Engineering Manager, Data

Stepful

$180K — $210K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of data experience in analytics and data engineering, including 2+ years in a management role
  • Experience as a player-coach, balancing direction-setting and hands-on technical work
  • Expert-level proficiency in SQL and strong skills in Python
  • Familiarity with modern data tools such as dbt, Snowflake, BigQuery, and Airflow
  • Strong understanding of product and business metrics and their relation to data outcomes
  • Exceptional communication skills for presenting complex analyses to non-technical audiences

Responsibilities

  • Lead, mentor, and grow a team of three data analysts and engineers
  • Own the entire data platform, ensuring its reliability and scalability
  • Define and maintain core metrics across student journeys and business performance
  • Build dashboards and self-serve analytics for easy data access across teams
  • Collaborate with Growth and Product teams on A/B test design and analysis
  • Conduct deep-dive analyses to inform strategic decision-making
  • Stay hands-on by writing SQL and Python code and tackling challenging technical issues
  • Establish and maintain data governance and quality practices as the company scales

Benefits

  • Meaningful equity stake in the company
  • Subsidized medical, dental, and vision insurance options
  • 401(k) retirement plan
  • Flexible spending accounts (FSA), health savings accounts (HSA), and commuter benefits
  • Open vacation policy with guidance of 15 days PTO annually, including a company closure in the last week of December, 15 work-from-anywhere days, and 10 public holidays
Full Job Description
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

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 - $210,000, 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.

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