Role: Technical Program Manager, Storage

Function: Technical Program Management

Location: Bengaluru, India

Industry: AI Infrastructure, Cloud Computing

About Company

This role is with a rapidly growing AI infrastructure startup founded in 2025 in Bengaluru by a leadership team with deep product, cloud, and systems experience from global-scale tech companies. The company has built a GenAI-powered private cloud platform that automates and manages complex AI workloads across hybrid, on-prem, edge, and sovereign cloud environments — designed for enterprise sectors where performance, data security, and compliance are critical. Backed by leading global VCs and prominent operators (approx. $10M seed raised), the company is recognized for strong engineering rigor and product clarity. Its platform focuses on AI-native orchestration, deep observability, and cost/performance optimization to help large enterprises deploy and scale AI with confidence. This is an opportunity to join early and shape the future of AI-first cloud infrastructure.

Position Overview

You lead programs that build the storage backbone for AI-native cloud services. You own object and file storage, CDN delivery, and capacity expansion that power demanding, real-time workloads. Your work drives reliable, scalable data foundations that let enterprise customers deploy AI with confidence.

Role & Responsibilities

• Run end-to-end programs for object and file storage, CDN/serving, and capacity expansion.
• Drive delivery of data-foundation services such as Kafka, Spark equivalents, vector stores, and data lakes needed by AI products.
• Translate business and platform goals into clear scope, milestones, and measurable success metrics.
• Maintain a single plan of record across multiple teams, tracking risks and dependencies.
• Report program status, blockers, and mitigation plans to senior leadership.

Must have Criteria

• 4–5 years in technical program management or similar delivery roles focused on storage, data platforms, or cloud infrastructure.
• Deep understanding of storage architectures, object and file stores, and data management for AI/ML workloads.
• Hands-on experience with container and Kubernetes environments and infrastructure as code.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Nice to Have

• Experience with analytics and ETL systems or data-lake architectures.
• Prior work on AI/ML or GPU-backed platforms.