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Principal Product Manager, Security

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Commvault
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Cloud Computing, Cybersecurity, Data Security, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

San Francisco, California, United States of America;
Washington, United States of America

Recruitment Fraud Alert

We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number.

What to know:
  • Commvault does not conduct interviews by email or text.
  • We will never ask you to submit sensitive documents (including banking information, SSN, etc.) before your first day.

Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI‑powered platform combines best‑in‑class data protection, exceptional data security, advanced data intelligence, and lightning‑fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data.

Please note that due to quarterly team meet ups and time zone constraints, we require this person to be located in the San Francisco Bay Area (preferably) or Seattle, WA.

The Opportunity

Clumioby Commvault is a leader in cloud‑native cyber‑resilience. The product is a purpose‑built SaaS platform designed to solve the “data protection gap” in high‑scale cloud environments. We build a purpose‑built Enterprise B2B SaaS platform that empowers organizations to protect their most critical data assets, such as Amazon S3, Dynamo

DB, and Apache Iceberg, with unprecedented scale and simplicity.

The team operates at the intersection of extreme scale and data security. We are known for engineering solutions that handle the world’s most demanding data environments, protecting billions of objects across services like Amazon S3 and Dynamo

DB where traditional legacy architectures fail.

This is an exciting time to be joining the team as we are moving beyond our core success in AWS data protection to tackle the broader challenges of the multi‑cloud era. The broader goal is to provide enterprises with a unified lens for visibility, compliance, and resilience, ensuring that as data grows, it remains both secure and recoverable. You will play a pivotal role in integrating AI‑driven intelligence into our products, helping us shift from reactive recovery to proactive data resilience and governance across a diverse, multi‑cloud landscape.

What

You’ll Do

Lead Product Discovery: Deeply understand customer problems regarding data risk and recovery. You will navigate the operational constraints of massive‑scale cloud environments to define how we protect and classify data across S3, Dynamo

DB, and Apache Iceberg.

Define Vision &

Roadmap:

Own the end‑to‑end journey for Cyber Resilience and DSPM features. You will manage the product from initial concept through to the launch of AI‑driven classification and automated recovery workflows.

Execute with Technical Rigor: Work day‑to‑day with Engineering and AI Research teams to prioritize backlogs, clarify technical scope for cloud‑native integrations, and ensure high‑quality execution in a high‑scale environment.

Communicate with Stakeholders: Serve as a primary point of contact for the product’s technical direction. You will facilitate feedback loops with customers, present roadmaps to internal leadership, and provide technical clarity to external partners as needed.

Bridge the GTM Gap: Partner with Sales and Marketing to support pilots and customer adoption. You will translate complex “resilience” and “posture” capabilities into clear business value for the enterprise buyer.

Measure Impact: Track product success through adoption metrics, recovery time objectives (RTO), and the effectiveness of AI‑driven data classification.

Who You Are

Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Experience: 10+ years of Product Management experience with a focus on Enterprise B2B SaaS and platform products.

Domain Expertise: At least 5 years in the Cybersecurity or…

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