Senior Product Manager, Underwriting

Hippo

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Austin, TXDallas, TXMorristown, NJSan Jose, CA
Salary
$124,000–$186,000 / yr
Posted
56 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $195k
This role $155k
$111k $242k
below market most similar roles pay here above market

This role pays less than 86% of similar roles. Most pay $172,875–$218,112 — the blue band above. At the midpoint, this role pays about $155k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About Hippo

Hippo Insurance is a home insurance company that offers proactive home insurance products using smart home technology and data to help homeowners prevent claims before they happen. Industry: Insurance Technology & Homeowners Insurance

Hippo currently has 2 open roles on FindRole.

Most-posted roles

View all roles at Hippo

At a glance

TL;DR · Senior Product Manager, Underwriting

The Senior Product Manager, Underwriting joins the product team to own the Underwriting Platform charter. This role involves defining the multi-year strategy and vision for a complex technical platform that integrates a rules engine, risk and underwriting models, and AI-powered agentic workflows. You will manage the end-to-end product lifecycle, translating ambiguous business requirements from Actuarial and Underwriting teams into actionable PRDs and user stories for engineering. Key responsibilities include modernizing infrastructure to improve loss ratios, underwriting accuracy, and automation rates. You must demonstrate expertise in building risk platforms, ML models, and decision automation systems. The role requires bridging the gap between business needs and technical execution to deliver scalable solutions in a risk-intensive insurance environment, specifically focusing on improving efficiency and speed-to-market for new risk appetite changes.

What does a Product Manager earn in Texas?

Median $185500 from 47 postings across 18 companies.

See salary data

What you'll do

  • Define and own the multi-year product strategy for the underwriting platform, rules engine, and AI workflows.
  • Identify opportunities to modernize infrastructure to improve loss ratios, underwriting accuracy, and speed-to-market.
  • Manage the end-to-end product lifecycle including discovery, prioritization, requirements, and post-launch performance.
  • Translate complex business and risk requirements into actionable PRDs, user stories, and acceptance criteria.
  • Lead cross-functional execution with Engineering, Data Science, Actuarial, and Underwriting teams to deliver platform initiatives.
  • Drive the evolution of the rules engine to enable faster and more auditable changes to underwriting logic.
  • Partner with Data Science to integrate risk models into the underwriting workflow for faster production deployment.
  • Track and report on key metrics including loss ratio impact, underwriter efficiency, and automation rates.

What we're looking for

  • 7+ years of experience in product management, including full ownership of the product backlog and leading the software development lifecycle.
  • Experience working with or building risk platforms, rules engines, ML models, and/or decision automation systems.
  • Proven track record of bridging the gap between business and engineering by translating ambiguous problems into clear technical requirements.
  • Demonstrated track record of directly improving risk and efficiency metrics like loss ratio and automation rates at scale.
  • Ability to set a compelling vision for a technical domain while driving rigorous near-term execution.
  • Strong stakeholder management skills to earn trust across business, technical, and executive audiences.
  • Data-driven decision making with strong analytical skills to define success metrics and analyze results.
  • Product management experience in insurance, financial services, or an adjacent industry.
  • Experience with AI and agentic workflow platforms (preferred).

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