Product Manager, Agentic AI

Product Manager, Agentic AI

Remote

Product

Remote

Full-time

At Kinetic, a single, powerful mission unites us: Creating the best Workers’ Comp experience. Our culture is the engine that drives this mission forward—a culture built on togetherness, excellence, accountability, and a deep commitment to our customers.

About Kinetic

We’re transforming workers’ comp with technology-driven solutions for injury prediction, prevention, and management—helping employers create safer, healthier workplaces.

Our platform is built for labor intensive industries including parcel delivery, manufacturing, and wholesale/warehousing operations. Our tech-driven program speeds up return-to-work and offers generative AI for claims management. Through these and other products and services, we're redefining what workers' comp can do.

We’re a remote-first team headquartered in New York City, growing fast—10x in the past two years—and driven by accountability, continuous improvement, and collaboration. If you're excited to build a career with impact, we’d love to meet you.

Kinetic has been named to: Business Insurance's Best Place to Work in Insurance 2025 & 2026.

#### **About the role

Kinetic Insurance is building AI agents across the insurance lifecycle. We are seeking a Product Manager to lead our Agentic AI efforts. This role makes sure every agent Kinetic ships is a component of one coherent platform rather than a one-off automation. You'll decide what gets built as an agent, how it's evaluated, how much autonomy it earns, and how we prove it moved a real business metric.

The role has two tracks. You'll own the agent platform outright: orchestration, tooling, observability, and guardrails. You'll co-own agent solutions with our experience team PMs, who bring the customer problem while you bring the judgment on whether and how an agent should solve it. This role leans more technical than business, though it is not an engineering role. You'll write and test prompts, build evaluation sets, read traces, and prototype ideas. You won't ship production code, but you won't need an engineer to test whether an idea works.

You'll report to the VP of Product and sit on the product management team, working alongside the PMs who lead our Broker, Policyholder, Underwriter, Claims, Data, and Business Systems teams.

#### What you'll doAgent platform and orchestration (owned outright)**

• •Own the roadmap for Kinetic's agent orchestration layer: models and routing, tools and memory, observability, and permissions and guardrails.
• •Run the agent registry. Every agent has exactly one owner, one documented purpose, one autonomy tier, and one place its behavior is logged.
• •Define how agents are deployed, versioned, and rolled back, with prompts, tool definitions, and model versions managed like code.
• •Track usage, cost, and latency per agent. Cost per orchestration matters more than cost per token, and you'll know both.
• •Lead the cleanup of the agents we already have: inventory every script and workflow touching AI, then retire, replatform, or sunset each one.
• •Keep business logic, specs, and evaluation data portable so a future framework or model change is an engineering project, not a rewrite.

Agent solutions with experience teams (co-owned)

• •Partner with PMs to define the problem or opportunity, and make the call on whether an agent is the right tool or simpler automation will do.
• •Translate use cases into agent specs: inputs, tools, autonomy boundary, human escalation path, success metric, and baseline.
• •Write, test, and iterate on system prompts, tool descriptions, and structured outputs side by side with agent and data engineers.
• •Tie every agent to one business metric before it scales, such as time-to-quote, bind rate, override rate, or hours saved.

Evaluation, governance, and quality

• •Build golden datasets with our data team for every agent, and run them as a regression suite whenever a prompt, tool, or model changes.
• •Own the rollout gates from shadow mode to staged rollout to full production, with each go/no-go decided by evaluation thresholds rather than a calendar date.
• •Write and maintain Kinetic's autonomy-tier policy, including which decisions always keep a human checkpoint, such as a decline, a denial, a bind, or a price.
• •Produce the artifacts a regulator or acquirer will ask for as a byproduct of good practice: architecture map, evaluation history, audit trail, and before-and-after metrics.

#### **What you've done

• •5+ years in Product Management, Technical Product Management, or a similar role, including 1+ years shipping LLM-powered or agentic products into production, not just demos.
• •Hands-on prompt engineering: system prompts, tool definitions, multi-step chains, and structured outputs.
• •Built or ran evaluation for LLM systems, such as golden datasets, LLM-as-judge graders, and regression testing.
• •W