Data Engineering Manager, Product

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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Data Engineering Manager focused on Product, you will build and lead the analytics engineering team responsible for creating the data foundations that enable data-driven decision making across Anthropic’s Product organization. You will oversee the development of scalable data solutions for Product pillars – including Consumer, Claude Code, Enterprise & Verticals, Growth, Platform Product – managing a team of analytics engineers and working closely with stakeholders across Data Science, Product, and Engineering to ensure teams have access to reliable, accurate metrics that can scale with our company’s growth. In this role, you will balance hands-on technical leadership with people management, setting the strategic vision for product data foundations while developing and mentoring team members. You will partner closely with Product Data Scientists, Product Managers, and Product Engineers to understand how users interact with Claude, how to measure product quality and growth, and how to transform raw event logs into insightful data marts that power product decisions. 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 You might be a good fit if you have: · 8+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment · 10+ 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 · A bias for action and urgency, not letting perfect be the enemy of the effective · 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 For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000—$485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.