Senior Product Manager - Cloud Workload & Database Protection AI Platforms, Vector & NoSQL

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.

If you suspect a recruiting scam, please contact us at wwrecruitingteam@commvault.com

About Commvault

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.

The Opportunity...

Commvault is looking for a Senior Product Manager to define and deliver the next generation of data protection for modern cloud database and AI workloads. In this role, you’ll drive product strategy, direction, and execution for Commvault data protection solutions that safeguard cloud AI platforms and services (e.g., Amazon SageMaker, Amazon Bedrock), vector databases (e.g., Pinecone and others), and NoSQL databases across on-prem and public cloud environments.

You’ll work closely with engineering, design, sales, marketing, and cloud/technology partners to turn customer problems into differentiated roadmap outcomes—shipping capabilities that improve resiliency, recovery performance, security, and operational simplicity. This is a hands-on role for a product leader who can dive deep into cloud architectures and database internals, move fast, and consistently deliver. What You'll Do...

Product Vision

• Cloud AI platforms and services (e.g., Amazon SageMaker, Amazon Bedrock, and emerging managed AI services)
• Vector databases (e.g., Pinecone, Milvus, Weaviate, pgvector)
• NoSQL databases across on-prem and cloud (e.g., MongoDB, Cassandra, DynamoDB, Cosmos DB) and other modern data services
• Identify new opportunities driven by GenAI/ML adoption, vector search, and modern cloud architectures—and translate them into shipped product outcomes
• Turn customer needs, field feedback, and partner requirements into clear, differentiated capabilities and crisp PRDs/user stories

Lead Product Execution

• Own the end-to-end product lifecycle—from discovery and validation to launch, adoption, and continuous improvement—delivering roadmap commitments with an agile mindset
• Work closely with engin