Overview
This role focuses on driving cloud cost transparency, governance, and optimization across a multi-cloud, multi-region infrastructure. You will partner with engineering and leadership to translate infrastructure and telemetry costs into cost-to-serve and gross-margin metrics, supporting pricing and competitive strategy.
Responsibilities
- Own hosting and cloud cost transparency by building reporting and dashboards on unit economics and cost drivers by product, team, and workload.
- Partner with engineering to identify and execute cost-saving opportunities, including rightsizing, reserved capacity, architecture changes, and non-production environment efficiency.
- Build cost governance for AI/GPU compute and security telemetry pipelines as they scale, including data retention and lifecycle decisions in partnership with Security and Compliance.
- Manage cost and pricing tradeoffs across multi-cloud, multi-region infrastructure, including data transfer, residency, and compliance costs.
- Translate infrastructure costs into cost-to-serve and gross-margin metrics that inform pricing and competitive strategy.
- Work with engineering leadership on a regular cadence to drive cost initiatives to closure and report on savings delivered.
- Embed with engineering teams to establish cost-aware architecture patterns, automated tagging hygiene, and regular cost-review cadences.
Requirements
- 8+ years in FinOps, cloud cost optimization, or operational cost management, with proven experience leading enterprise-wide cost initiatives and influencing cross-functional leaders.
- Demonstrated track record reducing cloud/hosting spend at scale (AWS, GCP, or Azure).
- Strong grasp of unit economics, with the ability to translate technical infrastructure costs into metrics that finance and business leaders can act on.
- Experience building governance processes and cross-functional accountability; comfortable operating with significant autonomy in a highly visible role.
- Proven ability to establish cross-functional governance structures across Finance, Product, and Engineering leadership to drive accountability.
- Experience with GPU/AI compute cost optimization and/or high-volume data pipeline cost management.
- Deep familiarity with multi-cloud architectures (AWS, GCP, Azure) and massive-scale data ingestion/telemetry pipelines.
Preferred Qualifications
- FinOps Certified Practitioner (FOCP), or equivalent hands-on experience, and familiarity with the FOCUS (FinOps Open Cost and Usage Specification) framework.
- Experience optimizing the cost of GPU/AI compute, or of high-volume data pipelines.
- Hands-on experience with multi-cloud architectures (AWS, GCP, Azure) and large-scale telemetry or data ingestion pipelines.
Compensation & Benefits
- U.S. annual salary range for this full-time position: 172,000 to 215,000 USD/year. Actual offers may be higher or lower than this range based on work location, job-related experience, and education.
- Extra days off to prioritize well-being
- 401(k) Retirement Savings Plan with a 3% company match
- Maternity and Parental Leave
- Mental health support for you and your family through the Modern Health app
- Full health benefits package for you and your family
Location
Equal Opportunity
The organization values a diverse workplace and encourages women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. It is an equal-opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or any other legally protected status.