AI Forward Deployed Engineer

Most of what makes American healthcare expensive isnt medical care. Its 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.

Were 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.

About the Role

Were looking for AI Forward Deployed Engineers to embed directly inside the core functions of our business and rebuild how work gets done.

At most insurance companies teams such as underwriting claims premium finance member support care navigation and sales operations each rely on extensive ecosystems of external vendors and legacy SaaS tools. At Arlo we build those systems ourselves.

Your job is to work shoulder-to-shoulder with these teams deeply understand how their operations function and use AI to automate augment and redesign their workflows from the ground practice that means building AI agents internal tooling copilots decision systems and operational infrastructure that allow teams to scale far beyond what traditional headcount would support.

This is not a pure research role nor is it traditional software engineering. Youll spend time inside the business: shadowing operators identifying bottlenecks mapping workflows and rapidly deploying systems that eliminate manual work and compress operational overhead.

The goal is simple: every team at Arlo should become AI-native.

What Youll Do

• Embed within operational teams across the company underwriting claims premium finance patient experience broker operations sales engineering and more and work directly with them to understand how decisions are made where work slows down and what can be automated.

• Build AI underwriting agents that synthesize risk summarize cases and assist decision-making.

• Automate claims workflows that currently require manual review and coordination.

• Create internal copilots for support and care navigation teams.

• Design systems that extract structure and actions from messy healthcare documentation.

• Deploy retrieval memory and evaluation systems that improve operational reliability over time.

• Replace repetitive back-office workflows with AI-native tooling and agents.

Youll move quickly ship directly into production and iterate closely with the teams using what you build. Prototypes or demos do not measure success in this role; its measured by operational leverage: faster workflows fewer manual processes lower costs and teams that can scale far more efficiently because of the systems you deployed.

What Were Looking For

• Youre obsessed with customers; their success is your scoreboard.

• You dont quit on outcomes. Mission accomplished means real visible results not just release notes.

• You use feedback as fuel turning customer insights into new ideas and features overnight.

• Youve shipped full-stack AI and LLM apps and you know your way around Python Postgres and modern AI workflows.

• You handle tradeoffs: fast but safe powerful but reliable. You build guardrails into everything you ship.

• You use AI-powered developer tools to move at startup speed.

Target Compensation Range

$180000 $250000 equity

Why Join Arlo:

• High ownership: Youll get real responsibility from day oneour high-trust team empowers you to run with big problems and shape core parts of the company.

• Join an important mission: Your work directly influences how people access care and improves lives at scale.

• Growth & expansion: Were moving fast and as we grow your scope will grow with usnew challenges bigger opportunities and rapid career velocity.

• Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs youll use AI to fundamentally reimagine how people get healthcare.

• High pace high collaboration: We operate with velocity first-principles thinking and a team that works closely openly and with ambition.

Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level location and qualifications which are assessed during the interview process.

Arlo is an equal opportunity employer. We do not discriminate based on age race color creed or religion national origin sexual orientation gender identity or expression military status sex disability predisposing genetic characteristics marital status familial status status as a victim of domestic violence or arrest or conviction record as defined under New York State law.

Your safety matters to us. If youre selected to move forward in our hiring process youll hear directly from a member of our Recruiting team via an @ email address. We will never ask for personal or financial information outside of our formal onboarding process. When in doubt please reach out to us to verify at: .

Required Experience:

IC