Top Tech Jobs & Startup Jobs in Chicago, IL

Drive digital transformation and revenue by managing medium-enterprise accounts: build CxO relationships, generate pipeline, manage territory and forecast, coordinate partners and v-teams, and maintain Microsoft product and cloud/AI expertise to upsell, renew, and maximize customer outcomes.

Leads Site Reliability Engineering teams responsible for reliability, availability, incident response, disaster recovery, automation, telemetry, security, and compliance for Microsoft Substrate services in regulated environments. Establishes SLOs and SLIs, drives operational excellence, participates in on-call rotations, leads post-incident improvements, develops senior engineers, and influences cross-organizational engineering strategy.

Lead customer-facing architecture and delivery of secure, scalable Azure cloud, data, AI, and agent solutions from proof of concept through production. Engage technical and business leaders, guide governance, security, reliability, performance, and cost optimization, resolve delivery blockers, and drive customer adoption. Develop reusable architectures and accelerators, deliver technical workshops, support partners, generate cloud pipeline, and share expertise across Azure AI Foundry, Fabric, Databricks, GitHub, databases, application platforms, and DevOps.

Manages strategic customer accounts, develops and executes account plans, drives Microsoft revenue and solution adoption, and leads digital transformation engagements. Builds executive relationships, identifies upsell and cross-sell opportunities, coordinates internal teams and partners, addresses customer risks, and presents value propositions aligned with customer business objectives. Maintains strong knowledge of Microsoft’s solutions and assigned industries while achieving revenue, consumption, and customer satisfaction targets.

Develops and executes business strategies for the GitHub developer business, analyzes market and competitive trends, identifies growth opportunities, creates strategic planning materials, and leads cross-functional initiatives. The role aligns engineering, sales, marketing, finance, business planning, and partner stakeholders while providing data-driven recommendations to senior leadership.

Designs and engineers outside plant optical fiber routing for metro, regional, long-haul, subsea, and Lit Wave connectivity. Responsibilities include reviewing vendor designs, conducting site walks, permitting, quality inspections, interpreting road and engineering plans, analyzing fiber test results, ensuring route diversity and standards compliance, and maintaining cable records. The role collaborates with sourcing, delivery teams, vendors, and internal departments to deliver Microsoft’s global cloud network infrastructure.

Lead architecture and engineering for Microsoft’s enterprise Insider Risk platform. Build scalable, secure, privacy-conscious systems supporting risk modeling, behavioral analytics, detections, monitoring, investigations, workflows, and case orchestration. Partner with security, legal, HR, privacy, data science, and business teams to address complex risk scenarios. Drive technical strategy, align cross-team delivery, mentor engineers, and uphold reliability, confidentiality, compliance, and responsible data-use standards.

Own product strategy and multi-year roadmaps for GPU back-end networking. Translate AI workload needs into requirements, lead products through qualification and deployment, coordinate engineering and business teams, influence suppliers, and improve performance, reliability, cost, observability, and launch readiness.

Own customer-facing technical and business relationships for AI Business Process solutions. Advise customers on Dynamics 365, Power Platform, and Copilot Studio architecture, implementation, governance, performance, cost efficiency, and operational health. Lead architecture sessions, proof-of-concept development, legacy modernization, technical issue resolution, and partner collaboration to accelerate adoption and customer outcomes.

Build and optimize distributed systems supporting large-scale reinforcement learning, LLM post-training, inference, and production AI workloads. Develop reliable platform services, improve researcher iteration loops, debug model-hardware interactions, optimize performance, and enhance observability, security, scalability, and operational reliability. Participate in architecture, coding, incident response, deployment planning, and on-call support. Required qualifications include a technical bachelor’s degree or equivalent experience and at least two years of software engineering experience.