Staff Software Engineer

About Arlo

Arlo is rebuilding health insurance for small businesses from first principles. Most American healthcare expenses stem not from medical care itself, but from the surrounding infrastructure: middlemen taking cuts, undetected fraud, and adversarial billing systems. Arlo eliminates these inefficiencies by identifying fraud earlier, steering members toward higher-quality and lower-cost care, automating operational overhead, and removing vendors whose primary function is rent extraction.

AI is foundational to this mission. We deploy AI across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as technology improves. Arlo operates at meaningful scale: profitable, hundreds of millions in premiums under management, tens of thousands of members covered, and growing rapidly through brokers and employers. Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and experienced healthcare operators.

About the Role

We're seeking Staff Software Engineers to build the systems powering an AI-native insurance company. Insurance operations span underwriting, claims, premium finance, broker operations, member support, and care navigation. Most companies fragment these functions across vendors, legacy software, and manual workflows. At Arlo, we build our own infrastructure end-to-end.

You'll partner closely with operational teams and AI Forward Deployed Engineers to transform real business workflows into AI-native products and internal platforms. The goal is not to layer AI onto existing software, but to redesign how the work happens fundamentally.

We seek engineers who want to own operational problems end-to-end: product architecture, backend systems, frontend experiences, AI workflows, and production deployment.

What You Will Do

• Design and ship full-stack products across the insurance lifecycle, working across React, React Native, TypeScript, Python, Postgres, and modern AI infrastructure
• Build AI-native underwriting systems that synthesize risk, structure messy data, and assist decision-making
• Create claims tooling that automates review, coordination, and document processing
• Own systems that support broker operations, member support, and care navigation workflows
• Collaborate with operational teams to understand pain points and translate them into scalable technical solutions
• Deploy and maintain production systems handling real insurance operations at scale