Summary

Block's Cloud Economics team sits at the intersection of engineering strategy, financial stewardship, and operational decision‑making. Our work optimizes how Block allocates significant cloud investment and how engineering teams make tradeoffs between speed, reliability, and cost.

As a Technical Program Manager you will play a critical role in defining how cloud spend is understood, forecasted, and optimized across Block's multi‑cloud environment. You will operate with high ownership in ambiguous problem spaces, forecast dynamic spend drivers, uncover second‑order effects of infrastructure and architectural decisions, and partner with engineering and finance leaders to influence both near‑term execution and long‑term strategy.

You will frame problems, develop hypotheses, and create new analytical approaches that help leaders answer critical questions on cloud investment. Your work will directly inform executive decision‑making and shape how thousands of engineers think about cloud usage and efficiency.

You Will

1. Analyze cloud spend and usage across AWS, GCP, and related platforms to identify trends, anomalies, and optimization opportunities
2. Build and maintain forecasting and cost models that support business growth and financial planning
3. Partner with engineering teams to improve resource efficiency through rightsizing, commitment strategies, and better usage patterns
4. Develop and maintain tagging, cost allocation, and chargeback frameworks
5. Explore and apply AI/ML techniques to improve prediction, automation, and insight generation in cloud cost management
6. Work closely with engineering, finance, and procurement partners on optimization initiatives, budgets, vendor management
7. Identify cross-team opportunities to improve pricing, licensing, and cloud usage efficiency
8. Communicate insights and recommendations clearly to both technical and non-technical audiences
9. Translate complex billing and usage data into actionable insights and strategic recommendations
10. Build and maintain dashboards and automated reporting that highlight cloud efficiency, ROI, and FinOps maturity
11. Use automation and AI to streamline recurring analysis and reporting workflows

You Have

1. Strong analytical skills, including SQL and data analysis
2. 5+ years of experience in FinOps, cloud cost analysis, financial analysis, or a related analytical role
3. Working knowledge of cloud platforms (e.g., AWS, GCP) and cloud billing models
4. Interest in applying AI/ML to analytics, forecasting, or automation
5. Experience with data visualization, scripting (e.g., Python), or infrastructure tooling
6. Exposure to large-scale or multi-cloud environments
7. Experience with cloud cost management and reporting tools
8. Familiarity with tagging, cost attribution, and usage-based pricing
9. Certifications in FinOps or cloud platforms
10. Analytical and detail-oriented, with a pragmatic problem-solving approach
11. Collaborative and comfortable working across teams with different priorities
12. Clear communicator who can tailor messages to different audiences
13. Curious and motivated to learn new tools and approaches

Key Success Indicators

1. Cost Optimization Impact: Percentage reduction in cloud spend through optimization initiatives
2. Forecast Accuracy: Variance between forecasted and actual cloud costs
3. Cost Visibility: Percentage of cloud spend with accurate cost allocation and tagging
4. Process Maturity: FinOps maturity assessment scores across key capabilities
5. Automation Success: Percentage of cost management processes that are automated vs. manual

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. 

Zone A:

$135,200—$202,800 USD

Zone B:

$125,800—$188,600 USD

Zone C:

$119,000—$178,400 USD

Zone D:

$108,200—$162,200 USD

Skills

• AWS
• Communications Skills
• Problem Solving
• Team Collaboration