What you will do
- Own hosting/cloud cost transparency: build 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 with our AI-driven detection capabilities, including data retention and lifecycle decisions made in partnership with Security and Compliance.
- Manage cost and pricing tradeoffs across our 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.
- Partner with engineering leadership through a regular cadence to keep cost initiatives moving to closure, and report on savings delivered.
- Embed directly with engineering teams to establish cost-aware architecture patterns, automated tagging hygiene, and regular cost-review cadences.
What you will bring with you
- 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 of 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 act on.
- Experience building governance processes and cross-functional accountability, and 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.
What we look for
- 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.
When you join Sysdig, you can expect
- Extra days off to prioritize your 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
Apply for this role Opens jobs.lever.co — the employer's own page, as linked by the source that listed this role
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- 31 Oct 2026 Ats Boards first sighting
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