Senior Product Manager, Cloud Infrastructure
Posted 5hrs ago
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Job Description
Senior Product Manager driving development of cloud virtualization platform for service providers. Collaborating with engineering, marketing, and sales teams to enhance infrastructure services.
Responsibilities:
- Participate in shaping the strategy and roadmap: define vision, north-star metrics, and phased bets aligned to business goals
- Deeply understand customers and partners: engage buyers, channel partners, and admins through interviews, discovery calls, analytics, and surveys; translate insights into clear problem statements and PRDs
- Lead market & competitive analysis: size markets, analyze the competitive landscape, and identify differentiators and pricing/packaging opportunities
- Drive execution: prioritize backlogs, write crisp requirements, and collaborate with design and engineering to ship high-quality releases on time
- Partner on GTM: work with Marketing and Sales to build positioning, messaging, demos, and enablement; support launches and field training
- Run beta/pilot programs: define entry/exit criteria, instrument feedback loops, validate product-market fit, and convert early users
- Enable field teams: review product data and keep Sales, Solution Engineers, and Partner Success current on releases and competitor moves
- Measure outcomes: track adoption, attach rate, SLA metrics, performance, and support case drivers; iterate based on data.
Requirements:
- 5+ years in product management for enterprise or infrastructure software (IaaS, DR, data management or adjacent domains).
- Strong understanding of virtualization, hyper-converged infrastructure (HCI), and Network-as-a-Service concepts.
- Knowledge of the MSP, virtualization, and hyperscaler markets.
- Experience in hosting / cloud operations for multi-tenant services (IaaS, managed virtualization, MSP hosting, DC ops), including availability, capacity planning.
- Experience with market analysis and business cases (pricing, TCO, ROI).
- Experience in AI technologies and understanding of how AI/ML can enhance automation, anomaly detection, and decision-making in data protection and IT operations.
- Excellent communication, stakeholder management, and structured problem-solving skills; comfortable presenting from execs to customers.
Benefits:
- health insurance
- retirement plans
- paid time off
- flexible work arrangements
- professional development










