Data & AI Go-To-Market Lead - Fabric Platform
Listed on Microsoft’s official careers site. Posted October 14, 2026. Check that it is still open and apply there.
Apply on Microsoft’s careers site →Job description
Working at the intersection of customers, field teams, and engineering, you'll turn real customer scenarios into engineering requirements and roadmap commitments. Product & Platform Resolution Translate complex customer and field scenarios into clear engineering requirements and priorities. Lead engagement with engineering leaders, product management, and partner general managers to agree on resolution plans, secure investment, and hold teams accountable for delivery.
Customer & Field Enablement Coordinate engineering, product, support, services, and go-to-market teams to unblock strategic customer opportunities and accelerate adoption. Provide technical scenario guidance to account and field teams, including practical workarounds, mitigation plans, and clear communication on delivery timelines. Report blocker status, risks, and resolution progress to senior leaders. Explain complex technical scenarios in business terms, with clear recommendations, decisions needed, and requests for support.
Business Impact & Insights Quantify the adoption, revenue, and competitive impact of product gaps to influence roadmap priorities and release decisions. Capture and synthesize customer, field, and partner insights, and track progress against agreed resolution plans and roadmap commitments. Bachelor's Degree in Business Administration, Marketing, Finance, Engineering, or related field AND 5+ years experience in business consulting, sales, sales operations, information technology (IT), account management, business development, marketing, IT field sales, or a related field OR equivalent experience. 6+ years experience in in Near Term Strategy (2 years out), Management Consulting, Sales, or Finance.
Experience with data and analytics platforms, including Databricks, Snowflake, BigQuery, and AWS, and migration from legacy data warehouses and BI platforms. Understanding of how enterprise data supports AI scenarios, Context, Agentic scenarios, and agent platform capabilities (observability, FinOps etc). Experience translating customer scenarios and technical blockers into product and engineering requirements and working across customers, field teams, engineering, and partners to drive resolution.
Go-to-market experience supporting strategic customer engagements and consumption-driven sales motions, with the ability to connect technical issues to commercial impact. Consulting or industry solution experience is a plus.
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