VP of Engineering

Duet•New York, NY

1d•$225,000 - $250,000•Hybrid

About The Position

Duet empowers Nurse Practitioners to run and grow independent primary care clinics—closing gaps in access while keeping care local. We're a well-funded seed-stage company led by experienced entrepreneurs and Nurse Practitioners, backed by Kairos HQ, Lerer Hippeau, and others. Duet is building a vertically integrated enablement platform for NP-led practices: software that reduces administrative overhead, improves cash flow, and gives clinicians leverage to operate sustainable businesses without corporate consolidation. We've already built the data foundation that connects to outpatient EHR and practice management systems and supports these workflows through services today. This role is about owning the technical vision that turns that foundation into scalable, self-serve products—and building the team and systems to get there. As Duet’s VP of Engineering, you'll be the architect and primary builder of Duet's product engineering stack. You'll lead a small but growing data and engineering team, setting technical direction while staying deeply hands-on. You'll define the technical roadmap, build the systems that scale it, and develop the team that sustains it. You'll own the architecture that powers Duet's customer-facing products: data-intensive applications that surface complex healthcare and practice management data through clean, usable interfaces. You'll work across the full stack, from backend systems and data pipelines through to the application surfaces that clinic staff interact with daily. This role will be a part of the founding team and is ideal for someone who thinks in systems, builds with urgency, and gets energy from turning messy real-world problems into well-structured software.

Requirements

8+ years of experience building production web applications, with a track record of owning significant technical surface area.
Strong backend and data engineering instincts. Our app ingests, processes, transforms, and serves up data at the application layer.
Experience building data-intensive customer-facing applications. You understand how to make complex data usable and legible to non-technical users.
Proficiency in Python, Javascript and experience designing and building RESTful APIs.
Full-stack capability with backend as your center of gravity.
Experience with cloud data warehouses and modern data tooling.
Experience managing an engineering team across the front and back end, with a drive to mentor and scale the department
A product engineering mindset - you think about what you're building from the user's perspective, not just the system's.

Nice To Haves

Healthcare, billing, or claims data experience will meaningfully accelerate your impact. Similarly, experience turning internal tools or managed services into self-serve customer-facing products maps directly to what we're doing. Experience with workflow automation or rule-based systems is a plus.

Responsibilities

Drive the technical strategy. Own architectural decisions across the stack - from how data flows out of EHR and practice management systems, through backend services and business logic, to how it's presented in customer-facing applications. Make pragmatic choices that balance speed with durability at an early-stage company. Establish engineering standards, patterns, and practices that scale as the team grows.
Build Data-Intensive Products. Design and implement backend systems that transform complex healthcare data into products practices actually use. Build the application surfaces - dashboards, workflows, operational tools - that put that data in the hands of clinic staff. You're as comfortable modeling data and writing performant queries as you are building the UI layer that makes that data useful.
Turn Services Into Software. Work closely with operations and product to understand how work is done today. Identify patterns in manual, service-driven processes and translate them into durable software abstractions - configurable workflows, rule-based automation, and self-serve tools that replace human-in-the-loop work.
Manage and Grow the Team. Define the vision for how the technical organization is structured and scales, and own the end-to-end hiring process that builds it. Provide technical leadership to a small data and engineering team through architecture guidance, code review, and mentorship. Help onboard engineers as the team grows. Create an environment of ownership, clarity, and high standards.
Own Quality & Reliability. Write thoughtful tests for workflow logic and core systems. Debug production issues and improve systems based on failure modes. Ensure changes are safe, observable, and reversible. Set the bar for what "production-ready" means at Duet.