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AI Product Manager

Job in Lakeville, Dakota County, Minnesota, 55044, USA
Listing for: Granicus
Full Time position
Listed on 2026-09-26
Job specializations:
  • Business
    AI Business & Operations, Business Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 89000 - 110000 USD Yearly USD 89000.00 110000.00 YEAR
Job Description & How to Apply Below

AI Product Manager Location

US-Remote

Category

Program & Project Management

Position Type

Full-Time

Employee Type

Regular

Location Type

Remote

The Company

Serving the People Who Serve the People

Granicus is driven by the excitement of building, implementing, and maintaining technology that is transforming the Govtech industry by bringing governments and its constituents together. We are on a mission to support our customers with meeting the needs of their communities and implementing our technology in ways that are equitable and inclusive. Granicus has consistently appeared on the Gov Tech 100 list over the past 5 years and has been recognized as the best companies to work on Built In.

Over the last 25 years, we have served 5,500 federal, state, and local government agencies and more than 300 million citizen subscribers power an unmatched Subscriber Network that use our digital solutions to make the world a better place. With comprehensive cloud-based solutions for communications, government website design, meeting and agenda management software, records management, and digital services, Granicus empowers stronger relationships between government and residents across the U.S., U.K., Australia, New Zealand, and Canada.

By simplifying interactions with residents, while disseminating critical information, Granicus brings governments closer to the people they serve-driving meaningful change for communities around the globe.

Want to know more? See more of what we do here.

Job Summary

Granicus is seeking a self starting AI Product Manager to help build and scale internal AI capabilities that power our Revenue Operations function. No company in the world reaches more people on behalf of public sector organizations than Granicus—this role will focus on developing the AI products, platforms, and workflows that enable our revenue teams to operate smarter, faster, and with greater confidence.

You are a creative, data driven problem solver who can assess complex Rev Ops, Sales, and Goto Market needs and translate them into practical, scalable AIdriven solutions. You will work in a highly dynamic environment where rapid learning, experimentation, and measurable impact are expected.

Partnering closely with Rev Ops leaders, Product Managers, Engineers, Data Analysts, and cross functional stakeholders, you will define and prioritize the Rev Ops AI roadmap, align teams around the highest value initiatives, and drive outcomes such as productivity gains, forecast accuracy, deal quality, process automation, and improved seller experience.

The ideal candidate is curious, collaborative, and comfortable operating at the intersection of business operations, data, and AI. You excel at combining qualitative insight and quantitative analysis to make informed tradeoffs and continuously improve how revenue teams leverage AI in their daily work.

What Your Impact Will Look Like
  • Define and execute actionable plans to improve the health, usability, and effectiveness of internal AI products supporting Revenue Operations, including sales execution, forecasting, deal governance, proposals, and enablement workflows.
  • Own prioritization of AI capabilities, enhancements, and experiments‑setting clear scope, sequencing, and delivery timelines aligned to Rev Ops objectives and capacity.
  • Leverage data driven insight to determine what to build, when to deliver, and how to rightsize AI solutions, balancing business value, data readiness, and technical complexity.
  • Communicate priorities, tradeoffs, and progress clearly to Rev Ops and senior leadership, ensuring alignment on outcomes, risks, and expected value.
  • Apply a strong product and user experience mindset to internal AI tools, ensuring solutions drive high adoption, trust, quality, and productivity…
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