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Engineering Manager, Research Data Platform

Anthropic· AI Research & Engineering
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Hybrid (San Francisco, CA), Hybrid (New York City, NY)$405k - $850kfull-timePosted 3mo ago

About the role

Engineering Manager leading the Research Data Platform team at Anthropic, focusing on building platform components and end-to-end core datasets for research data, with a hands-on, user-centric, data-intensive system leadership approach and potential path to formal people leadership.

Responsibilities

  • Work directly with researchers and the engineers supporting them to understand their workflows, identify the highest-leverage opportunities, and shape what the team builds next
  • Set the technical direction for the team across our platform and our datasets
  • Design and build platform components that other teams plug into — libraries, services, and interfaces such as the metrics library used by training frameworks
  • Own core datasets end to end: the pipelines that produce them, the schemas that define them, and the documentation and guarantees that make researchers trust them
  • Drive convergence toward canonical datasets — including the core data model for RL transcripts — that research teams standardize on
  • Lead complex, multi-quarter projects that span several systems and teams, staying hands-on in the code
  • Raise the team's technical bar through design reviews, mentorship, and the quality of your own work

Qualifications

  • Have built and operated data-intensive systems at scale — pipelines, storage layers, query systems — with strong instincts for data modeling and schema design that hold up as usage grows
  • Have set technical direction for a team, or owned the architecture of a data platform that other teams build on
  • Treat internal users as customers: you do the discovery work, iterate with users, and measure success by adoption rather than by shipping
  • Understand that researchers aren’t typical internal customers — the work is exploratory by nature, workflows differ from team to team, and requirements are discovered through experiments rather than specified up front
  • Can build for that motion — keeping interfaces stable and data trustworthy while use cases change underneath you, and judging when a quick, disposable solution serves research better than a durable one
  • Lead through influence — aligning engineers and stakeholders without relying on formal authority
  • Are results-oriented and pragmatic, willing to do unglamorous work when it's the highest-leverage thing
  • Are excited about learning the fundamentals of machine learning research (deep ML expertise is not required)
  • Care about the societal impacts of your work

Skills

Required:Data platform leadershipSystem design for data pipelinesUser-centric product discovery

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space
Last updated Oct 7, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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