Director, Engineering Patient

1 in 4 people in the US have a treatable mental health condition but most providers dont accept insurance making therapy too expensive for most people. Headways mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing claims payment reconciliation - is a nightmare. Weve automated that.

But were going further. Over 70000 providers across all 50 states run their practice on our software serving over 1 million patients. We are building the best tools for therapists to run their entire practice reimagining the experience of finding a therapist and investing in the platform foundations to enable this at scale. We arent just a billing layer; we are becoming the platform where care actually happens.

Were a Series D company with $325M in funding (a16z Accel GV etc.) looking for exceptional people to help us achieve this mission. 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 Headway

Headways mission is to build a new mental health care system that everyone can access. Weve built technology that takes the hardest parts of mental healthcare finding the right provider navigating insurance managing payments and makes them simple. Were now one of the fastest-growing companies in healthcare with more than 200000 patients finding care through Headway and thousands of therapists using our platform to grow their practices.

About Patient Core Experience at Headway

The Patient Core Experience team owns how patients find the right therapist on Headway. From search through the first several sessions our four engineering pods Onboarding Profiles Checkout Ranking Relevance and Activation build the systems that make great therapeutic matches happen.

We operate a three-sided marketplace (patients providers payers) with real complexity and massive impact. Were evolving from a provider directory into an intelligent matching platform that uses communication style data-backed expertise signals and patient-reported outcomes to connect people with therapists who are genuinely right for them.

Principles that guide us:

• Matching quality is the foundation of therapeutic outcomes we obsess over getting patients to the right provider
• We ship fast and learn fast but we protect patient trust above all else
• We build for the whole marketplace: patients providers and payers
• ML powers our systems but empathy drives our product

The Problems Youll Solve

This role exists because we have hard specific challenges that need senior engineering leadership to crack. Heres what your first year looks like:

Build an ML-powered matching system from the ground up. Our current matching is largely filter-based. We need to move to ML-powered ranking that incorporates provider communication style expertise signals and patient outcome data without degrading the patient experience during the transition. Youll define the technical strategy for how we get there and own the execution across multiple pods.

Rearchitect team topology as the product evolves. We have four pods today but the boundaries between ranking activation and onboarding will shift as we move toward intelligent matching. Youll need to evolve team structure ownership boundaries and technical interfaces as the product changes shape. This includes scaling the org from 18 to 25 engineers while maintaining velocity and quality.

Close the gap between engineering output and patient outcomes. We have patient funnel metrics (intake-to-match match-to-book book-to-retained) but engineering doesnt yet co-own them tightly enough with Product and Data. Youll establish the operating model where engineering product and data science jointly own these metrics in a true triad not one where engineering is an execution arm.

Define how your teams build software in the AI era. This isnt about adding a bullet point on AI tooling. Youll set concrete standards for how your 30 engineers use AI-assisted development how it changes code review testing strategy onboarding and potentially team composition. Youll also own the AI/ML strategy for the product itself: where we use ML models vs. heuristics how we handle explainability in a healthcare context and how we build patient trust in AI-driven recommendations.

Key Responsibilities

• Set engineering strategy for the core patient experience in partnership with Product and Data Science leadership
• Lead 3 Engineering Managers; scale the org from 18 to 30 engineers over the next 18 months
• Co-own patient funnel metrics with your Product and Data counterparts not just deliver against them
• Drive delivery of ML-powered ranking reimagined patient onboarding and patient activation systems
• Build an engineering culture with clear standards for velocity quality and technical excellence starting with honest assessment of where we fall short today

What You Bring

Required experience:

• 10 years of software engineering experience 5 years managing engineering managers
• Led engineering for a consumer or marketplace product where search matching ranking or personalization was core to the business
• Scaled an engineering org through a high-growth phase (25 to 50) while maintaining velocity and quality
• Technically strong enough to make sound architecture calls on ranking/ML systems marketplace infrastructure and consumer-facing surfaces you dont write code daily but you can review a system design and spot the problems
• Experience shipping ML-powered product features (search ranking recommendations personalization) at consumer scale
• Track record of moving business metrics (conversion retention engagement) through engineering-product partnership not just delivering features on time
• Comfort working in a regulated industry where you cant just ship fast you need to reason about bias explainability and patient safety in ML systems
• Practiced perspective on AI-augmented engineering workflows youve led teams through adoption of AI development tools and have opinions on what changes and what doesnt

Nice-to-have:

• Healthcare experience or other regulated industries where data sensitivity and clinical consequences raise the stakes
• Experience with marketplace dynamics (supply/demand balancing multi-sided incentive design)
• Experience building LLM-based product features (conversational interfaces intelligent triage AI-assisted workflows)
• Experience rethinking team structure or hiring profiles in response to AI productivity gains

Our Stack

Our platform runs on Python (Django/FastAPI) and TypeScript/React on the frontend. Elasticsearch powers search and ranking. PostgreSQL and Redis handle data storage and caching. We use dbt and Snowflake for data pipelines Temporal for workflow orchestration and custom ML models for matching. Everything runs on AWS.

You wont be writing code daily but youll need to engage deeply enough with these systems to make sound technical and organizational decisions.

Youll Love This Role If You Want To

• Solve a genuinely hard problem at the intersection of ML marketplace dynamics and healthcare where getting matching right has real clinical consequences
• Shape an engineering org during a foundational transition with high autonomy and strong executive support
• Co-own patient outcomes not just engineering output
• Work at a company where the mission isnt marketing copy patients are actually getting access to therapy they couldnt get before

Compensation and Benefits:

The expected base pay range for this position is $264000 to $330000 based on a variety of factors including qualifications experience and geographic 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.

• 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 teams 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 inform the recruiter when they contact you to schedule your interview.

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