Cloud Infrastructure Product Manager

Job Title: Cloud Infrastructure Product Manager
Location: Cambridge MA 02142 Remote only
Experience Level: Mid-Senior
Experience Required: 12 Years
Education Level: Bachelors Degree
Job Function: Information Technology
Industry: Information Technology and Services
Relocation Assistance: Not available
Visa Sponsorship Eligibility: Not available

Senior Product Manager Cloud Infrastructure & GPU Platforms (Remote Full-Time)

Our client is seeking a highly technical Senior Product Manager to lead the strategy and roadmap for next-generation cloud infrastructure compute and GPU platforms. This role is ideal for a product leader who can bridge the gap between complex technology customer needs and business strategy.

Youll work closely with engineering architecture sales customers and technology partners to develop scalable infrastructure products supporting AI HPC enterprise and cloud workloads.

What Youll Do

• Define product vision strategy roadmap and priorities for cloud compute and GPU platforms.
• Translate customer and market needs into product requirements and technical specifications.
• Partner with engineering on CPU/GPU server networking storage and virtualization technologies.
• Manage products throughout their lifecycle from concept and launch through optimization and end-of-life.
• Develop business cases pricing strategies financial models and TCO/profitability analyses.
• Develop go-to-market strategies with sales marketing and solutions engineering.
• Collaborate with technology partners on integrations and infrastructure roadmaps.
• Define APIs automation and developer experiences that make infrastructure easier to consume.
• Track key metrics including utilization adoption revenue performance and profitability.
• Build alignment across engineering executive leadership and customer-facing teams.

What Were Looking For

• 12 years of experience in product management cloud infrastructure technology engineering or a related field.
• Bachelors degree in Computer Science Engineering or equivalent experience.
• Strong experience with cloud infrastructure compute platforms virtualization GPUs or hardware-focused products.
• Understanding of virtualization technologies such as KVM VMware Hyper-V or Xen.
• Knowledge of CPU/server architecture Linux networking storage containers and multi-tenant environments.
• Experience with GPU architectures CUDA AI/HPC workloads and accelerated computing.
• Familiarity with Infrastructure as Code tools such as Terraform Pulumi Ansible or CloudFormation.
• Strong understanding of cloud economics including pricing utilization margins profitability and TCO.
• Proven product strategy roadmap requirements and stakeholder management experience.
• Strong communication skills and the ability to influence highly technical engineering teams.

Ideal Background

Strong candidates may come from AWS Azure Google Cloud Oracle Cloud DigitalOcean Linode Vultr Equinix Cloudflare VMware Nutanix Red Hat OpenStack or similar infrastructure-focused organizations. Candidates with backgrounds in Cloud Infrastructure Product Management Compute Platforms GPU/AI Infrastructure Virtualization Cloud Architecture or Infrastructure Engineering are especially relevant.

Why This Opportunity

This is an opportunity to shape the future of cloud infrastructure and AI computing at global scale. Youll combine technical expertise product strategy and business acumen to build products that support some of the most demanding AI HPC and enterprise workloads.

If youre a technical product leader who can speak with engineers about infrastructure and executives about business strategy wed love to hear from you.

Benefits

The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives equity awards and an Employee Stock Purchase Plan (ESPP). The company provides industry-leading benefits including healthcare 401K savings plan company holidays vacation (in the form of PTO) sick time family friendly benefits including parental leave and an employee assistance program including a focus on mental and financial wellness.

Interview Process

1. 1st Round: Technical Interview with Hiring Manager
2. 2nd Round: Panel Interview with each Discipline/Technical Lead (2 to 4 separate interviews across domestic and international time zones)
3. 3rd Round: Non-Technical Interview with Operations