Engineering Manager, Data

We're hiring a Engineering Manager, Data to own Stepful's data function — the infrastructure, analytics, and insights that power decisions across the company, from student outcomes to marketing spend. You'll lead a team of three data analysts and engineers while staying deeply hands-on: writing code, building models, and shipping analyses alongside your team. As we scale past 40,000 students graduates, the leverage of great data work has never been higher.

This role reports directly to the SVP, Engineering and partners closely with Growth, Product, Operations, and Finance across the organization.

This is a hybrid opportunity based out of our NYC office, requiring three days/week (Tuesday, Wednesday, Thursday) in office.

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  Lead, mentor, and grow a team of three data analysts and engineers, setting the standard for rigor and craft

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  Own Stepful's data platform end to end — pipelines, warehouse, transformation layer, and BI tooling — and its reliability and scalability

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  Define and maintain the company's core metrics across the student journey (enrollment, engagement, completion, certification, placement) and business performance (CAC, LTV, retention)

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  Build dashboards and self-serve analytics that put trustworthy data in every team's hands

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  Partner with Growth and Product on experimentation — design, instrumentation, and analysis of A/B tests

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  Deliver deep-dive analyses that shape strategic decisions, from program design to budget allocation

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  Stay hands-on: write production SQL and Python, review your team's work, and take on the hardest technical problems yourself

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  Establish data governance and quality practices that scale with the company

• 7+ years of data experience across analytics and data engineering, with at least 2+ years managing a team

• Proven success as a player-coach — you set direction and manage people while still shipping your own work

• Expert-level SQL and strong Python, with hands-on experience across the modern data stack (e.g., dbt, Snowflake/BigQuery, Airflow, Looker/Metabase)

• Strong product and business sense — you connect data work to outcomes, not just deliverables

• Experience designing and analyzing experiments in a high-growth environment

• Exceptional communication skills with the ability to make complex findings clear to non-technical stakeholders

• Experience working with or knowledge of our tech stack: Fivetran for pipelines, Bigquery as our warehouse, Dataform for data transformations, and Preset for business intelligence

• You've built or scaled a data function at an early or growth-stage startup

• You've worked with marketing attribution or funnel analytics at scale

• You've worked in EdTech, healthcare, or another mission-driven industry

• Introductory call with Talent Acquisition team member

• Interview with Hiring Manager

• Take-Home Assignment and Presentation

• On-Site Panel Interview