Product Manager

Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint™ in hybrid environments—from on-premises to SaaS to containers to cloud. We’re transforming the software industry.  We’re Flexera.  With more than 50,000 customers across the world, we’re achieving that goal. But we know we can’t do any of that without our team.  Ready to help us re-imagine the industry during a time of substantial growth and ambitious plans?  Come and see why we’re consistently recognized by Gartner, Forrester and IDC as a category leader in the marketplace. Learn more at flexera.com Product Manager (PM) – Data & AI Infrastructure FinOps  Role Overview  We are seeking a highly strategic and execution-driven Product Manager (PM) to build and scale our Data & AI Infrastructure FinOps platform. This role will define and deliver next-generation cost visibility, workload optimization, and autonomous performance tuning experiences across Snowflake and Databricks ecosystems.  You will own the product strategy to unlock a $100B untapped opportunity at the intersection of Cloud Cost Optimization, FinOps, and AI-driven data infrastructure performance management.    What You’ll Own  1. Snowflake & Databricks FinOps Platform (Built From Scratch)  Define and launch a comprehensive FinOps experience across:  Snowflake  Databricks  Develop granular cost attribution models (warehouse, cluster, workload, team, query-level).  Build unit economics frameworks (cost per dashboard, cost per ML job, cost per pipeline).  Deliver budgeting, forecasting, anomaly detection, and cost governance workflows.  Create persona-based experiences (Data Engineering, BI, ML, Finance, Platform).    2. Visibility & Optimization Experience   Build best-in-class performance optimization:  Cluster/warehouse efficiency scoring  Idle/over-provisioning detection  Develop optimization recommendation engines:  Auto-sizing warehouses & clusters  Caching & materialization guidance  Storage & compute tuning insights  Establish measurable performance benchmarks to match/exceed competitors.    3. SQL & Spark Workload Visibility & Tuning  Create deep workload intelligence for:  SQL workloads   Spark workloads (ETL pipelines, streaming, ML training)  Deliver developer-friendly tuning guidance     4. Autonomous Optimization Agents   Define and ship AI-driven optimization agents capable of:  Continuous monitoring  Proactive cost/performance tuning  Automated remediation actions  Design closed-loop optimization systems  Define guardrails, explainability layers, and trust frameworks for autonomous actions.  Introduce simulation environments to preview cost & latency impact before changes.    Key Responsibilities  Own product vision, strategy, and roadmap execution.  Partner with Engineering, and GTM to deliver category-defining capabilities.  Define clear success metrics (Cost Savings %, Performance Gains %, Adoption, Autonomous Actions).  Conduct competitive benchmarking and differentiation strategy.  Translate deep technical complexity into clear customer value narratives.  Drive customer discovery with Data Engineers, FinOps leaders, Platform teams, and CIOs.    What We’re Looking For  Experience  6+ years in Product Management.  Strong experience/interest in:  Snowflake and/or Databricks ecosystems.  Cloud cost optimization or FinOps platforms.  Experience building 0→1 enterprise products.  Familiarity with AI/ML-driven automation systems.  Technical Depth  Strong understanding of:  Data & AI tooling  Cloud pricing models (compute, storage, I/O)  Ability to work deeply with engineering on system-level tradeoffs.  Strategic Capability  Ability to define and execute against large TAM opportunities.  Experience creating new product categories or reshaping existing ones.  Strong written & verbal executive communication skills.    Why This Role Matters  Data & AI infrastructure is becoming the fastest-growing line item in enterprise cloud spend. Yet FinOps tooling for data warehouses, lakehouses, and AI workloads remains immature. This role will define the next-generation optimization layer that sits between cloud providers and enterprise data teams — transforming reactive cost reporting into autonomous infrastructure intelligence.  Flexera is proud to be an equal opportunity employer.  Qualified applicants will be considered for open roles regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by local/national laws, policies and/or regulations.  Flexera understands the value that results from employing a diverse, equitable, and inclusive workforce. We recognize that equity necessitates acknowledging past exclusion and that inclusion requires intentional effort. Our DEI (Diversity, Equity, and Inclusion) council is the driving force behind our commitment to championing policies and practices that foster a welcoming environment for all. We encourage candidates requiring accommodations to please let us know by emailing careers@flexera.com.