This role is ideal for a seasoned Data Science leader with at least 8 years of experience, specifically someone who has transitioned into management over the la
Work type: remote
Location: New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States
Salary: $212,000 – $265,000/yr
Type: Full-time
This role is ideal for a seasoned Data Science leader with at least 8 years of experience, specifically someone who has transitioned into management over the last 3+ years. You should have a background in **service operations or customer experience**, with a high degree of technical comfort in Bayesian A/B testing and predictive modeling. The team is looking for a "player-coach" who can lead a high-performing team while still getting hands-on with SQL and Python to solve complex problems. The compensation is highly competitive, topping out at **$265,000 base** plus equity, and the role is **fully remote** with a generous $325M+ in Series D backing. Unique perks like a work-from-home stipend, 16-week parental leave, and therapy reimbursement align with the company's mission. You will have a direct hand in shaping how AI and automation improve support for millions of patients and providers. **You might be a good fit if you:** * Have a strong grasp of **causal inference and measurement science** to evaluate human vs. AI support performance. * Are comfortable partnering with Product and Engineering to build performance management systems from scratch. * Enjoy the "zero-to-one" aspect of defining an insights strategy for a mission-critical platform. * Want to work for a high-growth, stable startup in the mental healthcare space.
Headway’s mission is a big one – to build a new mental health care system everyone can access. We’ve built technology that helps people find great therapists with the first software-enabled national network of providers accepting insurance.
1 in 4 people in the US have a treatable mental health condition, but the majority of providers don’t accept insurance, making therapy too expensive for most people. Headway is building a new mental healthcare system that everyone can access by making it easy for therapists to accept insurance and scale their practice.
Headway was founded in 2019. Since then, we’ve grown into a diverse, national network of over 60,000 mental healthcare providers across all 50 states who run their practice on our software and have served over 1 million patients. We’re a Series D company with over $325m in funding from a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures and Health Care Service Corporation.
We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better.
As Senior Data Science Manager for Customer Experience, you will define and lead the insights strategy for Headway’s customer experience ecosystem. The team’s mission is to deliver timely, meaningful support when it matters most through best-in-class tooling, automation, and AI.
You will report into Headway’s Platform Group, a mission-critical pillar that ensures the systems behind our insurance platform reliably power patient, provider, and payer experiences. World-class support is a core part of customer experience and essential to Headway’s growth.
You will partner closely with Product, Engineering, and Customer Experience to deeply understand and improve the customer support experience. You will define the right questions, proactively uncover opportunities, and use data to guide decisions from early concept through launch and iteration. You will set the standards for how we define support quality and effectiveness, ensuring your team delivers work that leads to real, measurable improvements.
You will:
The expected base pay range for this position is $212,000 - $265,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.
We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.