Program Manager, AI Transformation (Customer Success)

Vanta

23h•Remote

About The Position

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Program Manager, AI Transformation at Vanta, you will design, operationalize, and scale AI-powered workflows across the customer lifecycle. Your work will directly transform how post-sales teams deliver better onboarding, adoption, risk management, and renewal outcomes for customers by leveraging AI. The Digital Customer Success team designs and delivers high-impact, programmatic experiences that help customers realize value faster and more consistently, while scaling how Customer Success operates through automation and intelligent workflows. This role operationalizes the Digital CS mission by scoping post-sales needs, driving the AI roadmap, and program-managing the rollout of AI-powered workflows. Through disciplined execution, adoption planning, and impact reporting, this role ensures AI initiatives meaningfully improve customer experiences while enabling Customer Success to scale.

Requirements

5–8+ years of program management, product operations, digital CS, or similar cross-functional leadership roles.
Experience designing or implementing AI, automation, or workflow intelligence in post-sales or GTM environments.
Strong ability to partner with engineering while also being hands-on building no-code AI prototypes, LLM workflows, prompt chains, or automation logic.
Deep understanding of CS lifecycle stages (handoff → onboarding → adoption → risk mgmt → renewal/expansion) and common CS technologies used.
Strong communication, stakeholder management, and change management capabilities.
Ability to translate ambiguous problems into structured programs and measurable outcomes.
Analytical skills to monitor workflow performance, detect friction, and iterate based on data.

Responsibilities

Partner with Customer Success leadership and functional stakeholders to understand evolving needs, priorities, and pain points across the post-sales organization.
Represent Customer Success in AI and roadmap planning with engineering, translating CS requirements into clear, actionable initiatives aligned to technical constraints and delivery timelines.
Program-manage the design, build, and rollout of AI-powered workflows across the customer lifecycle, working closely with engineering, product, and data teams on more advanced implementations.
Independently build, launch, and iterate on no-code / low-code AI workflows to deliver fast value and reduce dependency on engineering.
Maintain and optimize AI workflow structures over time, ensuring automations, scoring, alerts, and insights remain accurate, reliable, and aligned with evolving CS processes.
Drive adoption and measure impact, leading change management efforts and reporting on usage, efficiency gains, and customer outcomes.