Technical Program Manager _Compute
Application Form
Technical Program Manager _Compute Application Form
Role: Technical Program Manager (Compute)
Function: Technical Program Management
Location: Bengaluru
Industry: AI infrastructure, Cloud Computing, High-Performance 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 own critical compute programs that bring GPU-powered cloud services to life. You orchestrate cross-functional teams to ship vGPU, partitioning, and cluster bootstrapping features that unlock high-performance AI workloads for enterprise users.
Role & Responsibilities
- Run end-to-end programs for VM templates, cluster bootstrap, and add-on codification.
- Drive delivery of vGPU and GPU partitioning features.
- Define program plans, milestones, and success metrics; track risks and dependencies across teams.
- Standardize program hygiene, including PRDs or program briefs, status reports, and post-incident reviews.
Must have Criteria
- Proven experience in technical program management or technical delivery roles focused on infrastructure, platform, or distributed systems.
- Working knowledge of Kubernetes, virtualization, and GPU or accelerated compute concepts.
Nice to Have
- Exposure to GPUaaS, HPC, or model-inference platforms.
- Experience with capacity planning and observability for GPU or compute platforms
Apply Now
Share your details below to apply for this job.
Job Description
Role: Technical Program Manager (Compute)
Function: Technical Program Management
Location: Bengaluru
Industry: AI infrastructure, Cloud Computing, High-Performance 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 own critical compute programs that bring GPU-powered cloud services to life. You orchestrate cross-functional teams to ship vGPU, partitioning, and cluster bootstrapping features that unlock high-performance AI workloads for enterprise users.
Role & Responsibilities
- Run end-to-end programs for VM templates, cluster bootstrap, and add-on codification.
- Drive delivery of vGPU and GPU partitioning features.
- Define program plans, milestones, and success metrics; track risks and dependencies across teams.
- Standardize program hygiene, including PRDs or program briefs, status reports, and post-incident reviews.
Must have Criteria
- Proven experience in technical program management or technical delivery roles focused on infrastructure, platform, or distributed systems.
- Working knowledge of Kubernetes, virtualization, and GPU or accelerated compute concepts.
Nice to Have
- Exposure to GPUaaS, HPC, or model-inference platforms.
- Experience with capacity planning and observability for GPU or compute platforms
Apply Now
Share your details below to apply for this job.
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