Digital Product Manager, Agentic Experiences

About this role

Does this position interest you? You should apply – even if you don’t match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work.

Does this position interest you? You should apply – even if you don’t match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work.

A Brief Overview We are building the next generation of how people interact with Safelite, with agentic AI creating new possibilities for how they access services, make decisions, and engage with us. We are seeking a Digital Product Manager, Agentic Experiences to build and continuously improve intelligent products that create meaningful customer and business value.

Reporting to the Product Director, Agentic Experiences, you will own a defined product space within the agentic portfolio. You will identify and prioritize high-value customer and business opportunities, shape product direction, lead discovery and delivery, and use evidence from live interactions to guide how the product evolves.

This is a hands-on product role. You will work directly with AI-native tools, interaction data, and agent performance signals to understand what is happening, identify opportunities, test ideas, and determine what comes next. You will partner closely with Design and Engineering to turn that learning into products and capabilities that deliver measurable value.

What You Will Do • Own the Product

• Own the strategy, roadmap, outcomes, and performance for a defined area of Safelite’s agentic experience portfolio.

• Identify and prioritize high-value opportunities by connecting customer needs, business priorities, behavioral signals, and emerging AI capabilities.

• Translate those opportunities into clear product direction, priorities, and measurable outcomes.

• Make product tradeoffs based on customer value, business impact, evidence, effort, risk, and learning potential.

• Maintain a clear view of current product capability, performance, and where the product should evolve next.

• Discover and Build

• Lead continuous discovery with Design, Engineering, Research, Analytics, and business partners.

• Develop and test hypotheses using customer insight, behavioral data, prototypes, experimentation, and emerging AI capabilities.

• Use AI-enabled tools throughout discovery and delivery to explore opportunities, analyze signals, prototype concepts, and accelerate learning.

• Partner closely with Design and Engineering to shape agent behavior, interaction models, capabilities, and the systems required to support them.

• Bring structure and momentum to emerging opportunities where customer expectations, technology, and product patterns are still evolving.

• AI-Enabled Product Optimization

• Use AI-native tools to analyze interactions at scale, identify patterns, surface emerging issues, and uncover opportunities to improve product and agent performance.

• Move between patterns across large volumes of interactions and individual conversations to understand customer intent, agent behavior, and outcomes.

• Use AI to investigate performance, form hypotheses, identify root causes, and determine where changes can create the greatest customer and business value.

• Use simulation, evaluation, experimentation, and behavioral signals to test ideas and understand likely impact before and after changes are introduced.

• Partner with Design and Engineering to translate those insights into changes to agent behavior, product capabilities, and the broader experience.

• Create a continuous feedback loop where AI helps the team understand and improve the AI-enabled products we put into the world.

• Measure What Matters

• Define how product and agent performance should be measured across experience quality, task completion, business outcomes, and operational impact.

• Use behavioral data, analytics, evaluation results, and customer signals to develop an independent point of view on product performance.

• Partner with Analytics and Engineering to ensure the product is instrumented to answer the questions that matter.

• Connect product decisions to measurable outcomes and adjust direction as new evidence emerges.

• Lead through Partnership

• Work with Design and Engineering as close partners from opportunity definition through implementation and optimization.

• Partner across Operations, Contact Center, Sales, Client teams, Analytics, Technology, and other functions to connect the digital product to the broader Safelite experience.

• Create clarity around priorities, decisions, dependencies, and outcomes across the team.

• Communicate product direction, learning, performance, and tradeoffs clearly to partners and senior leaders.

• Performs other duties as assigned

• Complies with all policies and standards

What You Will Need • Bachelor's Degree or equivalent work experience Required

• 4-6 years of product management or digital product experience, including ownership of products from discovery through launch and continuous improvement.

• REQUIRED QUALIFICATIONS

• 5+ years of product management or digital product experience, including ownership of products from discovery through launch and continuous improvement.

• Experience shipping conversational, AI-enabled, adaptive, or other intelligent digital products to real users.

• Strong product judgment and the ability to connect customer needs, business opportunities, technology capabilities, and evidence into clear product decisions.

• Demonstrated fluency using AI throughout the product lifecycle, including discovery, analysis, synthesis, prototyping, experimentation, and optimization.

• Hand

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