About the role

Principal pricing leader building auditable AI rating engines for Kin, a homeowners insurance company. Improving pricing, risk decisions, and regulatory defensibility across challenging markets.

Responsibilities

Own Kin's AI-enabled pricing strategy end to end
Build tools that turn rate filings, competitor filings, and internal rating logic into executable, auditable rating engines
Build AI-assisted pricing infrastructure for rate-filing transcription, deterministic validation, quote tracing, book re-rating, and source-level provenance
Embed AI into rate reviews, segmentation, filings, and portfolio monitoring workflows
Translate portfolio, market, and climate-risk signals into pricing actions on rate adequacy, risk appetite, eligibility, targeted growth, and remediation
Scout, prototype, and scale AI applications across underwriting, product, and operations
Deliver clear, defensible analyses and recommendations to the Chief Insurance Officer, Chief Analytics Officer, and CEO
Lead collaboration with actuarial, underwriting, product, and data engineering teams to move initiatives from concept to production
Deliver at least one AI-assisted pricing tool adopted by the pricing and risk management team
Create a prioritized roadmap of AI applications across pricing and adjacent functions

FCAS or equivalent depth in P&C actuarial pricing
10+ years of experience across primary insurance
Homeowners insurance experience strongly preferred
Fluency in Python and SQL
Working experience with cloud data platforms such as Databricks or Snowflake
Experience leading discovery with internal users, mapping workflows, identifying costly manual steps, and validating solutions before scaling
Experience designing AI systems for regulated environments, including human-in-the-loop review, evaluation and accuracy testing, audit trails, and model governance satisfying regulators
Ability to communicate technical trade-offs and recommendations clearly to a C-suite audience
Comfort operating with ambiguity and moving from concept to production without a playbook
Ability to coach analysts and establish standards for AI adoption
Open-source insurance tooling or auditable rating engine experience is a bonus
Reinsurance experience or catastrophe modeling exposure for wind, wildfire, or severe convective storm perils is a bonus
Experience building executive dashboards integrating carrier experience, benchmarks, and third-party data is a bonus
Must be able to live and work full-time in one of the listed U.S. states, or Ontario for remote technical positions located in Canada

Company equity through Restricted Stock Units (RSUs)
Annual additional compensation through the Kin Leadership Incentive Plan
401(k) with company match up to 4% of eligible earnings
Multiple medical plan options
Dental and vision coverage
Company-funded HSA contributions
Company-paid life insurance and short-term disability
Employee referral bonuses
Supplemental long-term disability, critical illness, accident, legal, and pet insurance
Mental health support and confidential counseling resources
Flexible PTO for exempt employees (most employees take 15–20 days per year)
8 company-observed holidays
Paid parental leave, including up to 14 weeks at 100% pay for birthing parents and 8 weeks at 100% pay for non-birthing parents
Career mobility and internal growth opportunities
Professional development budgets for certifications, conferences, and learning, subject to management approval
Remote-first work environment
Offices in Chicago and St. Petersburg for collaboration