Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

About the Role

Veeam is looking for a high-agency, hands-on Principal Product Manager to help define what data and AI trust looks like in the agentic era. AI is a generational discontinuity: autonomous agents now read, modify, and delete enterprise data at machine speed, and the AI factories behind them increasingly run as stateful, cloud-native workloads on Kubernetes — from AI pipelines and model artifacts to the vector databases powering RAG. The infrastructure to deploy AI exists; the infrastructure to trust it is still being built. As data resilience, data security, and AI governance converge on the Veeam DataAI Command Platform, we need a builder who can take ideas from 0 to 1 at that intersection. You’ll join a friendly, fast-moving team of builders who win together and move fast.

This is a senior individual contributor role — there are no direct reports, and your impact comes from what you build, ship, and influence, not from the size of an org chart. You’ll thrive here if you love building and are energized by ambiguity.

What You’ll Do

Bridge data resilience, security, and AI. Connect the dots between data resilience, data security posture, and AI governance — identifying where they converge and defining products that keep customers resilient, secure, and AI-ready.
Seize the agentic AI opportunity. Shape new use cases for protecting and securing AI workloads — especially in Kubernetes environments — from detecting risky agent activity to undoing AI mistakes with precise, clean, verified recovery.
Roll up your sleeves with engineering. Work shoulder-to-shoulder with globally distributed development teams on use-case architecture and platform hardening — from authentication and logging to secrets management — and tease out the minimum viable product.
Champion security and compliance as deal accelerators. Partner cross-functionally to triage security findings into fixable work and drive compliance (e.g., SOC 2, STIG, NIST, VPAT) that unblocks regulated and public-sector deals.
Own the “why.” Articulate why we are building what we’re building, and bring engineers, customers, and leadership along once the merits are clear.
Educate customers and the field. Partner with sales and lead customers to articulate and validate the value proposition, build compelling demos and proofs of concept, and evangelize at analyst and community events.
Innovate in the eyes of the customer. Use what you learn from customers to lead the development roadmap iteratively — ship, learn, and refine in tight loops so every release reflects real-world needs.
Take initiatives from 0 → 1. Turn ambiguous ideas into validated concepts, prototypes, and first releases — creating new products and capabilities where none existed before, then scaling what works.
Measure what matters. Define and track success metrics for your product areas, and use them to inform what we build next.
Strengthen the ecosystem. Enable tighter integration with alliance and ecosystem partners to deliver value to customers faster.

What You’ll Bring

Expertise across data resilience and security. Hands-on understanding of data protection, backup and recovery, and security disciplines (e.g., ransomware resilience, threat detection, identity and access including OAuth 2.1/OIDC, data security posture, AI security and governance, software supply chain security) — and how they intersect in enterprise environments.