✦ Luna Orbit — Product Management

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

at Commvault

📍 Remote, US Remote 💰 $123K – $247K USD / year Posted April 15, 2026
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Position Details

Salary $123K – $247K USD / year
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category Product Management

About this role

This role is responsible for defining and delivering data protection product strategy for cloud database and AI workloads. You will own the end-to-end product lifecycle, translating customer needs and partner requirements into PRDs/user stories and roadmap commitments.

Key Responsibilities

  • Define product strategy and multi-release roadmap for cloud AI, vector databases, and NoSQL protection,Own the end-to-end product lifecycle from discovery/validation through launch and adoption,Create PRDs and user stories based on customer and partner inputs,Drive cross-functional execution with engineering, design, sales, and marketing,Translate GenAI/ML adoption and vector search opportunities into shipped product outcomes

Technical Overview

You will focus on protecting cloud AI platforms and services (Amazon SageMaker, Amazon Bedrock), vector databases (Pinecone, Milvus, Weaviate, pgvector), and NoSQL databases (MongoDB, Cassandra, DynamoDB, Cosmos DB). The role requires deep understanding of cloud architectures and database internals to drive resiliency and recovery performance improvements.

Ideal Candidate

The ideal candidate is a senior product manager with a strong background in data protection product strategy and execution for modern cloud workloads and databases. They can define roadmap outcomes for securing cloud AI platforms, vector databases, and NoSQL databases, and translate customer and partner requirements into crisp PRDs and user stories, while partnering closely with engineering, design, sales, and marketing.

Must-Have Skills

Define and drive product strategydirectionand multi-release roadmapOwn end-to-end product lifecycle from discovery and validation to launchadoptionand continuous improvementTurn customer needsfield feedbackand partner requirements into clear differentiated capabilities and crisp PRDs/user storiesDive deep into cloud architectures and database internalsDeliver roadmap commitments

Nice-to-Have Skills

Not specified

Tools & Platforms

Amazon SageMakerAmazon BedrockPineconeMilvusWeaviatepgvectorMongoDBCassandraDynamoDBCosmos DBNot specified

Required Skills

Product strategyproduct roadmapmulti-release roadmapend-to-end product lifecyclediscovery and validationlaunchadoptioncontinuous improvementPRDsuser storiesdata protectioncloud workload protectioncloud database protectioncloud architecturesdatabase internalsresiliencyrecovery performanceoperational simplicityvector databasesvector searchgenAI/ML adoptioncustomer needs translation

Hard Skills

Product strategyProduct roadmap planningMulti-release roadmapData protectionCloud workload protectionCloud database protectionCloud architectureDatabase internalsEnd-to-end product lifecycle managementDiscovery and validationProduct launchAdoptionContinuous improvementPRDs (Product Requirements Documents)User storiesGenAI/ML adoptionVector searchCloud AI platforms and servicesSecurity and resilienceRecovery performanceOperational simplicityCustomer needs translation into product outcomesPartner requirements gatheringCross-functional collaboration

Soft Skills

Hands-on product leadershipCross-functional collaborationPartner managementCommunication with engineeringdesignsalesand marketingTranslating feedback into roadmapsAbility to work fastProduct execution leadership

Industry & Role

Industry SaaS
Job Function Lead product management for next-generation cloud data protection for AI, vector, and NoSQL workloads
Role Subtype Senior Product Manager
Tech Domains Amazon Web Services, Database Administration

Keywords for Your Resume

Senior Product ManagerSenior Product Manager - Cloud Workload & Database ProtectionProduct Managerproduct strategyproduct roadmapmulti-release roadmapend-to-end product lifecyclediscovery and validationlaunchadoptioncontinuous improvementPRDsuser storiesdata protectioncloud database protectioncloud AI platformsAmazon SageMakerAmazon Bedrockvector databasesPineconeMilvusWeaviatepgvectorNoSQL databasesMongoDBCassandraDynamoDBCosmos DBcloud architecturesdatabase internalsresiliencyrecovery performanceoperational simplicitygenAI

Deal Breakers

Must be able to own end-to-end product lifecycle (discovery/validation through launch and adoption), Must have proven capability translating customer/field feedback and partner requirements into PRDs and user stories, Must demonstrate ability to work with cloud architecture and database internals

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