Cloud Cost Optimization Program Manager

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud Cost Optimization Program Manager based in the United States.

This senior role will lead cloud cost optimization and FinOps initiatives within a large-scale enterprise technology environment.
You will work across cloud infrastructure, engineering, finance, data, and technical program management to turn cloud spend insights into measurable savings.
The position combines strategic planning with hands-on execution, requiring you to identify opportunities and drive them through delivery.
You will collaborate closely with AWS and GCP teams, engineering leaders, and senior stakeholders to improve cloud economics and governance.
The role offers significant visibility and ownership, with direct influence over optimization priorities, processes, and financial outcomes.
Success will depend on your ability to translate complex technical and financial information into clear actions and sustainable results.
This is an ideal opportunity for an experienced FinOps and program leader who thrives in complex, cross-functional environments.

Accountabilities

• Partner with cloud service provider teams and internal engineering organizations to identify savings opportunities, resolve billing and data issues, and drive optimization commitments through completion.
• Build, prioritize, and manage a pipeline of cloud cost reduction initiatives across compute, storage, networking, and platform services.
• Work with engineering teams to scope and execute initiatives including rightsizing, commitment optimization, architecture improvements, and workload migrations.
• Monitor cloud spend, anomalies, forecasts, usage patterns, and optimization opportunities while proactively identifying risks and improvement areas.
• Analyze cloud billing, usage, tagging, and allocation data to support cost analysis and validate savings.
• Develop financial analyses, forecasts, business cases, savings reports, and executive-level recommendations.
• Translate complex cloud infrastructure and financial data into concise insights that support informed decision-making.
• Establish and maintain recurring cloud cost governance, reporting, and review cadences across engineering and leadership teams.
• Improve processes related to tagging, cost allocation, forecasting, anomaly management, savings validation, and optimization tracking.
• Coordinate timelines, dependencies, risks, and deliverables across multiple technical and business teams.
• Influence stakeholders and drive execution through strong relationships and program leadership rather than direct reporting authority.

Requirements

• 14+ years of professional experience, including substantial experience leading complex technical programs within large enterprise environments.
• Strong expertise in FinOps, cloud cost optimization, cloud economics, or cloud financial management.
• Strong understanding of AWS and/or GCP, including cloud infrastructure, pricing, billing, usage, and cost optimization concepts.
• Demonstrated success delivering measurable cloud cost optimization initiatives in partnership with engineering or infrastructure teams.
• Extensive technical program management experience across complex, cross-functional engineering initiatives.
• Experience working directly with cloud service providers or leading CSP-related technical and financial initiatives.
• Ability to work with cloud cost and usage datasets, with working knowledge of SQL, scripting, data pipelines, and/or data modeling.
• Experience creating financial analyses, forecasts, business cases, savings reporting, and executive communications.
• Proven ability to influence engineering teams and deliver outcomes without direct management authority.
• Excellent written and verbal communication skills, including confidence presenting to senior and executive stakeholders.
• Experience with FinOps platforms such as Apptio Cloudability, VMware CloudHealth, or similar solutions is an advantage.
• Familiarity with AWS Cost Explorer, AWS Cost and Usage Reports, GCP Cloud Billing, or equivalent native cloud cost-management tools is desirable.
• FinOps Foundation certification or other formal FinOps training is a plus.
• Experience operating in large-scale enterprise cloud environments and improving tagging, cost allocation, forecasting, anomaly management, or governance processes is beneficial.
• Exposure to multi-cloud optimization across AWS and GCP is advantageous.
• Candidates must be based in the United States or Canada and available for significant Pacific Time overlap.
• US-based candidates must already be authorized to work in the United States without current or future employment visa sponsorship.

Benefits

• Fully remote opportunity for candidates based in the United States and Canada.
• W-2 contract engagement for US-based candidates.
• Paid time off after the first three months of engagement, including applicable local holidays.
• Long-term opportunity supporting a large-scale global technology organization.
• High-visibility collaboration with senior engineering leaders, cloud specialists, CSP partners, and executive stakeholders.
• Opportunity to directly influence cloud optimization, cost governance, and operational efficiency at significant enterprise scale.
• Substantial ownership across technical, financial, and program-management initiatives.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.