VP, AI Customer Delivery

Vendasta•Corman Park No. 344, SK

2d•Onsite

About The Position

The mission of the VP, AI Customer Delivery is to turn Vendasta’s AI product capabilities into highly repeatable, scalable customer outcomes across our partner network and SMB end clients. This role exists to eliminate deployment friction, accelerate time-to-value, and dramatically reduce customer churn caused by poor activation. Success requires world-class technical customer operations leadership, deep AI system fluency, cross-functional authority, and an owner mindset, enabling the delivery of standardized AI deployment playbooks, high-margin professional services, and automated cross-functional workflows.

Requirements

Proven ability to define a multi-year AI delivery vision, develop complex automation workflows, and establish an ethical rollout framework across high-volume environments
10+ years operating within SaaS, enterprise cloud, automation, or data platforms, showing rich mastery over APIs, integration architectures, and workflow configurations.
5+ years heading technical delivery, solutions architecture, professional services, or forward-deployed customer engineering teams.
A track record of collaborating closely with Product and Engineering leaders to build scalable systems out of bespoke processes.
Ability to communicate clearly and effectively in written and verbal formats.
Experience deploying software solutions through multi-location business models, channels, or high-volume SMB networks.
Background as a forward-deployed AI leader, top-tier transformation consultant, or highly technical Customer Operations executive.
Bachelor’s degree in Computer Science, Engineering, Business Operations, or a highly relevant equivalent field.

Responsibilities

Define standard deployment playbooks for AI employees and AI-powered workflows to achieve a scalable configuration model across large partners.
Reduce implementation cycle times and shorten the time-to-value window for complex partner and SMB installations.
Establish crisp handoff mechanics, entry/exit readiness criteria, quality assurance, and automated setup processes for all deployment pipelines.
Translate custom implementation learnings systematically back into Product and Engineering teams to transform custom services into productized features.
Coordinate and drive operating cadences across Vendasta Services, Professional Services, Customer Delivery, Project Management, and Technical Project Management.
Implement escalation governance and clear accountability interfaces matching Product, CS, Revenue, Finance, and RevOps.
Define the lines of demarcation between standard onboarding frameworks, high-margin paid custom services, and standard product roadmap handoffs.
Champion the "Think 10x" and "Build Trust" leadership principles by defining an ethical, secure, and hyper-scalable AI rollout vision company-wide.
Design and architect the organizational structure covering technical project management, applied AI deployment capabilities, solutions architecture, and support.
Hire, develop, and mentor leaders capable of operating at the intersection of technical AI deployment and commercial customer outcomes.
Manage professional services margins, resource capacity planning, and rigorous delivery standards across all regional teams.