Associate Product Manager

Granicus

AI Product Manager focused on developing AI products for Revenue Operations at Granicus. Collaborating with cross-functional teams to enhance efficiency and productivity through AI solutions.

Posted 6/11/2026full-timeRemote • District of Columbia, Washington • 🇺🇸 United StatesJuniorMid-Level💰 $89,000 - $110,000 per yearWebsite

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Flexible Time Off – Take the time you need to rest, recharge, and live your life.
Company-Wide Wellbeing Days – Paid days off to unplug and focus on your mental health.
Work From Home Reimbursement – Support a productive home office environment.
Multiple Health Plan Options – Including a 100% employer-paid plan.
Employer HSA Contributions – When enrolled in a High-Deductible Health Plan.
Fitness Reimbursement Program – Stay active, your way.
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 – Fuel your professional development.
Competitive Salary & Bonuses – Your contributions are valued and rewarded.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI productsdata-driven productspredictive modelsrecommendation enginesNLPworkflow automationagile product developmentScrumLeanquantitative analysis

Soft Skills

organizational skillscommunication skillsintellectual curiositycollaborationproblem-solvingadaptabilitystakeholder managementprioritizationanalytical thinkinguser-experience mindset

Certifications

BA/BS in BusinessBA/BS in Computer ScienceBA/BS in EngineeringBA/BS in Data Science