Senior Product Manager - Agentic AI experiences

TriNet•Atlanta, GA

1d•$89,600 - $168,000•Onsite

About The Position

We are looking for a Senior AI Product Manager to lead the strategy, development, and delivery of Agentic AI experiences across HR domains such as Payroll, Benefits, Workforce Management, HR Operations, and Compliance. In this role, you will identify high-impact opportunities, define AI product capabilities, and partner cross-functionally to deliver intelligent, scalable, and trusted customer experiences. This is a highly strategic and execution-oriented role for someone who is passionate about applying AI to solve real customer problems, improve operational efficiency, and drive measurable business outcomes.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience (preferred).
5+ years of direct product management experience, with 2+ years of experience building AI solutions
Experience owning products from strategy through launch in a cross-functional environment.
Experience with AI-powered products, conversational experiences, or intelligent systems is required.
Strong analytical and problem-solving skills with a data-driven approach to decision making.
Excellent communication and stakeholder management skills across technical and non-technical teams.

Nice To Haves

Experience in enterprise SaaS, HR technology, workflow automation, or customer-facing platforms preferred.
Familiarity with HR domains such as Payroll, Benefits, WFM, HR Operations, or Compliance is a plus.
Passion for building trustworthy, useful, and impactful AI experiences.

Responsibilities

Defines the strategy, roadmap, and owns execution of AI-powered product capabilities across HR domains such as Payroll, Benefits, Workforce Management, HR Operations, and Compliance.
Identify and prioritize high-value AI use cases based on data insights, customer needs, operational pain points, business impact, and technical feasibility.
Define product requirements for agentic experiences, including intent framing, user workflows, prompts, guardrails, data needs, and success metrics.
Define foundational AI platform capabilities such as prompt management, prompt chaining, context awareness, agent-to-agent orchestration, MCP server and knowledge/data pipelines.
Define evaluation frameworks and success criteria to measure AI behavior, accuracy, and overall product effectiveness.
Balance cost, quality, and latency tradeoffs to deliver performant, reliable, and scalable AI experiences.
Partner cross-functionally with domain product managers, engineering, data, UX, knowledge management, legal, and go-to-market teams to deliver scalable, compliant, and customer-centric AI experiences.
Drive end-to-end product delivery from discovery and design through launch, measurement, and continuous improvement.
Monitor product performance and business outcomes, using insights to optimize AI experiences, improve adoption, and inform roadmap decisions.