Tech Lead, Platform

M7 Health•New York City, NY

1d•Hybrid

About The Position

M7 Health is hiring a hands-on Tech Lead to lead its Platform team, which builds the scheduling and staffing experiences used by nurses and clinical leaders. The team owns workflows for building and publishing schedules, surfacing and filling open shifts, modeling positions and staffing structures, and managing staffing across multiple hospitals. The role is approximately 70% engineering and 30% leadership, with most time spent writing and reviewing production code, designing systems, and debugging challenging problems. The remainder is focused on setting technical direction, improving quality, and unblocking the team. The Tech Lead will report to the Head of Engineering and run the day-to-day work of the Platform squad, owning technical direction, code review, and delivery. Initially, the role focuses on technical leadership; as the team grows, it is expected to take on direct reports and formal people-management responsibilities. The role includes shipping high-visibility product features for hospital operations nationwide, evolving the backend and data model as the product scales from unit-level scheduling to health-system-wide staffing, and partnering with product managers and healthcare operations experts. The Tech Lead is also expected to bring customer problems into technical planning and build AI into both the product and the team's working practices. The position follows a hybrid structure, with two days per week in the Manhattan office. Applicants must be authorized to work in the United States. Compensation includes cash compensation, an annual performance-based bonus, and healthcare benefits.

Requirements

At least 6 years of experience building and operating production software, with a track record of owning systems end-to-end.
Continued interest in writing code and working in a role where hands-on engineering remains central.
Experience leading or mentoring engineers, such as as a tech lead, team lead, or senior engineer.
Ability to raise engineering standards through example, code review, clear technical direction, and developing others.
Full-stack proficiency.
Strong communication skills, including the ability to explain complex ideas clearly and work with non-technical colleagues and clinical operators.
Product intuition and ability to make usability- and impact-oriented tradeoffs and identify the problem behind a feature request.
Ability to turn ideas into software, iterate quickly on feedback, and balance individual contribution with unblocking the team.
Comfort working with ambiguity, prioritizing impact, and contributing beyond narrowly defined responsibilities.
Fluency with AI coding assistants in daily work and interest in AI-assisted team tooling.
Alignment with M7's values: urgency, curiosity, kindness, and high standards of craft; passion for the mission of strengthening health systems.
Authorization to work in the United States.

Nice To Haves

Experience with React, TypeScript, and Vite on the front end.
Experience with Node.js, NestJS, and TypeORM on the back end.
Experience with PostgreSQL.
Experience with AWS or similar cloud infrastructure.
Background at a healthcare SaaS company or experience with the operational complexity of large hospital networks.
Experience modeling complex scheduling, workforce, or resource-allocation domains.
Experience building products with AI or ML features on top of core application data.
Venture-backed startup experience and comfort operating in a fast-growing environment.

Responsibilities

Lead the Platform squad and run its day-to-day work, including setting technical direction, owning delivery, and growing engineers.
Write and review production code, design systems, and take on difficult engineering problems.
Strengthen engineering practices and quality standards for a product where scheduling errors can affect hospital staffing.
Grow into formal people management as the squad scales, including career development and performance management.
Ship product features for scheduling, shift management, open-shift filling, and system-wide staffing.
Evolve the backend and data model as M7 expands from unit-level scheduling to health-system scale and new clinical settings.
Partner with product managers and healthcare operations experts to translate clinical realities into usable software.
Bring customer problems into technical direction and planning.
Build AI into the product and into how the team works and ships.
Deliver features and fixes early, learn the domain through customer problems, make delivery predictable, and establish technical direction for the Platform roadmap.