Granicus

Director, Pricing & Packaging

Remote, US$140,000-$210,000Posted 24 days ago

Job Description

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 GovTech 100 list over the past 5 years and has been recognized as the best companies to work on BuiltIn.

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 looking for a high-impact pricing and packaging leader who can drive step-change improvements in monetization, responsible for owning and evolving pricing, packaging, and monetization models across the Granicus product portfolio. This role operates at the intersection of Product, Sales, and Finance, with direct exposure to executive leadership and the opportunity to shape how Granicus monetizes its products, particularly as we expand into AI-driven offerings. The candidate will be expected to combine data, market insight, and strong judgment to make high-conviction pricing decisions in ambiguous e

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