Product Engineer
JotPsych
Remote
$200,000 Salary, Full-Time
Skill Insights
Compare your current skills to what this opportunity needsβwe'll show you what you already have and what could strengthen your application.
Job Description
JotPsych:
Background and Context π Elevator pitch: JotPsych software listens to behavioral health providers while they talk to their patients (with consent, of course). A few seconds after the patient leaves the room, the provider already has a robust draft of the medical note waiting for them. Super customizable, easy to integrate with any current workflow. Medical note completely done and submitted for insurance reimbursement before the next patient enters the room. No more typing during the session, no more catching up on notes at home in the evening. Eye contact and peace of mind. π§ π JotPsych is a post-revenue, seed-stage software startup backed by Base10. The product currently reduces administrative time for behavioral health clinicians by 90% and is expanding to encompass other clinical and administrative workflows. You can learn more about JotPsych by visiting the website, reading up on our fundraise announcement, and/or by listening to the podcasts below: βοΈ JotPsych was founded by Nate Peereboom and Jackson Bierfeldt. Nate's mom was a nurse practitioner, so he grew up in the shadow of overwhelming medical documentation. Jackson is a language and audio nerd, and when GPT-3 hit the market, he knew something could be done here. The company is currently 10-15 FTE. π JotPsych has scribed for 1.5m+ patient encounters. Role You'll take rough product ideas and ship them end-to-end β translating messy clinic workflows into smooth, intuitive software. You'll work across our stack (React + Python + Postgres + AWS) to bring new features from prototype to production, balancing craft with velocity.This is a promotion-track role:
we're hiring someone who can grow into a pod lead within 12 months β mentoring others, defining dev patterns, and shaping how product gets built at JotPsych. You will work on Feature delivery: Own the full lifecycle from design doc β deploy.Product iteration:
Partner with designers, clinicians, and founders to ship user-facing improvements weekly.System glue:
Integrate LLM and backend microservices into cohesive experiences (streaming outputs, async jobs, realtime updates).Internal tooling:
Build dashboards, QA views, and admin utilities that help clinics and our team operate faster.Technical mentorship:
As we grow, guide junior engineers on clean abstractions, testing, and debugging. Ideal Candidate 5-8 yrs professional engineering experience, including 3 + yrs building production web apps (React, TypeScript, Python/FastAPI or similar) at a startup pace. A bias toward action β you prototype fast, cut scope intelligently, and measure what matters.Full-stack fluency:
you're happy across the stack and can reason about APIs, UX, auth, data models, cloud services, and databases (Postgres, Mongo). Experience shipping modern AI systems β ideally involving LLMs, audio-pipelines (including ASR), or other real-time data flows. A pragmatic approach to testing, CI/CD, and observability β you build for reliability but know when to bend for speed. Comfort working in ambiguity and making product trade-offs without perfect specs. Curiosity about healthcare, language models, and how software can make clinicians' lives easier.Bonus:
familiarity with FHIR, audit logging, or insurance clearinghouses. Tech We Use (and you'll shape) Python- Flask
- FastAPI
- Celery Postgres
- MongoDB
- Redis
- S3 (WORM) AWS ECS
- Step Functions
- SQS
- Kinesis LangChain / LangGraph
- OpenAI
- Anthropic Pulumi
- OpenTelemetry
- Supabase (Experience in Go/Rust/GCP?
Important:
Next to your first name, you must include a ninja emoji (π₯·) β because you'll be jumping and slicing through everything. Case Interview (5-10% of applicants) Selected candidates will receive a short technical case. Plan for about 3 hours of work. You'll get all necessary materials in advance, but be ready β it's designed to challenge how you think, not just how well you write code. At the end, you'll submit a Loom video or screen recording showing your work in action and walking us through your process. Behavioral Interview (45 min) After the case, you'll meet with our founders or tech leads. We'll dig into your past engineering experiences, your problem-solving patterns, and what motivates you. Technical Interview (2.5 hours) This comprehensive session combines architecture review, debugging, and product critique to assess your full-stack engineering judgment. Part 1: Architecture Review (60 min) β You'll review a real or anonymized JotPsych service diagram or code snippet, identify strengths and risks, and propose one refactor with trade-offs. Part 2: Debugging Challenge (60 min) β You'll join one of our engineers in a shared environment to debug a small broken script or feature, forming hypotheses and isolating variables. Part 3: Product Critique (30 min) β We'll show you a prototype or in-progress feature and you'll share what feels unclear, overbuilt, or missing β and outline how you'd improve it in a week.We're testing technical judgment, problem-solving process, product intuition, and how you balance UX, tech, and time β not speed or perfection. Co-Working Day A small group of finalists are invited for a full-day on-site at our DC HQ (we'll fly you out if you're not local). You'll collaborate on a live problem, pair-build with our engineers, and join structured evening conversations about product direction, strategy, and vision. We're testing for speed, collaboration, and creative insight β not polish. References (6Γ) We take references seriously. Expect us to speak with ~six people who've worked closely with you.
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