Product Director, AI & Agentic

Safelite

About The Position

We are building the next generation of how customers, clients, and colleagues interact with Safelite. Agentic AI is at the center of it. The Product Director, Agentic Experiences is 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, the experimentation, and the performance that make these experiences real. This is the senior operator who makes the agents ship and improve. You run discovery and delivery day to day, you are deep in the tools and the data, and you lead a team of product managers who each own a space. You bring structure to ambiguous work and keep a portfolio of agentic experiences moving across audiences and channels.

Requirements

8+ years of product management or digital product experience, with meaningful time owning products from strategy through launch and continuous improvement, and experience leading product managers.
Experience shipping conversational, AI-enabled, or agentic product in production, with real users and measurable outcomes.
Demonstrated fluency using AI across the product lifecycle: strategy development, discovery, customer signal, analysis, and prototyping. Fluent 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 find where agents fail and improve them.
Hands-on use of digital analytics and performance platforms (Quantum Metric, Snowflake, or similar) to read funnel performance, conversion, appointment rate, and retention. You run your own analysis and form your own point of view from the data.
Hands-on fluency with the platforms agentic experiences are built on: agent platforms and LLM orchestration, eval and observability tooling, retrieval and tool-use patterns, and voice and 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. Ability to operate in ambiguity and bring structure to complex problems.

Nice To Haves

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.
Product environments where you have seen real practice work. Dedicated cross-functional teams, real discovery, instrumented experimentation, and outcome-based goals. We are early in standing up a modern product practice at Safelite, so you should be up for helping us build it here, and have done some of that work before.
Pace-setting product cultures. You have worked inside organizations that set the standard for how product gets built. Fast cycles, tight feedback loops, and a default to shipping and learning.
Strong fits include conversational AI and customer engagement platforms, companies that built early chatbot or virtual agent products and have moved into agentic systems, applied AI teams inside operating businesses, and product organizations known for shipping at pace.

Responsibilities

Own the agentic roadmap across customer, client, and colleague
Translate vision and strategy into an executable roadmap and clear priorities across all three audiences.
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 the next generation of agentic capability.
Scope, build, and ship agents that handle thousands of customer, client, and colleague conversations, and improve them in production rather than shipping and leaving them.
Run the experimentation engine: deploy tests, simulate responses and outcomes, predict behavior, and find opportunities for agents to self-improve.
Own how agent performance is measured, from accuracy and resolution to revenue and customer experience, and act on what the data shows.
Hold an accurate view of current capability at all times, and represent it accurately in every forum.
Manage the platform partners who build alongside us, 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 the decisions that matter, 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 the ways of working that let a team operate on the front edge of an emerging space and still ship real, tangible product.