system, deploy pipeline, on-call, and incident response
- Run launch engineering for model, product, and campaign moments, shipping high-quality pages on tight, shifting timelines without heroics
- Build the brand tooling layer: internal tools, integrations, and Claude-in-the-loop workflows that let designers, writers, and marketers publish safely without engineering as a bottleneck
- Partner with design and editorial on creative technology, data visualizations, interactive explainers, campaign experiences, that need real engineering, not a template
- Align web engineering work with Marketing, Product, Comms, and core Engineering, and say no to what doesn't move brand and business goals
Requirements
- 10+ years in software engineering, 5+ managing engineers, with that time spent as an engineering manager inside a marketing, brand, or design engineering organization specifically, not just a product engineering one
- Owned a high-traffic marketing or brand web surface end to end: CMS, frontend, infrastructure, and the publishing workflow around it
- Strong frontend depth yourself, TypeScript, React, modern CSS, a modern headless CMS, and a real preference for staying close to the code
- Built tooling that made non-engineers faster and safer, with a concrete story of what changed
- Shipped under real launch pressure with cross-functional partners, without dropping the quality bar
- Comfortable operating at the seam between Design, Marketing, and Engineering
- Deep interest in AI and excitement about putting Claude into the build and publish loop itself, not just on the page
Nice to Have
- Held a Head of Web Engineering or equivalent platform lead title at a product company
- Built localization and multi region web infrastructure
- Come from a company where brand and product web sat close together: design tools, productivity, or developer tools
- Led design systems or component library work that shipped to production
We Offer
- Annual Salary: $405,000 USD
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space in San Francisco
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.
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.
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.
© 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.
More at Label Your Data
All 1589 roles
AI Platform Engineer, Infrastructure
Label Your Data · United States

AI Infrastructure Security Engineer
Label Your Data · United States

Product Manager
Label Your Data · United States

Machine Learning Engineer, Applied AI - Deployed
Label Your Data · United Arab Emirates