Product Engineer

Harper; San Francisco (CA); On-site; USD 140,000 - 280,000; Full time

Benefits offered by this job

Uber commuter benefits

Breakfast, lunch, dinner provided

Snacks, drinks and coffee daily

Free gym membership

Health, dental, and vision insurance

Job summary

Harper in San Francisco is seeking a full‑stack engineer with applied AI fluency to ship end‑to‑end AI-powered features. You’ll work across frontend, backend, agents, and evals, owning the outcome from prototype to production.

You’ll embed with operators across sales, service, underwriting, and build systems that improve with each interaction. The role emphasizes delivering real revenue impact, not just code, with an emphasis on shipping fast and measuring results.

Qualifications

• Production systems shipping experience.
• Proficiency in Python, TypeScript, or similar.
• Experience building AI-powered features—LLM apps, agent pipelines, or workflow automation.
• Ability to work across frontend, backend, and AI layers.
• Based in San Francisco or willing to relocate.

Responsibilities

• Ship AI-powered features end‑to‑end across the stack.
• Embed with operators—sales, service, underwriting.
• Build systems that learn and improve with every interaction.
• Stay on the frontier by testing new models and capabilities.
• Move fast using AI tooling to compress development cycles.
• Own the metric and demonstrate impact to the business.
• Prove impact with clear results and metrics.

Skills

Production systems

Python

TypeScript

AI features

Full-stack

Cross-stack

Tools

Cursor AI tooling

Claude Code

Windsurf

Job description

The Problem

36 million businesses in America need insurance—it's not optional. 77% are underinsured. 40% have no coverage at all. The distribution system failed them: too slow, too opaque, too confusing.

Over 90% of commercial insurance is still human-led. We're building the inverse: 90%+ AI-led, pushing toward the higher 90s. Not by patching legacy workflows—by building AI that makes humans more effective, improves the customer experience, and eliminates friction at every step.

We're adding ~1,000 customers per month. We've grown 100x since last year. We're looking to do even more this year—and that's why we're hiring.

You'll ship AI-powered product features end-to-end. Real systems, real users, real revenue—the same week you write the code.

The Thesis

Turning judgment into compute isn't a one-time project. It's a constant hunt for leverage. New models drop monthly. What was impossible in January is table stakes by June. Someone needs to be on the frontier—figuring out what's newly possible and applying it before anyone else does.

The best product engineers here don't just write features. They embed with the operators who live inside the systems—sales, service, underwriting—find where things break, and build the AI-powered solution before anyone else notices the problem. Your code doesn't sit in a repo. It runs the business.

The Role

You're a full-stack engineer with applied-AI fluency. Frontend, backend, agents, evals—you move across the stack because the problems don't respect stack boundaries. You optimize for user and business impact, not code elegance. You treat AI tooling as a core part of the workflow, not a novelty.

You work directly with founders. No committee. No approval chain. You build it, you ship it, you own the outcome. Prototype Monday, ship Tuesday, measure Wednesday. If it works, push to production. If not, try something else.

We are hiring product engineers across all levels, which we determine during the interview process.

What You'll Do

• Ship AI-powered features end-to-end — Frontend, backend, agents, and evals; you own the whole thing, not a slice

• Embed with operators — Sit with sales, service, and underwriting; find what's broken before they tell you

• Build systems that compound — Every decision gets traced; every outcome feeds back; the AI gets smarter with each interaction

• Stay on the frontier — New model drops? You're testing it that day. New capability lands? You're the one who ships it

• Move fast with AI tooling — Cursor, Claude Code, and whatever comes next; manage multiple coding sessions to compress weeks into days

• Own the metric, not the feature — "We increased conversion by 15%," not "we shipped the thing"

• Prove impact — Set up metrics, track results, present what worked to the company

You Might Be a Fit If...

• You get energy from user and business impact, not code elegance

• You write code with AI (Cursor, Claude Code, Windsurf) and can manage multiple coding sessions

• You're full-stack by instinct—frontend, backend, and the AI layer that makes decisions

• You've shipped AI to production—real systems serving real users, not demos

• You ship fast and iterate—meaningful features in days that others take months on

• You can present to non-technical people and explain why a metric moved

Requirements

• Software engineering experience shipping production systems (level determined during interviews)

• Proficiency in Python, TypeScript, or similar

• Experience building and shipping AI-powered features—LLM applications, agent pipelines, or workflow automation

• Ability to work across the stack: frontend, backend, and the AI layer

• Based in San Francisco or willing to relocate

Nice to Have

• Voice AI or real-time systems experience

• RAG, agent frameworks, or evaluation systems

• Background in operations tooling, sales tech, or workflow automation

• Prior startup experience

Compensation & Logistics

• Salary: $140,000–$280,000 depending on experience + performance bonuses & equity

• Location: San Francisco, in-office. Based in SF or willing to relocate.

• Schedule: Monday–Friday, very early morning start, in-office five days a week.

• Benefits: Uber commuter benefits; breakfast, lunch, and dinner provided; snacks, drinks, and coffee daily; free gym membership; health, dental, and vision insurance.

The Process

1. Technical screen — 60 min remote: project deep dive + system design

2. Super Day on-site — meet the team, sit in on the operation, do real work alongside us.