Senior Product Manager, Storage

Responsibilities

• Define the product roadmap and requirements for new smart storage and semantic search capabilities, guiding them from Preview launches to General Availability (GA).
• Benchmark competitive products and extract actionable insights to shape product strategy and drive the roadmap.
• Collaborate with cross-functional stakeholders to accelerate adoption and revenue growth.
• Navigate the challenges of building retrieval systems for exabytes of data, ensuring optimal price-performance for cost-sensitive, high-scale vector search workloads.
• - Define the product roadmap and requirements for new smart storage and semantic search capabilities, guiding them from Preview launches to General Availability (GA). - Benchmark competitive products and extract actionable insights to shape product strategy and drive the roadmap. - Collaborate with cross-functional stakeholders to accelerate adoption and revenue growth. - Navigate the challenges of building retrieval systems for exabytes of data, ensuring optimal price-performance for cost-sensitive, high-scale vector search workloads.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor's degree or equivalent practical experience. - 8 years of experience in product management or a related technical role. - 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc). - 3 years of experience in Cloud storage and the overall public cloud ecosystem including customer requirements, market trends, competitive positioning. Preferred qualifications: - Master's degree in a technology or business related field. - 5 years of experience working cross-functionally with engineering, Developer Relations, and Outbound Product Management. - 3 years of experience in software development or engineering, including building and scaling vector search, vector databases, or Retrieval-Augmented Generation (RAG) products within cloud services. - Experience with the Generative AI and Agent ecosystem, including agent frameworks (e.g., LangChain) and enterprise AI platforms. - Experience taking developer-facing APIs, SDKs, or AI platforms from concept to General Availability. - The ability to effectively, efficiently, and ethically interact with artificial intelligence systems to drive productivity and achieve desired outcomes.