Engineering Manager, Data
Indexed description
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. We were named the #1 EdTech company in the U.S. by TIME for 2025.
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.
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
- 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
- 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
- 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
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.
Compensation Range: $180K - $225K
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