Top Tech Jobs & Startup Jobs in Chicago, IL

Drives technical execution and engineering excellence across Azure AI infrastructure delivery, including provider buildout, engineering readiness, validation, Dock-to-Live activities, and customer onboarding readiness. Develops telemetry, metrics, dashboards, automation, AI-powered systems, and agentic workflows to improve predictability, reduce operational toil, resolve technical bottlenecks, and accelerate deployment of customer-ready cloud capacity. Partners with engineering and provider teams and communicates risks and recommendations to technical and executive stakeholders.

Owns the weekly Americas End-to-End Project Delivery Review, reconciling portfolio risk, schedule, capacity, and milestone data for executive decisions. Facilitates leadership reviews, manages dependencies and escalations, and improves reporting processes. Drives AI and automation adoption by building Power Platform solutions, Copilot-based agents, dashboards, and workflows. Maintains SharePoint information architecture, establishes governance and documentation, and trains teams to use automation effectively.

Leads Microsoft sales teams and go-to-market strategies to drive revenue, cloud consumption, customer value, and AI transformation. Builds executive and partner relationships, develops market and account plans, coaches teams, manages performance, and ensures secure, compliant sales execution. The role also oversees pipeline growth, strategic partnerships, customer satisfaction, talent development, and cross-functional alignment across Microsoft business segments.

Lead a regional ITIM Build team to deliver technical infrastructure for datacenter construction. Manage people, coordinate telecom/security/network installations, enforce safety and compliance, control budgets, align goals across stakeholders, and drive project delivery and reporting.

Lead cross-team technical programs for Azure Storage: define roadmaps, coordinate execution, design technical solutions, identify risks and mitigations, validate use cases and tests, collect metrics, and drive customer and stakeholder engagement.

Lead the Americas go-to-market strategy for Microsoft’s Agentic CRM portfolio, including Dynamics 365 Sales, Copilot, and agent-powered scenarios. Develop scalable sales motions, competitive plays, field enablement, and growth strategies that expand pipeline, adoption, revenue, and market share. Coordinate cross-functional execution across Sales, Marketing, Worldwide, partners, Azure AI, Power Platform, and other Business Applications teams. Analyze KPIs, optimize programs, support executive updates, and serve as the CRM competitive strategy expert.

Design and build petabyte-scale multimodal data pipelines and infrastructure (text, audio, images, video). Own and maintain systems like Spark, Ray, and vector databases, partner with pre/post-training teams to improve data recipes through experimentation, and support large-scale dataset storage and processing for AI model training.

Lead customer engagements to qualify and close cloud and AI opportunities on Azure. Drive sales strategy, pipeline hygiene, partner co-sell, and AI-driven forecasting. Collaborate across account teams, enable customer adoption and consumption, and act as trusted advisor to accelerate AI and cloud transformations.

Lead global SMB strategy and execution for Microsoft Cloud & AI Platforms: define product positioning, drive partner co-sell and field enablement, translate strategy into scalable operating models, govern performance, and evangelize SMB customer value. Collaborate cross-functionally to convert field insights into actionable plans and continuous learning to improve execution and revenue outcomes.

Serve as a customer-embedded technical leader aligned to a strategic account, driving business outcomes by building and shipping production-grade solutions, translating business needs into technical approaches, influencing senior stakeholders, preparing transitions to FDE crews, and operating with speed and entrepreneurial ownership in ambiguous, customer-facing environments.