Member of Technical Staff

About the role

Blossom Health exists to solve the mental health epidemic in America by partnering with psychiatrists to expand access to affordable, timely, clinically-effective mental healthcare. Our AI-native care platform is loved by hundreds of clinicians and thousands of patients.

We’re a Series A company with $20M+ raised from Headline, Village Global, and the founders of General Catalyst, Flatiron Health, Sword Health, Grow Therapy, Fay, Elemy, Zip, Blank Street, Assured, Bridge, Birches Health, and Enzo Health.

WHY YOU SHOULD WORK HERE:

- 🚀 Hyper-growth environment: Get firsthand exposure to how a startup scales from 0→1→n, with visibility across product, engineering, and operations

- 🤝 High trust and autonomy: You’ll own meaningful projects from day one and shape both technical decisions and product direction. We trust engineers to figure out the best path forward - without micromanagement.

- 🧠 Talent-dense team: Work with a top-percentile team built on mutual respect and admiration, with shared goals, motivations, and vision for the future.

- ⚡ Real impact: Your code will directly improve access to mental health care for thousands of patients and clinicians

WHAT WE'RE LOOKING FOR:

- Highly motivated, ambitious, and capable - looking to tackle a large, meaningful problem area

- Ownership mindset - thinking for the long-term and placing the business and our customers first

- High velocity and high excellence - have a real sense of urgency to move quickly and take pride in the quality of your work

- An explorer - comfortable with ambiguity and autonomy, seeking to answer questions previously unasked, to leap into the unknown

- An optimist - you believe in a tomorrow better than today

- A builder - you take joy in bringing new creation to the world, in leveraging technology to make useful things

- Humble - you use your gifts in the service of others and understand that success is an output, not an input

WHAT YOU'LL DO:

- Build and ship AI-native product experiences used directly by clinicians and patients

- Design and develop LLM-powered systems and agents that automate and augment complex healthcare workflows

- Own AI features end-to-end, from prototyping and experimentation through production deployment, evaluation, and iteration

- Build robust evaluation, monitoring, and feedback systems to continuously improve AI quality, reliability, and performance

- Work across models, prompts, tools, retrieval systems, and application infrastructure to solve real-world product problems

- Move quickly from emerging AI capabilities to production-ready experiences that deliver measurable value

- Collaborate closely with clinicians and engineers to understand complex healthcare workflows and determine where AI can have the greatest impact

YOU'LL THRIVE HERE IF YOU: