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Tier-1 brand, mid-level product title, and broad cloud/FinOps skillset drive high applicant competition.
FinOps/cloud-cost skills are transferable across tech companies but require specific cloud finance/domain experience.
Explicit 4+ years requirement plus mandatory cloud, analytics, and automation skills increases filtering strictness.
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Manage cloud commitment programs across AWS, Azure, and GCP to maximize savings and minimize waste through monitoring and forecasting RI/SP, reservations, and committed use discounts.
Continuously analyze cloud usage and billing data to identify optimization opportunities such as rightsizing, idle resources, and storage/database improvements, maintaining an opportunity inventory and savings pipeline.
Develop and maintain AI-powered FinOps automation agents and recommendation engines to enhance cloud cost optimization and support automated remediation workflows.
4+ years experience as a Technical Product Manager focused on cloud, SaaS platform, or FinOps-related products.
2+ years experience with cloud cost drivers and optimization across Azure, AWS, GCP, Snowflake, Databricks, MongoDB, and data centers.
2+ years experience in data analytics related to cloud and on-prem optimization, including proficiency with SQL, data visualization tools (Power BI, Tableau, Looker), and advanced Excel skills.
Work Experience Required: 4+ years in relevant domain; Notice Period: Not explicitly mentioned in the JD.
Experienced in managing multi-cloud environments with strong technical execution in cloud financial management and optimization.
Proficient in building AI-assisted analytics and automation tools specifically for FinOps, indicating a strategic fit for innovation-driven cost management.
Skilled at translating complex technical and financial data into actionable product strategies to drive adoption and operational efficiencies across diverse engineering teams.