Senior Software Engineer, Growth & Platform

Were Cubby

We make smart safety beds for kids with epilepsy autism cerebral palsy and other complex conditions. Nearly 20000 beds shipped. 10 million nights of safer sleep. For many of those families it was the first time the parents could sleep too.

Were 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 dont have one yet. Our job is to change that.

This is where you come in

Youre our first dedicated software engineer. Youre 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.

Weve maxed out what our current systems can do for us. We run on Salesforce Shopify Typeform Talkdesk Ortto Kustomer and a stack of glue between them. The next phase of growth depends on building applications and workflows (patient portals voice agents customer-facing apps AI-assisted operations) that improve customer conversion and help us serve more families.

AI tools are core to how this role works. Claude Code or equivalent is your daily accelerator. We want someone who already builds this way and is excited to push what AI can do for an engineer and an organization.

Youll ship those production apps and workflows. Youll stand up engineering foundations (repos CI/CD environments observability compliance posture). Youll implement the data warehouse and pipelines under the guidance of our fractional Head of Data Engineering.

This role reports to our Head of Product & Technology. Youll partner closely to scope user needs and define requirements together. From there building is yours. Youll also work closely with our CEO VP of Growth and business systems analyst collaborate cross-functionally with operations business development customer experience and sales.

Heres what youll be doing

• 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.

What success looks like in year one

Lead-to-bed-sold conversion is measurably up because of the apps and workflows youve shipped. Cubby has a working engineering function: clean foundations repeatable shipping and data we trust. The platform is ready for the next phase of growth and the next product after that.

Heres what were looking for

Required:

• 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 dont 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 -person collaboration with the team matters here.

Strongly 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.

To Apply

All applications must be submitted through the Job Openings section of the Cubby Beds Careers site.

Dont feel like you have all of the qualifications

The description above reflects our current vision. You may be a strong candidate even if you dont check every box and you may have skills we havent thought to list. If thats you apply.

Benefits & Perks

• Total Cash Compensation: $184000 - $223000 (base 12.5% performance bonus)

• Stock options / equity ownership

• Health dental vision insurance

• Unlimited PTO and sick/wellness hours

• 12 paid holidays paid Volunteer Day and a Powder Day

• 401(k) with company match

• Hybrid: Mon-Wed in Denver HQ; optional remote Thu-Fri

• Mac standing desk premium office setup; work-from-home stipend

• Paid parking

• Annual staff retreat

• Stocked kitchen and bimonthly team lunches at Denver HQ

• Growth opportunities at a startup with a life-changing mission

If you want to build the engineering function from zero inside a profitable mission-driven company and own the systems that drive the next phase of growth we want to meet you. Apply now.

Cubby Beds is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability age or veteran status. Cubby Beds is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

For data removal requests from our Applicant Tracking System please email

This position will remain open until filled.

Required Experience:

Senior IC