Staff Software Engineer at Arlo | NY, US | Rezi

Staff Software Engineer at Arlo

Staff Software Engineer

Arlo · NY, US

1 months ago

Staff Software Engineer

Arlo · NY, US

2 months ago
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About the Role

We are seeking Staff Software Engineers to help build the systems that power an AI-native insurance company. You will work closely with operational teams and AI Forward Deployed Engineers to transform real business workflows into AI-native products and internal platforms, redesigning how work is done rather than just adding AI to existing software. Engineers are expected to own real operational problems end-to-end, including product architecture, backend systems, frontend experiences, AI workflows, and production deployment.

Responsibilities

  • 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 workflows.
  • Develop internal operational platforms for teams managing millions in premiums and healthcare spend.
  • Build member-facing products that combine conversational AI, navigation, and real-time healthcare workflows.
  • Design retrieval, memory, and evaluation systems that improve reliability and operational performance over time.
  • Work directly with operational teams to identify bottlenecks and rapidly ship systems that eliminate manual work.
  • Own projects end-to-end: product architecture, backend systems, frontend experiences, AI integration, and production deployment.

Requirements

  • Highly autonomous, product-minded engineers who can take ownership of an operational domain and turn messy real-world workflows into scalable software systems.
  • Deeply understand how the business works and where AI can create leverage.
  • 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.
  • Ownership and operational impact: building systems that materially improve how a function inside the company operates.

Skills

  • React
  • React Native
  • TypeScript
  • Python
  • Postgres
  • AI infrastructure
  • Conversational AI

Location

  • Remote

Work Type

  • Full-time

Experience Level

  • Staff Engineer

Salary/Compensations

  • $250,000 – $275,000 + equity

Benefits

  • High ownership
  • Real responsibility from day one
  • High-trust team
  • Opportunity to shape core parts of the company
  • Join an important mission
  • Work directly influences how people access care and improves lives at scale
  • Growth & expansion opportunities
  • New challenges
  • Bigger opportunities
  • Rapid career velocity
  • Apply AI to a problem that matters
  • High pace
  • High collaboration
  • Velocity
  • First-principles thinking
  • Team that works closely, openly, and with ambition

About the Company

  • Arlo is rebuilding health insurance for small businesses from first principles, ensuring as much of every premium dollar as possible goes to care instead of the system around it.
  • We use AI across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves.
  • We are 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.

Equal Opportunity

  • 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.