Staff Software Engineer

Most of what makes American healthcare expensive isn’t medical care. It’s the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care. The result is higher premiums, denied claims, surprise bills, and a system patients increasingly experience as adversarial.

Arlo is rebuilding health insurance for small businesses from first principles: making sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it. We do that by identifying fraud earlier, steering members toward higher-quality and lower-cost care, automating operational overhead, and eliminating vendors whose business exists mostly to take a cut.

AI is the foundation that makes this work. We use it across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves.

We’re already operating at meaningful scale: profitable, hundreds of millions in premiums, tens of thousands of members covered, and growing quickly through brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and longtime healthcare operators.

We’re looking for Staff Software Engineers to help build the systems that power an AI-native insurance company.

Insurance operations are sprawling: underwriting, claims, premium finance, broker operations, member support, care navigation, and more. Most companies run these functions through fragmented vendors, legacy software, and manual workflows. At Arlo, we build our own infrastructure.

You’ll work closely with operational teams and AI Forward Deployed Engineers to turn real business workflows into AI-native products and internal platforms. The goal isn’t to bolt AI onto existing software; it’s to redesign how the work happens altogether.

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

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  Design and ship full-stack products across the insurance lifecycle, working across React, React Native, TypeScript, Python, Postgres, and modern AI infrastructure.

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  Build AI-native underwriting systems that synthesize risk, structure messy data, and assist decision-making.

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  Create claims tooling that automates review, coordination, and document processing workflows.

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  Develop internal operational platforms for teams managing millions in premiums and healthcare spend.

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  Build member-facing products that combine conversational AI, navigation, and real-time healthcare workflows.

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  Design retrieval, memory, and evaluation systems that improve reliability and operational performance over time

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  Work directly with operational teams to identify bottlenecks and rapidly ship systems that eliminate manual work.

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  Own projects end-to-end: product architecture, backend systems, frontend experiences, AI integration, and production deployment.

The work is highly applied. Success is measured by whether the systems you build become core infrastructure for how the company operates, reducing operational overhead, improving member experience, and allowing teams to scale far beyond traditional insurance companies.

We’re looking for highly autonomous, product-minded engineers who can take ownership of an operational domain and turn messy real-world workflows into scalable software systems.

Staff Engineers at Arlo work directly with teams across underwriting, claims, premium finance, member experience, and broker operations to deeply understand how the business works and where AI can create leverage. The role is highly hands-on: designing systems, shipping products, integrating AI workflows, and rapidly iterating with the people using what you build.

• Strong experience building and shipping full-stack products across modern infrastructure (Python, Postgres, TypeScript, React/React Native)

• Excellent product and engineering judgment in ambiguous environments

• The ability to independently own large systems from idea to production

• High standards for execution, velocity, and code quality

The expectation for Staff Engineers is ownership and operational impact: building systems that materially improve how a function inside the company operates.

• Experience in regulated industries (healthcare, fintech, etc.)

• Strong sense of design and attention to UI detail