
501 - 1000 employees
Founded 2010
☁️ SaaS
🔒 Cybersecurity
💰 $110M Series G on 2019-05
SaaS • Cybersecurity • Cloud Computing
Sumo Logic is a cloud-based machine data analytics company that offers a comprehensive platform for monitoring, troubleshooting, automating, and defending IT infrastructures. The company specializes in cloud security intelligence, leveraging AI and machine learning to provide enhanced observability and security threat detection. It is known for its powerful log management capabilities, which help organizations unlock cloud security and efficiently troubleshoot system issues. Sumo Logic's platform integrates seamlessly with cloud services, providing infrastructure monitoring and application observability to modernize IT operations. Their solutions are tailored to various use cases, including DevSecOps, cloud migration, and digital customer experience enhancement.
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501 - 1000 employees
Founded 2010
☁️ SaaS
🔒 Cybersecurity
💰 $110M Series G on 2019-05
SaaS • Cybersecurity • Cloud Computing
Sumo Logic is a cloud-based machine data analytics company that offers a comprehensive platform for monitoring, troubleshooting, automating, and defending IT infrastructures. The company specializes in cloud security intelligence, leveraging AI and machine learning to provide enhanced observability and security threat detection. It is known for its powerful log management capabilities, which help organizations unlock cloud security and efficiently troubleshoot system issues. Sumo Logic's platform integrates seamlessly with cloud services, providing infrastructure monitoring and application observability to modernize IT operations. Their solutions are tailored to various use cases, including DevSecOps, cloud migration, and digital customer experience enhancement.
• Build financial models for cloud and AI cost, including unit economics, COGS, and spend forecasts with scenario and sensitivity analysis • Shape the commitment strategy (CSP, RI, EDP) by modeling savings and utilization risk • Design cost allocation and attribution methods for cloud and AI spend • Own and evolve the cost regression program and tooling • Drive cost optimization initiatives across teams and bridge engineering, finance, and executive leadership • Drive continuous improvement and operational excellence for FinOps pipelines and tools • Mentor and guide junior team members • Run FinOps tooling and cost data pipelines with monitoring, alerting, data-quality checks, and automation • Apply SRE practices to cost management, including budgets, thresholds, cost alerting, and blameless reviews • Quantify cost-reliability tradeoffs • Automate manual cost reporting and analysis • Contribute cost insights to the weekly LiveSite operational review
• Bachelor’s or Master’s in Computer Sciences, Engineering, Finance or related field (Ph.D. is a plus) • Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights • Track record of taking ownership and influencing results across engineering, finance and marketing • Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders • 7+ years of professional experience in data or software engineering roles • 2+ years of experience with cloud financial management or FinOps framework • Demonstrative ability to build and operate data pipelines with complex sources • Experience partnering with Finance/FP&A on budgeting, forecasting or gross-margin analysis • Operational expertise in high scale, reliable 24/7, multi-tenant global SaaS • Strong coding and debugging skills • Experience with Scala, Java, Golang, or Python (Scala experience highly beneficial)
• 100% remote work in Costa Rica • Optional office access in San José
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