Description
Evernorth exists to elevate health for all. As champions for affordable, predictable and simple health care, we solve the problems others don’t, won’t or can’t.
We are a small AI-native R&D team inside one of the largest health organizations in the country. We build products that affect real healthcare outcomes , how risk gets detected, how care decisions get made, and how clinical teams do their work. We're looking for hybrid builders who own what they build: people who decide what to build, not just how.
The Problems We're Solving
- Turning overwhelming data into clarity: We build systems that find what matters, understand why it matters, and tell the story to the people who need to act , in near-real-time, not weeks later.
- Clinical AI that reaches real patients: We build tools that help care teams identify who needs attention now , turning clinical data into prioritized, actionable signals for the people making care decisions.
- Rapid prototypes that drive real decisions: We run short, high-intensity build cycles: from "what if we could..." to a working prototype that can actually move a decision.
- Making the team itself faster: We build AI-augmented workflows that compound over time , tools that reduce overhead, accelerate research, and let the team stay in flow on the hard problems.
- The infrastructure that makes all of it possible: We build the connective tissue , agent infrastructure that makes real organizational data accessible to the tools we're building.
How We Work
- Spec-driven, not sprint-driven: Write a spec, build it, ship it, demo it.
- Weekly demos: Every Friday, working software over status updates.
- High autonomy: You own workstreams, not tickets.
- AI-native every day: We use the tools everyone else is still debating.
What We Look For
- Product sense: Think about users first. Ask "why" before "how."
- Engineering fluency: Full-stack capable. Can move from data to API to UI as the problem demands.
- Design eye: Creates usable interfaces without a designer for every decision.
- AI nativity: Use AI tools as core infrastructure for daily work , coding, research, and validation.
- Shipping velocity: Track record of finishing things.
- Ownership mindset: Owns outcomes, not tasks.
Qualities That Matter
- Craftsmanship: Sweats details that matter.
- Pragmatism: Ships 80% solutions.
- Curiosity: Learning new tools and tech eagerly.
- Low ego: Celebrates team wins.
- Nice: Genuinely kind.
Desired Skills
- Experience: 10+ years of experience across software engineering, product management, and AI/digital product development.
- Prior experience as a full‑stack engineer before transitioning into product management is preferred.
- Demonstrated success building and scaling AI‑enabled or data‑driven products in real‑world production environments.
- Hands‑on experience with AI experimentation, including hypothesis‑driven development, rapid prototyping, pilots/POCs, and outcome measurement.
- Practical experience designing or working with GenAI and Agentic AI systems.