Product Manager - Growth Acquisition

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KinHomeowners insurance

For all other positions, these roles can sit in any of the following 41 states: AL, AR, AZ, CA (exempt only), CO, CT, FL, GA, ID, IL, IN, IA, KS, KY, LA, MA, ME, MD, MI, MN, MO, MT, NC, NE, NJ, NM, NV, NY, OH, OK, OR, PA, SC, SD, TN, TX, UT, VT, VA, WA, and WI. For remote technical positions located in Canada, we are only able to hire individuals who reside in Ontario.Full-TimeManager

Salary$139K - $166.5K; $139K – $166.5K • Offers Equity; Product Manager: $139K – $166.5K • Offers Equity

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Job Details

Experience: 5+ years of experience in product management
Required Skills: SQLBusiness IntelligenceProduct ManagementA/B testingHubSpotDatabricksLooker

Requirements

Have 5+ years of product management experience, with direct ownership of a funnel, platform, API, or internal tooling product.
Bring experience with platform modernization or re-platforming at scale, including sequencing migrations without disrupting dependent teams.
Be comfortable operating in ambiguity across multiple teams and stakeholder groups.
Have technical fluency to contribute to architecture and data model conversations and understand platform impacts on reliability, scalability, and regulatory compliance.
Have experience building quoting, checkout, or sales workflows across agent-assisted and self-serve channels that integrate with third-party platforms.
Have hands-on SQL and BI skills, such as Databricks or Looker.
Use AI tools to increase personal throughput and prototype ideas quickly.
Communicate clearly and concisely with technical and business audiences.
A/B testing or experimentation framework experience is a bonus.
Coding experience is a bonus.
Familiarity with HubSpot, Segment, FullStory, Regal, or similar tools is a bonus.
Background in InsurTech or FinTech is a bonus.

Responsibilities

Own the roadmap for migrating the current quoting foundation and customizing Kin’s multi-channel quoting capabilities.
Partner with engineering, design, and stakeholders to take quoting capabilities from prototype through production rollout.
Coordinate dependencies and timelines across teams, surfacing risks and trade-offs early.
Improve the quoting experience for agents and customers to reduce time to quote and friction to bind.
Lead experiments in customized and cross-channel quoting, setting hypotheses, success metrics, and next steps.
Write precise specifications and requirements for engineering.
Build and scale AI-native workflows for the quoting experience.

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