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. Withmore than 50,000 customersacross the world, were achievingthat goal.Butwe knowwe 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 whywe're consistently recognized by Gartner, Forrester and IDCas a category leader in the marketplace.Learn more atflexera.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 01 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.