Product Manager

Applied Systems, Inc.•Lewisville, TX

1d•$90,000 - $130,000•Remote

About The Position

Amazing Career Moments Happen Here Transforming the insurance industry is ambitious, we know. That’s why at EZLynx, a division of Applied, we are committed to transforming every facet of agency life by providing the most innovative solutions to improve how independent insurance agents work every day. We are the Real-Time Rating pioneers in our industry, and we are looking for out-of-the-box thinkers and innovative solution seekers to join our team. Position Overview We are looking for a Product Manager who is eager to create AI-powered features alongside engineers and understands how AI is reshaping the software development lifecycle — from rapid prototyping and AI-assisted development workflows to autonomous, agentic experiences for end users. Experience with AI product delivery is a plus; a strong foundation in product management and a hunger to grow in this space will set you up for success. To keep us headed in the right direction, we’re looking for people who understand winning is a team sport, who value and seek to learn from our team’s diverse experiences and backgrounds, who welcome a challenge and take risks in the pursuit of creating better outcomes for our customers, and who can, at any given time, step back to laugh and have some fun.

Requirements

5+ years of product management or engineering experience, or 3+ years of product management with an MBA.
Familiarity with AI/ML concepts and enthusiasm for building AI-powered product experiences.
SaaS product experience required; insurance industry experience a plus.
Strong written and verbal communicator; able to articulate complex ideas clearly and craft compelling narratives for teams and stakeholders.
Proven understanding of product management methodologies across the full product lifecycle.
Applied knowledge of customer needs and behaviors within a product domain; able to translate insights into actionable strategies.
Proficient in writing and managing high-quality user stories at both the feature and product level.
Adept at managing multiple priorities, balancing short-term execution with longer-term product vision.

Nice To Haves

Experience with AI product delivery is a plus
insurance industry experience a plus

Responsibilities

Develops and communicates strategies for solving complex product challenges within an assigned area.
Leads complex initiatives spanning multiple teams or stakeholders, ensuring on-time delivery and high-quality results.
Influences the roadmap with input from key stakeholders; communicates priorities clearly within and across teams.
Provides data-driven insights on product performance and identifies areas for improvement.
Leads the definition and achievement of product outcomes for assigned feature areas or products.
Proactively leads cross-functional efforts to improve team processes and drive change.
Exhibits behaviors that exemplify Applied Systems’ Values in Action.
Defines and executes the strategy and roadmap across multiple feature areas or products, including agentic and AI-powered capabilities.
Partners with engineering and data science teams to build, test, and iterate on agentic workflows and AI-powered features.
Conducts user research, competitive benchmarking, and market analysis to identify and validate customer needs and automation opportunities.
Defines problem statements and success criteria for features; tests assumptions 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 that connect proposed investments to customer value and business outcomes.
Defines product positioning and communicates feature value to go-to-market teams.
Leads feature experiments and launch approaches; incorporates learnings into subsequent delivery cycles.
Manages the product backlog and release plan across assigned areas, balancing new AI feature development with ongoing SaaS product needs.
Monitors product performance and recommends improvements based on customer data and usage signals.
Leads feature adoption motions; designs adoption strategies for assigned areas.
Collaborates with Software Development, UX, Customer Experience, Go-To-Market, Customers, and Product Leadership.