Vice President, AI Product & Deployment

Granicus•Remote,

1d•$200,000 - $250,000•Remote

About The Position

The VP, AI Product & Deployment is responsible for building and operating the system that turns AI capabilities into repeatable, scalable, revenue-generating products across the Government Experience platform. This role unifies product strategy, real-world deployment, and commercialization into a single operating model—ensuring that Granicus AI initiatives are grounded in customer reality and deliver measurable outcomes. Unlike traditional product leadership roles, this position is accountable for what gets built, what works in the field, and what successfully scales across the customer base. Ownership spans the full lifecycle of AI products across the Government Experience Agent (GXA), Government Experience Insights (GXI), and Government Experience Cloud (GXC), operating at the intersection of Product, Engineering, Go-To-Market, and Customer Experience. Granicus operates at a scale few companies can match serving thousands of government organizations and hundreds of millions of constituents across the US, UK, Australia, and beyond. This role defines how AI transforms the platform from a collection of applications into a true operating system for government experience where data, workflows, and agents work together to deliver measurable outcomes for the public. This is a high-visibility, high-impact role at a pivotal moment in the company’s trajectory.

Requirements

Deep understanding of AI/ML systems, agentic architectures, and data platforms
Strong product judgment informed by real-world deployment and customer outcomes
Ability to operate fluently across technical, commercial, and government audiences
Proven capability to lead cross-functional teams and complex initiatives at scale
Strong commercial acumen, including pricing strategy and revenue modeling
Executive presence with the ability to influence senior leadership and stakeholders
Ability to balance speed with operational discipline and accountability
15+ years of product and/or engineering leadership experience in enterprise SaaS, data platforms, or GovTech
Proven experience owning both product strategy and real-world technical deployment
Experience defining pricing and packaging for AI or platform products, including consumption or outcomes-based models
Track record of building and scaling cross-functional teams across Product, Engineering, and GTM
Experience operating in high-growth or private equity-backed environments

Nice To Haves

Master of Business Administration (MBA) (strongly preferred)
Public sector or GovTech domain expertise strongly preferred

Responsibilities

Define and operate a unified AI product system across GXA, GXI, and GXC
Translate customer needs, deployment learnings, and market signals into clear product priorities
Drive a multi-year roadmap grounded in real-world usage and adoption
Build business cases for investment to meet market narrative and promises to customers
Partner with Engineering and Data Science to deliver scalable, production-ready AI capabilities
Serve as the primary AI product voice to executive leadership, the board, PE sponsors, and potential acquirers
Define pricing, packaging, and tiering models for GXA, GXI, and GXC
Lead the transition from traditional licensing to consumption- and outcomes-based pricing
Partner with Product Marketing on positioning, differentiation, and GTM narrative
Collaborate with Finance and Revenue leadership on ARR and margin modelling
Use deployment data to validate willingness-to-pay and outcome value across segments
Align Product, Engineering, Agent Factory, GTM, Sales Engineering, and Customer Experience
Act as the central integrator of AI strategy and execution across the company
Represent AI product and deployment strategy internally and externally
Build a closed-loop system connecting build (Agent Factory) → deploy (FDE) → standardize (Product) → scale (GTM)
Instrument deployment, usage, and outcome data to inform roadmap and pricing decisions
Own AI success metrics including adoption, time-to-value, utilization, ROI, and expansion ARR
Establish guardrails to prevent inappropriate discounting of AI capabilities
Serve as final authority on what becomes a product versus bespoke deployment
Convert successful deployments into supported, commercially packaged offerings
Prevent fragmentation by enforcing clear productization criteria
Help shape and scale a forward‑deployed engineering (FDE) function, informed by best‑in‑class industry models
Partner with teams to bring AI solutions into complex government environments, particularly within strategic accounts
Serve as a key input and validation partner for AI product decisions through applied, in‑field experience
Advise on and influence the allocation approach for when and how FDE resources are deployed
Define standards, playbooks, and reference architectures for AI deployment across agencies
Reduce time-to-value and increase repeatability across implementations
Create reusable deployment patterns across priority domains, including: Web CMS and Service Requests, Communications and Engagement, Permitting, Licensing, and Compliance, Records Requests and Transparency, Agenda and Meeting Management