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Thesis

Product Engineer, Full-Stack

New York, United States

Location
New York, United States
Work
Not stated
Employment
Not stated
Level
Mid level
Function
Engineering
Pay
$170K – $220K a year (read from the ad)
Posted
9 months ago

Pay and the market here

The top of this role’s range, $220K a year, is 10% above the median of $200K for mid level engineering jobs in New York (middle half $170K – $250K, 420 jobs that state pay).

3,709 engineering jobs open in New York: 12% remote, 695 posted in the last 30 days.

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About the role

About us

Thesis is building the AI-powered care team platform for infinitely scalable clinical capacity. We radically increase access and improve quality of care by combining AI agents with clinical experts to take on high-impact clinical operations and care management activities for healthcare organizations.

We’re based in NYC, are growing rapidly, and are backed by $60 million in funding from Oak HC/FT, CRV, Black Opal Ventures, and experienced C-level healthtech angel investors.

About the role

We are looking for a product-minded Full-Stack Software Engineer to help design, build, and scale Thesis’s core platform. This is a broad-scope, hands-on engineering role for a creative builder who cares deeply about product quality, user experience, and technical rigor. As an early member of the engineering team, you will play a foundational role in shaping Thesis’s product, systems, and engineering culture.

Responsibilities

  • Own core systems: Architect, implement, and maintain business-critical components that define and power Thesis’s product, including frontend experiences, backend services, and data flows.
  • Build end-to-end features: Lead the full lifecycle of feature development, from greenfield technical design through production deployment and iteration.
  • Partner cross-functionally: Collaborate closely with founders, product, and design to translate user, clinical, and business needs into scalable technical solutions.
  • Continuously evolve the platform: Improve system architecture, scalability, developer experience, and operational excellence as the company grows.
  • Build hands-on with AI/ML: Dive into our AI/ML codebase (agents, LLM/RAG systems, evaluation, and supporting pipelines) to design, implement, and iterate on product features that measurably improve user experience and outcomes.

We expect you to have

  • Technical depth: 2+ years of professional experience as a full stack software engineer delivering high-quality, production-grade software.
  • Full-stack expertise: Strong experience across the stack, with deep strength in either frontend or backend technical design and implementation.
  • Modern engineering toolkit: Hands-on experience with technologies such as TypeScript, Node.js, React, Next.js, Postgres, RPC-based architectures, and cloud platforms like AWS.
  • Product and UX mindset: A strong belief in great design and user-centered problem solving, with experience building intuitive, polished user experiences.
  • AI fluency: Familiarity with modern AI technologies and an interest in applying LLMs and automation to development processes and real-world product challenges.
  • Healthcare awareness: Experience building systems that work with sensitive data and regulated environments, or a strong interest in learning healthcare workflows and constraints.
  • Clear communication: Ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
  • NYC-based: You are based in New York and excited to be in-office ~3 days per week.

Target compensation for this role is $170-$220k, plus equity and a generous benefits package.

Thesis Care is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Source

Posted by Thesis on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 12:09 UTC; the original is the reference.

View the original ad ↗

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