Job description

About Stepful: Stepful is a workforce platform redefining how America's largest health systems build, train, and retain their talent. Since our founding in 2021, Stepful’s trained over 32,000 practice-ready healthcare workers. Layering onto our successful direct-to-consumer training, Stepful partners with leading healthcare institutions to address the growing national shortage of healthcare workers. We’re improving access to quality healthcare for everyone, everywhere, and improving access to healthcare career ladders for those who need them most. Our students form the talent pipelines for major employers such as NY-Presbyterian, Mt. Sinai, HCA, Providence, CVS, and Walgreens. We have partnerships with half of the top 10 health systems in the US and are in process with many more. Stepful is backed by Y Combinator, Reach Capital, and AlleyCorp, with a recent $55M Series C led by Oak HC/FT stepful.com. We were named the #1 EdTech company in the U.S. by TIME for 2025 stepful.com. Our values: We credit much of our success to our exceptional team. We’re looking for mission-driven builders who thrive in fast-paced, ambiguous environments, and embody our four core values: - Care first: We do whatever it takes for our students to succeed. - Learn quickly: We test, learn with data, and iterate. - Build together: We win when we rely on each other. - Own it: We show up, take initiative, and show pride. The opportunity: 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. What you'll do: - Lead, mentor, and grow a team of three data analysts and engineers, setting the standard for rigor and craft - Own Stepful's data platform end to end — pipelines, warehouse, transformation layer, and BI tooling — and its reliability and scalability - Define and maintain the company's core metrics across the student journey (enrollment, engagement, completion, certification, placement) and business performance (CAC, LTV, retention) - Build dashboards and self-serve analytics that put trustworthy data in every team's hands - Partner with Growth and Product on experimentation — design, instrumentation, and analysis of A/B tests - Deliver deep-dive analyses that shape strategic decisions, from program design to budget allocation - Stay hands-on: write production SQL and Python, review your team's work, and take on the hardest technical problems yourself - Establish data governance and quality practices that scale with the company What you'll bring: - 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 Bonus points if: - 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 Interview Process: - Introductory call with Talent Acquisition team member - Interview with Hiring Manager - Take-Home Assignment and Presentation - On-Site Panel Interview Benefits and Compensation: - Meaningful Equity Stake - Subsidized Medical, Dental, and Vision insurance plan options - 401(k) - FSA, HSA and commuter benefits - Open vacation policy, including: - Guidance of 15 days PTO annually - Stepful closed the last week of December - 15 work-from-anywhere days - 10 public holidays observed for 2026 The target base salary range for this opportunity is $180,000 - $225,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, internal pay equity and other relevant business considerations. Stepful is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. -- In light of recent hiring scams, if you're selected to move onto the next phase of our hiring process, a member of our Talent Acquisition team will reach out to you directly from an @stepful.com email address to guide you through our interview process.

Requirements

Must-haves

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.
Lead, mentor, and grow a team of three data analysts and engineers, setting the standard for rigor and craft
Own Stepful's data platform end to end — pipelines, warehouse, transformation layer, and BI tooling — and its reliability and scalability
Define and maintain the company's core metrics across the student journey (enrollment, engagement, completion, certification, placement) and business performance (CAC, LTV, retention)
Build dashboards and self-serve analytics that put trustworthy data in every team's hands
Partner with Growth and Product on experimentation — design, instrumentation, and analysis of A/B tests
Deliver deep-dive analyses that shape strategic decisions, from program design to budget allocation
Stay hands-on: write production SQL and Python, review your team's work, and take on the hardest technical problems yourself
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
Meaningful Equity Stake
Guidance of 15 days PTO annually
Stepful closed the last week of December
15 work-from-anywhere days

Nice-to-haves

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Platform: ashby
Effort: quick

Benefits

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Dental

Vision

401(K)

Pto