Senior Fullstack Product Engineer

About No Diet

No Diet Dietitian is building a new standard for nutrition care: clinically rigorous, therapeutically grounded, technology-enabled, deeply human, and accessible nationwide.

Nutrition should help people care for their health and feel at home in their bodies. But for too many people, food has become a source of confusion, shame, fear, or failure. They're handed restrictive diets, generic meal plans, weight-loss promises, and "accountability" that often feels more like judgment. People with complex nutrition needs — eating disorders, GI conditions, diabetes, PCOS, menopause and midlife health, perinatal nutrition, chronic disease, food anxiety, body image struggles — are too often left with care that is shallow, fragmented, or overly focused on the scale.

We're an RD-led, evidence-based, anti-diet telehealth practice helping people improve their health and heal their relationship with food. Our model combines condition-specific nutrition interventions with therapeutic tools like Motivational Interviewing and CBT-informed behavior change. We build care around the whole person: their diagnosis, goals, biology, lived experience, history with food, and real-life constraints — so clients can build lasting skills, confidence, and trust in themselves.

We're growing quickly because the need is enormous. To meet it, we're building the infrastructure required to deliver excellent nutrition care at scale: exceptional clinicians, strong clinical supervision, thoughtful operations, trusted marketing, disciplined finance, and technology that removes friction and improves consistency. We're investing in AI throughout the stack so our team can spend more time on the human work only they can do.

This is a place for people who believe better nutrition care should exist — and want to help build it.

The role

You'd report to Justin (CTO and hiring manager) and own the full-stack product systems that turn inbound interest into a delivered first session — the scheduling and matching platform, the internal front-desk workflow, the marketing site it lives on, and the marketing engineering layer behind all of it. The scheduling experience is the real technical challenge: it has to connect HubSpot, our EHR, RD availability and preferences, patient intake, analytics, lifecycle follow-up, and eventually AI-assisted matching into one reliable product surface.

You’ll be one of two new engineers joining Justin as we build the foundation of No Diet’s future engineering organization. We use agentic tooling heavily, and rely on human judgment for systems architecture, tooling choices, and developer ergonomics.Justin is a hands-on engineering lead. He's in the codebase daily — pairing on architecture, reviewing code, shipping platform and product work alongside you. He has strong opinions about observability, AI tooling, and product quality, and he expects you to bring sharper opinions of your own. We're hiring senior engineers who can own their areas of responsibility and bring strong proposals for future product and architecture directions.

How we win

Our distribution today is anchored in clinically-credentialed buyers — physicians, clinical platforms, hospital systems — who trust us with their patients because our clinical depth is real and observable. The key challenge on the product engineering side is shipping the surfaces that turn that trust into a delivered first session: how we get found, how the scheduling experience matches an inbound patient to the right RD, how the lifecycle automation behind it moves interest through to a first appointment without humans paging an engineer.

The work, today

The scheduling experience

Build the internal and external scheduling experience end-to-end. This means patient-facing booking, front-desk review and override, RD availability and preference management, EHR appointment creation, HubSpot lifecycle integration, cohort/funnel analytics, and the data model that makes all of it legible.

Design the matching surface with the right mix of deterministic rules and LLM-driven judgment. Patient inputs, insurance/state constraints, availability, appointment urgency, RD specialties, and RD preferences all matter. A reasoned recommendation should come out, but so should a system humans can inspect, override, measure, and trust. Ship guardrails as a first-class concern: PHI boundaries, token budgets, scoped AI surfaces, abuse-resistance, auditability, and clear fallbacks. AI on the front door of a healthcare practice requires more discipline than AI behind a supervisor's login.

The marketing site

Own the new marketing site end-to-end — build, deploy, CMS selection, monorepo integration. You make those calls, with Justin partnering on architecture.

Keep it fast, accessible, and honest about what we do. Patients and referring providers will judge our clinical depth by what they see here.

Marketing engineering

Ship the lifecycle automation behind the funnel: engineered drip campaigns, segmentation tied to product events, conversion tracking, the work that has actual engineering components rather than no-code-only workflows.

Build the AEO / SEO infrastructure on the new site. There's a real opportunity to be the LLM answer when patients and providers ask about nutrition care for ED / GI / etc., and that's a technical surface as much as a content surface.

Contributor to AlwaysAI

AlwaysAI is our best-in-class AI clinical supervision and support tool. You'll contribute as work allows

Your first 90 days

Ship the new marketing site to production, including CMS selection and deployment management.

Build v1 of the scheduling experience on the new site: internal front-desk workflow first, external patient-facing flow second. The real bar is not a pretty calendar; it is a working product system with clear data ownership, safe integrations, review/override paths, analytics, and production-grade handling of availability, appointment holds, and follow-up.

Establish the analytics and experiment infrastructure so we can actually measure what we ship.

Make one meaningful contribution to AlwaysAI — pair with the staff+ engineer on a real product-surface improvement they'd otherwise be doing solo.

Who we're looking for

Senior full-stack product engineer, systems-minded first. You can ship a polished React frontend yourself, but the differentiator is that you can also own the APIs, data model, integrations, async workflows, analytics, and production tradeoffs behind it.

Product instinct. You can talk to a designer, think like a product person, and translate "the front desk needs to match referrals faster and better" into a product system.

Growth engineering chops. You've shipped lifecycle automation, conversion tracking, or marketing engineering work. You think in terms of metrics and how to capture them.

AI-forward, with discipline. You've shipped or seriously designed product surfaces that wrap LLM judgment, and you understand that the hard part is the system around the model: data boundaries, evals, guardrails, token budgets, abuse resistance, observability, human review, and where AI shouldn't be.

Healthcare context welcome but not required. Patient data sensitivity is real. Engineers think about this natively or they grow into thinking about it natively. Either is fine; oblivious to it isn't.

Stack: TypeScript with a React-family frontend, Postgres on AWS, Anthropic models on Bedrock, plus the integrations our clinical and commercial work runs on. Polyglot-pragmatic — bring your tools and we'll figure it out. (Like Go or Python? Same. We'll add them when it makes sense.)

Position details

Job type: Full-time

Location: Remote (U.S.) with periodic in-person time in Burlington, VT

Working hours: We expect overlap with US East Coast hours for collaboration with the team. As a senior engineer, you'll be expected to show up when necessary, and trusted to own your own schedule.

Compensation

Competitive base salary, determined per-candidate based on experience and capability

Performance bonus: Up to 10% of base salary, annually

Four weeks PTO

Health insurance through a Cigna PPO

Short-term disability, long-term disability, and life insurance available at no cost for eligible full-time employees after 90 days under current plan terms

401(k) with employer match after 1 year

Equipment as necessary to support your work

Budget for any HIPAA-compliant AI tools you need to support your work

How we hire

We read every application. We respond within a week.

The process is short by design:

30-minute screen with Justin (CTO and hiring manager).

60-minute systems interview with Justin — you get a real business prompt, propose a solution, and sketch out the system to make it real.

60-minute cross-functional conversation with Brandon Goldberg (CFO) — we evaluate your ability to understand business needs and turn ambiguity into useful systems.

45-minute AI build jam with Justin — choose a small useful thing to build with AI, share your screen, talk through your choices, and demo whatever you can before the timer ends.

Final chat with Valerie Goldberg (CEO) — mission alignment, clinical context, judgment, and the shape of the role.

Work Location: Remote