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Senior Product Manager

Bellevue Office, WeWork Sunset North

About the Company

Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.

About the role

We are seeking an experienced Product Manager to lead the development and launch of GPU-as-a-Service (GPUaaS) capabilities on the Armada edge computing platform. This role will drive the strategy, roadmap, and execution of our distributed GPU resource management system, enabling customers to dynamically allocate and scale GPU compute across our global Galleon fleet.

Location. This role is office-based at our Bellevue, Washington office. 

What You'll Do (Key Responsibilities)

Product Strategy & Vision

  • Define product strategy for GPU-as-a-Service across edge, hybrid, and cloud environments
  • Create go-to-market strategy for GPU services targeting AI/ML workloads at the edge
  • Work with business team to establish pricing models and service tiers for GPU resources (on-demand, reserved, spot pricing)

Technical Product Management

  • Partner with engineering to design GPU allocation, scheduling, and orchestration systems
  • Define multi-tenant GPU sharing capabilities with performance isolation
  • Specify edge-to-cloud GPU bursting and workload migration features
  • Drive integration with Kubernetes for container-based GPU orchestration
  • Establish SLAs, performance metrics, and monitoring requirements

Market & Customer Development

  • Conduct customer research to understand GPU workload patterns and requirements
  • Define customer personas for edge AI, ML training, inference, and HPC workloads
  • Collaborate with sales teams to identify and validate customer use cases
  • Support pre-sales activities and proof-of-concept deployments

Platform Integration

  • Ensure seamless integration with existing Armada Commander platform
  • Define API specifications for GPU resource management and billing
  • Coordinate with Azure Local integration for hybrid GPU services
  • Drive multi-cluster federation capabilities for distributed GPU pools

Required Qualifications

Experience

  • 7+ years in product management, preferably in cloud computing, infrastructure, or developer tools
  • 3+ years working with GPU compute, AI/ML platforms, or HPC environments
  • Experience with Kubernetes, container orchestration, and resource management systems
  • Background in pricing strategy for usage-based or infrastructure services

Technical Skills

  • Deep understanding of GPU architectures (NVIDIA H100, A100, etc.) and workload characteristics
  • Knowledge of AI/ML frameworks (PyTorch, TensorFlow, CUDA) and inference pipelines
  • Familiarity with cloud service models (IaaS, PaaS, SaaS) and billing systems
  • Understanding of edge computing challenges and distributed system design

Business Acumen

  • Experience with B2B enterprise sales cycles and technical customer requirements
  • Strong analytical skills with ability to define and track key product metrics
  • Experience building competitive analysis and positioning against major cloud providers
  • Understanding of multi-tenant architecture and enterprise security requirements

Communication & Leadership

  • Proven ability to work with cross-functional teams (engineering, sales, marketing, operations)
  • Experience presenting to technical and executive audiences
  • Strong written and verbal communication skills
  • Ability to translate complex technical concepts into business value

Preferred Qualifications

  • Experience at GPU cloud providers (CoreWeave, Lambda Labs, Paperspace) or major cloud platforms
  • Background in edge computing, IoT, or distributed systems
  • Familiarity with defense, energy, or industrial sectors and their AI/ML requirements
  • Experience with open-source orchestration tools (Kubernetes, OpenShift, Rancher)
  • Understanding of MLOps, model deployment, and AI lifecycle management
  • Previous experience in startup or high-growth technology environments

Citizenship Requirements

For select roles, due to the nature of our clientele and the technologies involved, there may be specific nationality or citizenship indicated in the required qualifications section. These roles may involve access to sensitive information that is subject to export control regulations or other legal restrictions. In such cases, employment offers will be contingent upon your ability to comply with these requirements.

Compensation

For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications.  In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request).

Benefits

  • Medical, dental, and vision (subsidized cost)
  • Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
  • Retirement plan options, including 401(k) and Roth 401(k)
  • Unlimited paid time off (PTO)
  • 15 paid company holidays per year

#LI-AB1

#LI-Onsite

Compensation

$144,000 - $180,000 USD

You're a Great Fit if You're

  • A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge 
  • A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude 
  • Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
  • A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda 
  • Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you 

Equal Opportunity Statement

At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.

 

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