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Senior Manager of Data Engineering/Data Platform

New York, New York, United States; Remote; San Francisco, California, United States; Seattle, Washington, United States

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 45,000 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.

About this role 

Headway is looking for a Senior Data Engineering Manager to help us get closer to executing our mission: to create access to affordable, quality mental healthcare across the United States. Data plays a critical role in Headway’s mission by empowering business decisions and operations at scale. The data engineering team builds the platform on which we process financial data and make business decisions. The data engineering team is partnered with most of the teams across Headway including the finance team, insurance systems team, data analytics, product and data science teams.

As the Data Engineering Manager at Headway, you will work closely with the Head of Data to help shape the future of the data organization. You’ll grow and lead our Data Platform team and build out our next generation of data platform systems. This is an exciting opportunity for a passionate, mission-aligned engineering leader to make an immediate impact on our rapidly scaling engineering and product team. 

You will:

  • Lead and manage a team of 5+ engineers with headcount for growth
  • Help plan and build our next generation data platform systems with an eye toward scalability and stability
  • Work directly with business, finance, and product stakeholders to roadmap and align projects
  • Develop and grow your team through weekly 1-1s, mentorship, and feedback
  • Work with and help develop aspiring engineering leaders within the engineering team
  • Contribute to the broader company strategy and product roadmap

You will love this role if: 

  • You have 5+ years of experience as a Data Engineer
  • You have 5+ years of experience as an Engineering Manager 
  • You enjoy building things from the ground up
  • You have have a track record of working well across teams and functions
  • You have prior experience with Python, Spark
  • You have prior experience building infrastructure for ML and AI systems supporting iterative model training
  • You have built data platform systems on common PaaS such as AWS, FiveTran, Snowflake and/or DBT

Compensation and Benefits:

The expected base pay range for this position is $215,900 - $254,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for performance-based variable compensation and 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.

  • Benefits offered include:
    • Equity compensation
    • Medical, Dental, and Vision coverage
    • HSA / FSA
    • 401K
    • Work-from-Home Stipend
    • Therapy Reimbursement
    • 16-week parental leave for eligible employees
    • Carrot Fertility annual reimbursement and membership
    • 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
    • Flexible PTO
    • Employee Assistance Program (EAP)
    • Training and professional development

We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience.

Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please contact talent@findheadway.com

Headway employees work remotely across the US, with the option to work from offices in New York City and San Francisco. Headway participates in E-Verify. To learn more, click here.

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We believe that to build the best startup team, we must build a diverse, equitable and inclusive team. We encourage people from all backgrounds to apply to all roles, and we proactively work to design hiring processes that mitigates bias. To help us track the parity in our candidate pipelines and efficacy of our recruiting efforts, please consider answering the following demographic questions. 

While completion of this survey is required, you will have the option to select “I don't wish to answer” for all questions. Your responses will be used (in aggregate only) to help us identify areas of improvement in our process.

Your responses will not be linked to your specific application and will not in any way be used in the hiring decision. 

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