AI-Driven Cloud Capacity Lead

Cisco Systems; Boston (MA); On-site; USD 175,000 - 235,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Paid parental leave

Paid time off

Job summary

Cisco Systems is hiring for a capacity planning role to forecast cloud capacity by CSP, region, workload and resource type. You will partner with sales, product and engineering to align demand with supply, securing reservations with CSPs and guiding cost optimization with FinOps.

You will mentor team members and drive AI-enabled forecasting initiatives across regions, measuring success through sharper forecasts and on-time capacity deliveries.

Qualifications

• Experience in cloud or infrastructure capacity planning with AWS, Microsoft Azure or Google Cloud
• Experience building demand forecasts and scenario models
• Experience building reports and dashboards
• Experience working with FinOps or finance teams on cloud cost management, reservation coverage or budgets
• Hands-on experience with AI or ML tools to automate forecasting and reporting

Responsibilities

• Build and maintain a rolling capacity forecast by CSP, region, workload and resource type
• Compare demand from sales, bookings and roadmaps against available supply
• Collaborate with CSPs on reservations to ensure timely capacity
• Work with sales, engineering and FinOps on lead times and cost controls
• Mentor fellow capacity planners and introduce AI-enabled tools to improve planning

Skills

Cloud capacity planning

Forecast modeling

Reports & dashboards

FinOps collaboration

AI forecasting tools

Education

Bachelor's degree in business, finance, engineering, supply chain, data analytics or related field

Master's degree (optional) with 6+ years experience

Job description

Cisco Systems is hiring for a capacity planning role to forecast cloud capacity by CSP, region, workload and resource type. You will partner with sales, product and engineering to align demand with supply, securing reservations with CSPs and guiding cost optimization with FinOps.

You will mentor team members and drive AI-enabled forecasting initiatives across regions, measuring success through sharper forecasts and on-time capacity deliveries.