Analytics Data Engineering Manager, Product

remotehiro; San Francisco (CA); On-site; USD 370,000 - 450,000; Full time

Job summary

Anthropic in New York is seeking an Analytics Data Engineering Manager to lead the analytics engineering team. The role involves overseeing scalable data solutions for various Product pillars and ensuring data integrity across the organization. The ideal candidate has 5+ years of experience managing teams in analytics or data engineering and a strong technical foundation in SQL and Python. This position offers a hybrid work model and a competitive salary ranging from $370,000 to $450,000 annually.

Qualifications

• 5+ years of experience managing analytics or data engineering teams.
• 8+ years total experience in analytics engineering, data engineering, or similar roles.
• Deep expertise in data modeling, ETL pipelines, and data warehouse architecture.
• Experience scaling analytics functions from early stage to maturity.

Responsibilities

• Build and scale the Product Analytics Engineering team.
• Define and execute the strategic roadmap for product data foundations.
• Oversee design and implementation of scalable data pipelines.
• Partner with Data Science and Product leadership to translate data needs.

Skills

Data modeling

ETL pipelines

SQL

Python

dbt

team building

communication

Education

Bachelor’s degree or equivalent

Tools

Modern data stack tools

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of researchers, engineers, policy experts, and business leaders building beneficial AI systems.

About the role

As Analytics Data Engineering Manager focused on Product, you will build and lead the analytics engineering team that creates data foundations enabling data‑driven decision making across Anthropic’s Product organization. You will oversee scalable data solutions for Product pillars—Consumer, Claude Code, Enterprise & Verticals, Growth, Platform Product—while managing a team of analytics engineers and working with stakeholders in Data Science, Product, and Engineering to ensure reliable, accurate metrics that scale as the company grows.

In this role you will balance hands‑on technical leadership with people management, set the strategic vision for product data foundations, and develop and mentor team members. You will partner closely with Product Data Scientists, Product Managers, and Product Engineers to understand how users interact with Claude, measure product quality and growth, and transform raw event logs into insightful data marts powering product decisions.

Responsibilities

• Build and scale the Product Analytics Engineering team, including hiring and mentoring a high‑performing analytics engineering team embedded with Product pillars.
• Define and execute the strategic roadmap for product data foundations and analytics capabilities.
• Oversee 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.
• Drive development of foundational data products, dashboards, and tools to enable self‑serve analytics; partner with Data Science 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.

You might be a good fit if you have

• 5+ years of experience managing analytics or data engineering teams, preferably in a scaling startup.
• 8+ years 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 and 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.
• A bias for action and urgency, not letting perfect be the enemy of effectiveness.
• A full‑stack mindset, not hesitating to do what it takes to solve a problem end‑to‑end.
• A passion for Anthropic’s mission of building helpful, honest, and harmless AI.

Compensation

Annual base salary range: $370,000 – $450,000 USD.

Logistics

Minimum education: Bachelor’s degree or equivalent combination of education, training, or experience.

Required field of study: Relevant to the role as demonstrated through coursework, training, or professional experience.

Minimum years of experience: Correlates with internal job level requirements.

Location‑based hybrid policy: Staff expected to be in one of our offices at least 25 % of the time.

Visa sponsorship: We sponsor visas, but each role may vary. We will make reasonable efforts to obtain a visa if an offer is made.

EEO Statement

Our company is an equal opportunity employer and does not discriminate in hiring based on race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic.