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Engineering Manager, Research Data Platform

AnthropicSan Francisco, CA | New York City, NYAI Research & Engineering
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Salary
Not listed
Job type
Full-time
Posted
7 Jul 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Engineering Manager, Research Data Platform role at Anthropic involves leading technical direction for data systems that support large-scale AI research in San Francisco, CA or New York City, NY. This position suits an experienced technical leader who enjoys partnering closely with researchers to build robust data pipelines, storage layers, and platform components.

Key Responsibilities

Collaborate directly with researchers and supporting engineers to understand daily workflows and pinpoint high-leverage opportunities.
Establish the technical direction for platform components and core datasets across the organization.
Design and construct reusable platform components like metrics libraries and integration services.
Own core datasets end-to-end, covering the producing pipelines, defining schemas, and ensuring data trustworthiness.
Drive convergence toward canonical datasets, including the core data model for reinforcement learning transcripts.
Lead complex, multi-quarter projects across various systems while remaining hands-on with the code.
Elevate technical standards through rigorous design reviews, mentorship, and individual output.

Requirements

Experience building and operating large-scale data-intensive systems such as pipelines, storage layers, and query engines.
Strong expertise in data modeling and schema design that scales with usage.
Demonstrated ability to set technical direction for a team or own data platform architecture.
Customer-centric mindset for internal users, prioritizing adoption and iterative discovery.
Ability to build stable interfaces and reliable data while managing exploratory and fast-changing research use cases.
Skill in leading through influence without relying strictly on formal authority.
Pragmatic and results-oriented approach to unglamorous yet impactful tasks.

Nice to Have

Experience with large-scale ETL operations and columnar or analytical storage solutions like Spark, BigQuery, ClickHouse, DuckDB, or Parquet.
Background in metrics systems, experiment-tracking frameworks, or high-volume time-series data.
Familiarity with dataset management, cataloging, or lineage tooling.
Experience building developer tooling or internal data platforms for demanding technical users.
Working knowledge of machine learning or direct experience within an ML research lab.
Interest or prior experience in formal people management and growing engineers.

Skills and Tools

Spark
BigQuery
ClickHouse
DuckDB
Parquet
Data-intensive systems design
Data modeling and schema design

Salary and Benefits

Annual Salary: $405,000 to $850,000 USD
Location-based hybrid policy requiring staff to be in an office at least 25% of the time
Visa sponsorship available with immigration lawyer support
Competitive compensation and benefits package
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours

About the Company

Anthropic is a public benefit corporation on a mission to create reliable, interpretable, and steerable AI systems that remain safe and beneficial for society. Operating as a single cohesive team focused on large-scale research efforts, the organization values collaboration, empirical science, and communication. Anthropic headquarters are located in San Francisco, CA.

How to Apply

Candidates should visit the official Anthropic careers page to submit an application for this position.

Skills and tech stack

Spark

Questions candidates ask

What is the location for this role?

This position is based in San Francisco, CA or New York City, NY with a location-based hybrid policy requiring employees to be in an office at least 25% of the time.

What is the salary range for the Engineering Manager role?

The annual salary range is $405,000 to $850,000 USD.

Is visa sponsorship available?

Yes, Anthropic does sponsor visas and retains an immigration lawyer to assist candidates receiving an offer.

Do I need deep machine learning expertise to apply?

Deep machine learning expertise is not required, though an interest in learning the fundamentals of machine learning research is important.

How should I submit my application?

Applications should be submitted directly through the official Anthropic careers page.

Ready to apply?

The application is on the official Anthropic careers page.

Apply on company site