Product Analytics Engineering Manager

Rozgoo; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Anthropic is seeking an Analytics Data Engineering Manager focused on Product to build and lead a team delivering data foundations for decision making across Product pillars such as Consumer, Claude Code, Enterprise & Verticals, Growth, and Platform Product.

You will balance hands-on technical leadership with people management, shaping the roadmap and mentoring engineers to transform raw event logs into usable data marts powering product decisions.

Qualifications

• 5+ years in analytics engineering or data engineering.
• Experience leading teams delivering product analytics.
• Strong data modeling and scalable data solutions.

Responsibilities

• Build and scale the Product Analytics Engineering team, hiring and mentoring 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,

Skills

Leadership

Analytics Engineering

Data Pipelines

Product Metrics

Team Management

Stakeholder Collaboration

Tools

SQL

Python

Spark

dbt

Airflow

Job description

Anthropic is seeking an Analytics Data Engineering Manager focused on Product to build and lead a team delivering data foundations for decision making across Product pillars such as Consumer, Claude Code, Enterprise & Verticals, Growth, and Platform Product.

You will balance hands-on technical leadership with people management, shaping the roadmap and mentoring engineers to transform raw event logs into usable data marts powering product decisions.