Lead Engineer

About this role

Lead Engineer

Parsley Health · Engineering · Remote US, with a strong preference for NYC metro · 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.

We are a mostly virtual medical practice with care available across the country, and we recently expanded in-network access nationwide. As we grow, our product and engineering teams are focused on building the systems, workflows, automation, and AI-enabled tools that help our clinical team scale without compromising quality of care.

About the role

We are hiring a Lead Engineer to lead a small, high-leverage engineering team while staying deeply hands-on in the code.

This is a player-coach role, with dual focus on direct IC work and engineering management. You will spend roughly 60–70% of your time designing and shipping code; you will also manage one full-time engineer and help coordinate a small group of contractors.

The right person brings strong technical judgment, a high quality bar, comfort working across the stack, and enough product instinct to make smart tradeoffs in close partnership with Product, Clinical, Design, Data, and Security.

You will help turn business and clinical priorities into reliable, scalable software. You do not need to own product strategy end to end, but you should be able to understand user needs, ask good questions, challenge unclear requirements, and help the team move from idea to shipped solution quickly and responsibly.

This role reports to the CTO and is remote by default. Because most of our team is based on the East Coast, we strongly prefer candidates in the Eastern or Central time zones who are comfortable working an Eastern time schedule. Candidates in the New York City area are especially well positioned, as they will have opportunities to work periodically from our office and collaborate in person with clinicians and senior leaders.

What you’ll do

Lead a lean engineering team

You will manage 1-2 full-time engineers and help coordinate work across 3-4 additional developers. You'll work directly with the CTO to define technical strategy, as well as the structure, clarity, and follow-through needed for the team to thrive. You will provide clear feedback, help prioritize work, unblock execution, and support a team environment where engineers understand what matters and can do their best work.

Own technical direction

You are the most senior technical decision-maker on the team: you own architecture calls, take on the hardest problems yourself, and set the quality bar through your own code and design reviews.

Stay hands-on and ship

You will design and ship meaningful product and platform work yourself — backend services, fullstack features, integrations, internal tools, and infrastructure improvements. Your output as an engineer is a core part of this role.

Partner closely with Product and Clinical teams

You will translate clinical and operational needs into practical technical plans, help scope work, and make smart tradeoffs around speed, quality, risk, and complexity.

Support AI-enabled engineering practices

You will use tools like Claude, Cursor, and other AI-assisted workflows to improve engineering speed and quality, while maintaining strong judgment around security, privacy, accuracy, and production risk.

Keep the foundations healthy

You will help maintain and improve backend services, infrastructure, deploy hygiene, observability, production reliability, and architectural decision-making.

What we’re looking for

Required experience

• Strong full-stack engineering experience across backend services and modern frontend applications

• Experience as a tech lead who also managed people — or a staff-level IC who has mentored engineers, led projects end to end, and wants to add light management

• Strong backend experience in Go or Kotlin, with a preference for candidates who have worked in both

• Comfort across Node, TypeScript, React, and Next.js

• Experience with cloud infrastructure in AWS or GCP, with a preference for GCP

• Experience running or supporting production workloads on Kubernetes

• Strong product judgment and the ability to partner well with Product, Clinical, Design, Data, and Security

• Practical experience using AI-assisted engineering tools to move faster without lowering the quality bar

• A high bar for reliability, security, code quality, documentation, and what “done” means

• Comfort in a small, fast-moving environment where priorities can shift and the team needs people who can both lead and execute

Nice to…