Product Engineer

Product Engineer About Gaia

Mission: A world where anyone who wants a family can try.

We're transforming fertility care from the ground up to make it more accessible. At Gaia, we believe that when it comes to starting a family, financial barriers shouldn't determine who gets to try. We're building the technology infrastructure that makes fertility treatments available to everyone, not just the fortunate few who can afford a $50k bill upfront.

Fertility affects 1 in 6 people, yet only 2% of babies are born via IVF. We're changing that by making fertility care 10x better, with 2x better outcomes, at half the cost.

Our founder experienced this firsthand - going through IVF and having a child because he could afford a $70k bill. Most people can't. We're here to change that reality.

You will not be just building software - you will be architecting the infrastructure that makes family building accessible to everyone. This is where fintech meets healthcare in the most meaningful way possible.

The Gaia Orchestrator: Our internal framework that automates care navigation, financing, clinic operations, and risk tracking across a complex ecosystem of patients, clinics, lenders, and insurers. You'll own real slices of this - state machines, workflows, and integrations with external systems that weren't designed to talk to each other.

AI-Native Operations Layer: We use AI not as a feature but as infrastructure. Our ops, compliance, and member workflows run on LLM-powered agents and scheduled routines. You'll build and extend these - not just consume them.

Real-time Underwriting Engine: Predictive modeling in a risk layer no one else has touched, adapting to patient and clinical data to make fertility care financially accessible. You'll work on the models and the pipelines that feed them.

Member-Facing Experiences: Crafting the moments that matter most - from pre-cycle intake to outcome reporting. People come to Gaia at one of the most vulnerable points in their lives. The experiences you build will shape how that feels.

We're building in a space that:

Highly regulated
:
Healthcare and finance bring an interesting combination of complex regulatory and safety concerns. HIPAA, SOC 2 Type II, and PHI are first-class constraints, not afterthoughts. If you've built in regulated environments, you'll hit the ground running.

Emotionally charged
:
The people using what you build are going through a complex and emotionally charged journey of building a family. Every interaction, every piece of data, every experience you ship exists in that context. That weight is real, and it makes the craft matter more.

Financially complex
:
We sit at the intersection of lending, insurance, and outcome-based pricing in a domain where the numbers are high and the stakes are personal. The models are non-trivial and the edge cases are endless. You'll need to think beyond the happy path.

Technically fragmented
: the healthcare industry is fragmented with complex technologies and protocols. These systems were not meant to talk to each other. You'll build integrations that are robust enough to handle the messiness of the real world, and resilient enough not to break when it does.

Your solutions will directly impact people's ability to start families. Everything you build will touch lives directly.

Unreasonable - You believe impossible problems deserve creative solutions

Brave - You're comfortable building in ambiguity and changing the status quo

Accountable - You take ownership of problems that span across complex domains and technology

Adaptable - You can pivot quickly in a fast-moving environment

Kind - You care deeply about the people depending on what you build

Experience: 5+ years as a full-stack engineer in startup environments

Technical

Skills:

• Strong Python and Type Script. We use the Frappe framework to build our backend. Experience with Frappe is a plus but not required, it's learnable

• Experience with MariaDB or any other RDBMS

• Strong technical background in building high-quality code and infrastructure

• Preference for simple solutions over complex ones

AI Nativeness (non-negotiable):

We are an AI-native team and we're looking for engineers who are actively optimizing how they work with AI. Not curious about it. Not learning it on the side. Already doing it. You use Claude Code, Cursor, Codex, or equivalent as a core part of how you build. You've integrated LLM APIs into something real. You've automated something in your own workflow that used to take you time.

If AI has materially changed how you work in the last 12 months, we want to talk.

If you are still scratching the surface, this role is not for you.

Mindset:

• Put the user first

• Excited to work in small, cross-functional teams

• Comfortable taking on big, loosely defined projects and breaking them down

• Able to balance tactical execution with strategic thinking

• Holistic problem-solving approach beyond just technical…