Backend Engineer

Marble Health•New York, NY

1d•$150,000 - $200,000•Hybrid

About The Position

This is an early backend-leaning generalist role where you'll own truly life-changing products end-to-end. You'll work across an AI-first platform, whether that's building the school-facing product that connects students to care, the therapist product that makes clinicians more effective, Marty (our AI-powered patient companion), the revenue cycle management systems, or the internal platform & tooling that all of this is built on. You'll get to know and deeply understand our end users, and you'll partner directly with product, operations, growth, and clinical teams to ship experiences that expand access to care and elevate its quality. You'll bring strong opinions on what to build, raise the engineering bar, and help define what a thoughtful, AI-native engineering culture looks like at an early-stage company. This role is hybrid, with three days per week in our SoHo, New York City office.

Requirements

2+ years of software engineering experience, with a track record of solving hard problems with code
Prior startup experience or strong desire to work at an early stage company; comfortable in a high-autonomy, high-ownership environment
AI obsessed and constantly looking to leverage the newest AI tool or workflow
Based in New York and able to work from our SoHo office 3+ days per week
Mission-driven and energized by solving a

Nice To Haves

Prior experience in health tech
Experience with Next.js
Experience with platform infrastructure — event-driven systems, internal tooling, data pipelines, or cloud infrastructure (AWS, CI/CD, Terraform)
Experience with design systems, accessibility, or frontend performance optimization

Responsibilities

Build and iterate on Marble's core product surfaces: the school-facing product, therapist platform, Marty (our AI patient companion), payer systems, and internal tooling
Own features end-to-end — from discovery and execution through rollout, measurement, and iteration
Raise the bar on AI-native ways of working: better tooling, better workflows, and thoughtfully integrated AI features for users and internal teams
Evolve the platform that underpins our product: the AI foundations, event-driven workflows, observability, pragmatic infrastructure, etc.
Create internal tools and automation that reduce operational load and help the team move faster with fewer mistakes
Write clean, maintainable code, improve patterns, and push for simplicity and speed
Collaborate with ops, growth, and clinical partners to understand real-world constraints and translate them into great product
Mentor others and help build a strong, thoughtful engineering culture