[Hiring] Data Scientist @Clerk

Role Description

You'll join a deliberately small and very senior data team to own machine learning and the product-facing side of Clerk's data. You'll take on ambiguous, greenfield problems and run them from the first question to production, in our repos and in engineering's.

• Build Clerk's ML infrastructure: Stand up the pipelines, training and model serving that take ML from notebook to production, on what engineering already runs instead of a parallel stack.
• Turn our own data into products: Start with the internal signals (conversion and expansion scoring, lifetime value, feature telemetry), then ship the useful ones to customers, including a semantic layer that gives them natural-language access to their own data.
• Ship in engineering's repos, not just ours: Land models and signals in product and platform code with the teams that own it, and drive the cross-team work yourself.
• Do whatever it takes for Clerk to succeed: Build a dashboard, dig into a trend, hop on a call with a customer. No task is beneath you and you care more about Clerk winning than about what's written in this job description.

Qualifications

• Staff-level Data Scientist or ML Engineer who has built machine learning systems from scratch and run them in production.
• Comfortable building as well as analyzing.
• Experience in developer tools or infrastructure products is a plus.
• Located in the Americas, within ±3 hours of U.S. Mountain Time (MDT, UTC−06:00).
• Ownership of large, ambiguous problems.
• Individual contributor who wants a lot of scope and autonomy.
• Ability to cross the line between data and engineering.
• Comfortable in the data stack and opening pull requests in adjacent engineering repos.
• Product sense to know which problems are worth solving.
• Iterative work process with a "ship and iterate" mentality.
• Technical fluency with high standards and strong opinions about data, ML, and infrastructure work.
• Familiarity or quick learning ability with our stack (GCP/BQ, dbt, Dagster, ClickHouse, PostHog, and Hex).

Benefits

• Competitive Salary: We value the skills and experience you bring to the table and ensure fair compensation.
• Equity Ownership: We offer a stock option plan for shared success and growth.
• Health Coverage: Top-tier health insurance to meet your health needs.
• Work Gear: Set up your ideal home office with the gear of your choice.
• Flexible Vacation Policy: Unlimited vacation policy with a recommendation of 25 days per year, in addition to national holidays.
• Diverse and Inclusive Team: Join a globally distributed team committed to fostering an inclusive environment.