Project Management Manager
Posted
Job Summary
You will lead the product and project lifecycle of smart computing and AI cluster offerings, coordinating cross-functional teams to deliver operational excellence and continuous improvements that drive business success.
Responsibilities
- Own the end-to-end product and project lifecycle of smart computing and AI cluster offerings, ensuring successful launch and ongoing operations while building a reusable knowledge base
- Align stakeholder expectations across business, product, engineering, and operations teams to coordinate execution and deliver post-launch support
- Translate business and technical requirements into clear, actionable operational plans that meet compute, data, and network milestones on time and with quality
- Drive the product roadmap by setting plans, tracking progress, and ensuring key milestones are met on schedule
- Proactively identify issues and risks, implementing solutions and mitigations before escalation
- Continuously enhance product operations and cross-team workflows by establishing more efficient processes to close operational gaps
Preferred competencies and qualifications
- Bachelor’s degree or higher in engineering, computer science, or a related field preferred
- 5-8 years of experience in product operations, program management, or related cross-functional roles
- Experience with AI compute, high-performance computing (HPC), big data, or cloud platforms is a plus
- Familiarity with cloud product operations (IaaS, PaaS, MaaS) and workflows
- Experience with GPU cluster operations or AI platform operations preferred
- Strong logical communication and stakeholder management skills, with a dependable, detail-oriented, and accountable approach under pressure
What they ask for
Preferred
- Bachelor’s degree or higher in engineering, computer science, or a related field preferred
- 5-8 years of experience in product operations, program management, or related cross-functional roles
- Experience with AI compute, high-performance computing (HPC), big data, or cloud platforms is a plus
- Familiarity with cloud product operations (IaaS, PaaS, MaaS) and workflows
- Experience with GPU cluster operations or AI platform operations preferred
- Strong logical communication and stakeholder management skills, with a dependable, detail-oriented, and accountable approach under pressure