Senior Data Product Manager

Kin is on a mission to change home insurance from what it is to what it should be. Whether we’re leveraging data to create customizable coverage or providing claims service that goes above and beyond expectations, our members are at the heart of everything we do. In the face of ever-growing climate risk, they deserve an insurance company that cares about them. We aim to stick with our members through thick and thin. We use efficient technology that lets homeowners buy directly from us to keep costs down. This is the essence of Kin. Our approach has fostered amazing growth, attracted marquee investors, and earned us accolades, including being named to: Built In Chicago's Best Places to Work, Midsize Companies (2021-2024). Forbes' America's Best Startup Employers (2021- 2023). Inc. 5000 Fastest-Growing Private Companies. Forbes’ Fintech 50. Simply put, our people are what make us great – we need forward-thinking, inspired game-changers like you to join us in our mission. So, what’s the role? We are looking for an ambitious Sr. Product Manager to join our Data Product team as we embark to reimagine the homeowners insurance business. In this role, you will collaborate closely with cross-functional teams, including design, marketing, engineering, finance, analytics, and insurance operations. This role will be focused on driving innovation and delivering data solutions to help Kin scale and become operationally efficient. Your days will be filled conducting discovery on data & analytics needs across the organization, collaborating with cross-functional teams on defining the best solution options, building a roadmap using qualitative and quantitative data, partnering with your dedicated engineering team to deliver, and analyzing the impact you are driving to determine the next steps. You will own your own set of KPIs and roadmap to deliver against your goals which will include a mixture of smaller features and big whitespace ideas. You will have the opportunity to hone your product management skills by working across our robust platform and leading development team. Your success and career growth will hinge on your ability to build effective working relationships with your Kin colleagues and your internal stakeholder team in order to identify areas to improve our business, products, and processes. You enjoy solving problems and will often take the initiative to build your case and start a project. A day in the life could include: Working closely with the Data Product Director to define and communicate the Product vision and goals for our data product offerings. Creating and managing product roadmaps that address the biggest needs in our business and meaningfully impact our OKRs, defining specific, measurable & relevant success metrics, and managing stakeholder expectations. Digging deep into our data and product experience to understand the most significant problems that our stakeholders face and working with analytics, design and engineering to develop and test solutions. Collaborating with the user research team and sharing key learnings with your development team, the product team, and the company. Partnering closely with the development team to socialize your product plans, and collaborate with them to not only size the work, but also how to make it better through team feedback. Writing product requirement documents that provide all of the details needed by our development teams to develop key features. Ensuring the successful rollout, growth, and success of your initiatives, with communications and training to appropriate users/stakeholders across the business. Defining, evangelizing, and monitoring the metrics that demonstrate product success. Coordinating and leading regular team and stakeholder meetings to both gather feedback on your projects and to share important updates. Motivating the development team and connecting the team’s daily work with our bigger goals at Kin. I’ve got the skills… but do I have the necessary ones? 6-8 years of professional experience. 3+ years of software or technology product management experience. Extensive experience working with agile product and engineering teams in startup and/or rapid-growth environments. Strong data analysis skills and demonstrated expertise working with big data and BI tools (ex. Adobe, Tableau, Looker). Insurance, Insurtech, and/or insurance claims experience preferred. Hard Skills Thinks strategically and with a business mindset. Ability to turn incomplete, conflicting, or ambiguous inputs into concrete action plans. Customer Research. Technical proficiency. Effective and concise written and verbal communication. Strong project management skills and well organized. Soft Skills Can motivate and influence others without authority. Able to communicate with empathy and precision. Has a positive mindset and works collaboratively with team members across the organization. Stays cool under pressure and can manage tight deadlines. Experience working across engineering, internal stakeholders, and customers. Values differing opinions and healthy conflict. Eager and willing to learn, improve, and ask questions. Bonus Points Experience applying AI-based data solutions in highly regulated industries such as insurance. Design thinking and be able to build products from 0 to 1. Experience with data visualization tools and analytic dashboards (tableau, looker, fullstory, google analytics). About Kin

Kin is the only pure-play, direct-to-consumer digital insurer focused on the growing home insurance market. We make policies convenient and affordable through a technology platform that delivers a seamless user experience, customized options for coverage, and fast, high-quality claims service. Kin is a fully licensed carrier that offers coverage through its reciprocal exchanges which are owned by its policyholders. To learn more,

visit www.kin.com

. 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.

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