Product Manager (AI Infrastructure) - Hosting

Hamilton Barnes Associates Limited; San Francisco (CA); On-site; USD 225,000 - 275,000; Full time

Benefits offered by this job

Stock Options

Company Bonus

Job summary

Hamilton Barnes Associates Limited is seeking a Product Manager AI Infrastructure to lead the product roadmap for GPU compute and cloud platform services. This role requires over 5 years of experience in Product Management focused on cloud or AI infrastructure and strong technical knowledge of GPU systems.

The selected candidate will work closely with diverse teams to deliver scalable solutions and ensure that customer needs are met. Competitive salary and benefits such as stock options are offered.

Qualifications

• 5+ years of experience in Product Management within cloud infrastructure or AI infrastructure.
• Strong technical understanding of GPU infrastructure and cloud platforms.
• Ability to understand and communicate complex technical concepts.

Responsibilities

• Define and manage the product roadmap for AI infrastructure.
• Work with engineering and infrastructure teams to deliver scalable solutions.
• Translate customer requirements into product specifications.

Skills

Product Management experience

Technical understanding of GPU infrastructure

Experience working with engineering teams

Communication skills

Analytical and prioritisation skills

Job description

Looking for a role with plenty of growth opportunities?

Join a rapidly scaling AI cloud infrastructure provider building a next‑generation GPU platform designed for AI training, experimentation, and inference at scale. The company is developing a fully featured AI cloud platform powered by renewable energy and is already operating with strong momentum across Europe, while now significantly expanding its footprint in the United States.

An exciting opportunity has opened for a Product Manager AI Infrastructure to drive the roadmap for GPU compute, networking, storage, and platform services. The role works closely with engineering and infrastructure teams to deliver scalable solutions supporting advanced AI workloads within a rapidly growing AI infrastructure environment.

Responsibilities

• Define and manage the product roadmap for AI infrastructure and cloud platform services
• Work closely with infrastructure, networking, storage, platform, and ML engineering teams to deliver scalable GPU cloud capabilities
• Translate customer and market requirements into clear product specifications and technical priorities
• Drive feature development across areas such as GPU orchestration, scheduling, observability, provisioning, networking, and developer tooling
• Partner with commercial and customer‑facing teams to understand hyperscale, enterprise, and AI‑native customer requirements
• Prioritise platform improvements based on scalability, reliability, operational efficiency, and customer impact
• Coordinate cross‑functional execution between engineering, operations, and leadership teams
• Contribute to long‑term platform strategy for AI training and inference infrastructure
• Monitor industry trends across AI infrastructure, GPU cloud platforms, HPC, and developer tooling ecosystems
• Support product launches, technical documentation, and internal enablement initiatives

Skills / Must Have

• 5+ years of experience in Product Management within cloud infrastructure, AI infrastructure, HPC, or distributed systems environments
• Strong technical understanding of GPU infrastructure, cloud platforms, networking, storage, or Kubernetes‑based systems
• Experience working closely with infrastructure and platform engineering teams on highly technical products
• Ability to understand and communicate complex technical concepts to both technical and non‑technical stakeholders
• Familiarity with AI/ML infrastructure requirements including training and inference workloads
• Strong analytical, prioritisation, and stakeholder management skills
• Experience operating in fast‑paced, high‑growth technology environments
• Excellent communication and cross‑functional collaboration capabilities

Desirable Skills

• Experience with GPU orchestration platforms, Slurm, Kubernetes, or AI infrastructure tooling
• Familiarity with hyperscale infrastructure environments or GPU cloud providers
• Understanding of AI networking, high‑performance storage, or distributed compute systems
• Experience building products for developers, ML engineers, or AI research teams

Benefits

• Stock Options
• Company Bonus

Salary

• Upwards of $250,000 base salary