Bachelor's Degree AND 5+ years experience in product/service/project/program management or software development
OR equivalent experience.
Knowledge in AI with some understanding of Large Language Model (LLM) skills; turns ambiguous ideas into working prototypes and measurable impact.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Bachelor's Degree AND 7+ years of experience in product/service/project/program management
OR software development
OR equivalent experience.
2+ years of technical product management experience.
Possess cross group and interpersonal skills necessary to articulate the business needs and importance of our security deliverables with experience working with data for analysis/insights.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Responsibilities
Leads Fabric Spark infrastructure deployment strategy and delivery in partnership with engineering to advance reliability, scale, security; aligns with partner teams to develop long-term roadmap for Spark infrastructure strategy.
Owns the Fabric Spark business model and unit economics (COGS); defines per-unit costs, partners with finance and engineering on storage/compute/control-plane drivers, and drives ongoing cost optimization and SKU/pricing guidance.
Establishes and evolves Fabric Spark fraud/abuse prevention and cost-protection controls; defines detection signals, guardrails, and response playbooks with security/compliance programs; manages change timelines and customer communication.
Serves as Go-to-Market (GTM) lead and Field liaison for Fabric Spark; equips sellers and architects with clear price-performance narratives, migration guidance, and competitive positioning; curates enablement assets and benchmarks.
Acts as the single-threaded capacity liaison; consolidates demand signals, forecasts by region/SKU, and aligns capacity adds with CSCP and engineering; publishes regular capacity-health views and drives cross-team decisions.
Transforms Product Management (PM) practice with Artificial Intelligence by operationalizing AI-assisted specs, telemetry reviews, customer-insight synthesis, and diagnostics; pilots AI-based troubleshooting and cost-optimization using Spark History/MCP data with engineering partners.