Fabric Health

HQ
New York
Total Offices: 4
304 Total Employees

Fabric Health Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers dental insurance

Offers health insurance

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers employee stock purchase plan

Career Growth + Development

Provides customized development tracks

Job training & conferences

Provides personal development training

Hosts Lunch and Learns

Company Culture

Utilizes an open door policy that encourages accessibility

Open office floor plan to encourage communication and collaboration

Offers a remote work program

Work-Life Balance + Wellbeing

Offers team workouts

Utilizes an Unlimited PTO policy

Recently posted jobs

2 Days AgoSaved
In-Office or Remote
New York City, NY, USA
Artificial Intelligence • Healthtech • Software • Telehealth
Lead and mentor the Virtual Care backend engineering team, drive roadmap delivery on a two-week Scrum cadence, stay hands-on in code and architecture, own platform operational health (reliability, on-call, incidents), and ensure security and compliance for PHI-handling clinical software while reporting progress and risks to cross-functional and executive stakeholders.
4 Days AgoSaved
Hybrid
New York City, NY, USA
Artificial Intelligence • Healthtech • Software • Telehealth
Serve as the CEO's operational right hand: own executive operating cadence, drive governance and accountability, run end-to-end special projects (M&A, org design), synthesize briefings, build planning/reporting infrastructure (OKRs, dashboards), and use AI tools to accelerate execution and follow-through across functions.
6 Days AgoSaved
Hybrid
New York City, NY, USA
Artificial Intelligence • Healthtech • Software • Telehealth
Own AI product strategy and roadmap across clinician- and member-facing surfaces. Partner with engineering, applied ML, design, and clinical teams to ship, scale, and measure LLM/ML-powered features; set safety and quality guardrails, run evals, make model build-vs-buy decisions, and translate ML capability into clinical workflow outcomes.