About the role
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. This team helps automate audit readiness work while keeping customers in control. This is a rare opportunity to lead a zero-to-one build in one of the fastest-growing areas of our business, transforming Vanta into an AI-first platform.
The team's mission is to make AI a core differentiator of Vanta by enabling and accelerating product innovation, and creating reliable, trustworthy, and high-quality customer experiences.
The team is currently building out our Vanta Agent product, focused on downmarket and startup customers initially, with plans to scale the product to all customer segments. Core projects include agentic evidence collection, reducing manual work while ensuring the customer remains the final approver in all decisions. In this role, you'll manage a team that's scaling rapidly—currently 7 engineers with plans to grow to scale further throughout the year. You'll work closely with Vanta's AI platform team, product, and GRC subject matter experts to ship AI features that deliver magical customer experiences. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an Engineering Manager at Vanta: Build and scale a high-performing team, hiring strategically to fill skill gaps as
the team grows Coach, mentor, and create an environment where your team can do their best work and deliver for the business Set direction and guide technical strategy for AI agent and downmarket products, ensuring long-term value aligned with Vanta's business priorities Partner closely with product, design, and AI platform teams to ship customer-facing AI features that automate audit work while maintaining human-in-the-loop controls Champion best practices for applied AI, including prompt engineering, RAG, agentic frameworks, and quality evaluation Navigate rapid change and ambiguity with adaptability, iterating quickly on roadmaps as