Principal Product Engineer; Full-Stack

Position: Principal Product Engineer (Full-Stack)
Principal Engineer

Parsley Health
· Engineering
· Remote (US), with 2-5 days/month in our NYC office
· Full-time

About Parsley Health

Parsley Health is rebuilding primary care around root-cause, whole-person medicine. Our members get board-certified clinicians, health coaches, advanced testing, and a care platform that connects the dots across all of it.

The moment

We're at the start of the most interesting engineering chapter in our company's history. The team is small, the surface area is large, and the decisions we make over the next year - about architecture, tooling, hiring, and how humans and AI build software together - will shape the product for years. We're hiring the engineer who can be at the center of that.

The role

As Principal Engineer, you're the senior-most individual contributor on a small, high-leverage team. Your main job is to ship new products and systems, fast, at a high quality bar, with AI as a core capability in how you work. You set the bar - for product judgment, code quality, design, production rigor, and hiring - through the example of your own work.

You also own and maintain the infrastructure and backend that carry the product. It's not your full-time focus, but you understand the stack deeply enough to keep it healthy, debug it when it matters, and make the right architectural calls when they come up.

You'll work directly with the VP of Engineering and partner across Product, Clinical, and Security.

What you'll do in your first 6 months

* Ship new product surface area, fast. Take new ideas from zero to production with a quality bar that makes the rest of the team raise theirs. AI is how you compress weeks into days.

* Stand up AI-native workflows for the team. Define how we use Claude, Cursor, and the rest of the toolchain - patterns, evals, guardrails, prompts - so AI leverage is a team capability, not a personal habit.

* Keep the foundations healthy. Own the backend and infra well enough to make sure nothing brittle ships and production stays boring. CI/CD, deploy hygiene, observability, architecture decisions.

* Set the hiring bar. Be the technical screen and the reason strong candidates say yes.

What we're looking for

Primary requirements

* A track record of using AI to build real products and systems dramatically faster than the old way - with no loss of quality. You have strong, lived opinions about where AI tools shine and where they lie, and shipped work that proves it.

* Excellent product judgment. You understand the user, you know what to build and what to cut, and you make the calls that a junior engineer would defer up.

* An unusually high quality bar for code, design, production rigor, and what "done" means.

* Founding-engineer DNA - or an ex-CTO/VPE coming back to the code. You're effective in small, high-trust teams with wide scope and ambiguous problems.

Important, but not the most critical

* Solid backend experience in Go or Kotlin (strong preference for both) - enough to own services, not just pass them through.

* Competent with AWS or GCP (preference for GCP) and with production Kubernetes. You can debug it, evolve it, and know when to stop improving it.

* Full-stack comfort across Node/Type Script services and React/Next.js on the frontend.

Compensation & Benefits

* Generous compensation package based on experience

* Equity stake for all employees based on role level

* 401(k) + Employer Matching program

* Hybrid opportunity with remote work and on site at our NYC HQ

* Complimentary Parsley Health Complete Care membership

* Subsidized Medical, Dental, and Vision insurance plan options

* Generous flexible time off plan

* Annual professional development stipend

* Annual wellness stipend

Parsley Health is committed to providing an equitable, fair and transparent compensation program for all employees.

The starting salary for this role is between $240,000 - $350,000, depending on skills and experience. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.

Individual compensation decisions are based on a number of factors, including experience level, skillset, and balancing internal equity relative to peers…