Technical Program Manager, Enterprise Engineering

Vanta is a company focused on helping businesses earn and prove trust through continuous security monitoring. The Technical Program Manager will lead cross-functional programs, particularly focusing on internal AI initiatives and collaborating with various teams to enhance operational efficiency and tooling improvements.

Responsibilities:

• Lead internal AI initiatives from concept through execution, including use case discovery, pilot coordination, rollout planning, and adoption tracking
• Partner with Security, Legal, and GRC to support safe, responsible AI use, including policy alignment, tooling guardrails, and change management
• Coordinate cross-functional stakeholders to evaluate AI tools and integrations that improve productivity and operational efficiency
• Bring structure to ambiguous AI initiatives by defining goals, success metrics, timelines, and ownership
• Support internal education, enablement, and documentation related to tools and best practices
• Lead strategic Corporate Engineering initiatives beyond AI, including tooling improvements, workflow optimization, and operational programs
• Partner with cross-functional teams to identify needs, engage subject matter experts, and align solutions with business and operational goals
• Provide program management rigor across multiple concurrent initiatives, ensuring timely delivery and clear communication
• Communicate effectively across all levels of the organization, including senior leadership, tailoring messaging to different audiences
• Lead change management for new tools and initiatives, including rollout planning, training, and adoption support

Requirements:

• Proven experience managing complex, cross-functional programs in fast-paced, high-growth environments
• Strong program management skills with the ability to run multiple initiatives simultaneously
• Comfort operating in ambiguity and bringing clarity where none exists
• Experience partnering with technical, security, legal, and business teams
• Strong written and verbal communication skills, with the ability to tailor messages to diverse audiences
• Ability to balance innovation with operational rigor and risk management
• Familiarity with enterprise tooling ecosystems (e.g., Google Workspace, collaboration tools, IAM)
• Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact