Senior Product Manager - Cloud Workload & Database Protection (AI Platforms, Vector & NoSQL)
$123.25k - $247.25kCommvault
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 View email address on click.appcast.io 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 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 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 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 Engage Customers and the Market 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 Who You Are... Essential Skills & Experience: 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 Preferred Skills & Experience: 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.). You’ll love working here because... 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) Ready to #makeyourmark at Commvault? Apply now!
#LI-JS1
#LI-Remote Thank you for your interest in Commvault. Reflected below is the minimum and maximum base salary range for this role. At Commvault we use broad salary ranges in our job postings to reflect the diverse levels of expertise and experience among our candidates and is not reflective of the total compensation and benefits package. The specific salary offered will be determined based on your unique qualifications, including your relevant experience, skills, and the value you bring to the role. While the range provides a general idea of the compensation, it is important to note that placements within the range are not automatic and will be carefully considered to ensure a fair and competitive offer. We are committed to rewarding talent and experience. Pay Range$123,250—$247,250 USD
Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work. Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email View email address on click.appcast.io For any inquiries not related to an accommodation please reach out to View email address on click.appcast.io. Commvault's Privacy Policy- ...Machine Learning and AI. We are the... ...on AWS cloud. You will collaborate... ...Generative AI workloads, including handling... ...applications, vector embeddings, and... ...workflows and platform automation.... ...Familiarity with vector databases, embeddings,... ...status, protected veteran status,...PlatformSeniorDatabaseLocal area
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