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Greenhouse ·

full-time

Engineering Manager, Data Infrastructure

Anthropic · San Francisco, CA | New York City, NY

Anthropic is a company focused on building reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Engineering Manager for Data Infrastructure will lead the Data Warehouse & Streaming Infra team, owning the end‑to‑end data platform that supports every organization within Anthropic. Day‑to‑day responsibilities include growing and mentoring the team, ensuring reliability, security, governance, and cost efficiency of data warehousing, streaming, and processing systems, defining and executing the roadmap for batch and streaming infrastructure, partnering with finance, product, research, and engineering to align data capabilities with business needs, and driving hiring for senior data infrastructure engineers. The role requires balancing immediate business demands with long‑term scalable design, establishing data quality standards and SLAs, and influencing shared platform practices across the broader infrastructure organization. It suits candidates with at least three years of engineering management experience, a proven track record of building high‑performing data infrastructure teams, deep hands‑on expertise in both batch and streaming systems (including warehousing, pipelines, orchestration, event streaming, and change data capture), strong people‑first leadership skills, and a history of hiring and scaling teams in high‑growth environments.

engineering managementdata infrastructuredata warehousestreaming infrateam leadershipbatch processingevent streamingdata platformtechnical leadershiphiring

Education

  • Level: Bachelor's degree
Engineering Management3-3 yrs experience

Key Skills

Data WarehousingStreamingKafkaBatch ProcessingChange Data CaptureData IngestionOrchestrationData QualityScalabilityReliabilitySecurityCost Management

Experience required

3-3 years experience
0 yrs10+ yrs

About the Role Engineering Manager to lead and scale Data Warehouse & Streaming Infra team, own the data platform, shape long‑term vision, and partner across finance, data science, product, engineering, and research. Responsibilities Lead, grow, and mentor the team; own data warehousing, streaming, and processing capabilities end‑to‑end; support scaling of data ingestion, event streaming, change data capture, storage, orchestration, compute, query, and reporting systems; define and execute roadmap for batch and streaming infrastructure; lead platform decisions for streaming backbone (Kafka); partner across orgs; drive hiring; establish data quality standards, SLAs, and operational processes; ensure sound infrastructure investment decisions; align broader infrastructure org on shared platforms and best practices. Requirements 3+ years engineering management experience building high‑performing data infrastructure teams; deep hands‑on expertise in batch and streaming data infrastructure, warehousing, pipelines, orchestration, event streaming, and change data capture; experience with distributed log systems (partitioning, delivery guarantees, backpressure); track record of shipping systems with business/financial impact; strong hiring instincts; people‑first leadership.

Skills for this role

Data WarehousingStreamingKafkaBatch ProcessingChange Data CaptureData IngestionOrchestrationData QualityScalabilityReliabilitySecurityCost Management

Required skills

Data WarehousingStreamingKafkaBatch ProcessingChange Data CaptureData IngestionOrchestrationData QualityScalabilityReliabilitySecurityCost Management

Also mentioned in the listing

engineering managementdata infrastructuredata warehousestreaming infrateam leadershipevent streamingdata platformtechnical leadershiphiring
RoleEngineering Manager, Data Infrastructure
CompanyAnthropic
LocationSan Francisco, CA | New York City, NY
CompensationNot disclosed
Posted2026-09-22
DeadlineRolling

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

  1. 1ApplicationSubmit your resume through the apply link.
  2. 2ScreeningRecruiter reviews your background against the role.
  3. 3AssessmentA technical test, assignment, or coding round, depending on the role.
  4. 4Interview(s)One or more rounds with the hiring team.
  5. 5OfferOffer letter with compensation and start date.

Before you apply

0/4

Engineering Manager, Data Infrastructure at Anthropic: frequently asked questions

Who can apply for the Engineering Manager, Data Infrastructure role at Anthropic?
The listing asks for Bachelor's degree; 3-3 years of experience.
What skills does the Engineering Manager, Data Infrastructure role require?
The listing highlights Data Warehousing, Streaming, Kafka, Batch Processing, Change Data Capture, Data Ingestion, Orchestration, Data Quality, Scalability, Reliability. Show each of these in a project or past role on your resume.
What is the salary for this role?
Anthropic has not stated compensation in the listing. Check the original posting or ask during the application process.
Is the Engineering Manager, Data Infrastructure position remote, hybrid or onsite?
The listing gives San Francisco, CA | New York City, NY as the location and does not state a work mode.
What is the application deadline?
Anthropic has not listed a fixed deadline, so apply early in case the opening is filled.
How do I apply for the Engineering Manager, Data Infrastructure role?
Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.

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