Data Product Manager, Growth Tech

Kin Insurance

1d • Remote

About The Position

We’re looking for a data-driven Product Manager to help us unlock growth by connecting the dots across our sales and acquisition ecosystem. This role exists to turn fragmented data into clear, actionable insight — and then translate that insight into product improvements that drive conversion.
You’ll work across five core data sources — site behavior (FullStory), customer segmentation (Twilio Segment), CRM (HubSpot), call performance (Regal), and internal policy and quote data — to understand where we’re winning, where we’re losing, and why. From there, you’ll partner closely with engineering to prioritize and ship solutions that improve outcomes for both our business and our customers.

Requirements

• 2–5 years of experience in product management, analytics, or sales operations
• Advanced SQL skills, including the ability to independently extract, join, and analyze data across multiple sources
• Experience with BI and data platforms such as Looker and Databricks
• Familiarity with CRM and sales tooling such as HubSpot
• Proven ability to synthesize complex, multi-source data into clear insights and prioritized action plans
• Experience working closely with engineering teams to define, scope, and ship product features
• Clear and concise communication skills, both written and verbal

Nice To Haves

• Experience with A/B testing or experimentation frameworks
• Familiarity with HubSpot, Segment, FullStory, Regal, or similar tools
• Background in InsurTech or FinTech

Responsibilities

• Analyze and synthesize data across multiple systems to identify where leads drop off and what drives conversion
• Own the identification and prioritization of high-impact growth opportunities based on data-driven insights
• Define, scope, and deliver product improvements in partnership with data engineering teams
• Define and manage the data layer as the single source of truth for core business metrics, enabling consistent, reliable, and self serve analysis
• Establish clear definitions and alignment on key metrics across sales and operations
• Improve data quality and instrumentation to ensure accurate and reliable decision-making
• Translate complex, multi-source data into clear narratives and actionable recommendations
• Partner cross-functionally to ensure insights lead to measurable business outcomes

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees