Group Product Manager, Edge Computing

Responsibilities

• Define and execute the product vision and strategy for Crusoe’s edge computing offerings based on modular AI data centers.
• Own the full product lifecycle from ideation through end-of-life across hardware and software edge solutions.
• Conduct market research, competitive analysis, and customer interviews to identify opportunities and validate concepts.
• Translate product strategy into roadmaps, user stories, and feature requirements covering hardware configurations, software, and connectivity.
• Partner with engineering, infrastructure, manufacturing, business operations, and go-to-market teams on product development and launches.
• Define pricing and packaging models that balance deployment economics, customer flexibility, and infrastructure returns.
• Track product metrics to guide decisions and measure success.
• Develop executive narratives and decision materials for investment, capacity planning, and product direction.
• Evangelize edge computing products to customers, partners, and internal stakeholders.

Requirements

• Product management experience delivering hardware, software, or platform products in edge computing or cloud infrastructure.
• Proven experience launching and scaling B2B technical products from concept to market.
• Strong understanding of edge computing architectures, including servers, storage, networking, containerization, virtualization, cloud control planes, and connectivity.
• Experience working across hardware and software boundaries and translating infrastructure capabilities into customer-facing products.
• Ability to balance technical tradeoffs, customer requirements, and infrastructure economics.
• Experience collaborating across engineering, manufacturing, operations, and go-to-market teams.
• Exceptional communication skills, including the ability to explain complex technical concepts to varied audiences and connect them to customer and business outcomes.
• Ability to work effectively in a fast-paced, high-growth startup environment.

Nice-to-Haves

• Experience with AI/ML infrastructure, including training, inference, and MLOps.
• Experience in the energy sector or sustainable technology.
• Hands-on experience with hardware design and manufacturing processes.
• Experience with AWS, Azure, or Google Cloud and their edge or distributed cloud products.
• Deep understanding of cloud-native principles.

Compensation and Benefits

• Compensation range of $250,000–$300,000 plus bonus.
• Restricted Stock Units included in all offers.
• Paid time off, holidays, and leave programs.
• Health, dental, and vision insurance.
• Employer HSA contributions.
• Paid parental leave.
• Life insurance and short- and long-term disability coverage.
• Professional development and tuition reimbursement.
• Mental health and wellness support.
• Commuter benefits and cell phone stipend.
• 401(k) plan with company match up to 4% of salary.
• Volunteer time off, global travel insurance, emergency assistance, meals allowance, and location-specific programs.