Founding Product Engineer (Remote)

@ Glass Health Inc.

Founding Product Engineer (Remote)

Posted 30 months ago

This job is still taking applications, but it's been up a while.

About the job

Glass Health is creating AI tools to optimize patient care, reduce burnout, and advance healthcare equity. This founding product engineer role offers ownership and impact in a fast-paced, collaborative environment, focusing on innovative AI for clinical decision support.

Requirements

5+ years engineering experience
TypeScript/React frontend
Python backend
Experience scaling systems
Ownership mentality

Qualifications

Bachelor's degree preferred
Passion for healthcare
Ability to work remotely
Strong collaboration skills

Full job description

About Glass Health

Glass Health was physician co-founded because we believe that technology should be fully leveraged to optimize the practice of medicine and improve patient care. We’re building the better tools we as physicians want, so we can spend more quality time with our patients.

To this end, we have set out to empower clinicians with the best-in-class AI for clinical decision support (CDS).

We aim to increase diagnostic accuracy, improve the implementation of evidence-based medicine, accelerate the achievement of health equity, eliminate clinician burnout, and improve patient outcomes worldwide.

About the role:

We’re looking for experienced, problem-solving engineers across the stack (Product, Full-Stack, Backend, Applied AI/LLM) to build new products and grow existing products. Our success depends on our ability to quickly iterate on products, while also ensuring that they are performant and reliable. You’ll work in a deeply iterative, collaborative, fast-paced environment to bring our technology to tens of thousands of users, and ensure it’s delivered with finesse and reliability in mind.

While we have a head-start, this is a Founding engineering role - you will have expanded ownership, a defining impact on the success of the company, and play a crucial part in shaping the future of healthcare.

Depending on the role, you will:

Design and build the development and production platforms that power our new products, enabling reliability and security at scale
Own the development of new user-facing generative AI features and product experiences end-to-end
Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world
Accelerate engineering productivity by empowering your fellow engineers with excellent tooling and systems
Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think
Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed

You might thrive in this role, if you:

Have 5+ years of engineering experience in various tech environments, including product-driven companies.
Have experience with TypeScript/React on the frontend, Python on the backend, adaptability, and a drive to learn new technologies.
Are comfortable taking ownership in an ambitious, fast-paced and diverse startup environment.
Possess significant experience in designing, building, and scaling production systems to deliver new product capabilities and manage increasing demand.
Are committed to creating outstanding user experiences and take pride in developing solutions that meet customer needs.
You are excited about and stay up-to-date with rapidly advancing changes in AI and LLM technology.
Demonstrate humility, a collaborative spirit, and a willingness to support your colleagues to ensure team success.
Take ownership of challenges from start to finish, and are proactive in learning new skills as needed.
Build tools to accelerate your own (and your teammates’) workflows, but only when off-the-shelf solutions won’t do.
Have experience in startup environments, either as a founder or an early-stage engineer (bonus points, not required).
Are familiar with healthcare, EHR, HIPAA & other healthcare regulatory structures (bonus points, not required).

Tech Stack

LLMs: OpenAI & similar
Backend: Python, Django, Postgres
Frontend: React, Typescript
Infrastructure: GCP, Docker

Compensation, Benefits and Perks

Flexible work hours & generous PTO
High autonomy and support from a collaborative team
New Macbook Pro
Work from home stipend
Personal development stipend

Why join Glass?

You dream of improving healthcare with us for both patients and physicians.
You want to join a company that’s always been focused on improving patient care. Since 2022, Glass has already helped physicians-in-training and physicians with better tools including our DDx, Clinical Plan and Glass Notebooks. We have just launched our game-changing AI CDS to provide doctors with real-time suggestions and insights.
You’re passionate to serve our growing, immensely loving and respectful community, including 150+ physicians & physicians-in-training.
Be on the bleeding-edge of AI. We strive to be the best-in-class AI CDS, and we’ll be harnessing and developing novel approaches along the way.
We are at an inflection point on our startup journey. We’ve raised 6.5M (including 5M seed round) from:
Top-tier investors, such as YCombinator and Initialized
Our first health system partner, Kaiser Permanente Mid Atlantic
Top healthcare CEOs, including Tom Lee of One Medical, Heather Hasson & Trina Spear of FIGS, Connor Landgraf of Eko Health, Othman Lararki of Color Genomics, and Dan Siroker of Rewind and Optimizely. We will raise our Series A this year.

Interview process

Initial background/light technical interview (45 mins)
Live coding challenge (1 hr)
Final interview: System design problem + realistic work simulation challenge (live; ~1.5-2 hr)

Glass Health is an equal opportunity employer. We celebrate our diversity and are committed to creating an equitable and inclusive team environment that reflects the patient communities we serve. We especially encourage applicants from historically under-represented and under served communities to apply.

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

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