About The Position
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.
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
Nice To Haves
- 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.)
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
Benefits
- Continuous professional development, product training, and career pathing
- An inclusive company culture, opportunity to join our Employee Groups
- Generous benefits supporting your health, financial security, and work-life balance
- Employee stock purchase plan (ESPP)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
