- 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.
- 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.
- 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.
- 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
Skills Required
- 5+ years of experience in Product Management, Technical Product Management, or a similar role
- 1+ year shipping LLM-powered or agentic products into production
- Hands-on prompt engineering experience with system prompts, tool definitions, multi-step chains, and structured outputs
- Experience building or running evaluations for LLM systems, including golden datasets, LLM-as-judge graders, or regression testing
- Working knowledge of agent frameworks or platforms such as CrewAI, LangGraph, OpenAI Agents SDK, or AWS Bedrock AgentCore
- Working knowledge of RAG, tool calling, and MCP
- Ability to translate business needs into requirements, user stories, and acceptance criteria
- Experience working in startups or high-growth environments
- Excellent communication skills, including explaining probabilistic systems to business leaders
- Experience in insurtech, an MGA, a carrier, financial services, healthcare, or another regulated industry
- 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 agent design
- Residence within the United States and existing authorization to work in the United States
What We Do
At Kinetic, our mission is bold: to create the best workers’ compensation experience. We’re a tech-first Managing General Agent (MGA) specializing in workers’ compensation for mid-market and large employers in safety-critical industries like parcel delivery, logistics, manufacturing, and warehousing. Our AI-driven tools and expert human support help policyholders take action from the moment an injury is reported through claim closure—improving outcomes, reducing friction, and controlling costs. Brokers and policyholders receive dedicated support from our policyholder success, claims, and loss control teams. Backed by Nationwide. Industry specialized. Built to deliver better claims outcomes—and a better workers’ comp experience. ? Kinetic has been named to Business Insurance’s Best Places to Work in Insurance 2025








