
Product Manager, Agentic AI
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Take charge of the roadmap for Kinetic's agent orchestration layer, encompassing models and routing, tools and memory, observability, permissions, and guardrails.
• Manage the agent registry with clear documentation regarding ownership, purpose, autonomy tier, and behavior logging for each agent.
• Establish protocols for agent deployment, versioning, and rollback processes.
• Oversee management of prompts, tool definitions, and model versions as if they were code.
• Monitor usage, costs, and latency associated with each agent.
• Lead the initiative to clean up existing AI scripts and workflows by either retiring, replatforming, or sunsetting them.
• Ensure that business logic, specifications, and evaluation data are transferable across different frameworks and models.
• Collaborate with experience-team PMs to assess whether agents or simpler automation solutions should address business challenges.
• Convert use cases into agent specifications, detailing inputs, tools, autonomy boundaries, human escalation pathways, success metrics, and baselines.
• Author, test, and refine system prompts, tool descriptions, and structured outputs in partnership with agent and data engineers.
• Link each agent to a specific business metric prior to scaling efforts.
• Create golden datasets and execute regression suites whenever prompts, tools, or models undergo changes.
• Oversee rollout procedures from shadow mode to staged rollout and full production.
• Uphold the autonomy-tier policy and outline necessary human checkpoints.
• Generate architecture maps, evaluation histories, audit trails, and before-and-after metrics.
• Report directly to the VP of Product and collaborate with product managers across Broker, Policyholder, Underwriter, Claims, Data, and Business Systems teams.
• 5+ years of experience in Product Management, Technical Product Management, or a related field.
• At least 1 year of experience deploying LLM-powered or agentic products into production, beyond just demonstrations.
• Proficient in hands-on prompt engineering, including system prompts, tool definitions, multi-step chains, and structured outputs.
• Experience in constructing or conducting evaluations for LLM systems, such as creating golden datasets, LLM-as-judge graders, and regression testing.
• Familiarity with agent frameworks and platforms such as CrewAI, LangGraph, OpenAI Agents SDK, or AWS Bedrock AgentCore.
• Understanding of RAG, tool calling, and MCP.
• Capability to translate complex business requirements into clear specifications, user stories, and acceptance criteria.
• Background in startups or high-growth settings.
• Exceptional communication skills with the ability to articulate probabilistic systems to business leaders.
• Candidates must reside within the United States.
• Must have existing authorization to work in the United States.
• Verification of government-issued identity and employment eligibility will be required prior to employment.
• Previous experience in an insurtech, MGA, carrier, or another regulated sector such as financial services or healthcare is advantageous.
• Knowledge of workers' compensation, commercial lines underwriting, or claims workflows is a plus.
• Familiarity with AI governance frameworks is beneficial.
• Experience in multi-model routing, cost optimization, or human-in-the-loop design for agents is a plus.
• Fully distributed, remote team operating across all continental US time zones.
• Comprehensive medical, dental, and vision insurance coverage.
• 20 vacation days each year.
• 9 federal holidays off.
• Parental Leave.
• Pre-tax 401k contribution options.
• HSA with compatible health plans.
• FREE: Health Advocate services.
• FREE: Telehealth Membership.
• FREE: OneMedical Account.
• Domestic travel for company offsites and team alignment.
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