Engineering Manager, Research Data Platform

Anthropic
San Francisco, New York
Workplace: HybridFull timeUSD 405,000 - 850,000 annuallyFunction: Research & Scientific (R&D)Education: bachelorsSkills: ["Leadership","Mentorship","Communication","Pragmatism","Stakeholder management"]

Lead the Research Data Platform team as a technical leader and people manager, partnering with researchers and support engineers to understand workflows and identify high-leverage opportunities. Set technical direction across platform components and canonical datasets (including the core RL transcript data model), build libraries and services other teams integrate with, and own end-to-end dataset pipelines, schemas, documentation, and guarantees. Drive convergence, run complex multi-quarter projects, and raise the team’s technical bar through design reviews and mentorship.

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FursaFursa
Anthropic
Anthropic
1 month ago

Engineering Manager, Research Data Platform

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Last checked: 18 hours agoStatus: Live

Job Summary

Lead the Research Data Platform team as a technical leader and people manager, partnering with researchers and support engineers to understand workflows and identify high-leverage opportunities. Set technical direction across platform components and canonical datasets (including the core RL transcript data model), build libraries and services other teams integrate with, and own end-to-end dataset pipelines, schemas, documentation, and guarantees. Drive convergence, run complex multi-quarter projects, and raise the team’s technical bar through design reviews and mentorship.
Location: San Francisco, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Manager level

Key Responsibilities

  • •Work directly with researchers and engineers supporting them to understand workflows, identify high-leverage opportunities, and shape what the team builds next.
  • •Set technical direction for the team across the platform and datasets.
  • •Design and build platform components—libraries, services, and interfaces—used by other teams such as training frameworks.
  • •Own core datasets end to end, including pipelines, schemas, and documentation/guarantees that make researchers trust the data.
  • •Drive convergence toward canonical datasets and lead complex multi-quarter projects across multiple systems and teams, staying hands-on in code.

Pay and Benefits

Salary: USD 405,000 - 850,000 annually
Perks:Parental LeavePaid Leave

Key Requirements

  • •Have built and operated data-intensive systems at scale, including pipelines, storage layers, and query systems, with strong instincts for data modeling and schema design.
  • •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 by doing discovery work, iterating with users, and measuring success by adoption rather than shipping.
  • •Lead through influence by aligning engineers and stakeholders without relying on formal authority.
  • •Be results-oriented and pragmatic, willing to do unglamorous work when it’s the highest-leverage option.
Experience:AI researchData-intensive systemsMachine learningData platformsETL
Education:Bachelor's
Skills:LeadershipMentorshipCommunicationPragmatismStakeholder management
Languages:English
Tech Stack:ETLSparkBigQueryClickHouseDuckDBParquetMetrics libraryTime-series data

Company Brief

Anthropic
Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2021
WebsiteLinkedIn