AI-Enabled Digital Product Manager

RSM US LLP

Minneapolis (MN)

Hybrid

USD 111,000 - 190,000

Full time

4 days ago

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Job summary

RSM US LLP is seeking a Digital Product Manager/Owner to lead AI-enabled digital products for Consulting professionals and clients. You will define vision, roadmaps, and measurable business value while leveraging agentic AI tools like Copilot, ChatGPT, and Claude.

This role requires hands-on product leadership and collaboration with engineering to deliver releases and adoption strategies. The ideal candidate demonstrates proficiency with MCP-enabled integrations, prototyping, and automation to

Qualifications

5+ years of experience in a Product Manager, Product Owner, AI product, digital product, or similar role.
Required AI fluency: Mid-to-advanced, hands-on proficiency with agentic AI tools such as Microsoft Copilot, ChatGPT, or Claude.

Responsibilities

Own and maintain the product backlog, including epics, features, user stories, acceptance criteria, prioritization, and backlog health.
Own product vision, strategy, roadmap, lifecycle decisions, and prioritization for assigned products.
Accountable for adoption outcomes; partner with Change Management to execute training, communications, readiness, launch, and hypercare plans.
Apply mid-to-advanced proficiency with AI tools, agentic workflows, and MCP-enabled integrations to build repeatable product workflows; develop and refine requirements; create prototypes and proofs of concept; analyze backlogs and complex information; automate routine product tasks; synthesize stakeholder input; and accelerate sound product decisions and delivery.
Identify opportunities to embed AI, automation, knowledge retrieval, and agentic experiences into assigned products where they improve user outcomes, delivery efficiency, or measurable business value.
Partner with engineering and platform teams to identify where MCP servers, tools, and connectors can securely expose enterprise systems, product data, documents, workflows, or operational context to AI agents.
Rapidly prototype product concepts, workflows, prompts, wireframes, or proof-of-concept experiences to validate assumptions before committing engineering capacity.
Prepare Product Council recommendations for investment, scaling, sustainment, and retirement decisions.
Make day-to-day product prioritization and backlog tradeoff decisions within approved roadmap, funding, risk, and capacity guardrails.