AI Product Manager

Granicus is seeking an AI Product Manager to build and scale internal AI products, platforms, and workflows for its Revenue Operations function. The role defines and prioritizes the RevOps AI roadmap, partners with cross-functional teams to deliver initiatives, and measures and improves their adoption and business impact.

Responsibilities

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 RevOps objectives and capacity

Leverage data‑driven insight to determine *what* to build, *when* to deliver, and *how* to right‑size AI solutions, balancing business value, data readiness, and technical complexity

Communicate priorities, tradeoffs, and progress clearly to RevOps 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 across revenue teams

Develop deep subject‑matter expertise in targeted RevOps domains (e.g., forecasting, deal inspection, RFPs, proposals, sales workflows) through stakeholder discovery, workflow analysis, usage data, and performance outcomes

Build alignment and momentum with engineers, data teams, product leaders, and RevOps stakeholders to move prioritized AI initiatives from concept through production and sustained use

Define, track, and report the metrics that determine success of AI initiatives, including adoption, accuracy, time saved, process efficiency, deal quality, and revenue impact

Monitor post‑release performance of AI services and enhancements, assessing usage, effectiveness, and downstream business impact, and iterate based on findings

Act as the internal voice of RevOps users by continuously incorporating feedback from Sales, Enablement, Proposal, and Operations teams into roadmap decisions and solution improvements

Responsible for Granicus information security by appropriately preserving the Confidentiality, Integrity, and Availability (CIA) of Granicus information assets in accordance with the company's information security program

Responsible for ensuring the data privacy of our employees and customers, their data, as well as taking all required privacy training in a timely manner, in accordance with company policies

Benefits

Flexible Time Off

Company-Wide Wellbeing Days – Paid days off to unplug and focus on your mental health.

Work From Home Reimbursement

Multiple Health Plan Options – Including a 100% employer-paid plan.

Employer HSA Contributions – When enrolled in a High-Deductible Health Plan.

Fitness Reimbursement Program

On-Demand Mental Health Support – Access to Headspace and other wellness tools.

Paid Parental Leave – For both birthing and non-birthing parents.

Traditional & Roth 401(k) – With a generous company match.

Life & AD&D Insurance – 100% employer-paid coverage for peace of mind.

Online Learning Platforms

Bonuses

Company

Citizen experience platform for government communications and engagement

Denver, Colorado, USA

http://www.granicus.com/

Founded in 1999

1001-5000 employees

Qualifications

A BA/BS in Business, Computer Science, Engineering, Data Science, or a related field—or equivalent experience delivering AI‑enabled or data‑driven products in an operational environment

A passion for building high‑quality internal AI products and platforms in fast‑moving, ambiguous environments where priorities, inputs, and constraints evolve rapidly

Hands‑on experience working with or alongside AI/ML systems, such as predictive models, recommendation engines, NLP/LLM‑based solutions, workflow automation, or AI agents—focused on applied business impact rather than pure research

Familiarity with modern AI product concepts, including model limitations, data quality and labeling, prompt design, evaluation metrics, human‑in‑the‑loop workflows, and responsible AI considerations

Working knowledge of agile product development practices (Scrum, Lean), with an emphasis on iterative delivery, experimentation, and continuous learning—especially in AI‑driven environments

Strong intellectual curiosity that drives you to ask sharp questions, pressure‑test assumptions, and use data to identify and prioritize the highest‑impact RevOps opportunities for AI

Excellent organizational and quantitative analytical skills, with the ability to translate complex workflows, data signals, and AI outputs into clear product direction and actionable plans

Sufficient technical depth to collaborate effectively with engineers and data teams, understand tradeoffs between model performance, cost, latency, and scalability, and earn trust through informed decision‑making

The ability to break down complex AI initiatives into manageable, well‑sequenced increments that deliver user and business value quickly and safely

Strong communication skills, with the ability to tailor messages for technical teams, RevOps stakeholders, and senior leaders—clearly explaining value, risk, limitations, and expected outcomes of AI solutions

Required skills

AI Product Management, AI/ML Systems, Natural Language Processing and LLMs, Predictive Modeling, Recommendation Engines, Workflow Automation, AI Agents, Prompt Design, AI Evaluation Metrics, Responsible AI, Agile Product Development Scrum, Agile Product Development Lean, Revenue Operations (RevOps)

Experience

Mid level