Job description

QUICK SUMMARY Enable the data products behind Kin’s core insurance decisions, from pricing and underwriting to actuarial analysis and claims. Get to the real question behind each request, then partner with data engineering to build the datasets those teams rely on to decide. WHO WE ARE Kin makes life simpler, more affordable, and better for homeowners, especially in the places where climate risks, rising costs, and outdated systems make it harder. We start with smarter homeowners insurance and expand to everything homeowners need to thrive. Using data, technology, and thoughtful human support, we’re building products that are clear, fair, and help homeowners feel confident — so homeowners aren’t left behind when they need help most. Founded in 2016, Kin is a remote-first employer with Kinfolk across more than 35 states. We serve customers in 14 states (and counting). Our disciplined growth, strong customer satisfaction, and focus on long-term sustainability fosters outstanding growth, attracts marquee investors, and earns recognition and accolades, including: - Built In Chicago's Best Places to Work, Midsize Companies (2021-2026) - Forbes' America's Best Startup Employers (2026) - Inc. 5000 Fastest-Growing Private Companies - Forbes’ Fintech 50 (2023-2026) - Great Places to Work Certified (May 2024-May 2027) Most importantly, we’re building Kin to be a place where people do meaningful work with real impact — for our customers, our communities, and each other. We're excited to tell you more about how you can contribute to our rapid growth, strong unit economics, profitability, and excellent customer ratings. To learn more about how we work and what we’re building, visit kin.com kin.com and see how we work linkedin.com. THE OPPORTUNITY We’re looking for a data Product Manager to enable the data products behind how Kin prices risk, underwrites policies, runs actuarial analysis, and handles claims. The data that drives those calls lives in many systems, from the claims stack in Snapsheet and Xactimate to vendor loss modeling from RMS and Verisk, alongside our own underwriting and pricing data. This role sits in the middle of that and makes the data usable, so the teams making these decisions can see what is happening and why. You will enable the data products that drive those decisions rather than owning the calls yourself. That means finding the real question a team is trying to answer and shaping the datasets they need, then partnering with data engineering to build and ship them. YOUR RESPONSIBILITIES - Dig past the first request to the real decision a pricing, underwriting, actuarial, or claims team is trying to make, asking why enough times to get there - Enable the data products behind those decisions, from the datasets that feed a rate review to the views a claims team works from - Connect data across the systems that hold it, including Snapsheet and Xactimate for claims and vendor loss modeling from RMS and Verisk, so a change in any of them is understood and handled - Build supporting datasets proactively, ahead of the questions, so teams can dig into a metric or a problem without waiting on a new pull - Scope and deliver data products in partnership with data engineering - Own the data layer as the single source of truth for core insurance metrics like loss ratio and pricing accuracy, so analysis stays consistent and self serve - Nail down what each metric means before it ships, since these numbers steer real money decisions on rate and risk selection - Improve data quality and instrumentation so these decisions rest on numbers people trust - Translate messy, multi source data into a clear story and a recommendation someone can act on - Partner across pricing, actuarial, underwriting, claims, and data engineering so insight turns into decisions SUCCESS IN THIS ROLE In your first 6 to 12 months at Kin, success is less about checking boxes and more about the impact you create. You will use your skills and judgment to take ownership of meaningful work, improve how we operate, and help move Kin’s mission forward. Along the way, you will deliver outcomes that make a real difference for both Kinfolk and the homeowners we serve. By the end of your first year, you should feel confident in your role, trusted as an owner, and proud of the progress you have helped make. - The pricing and underwriting decisions in your area are backed by numbers people trust, and the same is becoming true for claims - You have shipped data products that measurably improved an outcome the business cares about, such as loss ratio visibility or pricing accuracy - The teams you support agree on what the key metrics mean and are working from shared, reliable numbers - The data behind those decisions is more reliable and consistent, so calls happen faster and with less second guessing WHAT YOU’LL BRING - 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 - Advanced SQL, able to pull and join data across multiple sources on your own - Comfort in a modern data stack such as Databricks and Looker - 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 - Able to use AI to raise your own throughput and prototype ideas fast - Experience partnering with engineering to scope and ship - Some familiarity with the insurance business, or a clear appetite to learn it fast - Clear, concise communication with a technical audience and a business one alike Bonus Points - 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 HOW WE HIRE We believe a great hiring experience should be clear, respectful, and human. We’ll accept applications for this position until October 30, 2026. While our recruiting team uses AI tools for efficiency, resumes are still screened by Kin’s in-house recruiters, and candidate evaluations and hiring decisions are made by recruiters and hiring teams. Rest assured, real people make real decisions. The hiring process and timeline for each role will vary, depending on the position. However, here are some things you can expect from us: - Prompt updates and feedback following interviews - Interviews with recruiters, hiring managers, and members of teams - Skills assessment relevant to the position, if applicable - Genuine, thoughtful human interaction at every step HOW WE SUPPORT YOU We offer a comprehensive, competitive benefits program, allowing you to choose the benefits that are best for you and your family, starting on the first day of the month following your start date. Core Benefits That Support You - Competitive salary and company equity through Restricted Stock Units (RSUs), granted as part of our standard compensation package and based on role and level - 401(k) with company match up to 4% of eligible earnings - Multiple medical plan options, plus dental and vision coverage - Company-funded HSA contributions (based on medical plan selection) - Company-paid life insurance and short-term disability Health & Wellbeing - A variety of supplemental benefit options, including long-term disability, critical illness, accident, legal, and pet insurance - Access to mental health support and confidential counseling resources - Flexible PTO for exempt employees (most employees take 15–20 days per year), plus 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 Growth & Development - Career mobility and internal growth opportunities across the organization - Professional development budgets for certifications, conferences, and learning available, subject to management approval HOW WE WORK We don’t just hire for skills. We hire for alignment. Kinfolk bring diverse perspectives, but we’re united by a shared set of values that shape how we work and how we show up for each other and our customers. Run through walls, together - Every one of us is responsible for creating the culture we want to work in. High performance. Low drama. Always respectful. We assume the best in each other and challenge ideas, not intentions. We show up, work hard, and play to each other's strengths — because that’s how great teams win. Raise the bar. Drop the ego - Attitudes are contagious. Every one of us is responsible for creating the culture we want to work in. High performance. Low drama. Always respectful. Like professional sports teams, we win by working in sync. We show up, work hard, and play to each other’s strengths. Act like an owner - We are owners, fully accountable for achieving Kin’s mission. That requires positive, proactive, big-picture thinking well beyond our job descriptions. Ask questions, Take ownership. Do the right thing, even when it‘s hard. Because when Kin thrives, so do you. And so do our customers. Operate lean. Deliver more - We build efficiency into everything we do. Each dollar we save gets reinvested to deliver more to our customers: better pricing, more products, and new innovations. We work smarter by relentlessly prioritizing and using technology, including AI, to multiply our impact. Lean is about focus, not deprivation. Lean isn't a limitation — it's our competitive advantage. Keep asking ‘What if?’ - We value curiosity. To make insurance better for our customers, we experiment. We embrace insights. And we base decisions on data rather than assumptions. We see setbacks as opportunities for growth and are always learning and improving. Both individually and as a company. WHERE WE WORK We are a remote-first company with offices in Chicago, IL and St. Petersburg, FL where teams can come together for collaboration. For Sales Agents and Customer Service Agents: These roles sit in any of the following 32 states: AL, AZ, CO, FL, ID, IL, IN, KS, KY, LA, MA, MD, ME, MI, MO, MT, NC, NE, NM, NV, NY, OH, OK, PA, SC, TN, TX, UT, VT, VA, WA, and WI. 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. Please only apply if you are able to live and work full-time in one of the states listed above. For remote technical positions located in Canada, we are only able to hire individuals who reside in Ontario. Applicants must be able to live and work full-time in Ontario to be considered. State locations and specifics are subject to change as our hiring requirements shift. EEOC STATEMENT Kin is proud to be an Equal Employment Opportunity and Affirmative Action Employer. We don't just accept difference – we honor it, nurture it, and celebrate it. We don’t discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Kin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation, please contact us by sending an email to careers@kin.com

Requirements

Must-haves

Dig past the first request to the real decision a pricing, underwriting, actuarial, or claims team is trying to make, asking why enough times to get there
Enable the data products behind those decisions, from the datasets that feed a rate review to the views a claims team works from
Connect data across the systems that hold it, including Snapsheet and Xactimate for claims and vendor loss modeling from RMS and Verisk, so a change in any of them is understood and handled
Build supporting datasets proactively, ahead of the questions, so teams can dig into a metric or a problem without waiting on a new pull
Scope and deliver data products in partnership with data engineering
Own the data layer as the single source of truth for core insurance metrics like loss ratio and pricing accuracy, so analysis stays consistent and self serve
Nail down what each metric means before it ships, since these numbers steer real money decisions on rate and risk selection
Improve data quality and instrumentation so these decisions rest on numbers people trust
Translate messy, multi source data into a clear story and a recommendation someone can act on
Partner across pricing, actuarial, underwriting, claims, and data engineering so insight turns into decisions
By the end of your first year, you should feel confident in your role, trusted as an owner, and proud of the progress you have helped make.
The pricing and underwriting decisions in your area are backed by numbers people trust, and the same is becoming true for claims
You have shipped data products that measurably improved an outcome the business cares about, such as loss ratio visibility or pricing accuracy
The teams you support agree on what the key metrics mean and are working from shared, reliable numbers
The data behind those decisions is more reliable and consistent, so calls happen faster and with less second guessing
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
Advanced SQL, able to pull and join data across multiple sources on your own
Comfort in a modern data stack such as Databricks and Looker
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
Able to use AI to raise your own throughput and prototype ideas fast

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

restsqlai

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave

Professional Development