Data Engineer, Product

About the Position

We are seeking a Data Engineer, Product to join our Data Science & Analytics team at Anthropic. You will play a pivotal role in building the foundation to scale analytics across our organization. Collaborating with key stakeholders in Engineering, Product, and other areas, you will develop scalable solutions to transform data into key metrics reporting and insights. Your responsibilities will include ensuring teams have access to reliable, accurate metrics for consumer products from idea to implementation, and leading projects to enable self-serve insights to help teams make data-driven decisions.

Responsibilities

• Understand and proactively identify the data needs of stakeholder teams, translating them into technical requirements.
• Define, build, and manage key data pipelines in dbt that transform raw logs into canonical datasets.
• Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data.
• Develop insightful and reliable dashboards to track performance of core metrics.
• Build foundational data products, dashboards, and tools to enable self-serve analytics across the company.
• Partner closely with stakeholders to define and materialize metrics and analysis for new and evolving consumer products.
• Influence the future roadmap of Product teams from a data systems perspective.
• Become an expert in our organization’s data models and the company's data architecture.

Requirements

• 7+ years of experience as a Data Engineer or similar Data Science & Analytics roles, preferably partnering with Product leads to build and report on key company-wide metrics.
• Expertise in building multi-step ETL jobs through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
• Expertise in SQL and Python to transform data into accurate, clean data models.
• Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
• 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, even if it requires going outside the original job description.
• Experience building a Data Engineering (or similar) function at start-ups.
• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
• Experience scaling own productivity and that of others by leveraging AI without sacrificing the quality of deliverables.

We Offer

• Competitive annual salary range: $320,000 - $405,000 USD.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

About the Company

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.

Locations: San Francisco, CA | New York City, NY | Seattle, WA

Apply now to join our mission-driven team and help shape the future of AI!