
Vice President, AI Product β Deployment
Posted 8 hours ago

Posted 8 hours ago
This is a fully remote position, open to applicants in United States.
β’ Develop and manage a cohesive AI product ecosystem across GXA, GXI, and GXC.
β’ Convert customer requirements, deployment insights, and market signals into distinct product priorities.
β’ Create a comprehensive multi-year roadmap based on actual usage and adoption metrics.
β’ Formulate business cases for investments to align with market narratives and commitments to customers.
β’ Collaborate with Engineering and Data Science teams to provide scalable, production-ready AI solutions.
β’ Act as the principal AI product representative to executive leadership, the board, private equity sponsors, and potential buyers.
β’ Establish pricing, packaging, and tiering frameworks for GXA, GXI, and GXC.
β’ Guide the shift from conventional licensing to consumption- and outcomes-oriented pricing models.
β’ Partner with Product Marketing to define positioning, differentiation, and go-to-market strategies.
β’ Work alongside Finance and Revenue leadership to develop ARR and margin models.
β’ Utilize deployment data to confirm willingness to pay and value outcomes across various segments.
β’ Coordinate alignment among Product, Engineering, Agent Factory, GTM, Sales Engineering, and Customer Experience teams.
β’ Function as the central connector of AI strategy and execution throughout the organization.
β’ Create a closed-loop system linking build (Agent Factory) β deploy (FDE) β standardize (Product) β scale (GTM).
β’ Instrument data on deployment, usage, and outcomes to guide roadmap and pricing strategies.
β’ Own metrics related to AI success, encompassing adoption, time-to-value, utilization, ROI, and expansion ARR.
β’ Implement safeguards to avoid inappropriate discounting of AI capabilities.
β’ Serve as the ultimate decision-maker on what qualifies as a product versus a custom deployment.
β’ Over 15 years of experience in product and/or engineering leadership within enterprise SaaS, data platforms, or GovTech.
β’ Master of Business Administration (MBA) is highly preferred.
β’ Demonstrated experience in both product strategy ownership and real-world technical deployment.
β’ Proven track record in establishing pricing and packaging for AI or platform products, including consumption or outcomes-based models.
β’ Experience in building and scaling cross-functional teams across Product, Engineering, and GTM.
β’ Background in high-growth or private equity-backed environments.
β’ Strong preference for expertise in the public sector or GovTech domain.
β’ Flexible Time Off β Take the time you need to rest, recharge, and live your life.
β’ Company-Wide Wellbeing Days β Paid days off to unplug and focus on your mental health.
β’ Work From Home Reimbursement β Support a productive home office environment.
β’ Multiple Health Plan Options β Including a 100% employer-paid plan.
β’ Employer HSA Contributions β When enrolled in a High-Deductible Health Plan.
β’ Fitness Reimbursement Program β Stay active, your way.
β’ On-Demand Mental Health Support β Access to Headspace and other wellness tools.
β’ Paid Parental Leave β For both birthing and non-birthing parents.
β’ Traditional & Roth 401(k) β With a generous company match.
β’ Life & AD&D Insurance β 100% employer-paid coverage for peace of mind.
β’ Online Learning Platforms β Fuel your professional development.
β’ Competitive Salary & Bonuses β Your contributions are valued and rewarded.
FutureSight
Tribe AI
AAPC
Gartner
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