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Analytics Data Engineering Manager, ProductMenlo Ventures • Seattle, Washington, United States
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Analytics Data Engineering Manager, Product

Menlo Ventures
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Jetzt Bewerben

Über

About the Role As an Analytics 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.
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.
Qualifications
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.
Bias for action and urgency, not letting perfection be the enemy of effectiveness.
A full‑stack mindset, not hesitating to do what it takes to solve a problem end‑to‑end.
Passion for Anthropic’s mission of building helpful, honest, and harmless AI.
Compensation & Benefits Annual Salary: $370,000—$450,000 USD
Benefits include competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a pleasant office environment.
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.
Location-based Hybrid Policy: All staff are expected to be in one of our offices at least 25% of the time; some roles may require more time in office.
Visa Sponsorship: Anthropic sponsors visas and will make every reasonable effort to obtain a visa for an offer recipient, where able.
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  • Seattle, Washington, United States

Sprachkenntnisse

  • English
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