# Analytics Data Engineering Manager, Product

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA, New York, NY, Seattle, WA
**Role:** Engineering Management
**Salary:** $370k – $450k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, dbt, ETL, Data Modeling, Data Pipelines, Data Warehouse, Data Marts, Dashboards, Analytics Engineering
**Posted:** 2026-05-08

> Leads analytics engineering team building scalable data pipelines and models for product metrics. Partners with Data Science, Product, and Engineering; requires 5+ years managing data teams and expertise in SQL, Python, dbt.

## Job Description

## Responsibilities
- Build and scale the Product Analytics Engineering team, including hiring and mentoring a team of high-performing analytics engineers embedded with Product pillars
- Define and execute the strategic roadmap for product data foundations and analytics capabilities
- Oversee the design and implementation of scalable data pipelines, data models, and analytics solutions that transform raw product event logs into canonical datasets and insightful data marts
- Partner with Data Science, Product, and Engineering leadership to understand data needs and translate them into technical requirements
- Establish and maintain high data integrity standards, SLAs, alerting, and best practices for the team
- Drive the development of foundational data products, dashboards, and tools to enable self-serve analytics; partner with the Data Science team to build innovative data tools using Claude to scale data-driven decisions across Product teams
- Foster a culture of technical excellence, continuous learning, and data-driven decision making
- Serve as a technical thought leader for data modeling, ETL processes, and product analytics infrastructure

## Requirements
- 5+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment
- 8+ years of total experience in analytics engineering, data engineering, or similar data-focused roles
- Deep expertise in data modeling, ETL pipelines, and data warehouse architecture
- Strong technical foundation with expertise in **SQL**, **Python**, **dbt**, and modern data stack tools
- Proven track record of building and leading high-performing teams
- Experience partnering with Data Science, Product, and Engineering leaders to deliver key product metrics and user behavior insights
- Demonstrated ability to balance strategic thinking with hands-on technical leadership
- Strong communication skills with the ability to translate complex technical concepts for diverse audiences
- Experience scaling analytics functions from early stage to maturity in rapidly changing environments
- Track record of establishing data governance, quality standards, and best practices

## Compensation
Annual Salary: **$370,000—$450,000 USD**

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