Product Director, AI & Agentic

About the role

As the Product Director for Agentic Experiences, you will be the single-threaded owner of our agentic experiences across customer, client, and colleague audiences. You will turn vision and strategy into an executable roadmap, then run the build, experimentation, and performance that bring these experiences to life. This role is for the senior operator who makes agents ship and improve—running discovery and delivery day-to-day, deeply engaged with tools and data, and leading a team of product managers who each own a space within the portfolio.

Responsibilities

• Own the agentic roadmap across customer, client, and colleague audiences, translating vision and strategy into clear priorities.
• Run discovery and delivery day-to-day, from problem definition through launch and continuous improvement.
• Make tradeoff decisions based on customer impact, business value, effort, risk, and learning potential.
• Balance near-term performance, foundational platform work, and next-generation agentic capabilities.
• Scope, build, and ship agents that handle thousands of conversations, improving them in production rather than leaving them static.
• Run the experimentation engine: deploy tests, simulate responses and outcomes, predict behavior, and enable agents to self-improve.
• Own how agent performance is measured—accuracy, resolution, revenue, and customer experience—and act on the data.
• Manage platform partners with clear standards for delivery and a tight working rhythm.
• Partner closely with Technology, Design, Analytics, Operations, Contact Center, Sales, and Client teams to deliver measurable outcomes.
• Bring clarity to ambiguous problems, frame key decisions, and keep teams moving when the path is still being defined.
• Lead, hire, and mentor a team of product managers, each owning a space within the agentic portfolio.
• Set the standard for AI fluency on the team, measured by what people build and learn, not by titles or credentials.
• Establish ways of working that allow the team to operate on the front edge of an emerging space while shipping real, tangible product.

Requirements

• 8+ years of product management or digital product experience, with meaningful time owning products from strategy through launch and continuous improvement, including leading product managers.
• Experience shipping conversational, AI-enabled, or agentic products in production, with real users and measurable outcomes.
• Demonstrated fluency using AI across the product lifecycle: strategy development, discovery, customer signal, analysis, and prototyping. Hands-on experience with tools like Claude, Claude Code, Claude Design, ChatGPT, Cursor, Lovable, and Granola.
• Fluency building and improving agents in production: designing evaluations, simulating and testing agent behavior, and using observability to identify and address failures.
• Hands-on use of digital analytics and performance platforms (e.g., Quantum Metric, Snowflake) to analyze funnel performance, conversion, appointment rate, and retention. You run your own analysis and form independent points of view from the data.
• Hands-on fluency with the platforms agentic experiences are built on: agent platforms, LLM orchestration, eval and observability tooling, retrieval and tool-use patterns, and voice/multimodal stacks. You make architecture and platform tradeoffs in partnership with engineering.
• Working understanding of agent integration architecture: APIs, webhooks, identity, consent, and how agents transact with other agents and systems.
• Strong written and verbal communication, with the ability to operate in ambiguity and bring structure to complex problems.

Qualifications

We are looking for a product leader who has built intelligent, conversational, or agentic experiences in production within a fast-moving, product-led organization. The shape of the work matters more than the company name on the resume. Ideal experience includes:

• Conversational and agentic product: You have shipped chatbots, virtual agents, or AI-driven experiences and understand what it takes to make them reliable when they hit friction.
• Product environments with real practice: Dedicated cross-functional teams, real discovery, instrumented experimentation, and outcome-based goals. You should be ready to help build this modern product practice at Safelite.
• Pace-setting product cultures: Experience in organizations that set the standard for how product gets built—fast cycles, tight feedback loops, and a default to shipping and learning.
• Experience leading both customer-facing and internal associate-facing AI experiences.
• Understanding of how agents transact with other agents and systems, and where interoperability is heading.
• Familiarity with modern experimentation practices for AI systems, including offline evals, online testing, and human-in-the-loop review.
• Experience managing platform partners or vendors who build alongside an internal team.

Skills

• Roadmap Ownership: Turns vision and strategy into an executable roadmap and clear priorities across audiences.
• Builder Fluency: Builds with AI tools directly, understands the technology well enough to co-create on it, and guides the team to do the same.
• Experimentation and Learning: Treats agents as systems to observe, test, simulate, and improve continuously.
• Business Acumen: Connects product decisions to revenue, conversion, satisfaction, and operational performance.
• People Leadership: Hires, leads, and mentors a team of product managers and sets the bar for how the team works.
• Cross-Functional Leadership: Aligns teams, influences stakeholders, and drives accountability without relying on authority.
• Execution Discipline: Moves from strategy to delivery while managing scope, tradeoffs, dependencies, and outcomes.