Data Engineer, Product

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><p><strong>About the role</strong><br>As a Data Engineer on the Data Science &amp; Analytics team, you'll build the foundation that lets analytics scale across Anthropic. You'll partner with Engineering, Product and other teams to turn raw data into reliable metrics, reporting and insights, and you'll make sure teams have accurate metrics for our consumer products from idea to launch. You'll also lead your own projects that make self-serve insights possible, so teams can make data-driven decisions.</p> <p><strong>Responsibilities</strong></p> <ul> <li> <p>Understand, and where possible anticipate, the data needs of partner teams, and translate them into data models, reporting and technical requirements</p> </li> <li> <p>Define, build and manage key dbt pipelines that turn raw logs into canonical datasets</p> </li> <li> <p>Set data integrity standards and SLAs so data is delivered on time and accurately</p> </li> <li> <p>Build reliable dashboards that track core metrics and share insights across the company</p> </li> <li> <p>Build foundational data products, dashboards and tools that let self-serve analytics scale</p> </li> <li> <p>Partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products</p> </li> <li> <p>Shape Product teams' roadmaps from a data systems perspective</p> </li> <li> <p>Become an expert in our data models and data architecture</p> </li> </ul> <p><strong>You may be a good fit if you have</strong></p> <ul> <li> <p>Significant experience as a Data Engineer or in a similar Data Science &amp; Analytics role,