Senior Software Engineer, Growth & Platform

Job Summary

We're Cubby 👋 We make smart safety beds for kids with epilepsy, autism, cerebral palsy, and other complex conditions. Nearly 20,000 beds shipped. 10 million nights of safer sleep. For many of those families, it was the first time the parents could sleep too. We're a profitable, bootstrapped medical technology company with ~50 people at our Denver HQ. The Cubby Bed is covered by insurance in all 50 states, with clinical research backing the product. Revenue grew 18x in the last five years. Most kids who need a Cubby don't have one yet. Our job is to change that.

About the Role

You're our first dedicated software engineer. You're building the engineering foundation from the ground up: production applications and workflows that move conversion, the systems underneath them, and the data infrastructure that ties it together. Wide surface area. You shape the architecture, choose the stack, and own what ships. You'll ship those production apps and workflows. You'll stand up engineering foundations (repos, CI/CD, environments, observability, compliance posture).

Responsibilities

• Ship customer-facing apps that move insurance conversion. Patient portal v1, voice agent v1, DME portal v1 (search-driven, role-aware), and revenue cycle integrations.
• The headline metric is lead-to-bed-sold conversion rate. The work is judged on whether that number moves.
• Replace Typeform with a custom intake. Route data directly into the warehouse.
• Tied to faster lead-to-quote turnaround and fewer drop-offs across the DME funnel.
• Stand up the data warehouse and engineering foundations. A HIPAA-compliant warehouse, ELT pipelines for Salesforce and Shopify, and modeled core entities.
• Repos, CI/CD, environment separation, Drata, and observability. Tooling choices are yours, made with guidance from our fractional Head of Data Engineering.
• Ship the first AI-assisted revenue workflow. AI-assisted quote review or DME activation alerts.
• Set the AI standards. Monitoring, documentation, fallback logic, and quality controls. All production AI workflows meet these standards.

Requirements

• 5 to 10 years shipping production systems end-to-end.
• Built and shipped production apps that integrate multiple SaaS platforms or data flows in a regulated environment (healthtech, fintech, PCI/payments, SOC 2, identity/auth, banking, insurance, or crypto).
• Comfortable implementing data pipelines and warehouse work (SQL, Python, dbt, ELT) under senior data guidance.
• You don't need to have architected a warehouse from scratch.
• Strong across both engineering foundations (GitHub, CI/CD, observability, deployment, environments) and the application layer (TypeScript/React, API design, AI tooling).
• Works fluently with AI coding tools (Claude Code or equivalent). Multiplies output with them rather than using them as a chatbot.
• Based in Denver or willing to relocate. In-person collaboration with the team matters here.

Preferred

• Founding engineer experience at a YC fintech, insurtech, or healthtech.
• Senior/staff engineer at a Series A-C in regulated industry.
• HIPAA, SOC 2, payments, checkout, or PCI engineering background.
• CS degree preferred but not required. Practical shipping experience beats certifications.

How to Apply

All applications must be submitted through the Job Openings section of the Cubby Beds Careers site. Don't feel like you have all of the qualifications? The description above reflects our current vision. You may be a strong candidate even if you don't check every box, and you may have skills we haven't thought to list. If that's you, apply.