Senior Product Manager

End-to-End Quoting Product (Primary Objective) 

• Product Ownership: Lead discovery, scoping, sequencing, build, launch, and iteration of a unified quoting experience across our personal and commercial P&C lines of business. 

• Current-State Definition: Map how agents quote today, including every rater, portal, workaround, and re-keyed field, then quantify the time, leakage, and error cost of the status quo. 

• Buy / Build / Integrate Decisions: Evaluate comparative raters, rating engines, carrier APIs, and quoting platforms against building in-house, and bring a clear, evidence-backed recommendation. 

• Carrier & Data Integrations: Partner with Carrier Relations and engineering on carrier connectivity, prefill and third-party data, and the realities of appetite, eligibility, and underwriting rules. 

• Incremental Delivery: Ship in slices rather than a big bang. Get real quoting workflows into agents' hands early and use what you learn to reshape the plan. 

• Business Outcomes: Define and move the metrics that matter: quote cycle time, quotes per agent per day, quote-to-bind conversion, carrier hit ratio, rework and error rates, and agent satisfaction. 

Product Strategy & Discovery 

• Roadmap Ownership: Set and defend the roadmap for your product area with a clear articulated thesis for sequencing. 

• User Research: Run research and interviews directly with agents, CSRs, operators, and internal stakeholders, including shadowing them in their day-to-day work. 

• Feedback System of Record: Maintain an AI-queryable source of truth for customer and stakeholder feedback so the team can interrogate the corpus instead of rereading it. 

• Market Awareness: Track insurtech, rating, and quoting developments, including competitive moves, carrier connectivity trends, and emerging AI capabilities, and translate them into decisions. 

Definition & Delivery 

• Requirements: Write crisp PRDs, user stories, acceptance criteria, and specs that engineers can build from without guesswork. 

• Sprint Partnership: Work with engineering through the full cycle: clarifying requirements, triaging questions, validating builds, and unblocking the team. 

• Release Readiness: Own QA coordination, data migration, training materials, rollout sequencing, stakeholder communication, and post-launch support. 

• Risk & Dependency Management: Track dependencies, risks, and open decisions transparently so no one is surprised. 

Measurement & Cross-Functional Leadership 

• Success Metrics: Define metrics before launch, instrument for them, and build the dashboards and reports that track them. 

• Analysis: Pull and analyze product, operational, and business data to answer whether something is working, for whom, and why. 

• Impact Reviews: Lead post-launch reviews covering what shipped, what changed, what we learned, and what we do next. 

• Stakeholder Partnership: Serve as the trusted product partner across the business and communicate clearly to audiences from engineers to senior leadership. 

• Team Leadership: Mentor our Associate Product Manager, set the standard for how AI is woven into product work, and collaborate with product peers across other Peak6 brands. 

Qualifications

Required Qualifications

• Bachelor's degree in Business, Computer Science, Information Systems, or a related field, or equivalent professional experience.
• 5+ years of product management experience, or equivalent ownership of technology products from discovery through launch and continuous improvement.
• Minimum 3 years of experience in the property and casualty insurance industry. Five or more years is strongly preferred.
• Strong knowledge of the property and casualty insurance ecosystem, including carriers, MGAs, wholesalers, agencies, policy lifecycle, lines of business, underwriting, and commission structures.
• Experience with quoting and rating solutions, including comparative raters, rating engines, agency management systems, carrier portals, APIs, and third party data providers.
• Proven success delivering consumer facing digital products with a strong focus on user experience and product adoption.
• Demonstrated ability to own product outcomes from strategy through execution, measuring success based on business results.
• Strong analytical skills with experience using SQL, spreadsheets, and analytics tools to make data driven decisions.
• Technical understanding of APIs, integrations, data models, and automation. Ability to partner effectively with engineering teams without writing production code.
• Experience delivering complex, integration heavy software products in collaboration with cross functional teams.
• Strong written and verbal communication skills with the ability to influence stakeholders across technical and nontechnical teams.
• Comfortable working in a fast paced, evolving environment with ambiguity and changing priorities.
• Demonstrated proficiency using AI tools to improve productivity, research, problem solving, and product development.

Preferred Qualifications

• Experience with quoting, rating, policy administration, or agent facing workflow products.
• Experience implementing or configuring CRM platforms such as HubSpot, Salesforce, InsuredMine, or similar solutions.
• Experience working within a franchise, MGA, or distributed agency model.
• Experience building AI powered prototypes, automations, or internal tools.
• Demonstrated experience designing customer centric products that simplify complex workflows.