Product Manager, Agentic AI

KINETIC; New York (NY); Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Fully distributed remote team across U

Medical, dental, and vision insurance

20 vacation days per year

9 federal holidays off

Parental Leave

Pre-tax 401k contribution

HSA with compatible health plans

Health Advocate

Telehealth Membership

OneMedical Account

Job summary

Kinetic, a remote-first company headquartered in New York City, is hiring a Product Manager to lead agentic AI efforts across the insurance lifecycle. You will own the agent platform, define what gets built, evaluate impact, and ensure every agent ships as part of a coherent platform.

This role leans technical, with prompt engineering, evaluation design, and collaboration with experience PMs. You won’t ship production code, but your judgments will shape tooling, governance, and business metrics

Qualifications

• 5+ years in Product Management, Technical Product Management, or a similar role.
• 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.
• Working knowledge of agent frameworks and platforms such as CrewAI, LangGraph, OpenAI Agents SDK, or AWS Bedrock AgentCore, along with RAG, tool calling, and MCP.
• Demonstrated ability to convert messy business needs into requirements, user stories, and acceptance criteria.
• Experience in startups or high-growth environments.
• Excellent communication skills, with the ability to explain probabilistic systems to business leaders.

Responsibilities

• 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.
• 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.
• 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.

Skills

Product management

Technical PM

Prompt engineering

LLM products

Communication skills

Startup experience

Tools

CrewAI

LangGraph

OpenAI Agents SDK

AWS Bedrock AgentCore

RAG

Tool calling

MCP

Job description

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 Do

Agent 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.
• Working knowledge of agent frameworks and platforms such as CrewAI, LangGraph, OpenAI Agents SDK, or AWS Bedrock AgentCore, along with RAG, tool calling, and MCP.
• Demonstrated ability to convert messy business needs into requirements, user stories, and acceptance criteria.
• Experience in startups or high‑growth environments. You're comfortable building from scratch.
• Excellent communication skills, with the ability to explain probabilistic systems to business leaders.

Big plus if

• Prior experience at an insurtech, MGA, or carrier, or in another regulated industry such as financial services or healthcare.
• Familiarity with workers' compensation, commercial lines underwriting, or claims workflows.
• Experience with AI governance frameworks.
• Experience with multi‑model routing, cost optimization, or human‑in‑the‑loop design for agents.

What We Offer

• Fully distributed, remote team across all continental US time zones
• Medical, dental, and vision insurance
• 20 vacation days per year
• 9 federal holidays off
• Parental Leave
• Pre‑tax 401k contribution
• HSA with compatible health plans
• FREE: Health Advocate
• FREE: Telehealth Membership
• FREE: OneMedical Account

Note

Candidates must reside within the US with existing authorization to work in the United States. This role requires domestic travel for company offsites and team alignment. Verification of government‑issued identity and employment eligibility will be conducted in person prior to employment.

Security Notice: Kinetic is committed to a secure hiring process. All offers of employment are contingent upon successful completion of a comprehensive identity and background verification process. We will never ask for financial information or payment during the application process.