Applied Systems, through its division EZLynx, is dedicated to transforming the insurance industry by providing innovative solutions for independent insurance agents. The Sr. AI Product Manager will drive product strategy, lead the development of AI-powered features, and collaborate with engineering and data science teams to enhance product offerings.
Responsibilities:
- Drives agentic product strategy for an assigned area, ensuring delivery against both near-term business objectives and long-term customer value
- Leads end-to-end delivery of agentic features from hypothesis through production
- Influences the roadmap using customer input, market data, and stakeholder feedback; communicates priorities clearly across teams
- Develops and tracks KPIs for product and feature performance, including adoption of AI-powered capabilities
- Owns product ROI, connecting investments to customer value, ARR, and retention
- Identifies and drives process improvements across the team
- Exhibits behaviors that exemplify Applied Systems’ Values in Action
- Defines and owns the strategy and roadmap for agentic and AI-powered features within an assigned product area
- Collaborates with engineering and data science teams to prototype, test, and iterate on agentic workflows
- Identifies and validates automation and intelligence opportunities through user research, competitive benchmarking, and market analysis
- Defines problem statements and success criteria for AI features; tests hypotheses before committing engineering investment
- Leads cross-functional teams through full development cycles, from discovery through GTM and post-launch adoption
- Develops and presents business cases to product leadership quantifying customer value, adoption potential, and commercial impact
- Defines positioning and market differentiation for AI-powered capabilities; communicates feature value to go-to-market teams
- Designs feature experiments and launch approaches; incorporates learnings into subsequent cycles
- Synthesizes user data, behavioral analytics, and market signals to refine strategy and backlog priorities
- Maintains and prioritizes the backlog for existing product lines; triages support issues efficiently
- Monitors existing product performance and recommends improvements based on data
- Communicates user needs cross-functionally to align feature and product prioritization
- Mentors junior product team members on core PM practices and AI product development
Requirements:
- 7+ years of product management experience
- Demonstrated experience delivering AI-powered or agentic product features to market
- SaaS product experience required; insurance industry experience a plus
- Expert communicator; able to influence stakeholders at multiple levels and align cross-functional teams
- Working knowledge of AI/ML capabilities as applied to product features; able to engage substantively with engineers on agentic system design and data requirements
- Comprehensive knowledge of product management methodologies, best practices, and business strategy
- Skilled in data analysis; able to derive actionable insights from complex datasets and define leading indicators
- Strong strategic thinker; makes confident decisions balancing short-term delivery with long-term product integrity
- Experienced managing competing priorities across complex, multi-team initiatives
- Validates problems with real users before committing to solutions
- Familiarity with AI Native product decisions and evaluations of AI outcomes
- High agency; owns results end-to-end and removes blockers proactively