Container Optimization Marketing Manager - PerfectScale by DoiT

DoiT is a global technology company that helps cloud-driven organizations leverage the cloud for growth and innovation. They are seeking a Container Optimization Marketing Manager to drive growth and market positioning for their Kubernetes optimization business, partnering with sales and product leadership to create a unified marketing strategy.

Responsibilities:

• Serve as the primary marketing lead for the PerfectScale business unit
• Translate revenue targets and expansion goals into a unified quarterly marketing strategy
• Define ICP segmentation across Kubernetes users, enterprise container teams, and CSP related solutions
• Shape economic narratives around data platform waste reduction and performance optimization
• Centralize campaign prioritization across Growth, Content, BDR/MDR, and Creative
• Ensure PerfectScale positioning is clearly differentiated in the data optimization market
• Lead and direct cross-functional execution across Growth and Digital
• Own the strategy and execution of programs that drive awareness and pipeline within the data ecosystem
• Develop and manage strategic campaign briefs that align messaging, audience, and economic value
• Partner with Content, Growth, Sales, and RevOps to create visibility into performance metrics

Requirements:

• 3 to 5 years in B2B marketing, demand generation, or product marketing
• Experience marketing to Kubernetes engineering, container, or FinOps audiences
• Familiarity with Kubernetes, containers, or cloud data workloads
• Strong strategic planning capability combined with hands-on execution
• Demonstrated success driving pipeline growth in a technical B2B environment
• Experience partnering closely with sales leadership
• Thinks in terms of revenue, expansion, and economic value
• Understands enterprise data teams and cloud cost pressures
• Comfortable owning a business unit narrative
• Can centralize and prioritize across competing marketing inputs
• Moves fluidly between strategy and execution
• Data-driven and outcome-oriented