About the job
At Headway, we are on a transformative mission to revolutionize mental health care accessibility for all. Our innovative technology is designed to connect individuals with exceptional therapists through the first software-enabled national network of providers who accept insurance.
With 1 in 4 people in the U.S. facing treatable mental health conditions, the lack of insurance acceptance by providers often makes therapy financially unfeasible. At Headway, we are committed to dismantling these barriers by simplifying the process for therapists to accept insurance and expand their practices.
Founded in 2019, Headway has rapidly evolved into a diverse and expansive network of over 60,000 mental health care providers across all 50 states, utilizing our software to serve more than 1 million patients. As a Series D company backed by prominent investors such as a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures, and Health Care Service Corporation, we are well-positioned for continued growth.
We aspire for your time at Headway to be the most meaningful experience of your professional journey. Join us and help transform mental health care for the better.
About Engineering at Headway
Our engineering team is pivotal in shaping a new mental health care system, leveraging the power of software to create impactful solutions. With a compact team of around 120 members, we are dedicated to utilizing technology to build a better future while enjoying the process.
Our Guiding Principles:
- Mission-Driven Focus: We perceive software as a vehicle for enacting meaningful change, not merely as an end product. Our goal is to empower both patients and therapists in overcoming their challenges.
- Rapid Iteration: We are engaged in developing innovative products, believing that we can identify user needs through swift deployment and continuous learning.
- Product-Centric Mindset: Every feature we create, whether enhancing patient search experiences or boosting developer productivity, is treated as a product with end-users in mind.
- Trust Optimization: We value an environment of continuous learning. To achieve this, engineers must feel secure in asking questions and discussing errors.
Our Technological Stack:
- Languages: Python 3, TypeScript
- Frameworks & Libraries: FastAPI, SQLAlchemy, React, Remix...

