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

Commvault is a leader in cyber resilience, empowering organizations to recover from cyberattacks. They are seeking a Senior Product Manager to define and deliver innovative data protection solutions for modern cloud database and AI workloads, focusing on product strategy and execution.

Responsibilities:

• Define and drive product strategy, direction, and a multi-release roadmap for protecting: 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
• 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 engineering on architecture, design decisions, and trade-offs
• Define requirements for cloud-native protection and recovery
• Ensure solutions meet enterprise standards for scalability, reliability, security, and performance
• Partner directly with enterprise customers and design partners
• Lead competitive analysis and product positioning
• Support go-to-market efforts with sales and marketing
• Partner with sales teams to drive product success—supporting pipeline creation, enablement, competitive wins, and customer expansion with clear messaging and playbooks
• Represent the product in customer briefings, industry events, and analyst discussions

Requirements:

• Bachelor's degree in engineering, Computer Science, or related technical discipline
• 8+ years of product management or engineering experience (or equivalent technical leadership) in enterprise software, cloud platforms, databases, and/or data protection
• Hands-on experience with public cloud (AWS, Azure, or GCP) and protecting/operating cloud workloads, including identity/IAM, networking, encryption/KMS, and cloud-native APIs
• Hands-on experience administering, building on, or integrating with at least one modern database platform (vector and/or NoSQL) such as Pinecone, Milvus/Weaviate, MongoDB, Cassandra, DynamoDB, or Cosmos DB
• Working knowledge of cloud AI/ML platforms and services (e.g., Amazon SageMaker, Amazon Bedrock) and the data flows that power AI applications
• Ability to engage engineering teams at a detailed architectural level, write clear requirements, and make trade-offs across security, performance, reliability, and usability
• Strong cross-functional leadership and communication skills, with experience partnering with sales and customer-facing teams to drive adoption and revenue outcomes
• MBA preferred
• Experience protecting large-scale, multi-terabyte or multi-petabyte database environments
• Experience with AI/ML data pipelines and vector search architectures
• Familiarity with Kubernetes, containerized workloads, and infrastructure-as-code
• Experience with SaaS or multi-tenant data platforms
• Knowledge of compliance requirements (SOC2, GDPR, HIPAA, etc.)