Associate Director, Product Management - AI Property Underwriting

Accountabilities

• Product Strategy and Roadmap: Own the vision, strategy, roadmap, and commercial outcomes for AI-powered property inspection analytics products, driving the transition from initial launch to scaled adoption among insurance carriers.

• Portfolio Development: Expand product management responsibilities across the broader property underwriting portfolio, identifying opportunities where AI and new data capabilities can deliver value to insurers and strengthen existing analytics offerings.

• AI Product Development: Collaborate closely with machine learning and platform engineering teams to define product scope, assess model quality, establish evaluation methods, and manage trade-offs. Determine when model outputs are ready for release and ensure appropriate handling of model errors and non-deterministic behavior.

• Commercialization and Revenue Growth: Partner with pricing and packaging teams to develop commercial models that reflect product value. Manage the commercial funnel from initial evaluations and proof-of-value engagements through paid conversion, with accountability for adoption and revenue targets.

• Customer Discovery and Carrier Engagement: Lead pilot programs and evaluation relationships with insurance carriers and ecosystem partners. Develop evaluation plans, review results, gather customer feedback, and translate insights into actionable roadmap decisions.

• Product Launch and Release Management: Coordinate product launches and new capability releases, defining release criteria and ensuring sales enablement, employee training, and customer support readiness.

• Responsible AI and Governance: Coordinate legal, privacy, risk, and AI governance reviews, ensuring products meet relevant internal requirements before release and supporting responsible AI adoption throughout the product lifecycle.

• Cross-Functional Leadership: Align engineering, design, commercial, legal, privacy, risk, and go-to-market stakeholders around product priorities, launch plans, and business objectives.

• Continuous Improvement: Monitor product performance, customer adoption, and commercial outcomes to identify opportunities for refinement, stronger market positioning, and long-term growth.

Requirements:

• Bachelor's degree or equivalent practical experience required; an advanced degree in a technical or business discipline is preferred.

• At least six years of product management experience within a technology, data, or analytics company.

• Demonstrated success taking new products or major capabilities from early concept through launch and into initial commercial traction, including converting early evaluations into paying customers.

• Hands-on experience building and launching AI- or machine learning-powered products, ideally involving computer vision or vision-language models.

• Familiarity with model evaluation, quality trade-offs, and the operational challenges of non-deterministic AI systems.

• Strong understanding of AI concepts and practical experience using AI tools to streamline workflows, improve operational efficiency, and solve business problems.

• Awareness of AI risk management and responsible AI principles, with a willingness to deepen expertise in AI governance and responsible adoption in collaboration with machine learning teams.

• Experience managing products within a large, established portfolio, balancing roadmap priorities across multiple customers, product lines, and stakeholders.

• Demonstrated commercial accountability, including product launches, pricing and packaging collaboration, customer adoption, and conversion of pilot engagements into revenue-generating relationships.

• Proven ability to lead cross-functional initiatives involving engineering, design, legal, privacy, risk, and go-to-market teams.

• Strong customer discovery and enterprise client-facing skills, including the ability to lead carrier evaluations, present to senior executives, and translate customer feedback into clear product decisions.

• Excellent communication, stakeholder management, and strategic decision-making skills, with the ability to balance technical considerations, customer needs, and commercial objectives.

• Experience in property and casualty insurance, insurance technology, or property data and analytics is strongly preferred.

Benefits:

• Base salary: $124,600–$222,200 per year for US-based roles, depending on experience, education, skills, level, and location.

• Incentive compensation: Eligibility for additional incentive compensation.

• Healthcare coverage: Medical, dental, and vision insurance.

• Retirement savings: 401(k) plan with opportunities for employee and company contributions.

• Paid time off: Paid leave and time-off benefits.

• Parental leave: Support for eligible employees and families.

• Insurance protection: Life, disability, and accident insurance.

• Employee stock purchase plan: Access to a discounted employee stock purchase program.

• Professional development: Tuition reimbursement opportunities.

• Career growth: Opportunities to work on applied AI products, influence product strategy, and contribute to innovative insurance analytics solutions.

• Collaborative environment: Work with cross-functional teams focused on responsible AI adoption, customer outcomes, and continuous product innovation.