SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Nourish is a dietitian-led metabolic health clinic and AI-native digital health system that has raised $215M in total funding (including a $100M Series C in 2026). The company matches patients with 10,000+ Registered Dietitians, physicians, medications, lab testing, and AI agents to deliver insurance-covered care across all 50 states. With millions of completed appointments and partnerships covering 200M+ Americans across 250+ health systems, Nourish is transforming how chronic disease is managed.
You will lead the Provider Quality team as an Engineering Manager, reporting to the Director of Engineering. This team owns the clinician experience platform—a major product and technical initiative evolving from a traditional chart into an intelligent, data-driven, real-time care platform. During a session, the platform transcribes conversations and surfaces relevant, condition-specific guidance while keeping clinical judgment front and center. After the session, the same intelligence layer powers chart notes, personalized coaching, and provider development.
This is a hands-on leadership role for someone who enjoys developing engineers, shaping products, and remaining close to architecture and implementation. You will work closely with clinical leadership, product, design, and data to define what high-quality care looks like, translate it into useful products, and measure its effect on patient and provider outcomes.
Key responsibilities include:
- Build, lead, and develop a high-performing team of 4–5 engineers with strong technical ownership
- Coach engineers through regular feedback, career development, calibration, and performance management
- Scale the team through recruiting, interviewing, hiring, and onboarding
- Stay hands-on through architecture, pair programming, coding, code reviews, and on-call
- Partner with product and design to write requirements, shape roadmaps, scope work, plan sprints, and deliver measurable outcomes
- Drive thoughtful decisions around system design, code quality, observability, reliability, and scalability
- Establish effective team rituals, including sprint planning, OKR planning and reporting, quarterly planning, and retrospectives
- Operate with urgency and sound judgment in a fast-paced, ambiguous environment
- Set the technical and product direction for the clinician-facing quality platform
- Build AI-assisted workflows that transform session transcripts into accurate chart notes, coaching insights, and useful quality signals
- Create prescriptive experiences that help clinicians identify and take the optimal next action for each patient
- Partner closely with clinical leadership, providers, product, design, data, and compliance to define and measure care quality
- Design human-in-the-loop systems with strong evaluation, observability, privacy, and safety practices
- Connect quality improvements to patient outcomes, retention, and clinician effectiveness
This is a full-time role. The company strongly prefers candidates based in New York City or San Francisco, with exceptions for truly exceptional candidates.
REQUIREMENTS:
- 6+ years of professional software engineering experience with modern full-stack technologies
- 2+ years of hands-on engineering management experience
- Experience hiring engineers and managing performance, promotions, and career development
- Ability to remain technical enough to pair program with your team and contribute directly when needed
- Exceptional product judgment: ability to write a PRD, critique or mock a design, size an opportunity, and make progress without waiting on a PM
- High proficiency with React, TypeScript, Node.js, PostgreSQL, or similar modern stacks
- Shipped and owned production systems in a fast-moving, ambiguous environment
- Balance people leadership with technical depth, delivery focus, and clear communication
- Energized by Nourish's mission to improve people's health
NICE TO HAVE:
- AI/ML product experience, especially LLM evaluation or human-in-the-loop systems
- Clinician-facing products
- Privacy-sensitive workflows
- Regulated technology
