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 take insurance and scale their practice.
Headway was founded in 2019 – since then, we’ve grown into a diverse, national network of over 25,000 mental healthcare providers across all 50 states who run their practice on our software. We’re a Series C company with over $225m in funding from a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, 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.
Building a new mental healthcare system at Headway is only possible because of the scale and leverage that software can provide. The infrastructure engineering team at Headway is a small but mighty team building our AWS infrastructure, automated deploy processes, and developer experience that helps us deliver a best-in-class experience for our patients and therapists. As we scale, we're looking for an experienced Data Infrastructure Engineer to help us design and build the infrastructure to support the growth of our data engineering, data analyst and machine learning teams. In this new role, you'd report to our Head of Infrastructure and work closely with our Infrastructure, Data Engineering, and Machine Learning teams to support infrastructure needs as we grow in traffic, data, and scale. _Please note that this is not a data engineering role. _
Focus on the mission: We view software as a means of effecting change in the world, not as an end unto itself. We write software to empower our patients and therapist to better solve the problems they’re facing.
Ship small, learn fast: We are building new and novel products and believe that we learn what our users need by quickly shipping and iteration.
Everything is a product: Whether it's our patient search experience or a developer productivity improvement, we treat everything we build at Headway as a product with end-users in mind.
Optimize for trust: We believe that engineers should be continually learning. To learn effectively and to be productive, engineers must feel safe asking questions and discussing mistakes.
We’re looking for data-focused infrastructure engineers who have the ability to deal with ambiguity and learn new technologies and systems in a fast-paced, high-growth environment. Below are some additional experiences we think help engineers succeed at Headway.
Experience we’re seeking:
* Experience with monitoring and APM tools (Datadog, New Relic, etc.)
After you apply to Headway, here are some details of what to expect during the interview process.
Compensation and Benefits:
Salary information is based on a single salary target per role:
Benefits offered include:
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 email@example.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.