Top Tech Jobs & Startup Jobs in Chicago, IL

Lead strategic enterprise account teams to drive digital transformation, customer adoption, revenue growth, and Microsoft solution consumption. Build executive relationships, develop account and business plans, present value propositions, close complex agreements, and coordinate cross-functional teams to achieve customer and Microsoft business outcomes across AI, Copilot, Security, and the broader Microsoft portfolio.

Leads Microsoft customer commercial strategy, negotiations, deal execution, revenue growth, and compliance. Develops pricing and negotiation strategies, aligns Sales and Finance stakeholders, proposes commercial solutions, addresses customer concerns, and builds trusted executive-level relationships. Analyzes financial and commercial risks, identifies opportunities for offerings such as Copilot, and manages complex licensing and commercial agreements.

Directs business operations for Global Commercial Strategy & Operations, partnering with the VP and leadership team to manage business rhythms, planning, budgets, headcount, prioritization, communications, culture, and organizational alignment. Leads complex cross-functional initiatives, staff meetings, employee engagement, inclusion programs, and strategic workstreams while advocating for team needs across marketing, sales, engineering, finance, and other functions.

Conducts econometric, causal, statistical, and optimization analyses to improve operational efficiency, resource allocation, product performance, and business outcomes. The role defines efficiency measures, develops forecasting and optimization tools, partners with product and engineering teams on data instrumentation and implementation, and communicates findings to executives through clear reports.

Lead end-to-end segmentation strategy for Microsoft Advertising, translating business priorities into coverage, capacity, and resource-allocation models. Build measurement frameworks, analytical models, and cross-functional alignment to operationalize segmentation into territory design, quota and capacity planning. Advise senior leaders and continuously refine models using data-driven insights to drive growth.

Leads global systems integrators through Microsoft Cloud and AI solution development, architecture, proof-of-concepts, MVPs, technical workshops, and customer activation. Provides technical sales enablement, resolves design blockers, guides scalable and secure solutions, builds executive partner relationships, and drives adoption, revenue, and workload consumption. The role also develops repeatable offerings, measures impact, and shares technical knowledge across the organization.

Customer-facing Cloud Solution Architect driving security transformation on Azure and Microsoft 365. Design and implement security architectures (Identity, Threat Protection, Cloud Security), run design sessions, perform hands-on evaluations of Defender, Sentinel, and Azure AD, and influence product and engineering teams to improve customer security posture and adoption.

Serves as a senior technical advisor for Azure customers, leading discovery, solution architecture, demonstrations, proofs of concept, and production-readiness engagements. Translates business and AI requirements into secure, scalable Azure plans, removes technical blockers, influences decision makers, and accelerates cloud adoption and consumption. The role also develops partner relationships, supports co-selling, provides technical training, shares customer insights with product teams, and mentors others on Microsoft cloud solutions.

Design, build, and operate AI-powered automation, CI/CD systems, distributed services, developer tooling, and code-intelligence platforms. Own significant capabilities from architecture through production, improve engineering workflows using measurable evaluations, scale reliable automation and delivery systems, and operate secure multitenant services. Lead technical reviews, define reliability practices, integrate platforms through APIs and MCP, mentor engineers, and drive ambiguous technical problems to dependable production outcomes.

Design, implement, and ensure quality of systems stack, tools, and SDK integration for AI frameworks. Collaborate with hardware and ML teams, apply engineering principles, write low-level/high-performance code, define architecture, estimate scope, and drive coding standards.