Technical Product Manager

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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

We are hiring TPMs across Storage, Platform/SRE, GPU Compute & AI Inference

We're looking for Technical Program Managers to lead some of the most critical programs powering our AI-native cloud. Whether your background is in storage, platform engineering/SRE, GPU compute, or AI/ML infrastructure, we have a high-impact ownership area for you.

If you are strong in any one of these verticals, you are encouraged to apply.

Role & Responsibilities

1. Storage, Data Foundation & CDN Programs

• Lead programs for

  object & file storage

  , CDN delivery, and capacity expansion.
• Drive data-layer services:

  Kafka, Spark equivalents, vector stores, data lakes

  .
• Build scalable, reliable data foundations for AI workloads.

2. Platform Engineering, SRE & Security

• Run programs for

  observability

  : logging, metrics, traces, dashboards, alerts.
• Lead

  security & identity

  initiatives: RBAC, SSO, key management, audit trails.
• Standardize incident management: SLOs, runbooks, PIRs, rollout strategies.
• Partner with SRE on infrastructure-as-code modules, shared environments, drift detection.

3. GPU Compute, Virtualization & High-Performance Workloads

• Lead programs for

  vGPU

  , GPU partitioning, and cluster bootstrapping.
• Drive features for VM templates, accelerated compute, and add-on codification.
• Support high-performance AI workloads through strong infra governance.

4. AI Inference Platform, Model Registry & Developer Tooling

• Drive programs for the

  inference platform

  , model registry, and developer tools
• Translate AI platform goals into clear roadmaps, milestones, and success metrics.
• Track adoption, performance, and reliability of AI-serving capabilities.

Must have Criteria

• 45 years in

  Technical Program Management

  or adjacent roles (infra, SRE, backend, ML, platform).
• Strong understanding of

  cloud infrastructure

  ,

  Kubernetes

  ,

  containers

  , and CI/CD.
• Hands-on experience with

  Infrastructure-as-Code

  (Terraform or similar).
• Familiarity with one or more areas:
• Storage / data platforms
• Platform/SRE / security
• GPU compute / virtualization
• AI/ML workflows / inference
• Bachelor's degree in CS, Engineering, or equivalent practical experience.

Nice to Have

• Experience with MLOps, model serving, or inference systems.
• Exposure to GPUaaS, HPC, or distributed compute platforms.
• Familiarity with data lakes, ETL, analytics, or vector databases.
• Background in high-growth, fast-scaling, or distributed teams.
• Experience with service meshes, API gateways, or developer platforms.