Data Product Manager
Kin Insurance · Remote · Remote ·
COMPENSATION
$118k – $136k
Listed on the employer's job board (Ashby)
- Fully remote (US/Canada)
- 2-5 years experience
- Advanced SQL required
- Databricks + Looker
- Equity + 401k match
You will enable the data products that drive core insurance decisions at Kin, such as risk pricing and actuarial analysis. By connecting data from systems like Snapsheet, Xactimate, RMS, and Verisk, you will ensure teams have reliable, self-serve metrics. Your work focuses on defining clear metric definitions and improving data quality to support confident business decisions.
What you'll do
- Identify the underlying business questions behind requests from pricing, underwriting, or claims teams
- Partner with data engineering to scope, build, and ship necessary data products
- Connect data across multiple systems including claims stacks and vendor loss modeling tools
- Proactively build supporting datasets to allow teams to investigate metrics without delay
- Own the data layer as the single source of truth for core insurance metrics
- Define precise metric meanings before deployment to ensure consistent financial decisions
- Improve data quality and instrumentation to build trust in decision-making numbers
- Translate complex, multi-source data into clear stories and actionable recommendations
What you'll need
- 2 to 5 years in product management, data analytics, or similar analytical roles
- Business sense for how data drives decisions, ideally from an analyst background
- Advanced SQL skills to pull and join data across multiple sources independently
- Comfort working with modern data stacks such as Databricks and Looker
- Ability to dig for real questions rather than accepting initial requests at face value
- Precision in defining metrics that drive pricing or claims decisions
- Experience using AI tools to increase throughput and prototype ideas quickly
- Clear communication skills for both technical and business audiences
Nice to have
- Background in InsurTech or FinTech, specifically in homeowners insurance
- Familiarity with concepts like loss ratio, premium, underwriting, and catastrophe risk
- Experience with insurance systems such as Snapsheet, Xactimate, RMS, or Verisk
Stack
- SQL
- Databricks
- Looker
- Snapsheet
- Xactimate
- RMS
- Verisk
How you'll work
- Remote-first company with offices in Chicago and St. Petersburg
- Must reside in one of 41 eligible US states or Ontario, Canada
- Full-time employment required
What you get
- Competitive salary and equity via Restricted Stock Units
- 401(k) with company match up to 4% of eligible earnings
- Multiple medical, dental, and vision plan options
- Company-funded HSA contributions based on plan selection
- Company-paid life insurance and short-term disability
- Flexible PTO with most employees taking 15–20 days annually
- Paid parental leave: 14 weeks for birthing parents, 8 weeks for others
- Professional development budgets for certifications and conferences
Hiring process
- Application review by in-house recruiters until October 23rd, 2026
- Interviews with recruiters, hiring managers, and team members
- Skills assessment relevant to the position if applicable
- Prompt updates and feedback provided after interviews