Sr. AI Data Engineer

The Role: Sr. AI Data Engineer The Company: r.Potential Location: San Francisco, CA (3 days a week on-site Reports to: AI Product Manager About r.Potential r.Potential exists to help people and companies realize their full potential as AI changes work. We're building an enterprise platform that helps leaders decide where to invest, what work AI can realistically take on, and how people's roles should evolve.

We independently prove whether those changes deliver real business results. Drawing on a proprietary, global view of work across millions of companies, we're developing repeatable ways for people and AI to work together. Our ambition is for each company's decisions and results to improve the next company's choices. Join us to help shape how the next generation of companies works.

r.Potential is based in SF and backed by Salesforce and The Adecco Group. The Role Our product depends on data. We combine proprietary, third-party, and AI-generated datasets in Databricks and Postgres to power customer-facing products. We have production pipelines today, but they were built quickly and vary in how they are structured, tested, monitored, and operated.

We're looking for a senior data engineer to take ownership of this layer, improve what exists, and establish a consistent way to build and run data pipelines going forward. This role also requires understanding the business context behind the data. You'll need to understand what the data represents, where it came from, where it can be misleading, and how it is used in the product.

What you'll do

Own and improve our production data pipelines. Standardize pipeline structure, scheduling, retries, testing, monitoring, and backfills. Build monitoring around freshness, coverage, failures, and data quality. Own Databricks across jobs, Unity Catalog, permissions, environments, and cost. Work in our product monorepo alongside the engineering team.

Work with product and business teams to understand new datasets and resolve data issues. Make it easier to take new data sources from prototype to production.

Requirements

5+ years of data engineering experience with production pipeline ownership. Strong DataBricks and Unity Catalog experience, including workspace administration. Strong Python and SQL. Experience improving an existing data environment while it remained live. Strong business judgment around data and an interest in understanding what the data actually means.

Comfortable working through ambiguous or messy data with product and business teams rather than waiting for a finished spec. Comfortable with AI coding tools Bay Area based or commutable and comfortable working in person three days per week.

Nice to have

Azure, terraform, Postgres Entity resolution or identity matching. Labor-market, company, people, or other large third-party datasets. Data systems supporting AI or LLM products.

What we offer

High ownership, direct work with the founder and engineering team, and the opportunity to define how data engineering is done at rPotential as the team grows.