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Data Product Manager

Kin Insurance

Skills

Required

  • Snapsheet / Xactimate / catastrophe modeling
  • RMS
  • Verisk
  • AI
  • SQL
  • product management
  • data analytics

Preferred

  • modeling
  • Connecting data

Join Kin, a fast-growing insurtech company, as a Data Product Manager. In this role, you will enable the data products that drive core insurance decisions, including pricing, underwriting, actuarial analysis, and claims. You will work closely with data engineering to build and ship the datasets needed for these decisions. Your success will be measured by the impact you create, the reliability of the data behind these decisions, and the alignment of key metrics across teams.

Enabling the data products behind Kin’s core insurance decisions, from pricing and underwriting to actuarial analysis and claims.

About Kin Insurance

Comfort in a modern data stack such as Databricks and Looker

Responsibilities

  • Partnering with data engineering to build the datasets that teams rely on to make decisions.
  • Connecting data across the systems that hold it, including Snapsheet and Xactimate for claims and vendor loss modeling from RMS and Verisk.

Requirements

  • Able to use AI to raise your own throughput and prototype ideas fast
  • Some familiarity with the insurance business, or a clear appetite to learn it fast
  • Advanced SQL, able to pull and join data across multiple sources on your own
  • Clear, concise communication with a technical audience and a business one alike
  • 2 to 5 years in product management, data analytics, or an analytical role close to the insurance business
  • Real business sense for how data gets used to decide, ideally from time spent as an analyst making recommendations, not only shipping features
  • The instinct to dig for the real question instead of taking the first request at face value
  • Precise about definitions, since a metric that drives a pricing or claims decision has to mean one thing

Experience partnering with engineering to scope and ship

  • Background in InsurTech or FinTech, especially homeowners, and comfort with concepts like loss ratio, premium, underwriting, and catastrophe risk
  • Familiarity with insurance systems such as Snapsheet, Xactimate, or catastrophe modeling from RMS and Verisk

Pay

USD 118,000 - 136,000