Partner with Sales to understand customer cloud, financial, and operational challenges and align Spot by Flexera capabilities to defined FinOps outcomes.
Lead technical pre-sales engagements, including discovery, solution architecture, product demonstrations, and value-based positioning.
Design and deliver PoCs and PoVs, with a strong focus on containerized workloads and Kubernetes optimization using Ocean.
Act as the technical authority during the sales cycle, supporting deal strategy and contributing to RFI/RFP/RFQ responses, including partner-led opportunities.
Demonstrate and position Flexera’s FinOps capabilities across cloud cost optimization, cost allocation, governance, and commitment management.
Support advanced container and Kubernetes optimization use cases, including rightsizing, scaling, availability, and cost efficiency.
Articulate how Flexera integrates FinOps, SaaS Management, and IT Asset Management to deliver differentiated Technology Intelligence outcomes.
Support partners through technical enablement, joint customer engagements, and solution validation.
Participate in US Public Sector opportunities as needed, with awareness of compliance, procurement, and security considerations.
Collaborate with internal teams to ensure consistent technical messaging and alignment across direct and partner-led motions.
Requirements
3+ years of experience in Solution Engineering, Pre-Sales, or a similar customer-facing technical sales role.
Preferred: 2+ years of hands-on experience in FinOps, Cloud Cost Management, or Cloud Optimization.
Strong experience with AWS, Azure, and/or Google Cloud Platform.
Demonstrated experience supporting containerized and Kubernetes environments; Ocean experience is highly desirable.
Familiarity with value-based selling methodologies; MEDDPICC experience is a plus.
Experience supporting enterprise customers; exposure to partners and/or US Public Sector is beneficial.
Technical Knowledge FinOps practices including cost allocation, budgeting, forecasting, optimization, and commitment management.
Container, Kubernetes, and cloud infrastructure cost optimization concepts.
Cloud delivery models including SaaS, IaaS, and container-based platforms.
Security and risk principles in cloud environments.