AI Product Owner

TechDigital Group; Louisville (KY); On-site; USD 90,000 - 120,000; Full time

Job summary

TechDigital Group in Louisville, KY is seeking a Product Owner/Manager to define the vision and strategy for agentic AI products. You will own the roadmap and ensure alignment with business goals.

Lead backlog grooming, specify acceptance criteria, and shape agent behaviors while balancing autonomy and human oversight; collaborate across engineering, UX, and governance. Experience in healthcare product lifecycles and familiarity with Trizetto products will help navigate regulatory requirements

Qualifications

• Proven Product Owner/Manager experience in AI/ML or automation products.
• Experience with healthcare product lifecycle management.
• Familiarity with Trizetto products.

Responsibilities

• Define and own product vision, strategy, and roadmap for agentic AI solutions.
• Own and prioritize backlog; translate requirements into clear user stories and acceptance criteria.
• Collaborate with AI/ML teams, UX, and data governance to ensure usability and compliance.
• Define guardrails, KPIs, and go-to-market plans; monitor performance and lead iterations.

Skills

Product Owner/Manager

AI/ML automation products

Healthcare product lifecycle mgmt

Job description

Product Strategy & Vision

• Define and own the product vision, strategy, and roadmap for agentic AI solutions aligned with business objectives.
• Identify high-value use cases where autonomous agents can drive efficiency, automation, or new capabilities.
• Evaluate build‑vs‑buy decisions across agentic AI frameworks (LangChain, LangGraph, AutoGen, CrewAI) and LLM providers.
• Stay current on the evolving agentic AI landscape and translate emerging capabilities into product opportunities.

Backlog & Requirements Management

• Own and prioritize the product backlog, translating business requirements into clear user stories and acceptance criteria for engineering teams.
• Define agent behaviors, decision boundaries, and success criteria (task completion rates, accuracy, latency, cost per task).
• Specify requirements for agent memory, tool access, multi‑agent orchestration, and human‑in‑the‑loop checkpoints.
• Balance autonomy vs. control—determining where agents should act independently versus escalating to humans.

Cross‑Functional Collaboration

• Act as the primary liaison between business stakeholders, AI/ML engineering teams, UX designers, and data governance/compliance teams.
• Partner with engineering to scope technical feasibility, effort estimation, and architecture trade‑offs for agentic workflows.
• Work with data science/ML teams to define evaluation frameworks for hallucination rates, task success, and agent reliability.
• Collaborate with design teams on human‑agent interaction patterns and interfaces (chat, dashboards, approval workflows).

Governance, Risk & Compliance

• Define guardrails, escalation paths, and fallback mechanisms for agent failures or edge cases.
• Ensure agentic systems meet responsible AI standards: transparency, auditability, bias mitigation, and data privacy.
• Partner with legal/compliance teams on risk assessment for autonomous decision‑making systems.
• Establish monitoring and audit trails for agent actions, especially in regulated domains.

Launch & Performance Management

• Drive go‑to‑market planning, pilot programs, and phased rollouts of agentic AI features.
• Define and track KPIs/OKRs: task automation rate, agent accuracy, cost savings, user adoption, time‑to‑resolution.
• Analyze production agent performance data to identify improvement opportunities and prioritize iterations.
• Manage stakeholder communication, demos, and executive reporting on agentic AI product progress.

Agile Delivery

• Run sprint planning, backlog grooming, and stakeholder demos in an Agile/Scrum environment.
• Prioritize technical debt, model updates, and framework migrations alongside feature development.
• Manage dependencies across multiple agent workstreams and cross‑functional teams.

Required Skills

• Health Care Products, Consumer care product development, Dx Product Lifecycle Management.
• Proven experience as a Product Owner/Product Manager, ideally on AI/ML or automation products.
• Experience with Trizetto products.