---
title: 'Product Manager at Harper'
canonical: 'https://feeny.ai/job/product-manager-harper-san-francisco-jbysqtk24pke'
type: 'job'
last_seen: '2026-10-17'
---

# Product Manager at Harper

- **Company:** Harper
- **Location:** San Francisco, CA
- **Compensation:** $125k–$170k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-26
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.ashbyhq.com/harperinsure/4d603511-cb01-4203-a184-13fe60aed9ee

## Job description

Product Manager

Harper is an AI-native commercial insurance company in San Francisco. We're not bolting AI onto insurance — we're rebuilding the entire business as software, on a simple bet: turning expert human judgment into compute is one of the largest transitions left to make, and a trillion-dollar industry still run 90% by hand is the place to prove it. We've grown ~100x in the last year and we move at that speed — on-site, in person, long days, very high standards. Almost no one joins Harper for insurance; they join to build the company that replaces how it works.

## The role

Harper isn't an AI tool sold to brokers. We are the broker — we do the work end-to-end and sell the outcome: the right coverage, fast, at the right price, with the right service. Owning both sides is the moat, and the companies that win this transition won't just have great AI; they'll have figured out how to organize themselves around it, so that knowledge gets encoded into systems agents and operators can query. That's the question this role sits inside. You'll own a module of the business end-to-end — the customer experience, the operator workflows, and the AI agents underneath — and run it with a forward-deployed engineer and the operators who live in it: sales, service, underwriting, ops. The founding PM team has gone wide across every module; now we go deep. How a daycare buys insurance versus a trucking company. What "urgency" means for a tow yard with expiring dealer plates versus a GL renewal. Your job is to encode that nuance into the systems until they do the work as well as a human in most places and better than a human in many. Own the module, move the metric, then go own the next.

## What you'll do

- Own the KPIs. Conversion, handle time, accuracy, autonomous-resolution rate, retention — whatever the leverage point is for your surface. You set the targets, instrument them, move them. If the metric isn't moving, that's your problem.
- Encode the nuance. Translate what makes your module's customers different into rules, prompts, agents, and data structures.
- Own the eval regime. Probabilistic systems are only valuable when people trust them: regressions on every change, evals mapped to real outcomes (not vibes), backtests against historical applications, call-by-call review where it matters. You'll be paranoid about silent regressions in a way most PMs aren't.
- Build the data flywheel. Work hand-in-glove with data labeling and validation to build the golden datasets your module's models need. You define what "right" looks like.
- Own the cross-modal experience. Your module spans web, voice, and human. You decide where each modality wins, where they hand off, how the on-ramps feel.
- Live with operators. Sit with sales, service, underwriting. Watch the work. Find what's broken before they tell you.
- Talk to customers every day. Literally — not "5 calls last quarter."
- Prototype with AI. Claude Code, Cursor, Lovable. Walk into the meeting with a working prototype, not a deck.
- Hyper-prioritize. Out of 50 asks, find the 3 that move the KPI and ignore the rest with conviction.

## What we're looking for

- 1–3 years in product, or an early-career operator, engineer, or AI researcher who's been doing the work without the title.
- Demonstrated end-to-end ownership of a product or system — KPIs, roadmap, execution — and a track record of going deep on a domain and encoding what you learned into a system.
- You get what an AI services company is: we're not selling software, we're doing the work and selling the outcome, which means you ship behavior into a probabilistic system real operators and customers have to trust.
- You're obsessed with evals — you'd rather ship a worse model with a great eval harness than the reverse — and you think in KPIs ("we cut handle time 40%," not "we shipped the feature").
- You can build: Cursor, Claude Code, Lovable. You can argue AI tradeoffs (agents, LLMs, context engineering, data pipelines, evals) with the engineer who writes the code, even though you don't write it.
- You go deep before you go wide, and you want to own a thing, not coordinate one. If "PM" sounds like meetings, this isn't it.
- Bonus: AI/ML products, voice AI, agent frameworks, or workflow automation; eval/prompt/context engineering; insurance, fintech, or regulated-industry experience; prior startup experience.

The reality

On-site in San Francisco, Monday–Friday, roughly 5 AM–8 PM. The hours are long and the learning curve is steep — we hire early-career PMs on purpose and hand them the kind of surface area and reps that take a decade somewhere else. The people who thrive here wouldn't have it any other way. If that's a cost you're glad to pay, this is one of the few PM seats where you own a real piece of the business from week one.

Logistics

- Compensation: $125,000–$170,000 base + performance bonus + equity.
- Location: San Francisco, in-office. Based here or willing to relocate.
- Benefits: Uber commuter benefits; breakfast, lunch, and dinner provided; snacks and coffee stocked; free gym membership; health, dental, and vision.
- Process: 20-min lead screen → technical conversation (walk us through analysis you've done) → on-site.

To apply: Commercial insurance has never been rebuilt, and the gap between what frontier models make possible and what's actually shipped in this industry is the largest it will ever be. If you want to own a module that touches real customers from week one — send your resume and tell us about something you built that moved a number.

## About Harper

## Company Overview

- **One-liner**: Harper is an AI-native commercial insurance brokerage that uses data and automation to help mid-sized businesses secure optimal coverage faster and at lower cost.
- **Entity Type**: Private startup (Y Combinator Winter 2025, raised $47 million)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2024
- **Founders**: Dakotah Rice (CEO) and Tushar Nair (CTO)

## Core Business

- Primary industry: Commercial insurance (Excess & Surplus lines brokerage)
- Target customers: Mid-sized businesses with complex insurance needs, spanning technology, life sciences, aerospace, construction, and consulting
- Mission: "We want to become the largest insurance brokerage in the world with the best NPS." (Source: [Y Combinator](https://www.ycombinator.com/companies/harper))

## Products & Services

- **Harper Hub**: Proprietary AI-native platform that automates form filling, carrier matching, and client communications, cutting weeks from the traditional quoting timeline.
- **Brokerage Services**: Comprehensive commercial insurance products including General Liability, Professional Liability (tech E&O with no AI exclusions), Cyber Insurance, Commercial Auto, Commercial Property, Umbrella, and Bonds – all placed through an AI-enhanced workflow.
- **Specialty Expertise**: Deep coverage for regulated industries such as FDA‑regulated labs, aerospace contractors, and security guard firms.

## Market Standing

- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding of **$47 million** (confirmed on company website and Y Combinator profile; some third‑party sources list a lower figure but official sources indicate $47M)
- **Notable Investors**: Y Combinator (pre‑seed lead); other investors not publicly detailed
- **Growth Signals**: Writing over **$6 million in annualized premiums** across 35 states (as of early 2025); **6,000+ clients** with **98.78% client retention**; headcount of 39 employees growing **353% year‑over‑year**; **19 open positions**; 100% success placing tech E&O without AI exclusions.

## Competitive Advantages

- **AI‑native infrastructure**: Proprietary technology automates quoting, binding, and service, enabling faster turnaround and lower overhead compared to traditional brokers.
- **Deep niche expertise**: Focus on complex, regulated industries (tech, life sciences, aerospace) where incumbents often struggle.
- **High retention**: 98.78% client retention rate and proven ability to place hard‑to‑cover policies (e.g., tech E&O with AI exclusions) signal strong customer trust.
- **Data‑driven underwriting**: Real‑time analysis of prior interactions and quote intelligence to match businesses with the best carrier.

## Strategic Focus

- Scaling the AI‑native brokerage to serve the mid‑market today and eventually all businesses (commercial insurance commissions represent a $100B+ market).
- Aggressively hiring across engineering, sales, operations, and partnerships to support rapid growth.
- Expanding carrier partnerships and geographic reach (currently licensed in 35 states).

## Why Work Here

- **Early‑stage impact**: Join a Y Combinator‑backed startup at its inflection point, building the AI‑native future of insurance.
- **High‑leverage roles**: Engineers and GTM professionals work directly on systems (LLMs, automation) that drive measurable business outcomes.
- **Culture**: "Human expertise amplified by AI" – domain knowledge meets cutting‑edge technology; teammates from Goldman Sachs, Coinbase, and other top firms.
- **Work environment**: San Francisco headquarters with both in‑office and remote roles available depending on the position.
- **Compensation**: Competitive startup salaries (e.g., $160K–$230K for engineering roles per job listings).
- **Career growth**: Fast‑growing company (353% headcount growth) with opportunities to shape processes and take on ownership early.

## Sources

1. [harperinsure.com](https://harperinsure.com/) – Company website (home page)
2. [jobs.ashbyhq.com/harperinsure](https://jobs.ashbyhq.com/harperinsure) – Careers page
3. [ycombinator.com/companies/harper](https://www.ycombinator.com/companies/harper) – Y Combinator company profile
4. [linkedin.com/company/harperinsure](https://www.linkedin.com/company/harperinsure) – LinkedIn company page
5. [builtin.com/company/harper-harperinsurecom](https://builtin.com/company/harper-harperinsurecom) – Built In company profile

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