Principal Product Manager

The role

This Principal Product Manager will define data and AI trust by bridging data resilience, security, and AI governance. You will build and ship products from 0 to 1, working with engineering teams to secure AI workloads in Kubernetes environments.

What you will do

• Bridge data resilience, security, and AI.
• Shape new use cases for protecting and securing AI workloads in Kubernetes environments.
• Work with globally distributed development teams on use-case architecture and platform hardening.
• Partner cross-functionally to triage security findings and drive compliance.
• Articulate the why behind product development to engineers, customers, and leadership.
• Partner with sales to validate value propositions and build demos and proofs of concept.
• Lead the development roadmap iteratively based on customer learning.
• Turn ambiguous ideas into validated concepts, prototypes, and first releases.
• Define and track success metrics for product areas.
• Enable integration with alliance and ecosystem partners.

Required qualifications

• Expertise across data resilience and security including data protection, backup and recovery, and security disciplines.
• Working understanding of how LLMs, RAG pipelines, and AI agents are built and deployed.
• Ability to set up and operate environments across public cloud (AWS, Azure, GCP) and on-premises infrastructure.
• Experience with secrets management (e.g., HashiCorp Vault).
• First-principles problem solving.
• Strong communication skills to engage engineers, enterprise customers, and senior leadership.
• High agency in fast-moving environments.
• Team-first approach.
• Proven experience taking new products and capabilities from concept to market success.

Nice to have

• Prior experience in product management and/or sales engineering; technical roles such as solutions architecture, security engineering, DevOps, or technical marketing engineering
• Kubernetes and cloud-native knowledge including participation in the CNCF / open-source community
• Experience with image signing and verification (e.g., Sigstore)
• Experience reducing third-party dependency and CVE exposure
• Experience modernizing install, logging, and secrets workflows
• Background in the data protection or cybersecurity industry

Benefits

• Unlimited paid time off
• 12 paid holidays including 4 global VeeaMe Days
• 24 paid volunteer hours annually
• 8 weeks paid parental leave for all parents
• 16 weeks paid parental leave for birthing parents
• Medical, dental, and vision coverage starting on first day
• Mental health support, therapy sessions, and digital wellness tools
• 401(k) retirement plan with company matching contributions
• Fertility, adoption, and surrogacy support through Maven
• AirVet: 24/7 virtual veterinary care
• Legal services, identity protection, and supplemental health insurance options
• Tax-advantaged spending accounts for healthcare, dependent care, and commuting

Before you apply

• Open to travel for customer meetings, partner activities, and conferences

About the company

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient. Headquartered in Seattle, it protects over 550,000 customers worldwide.