Top Tech Jobs & Startup Jobs in Chicago, IL

Build software infrastructure for large language model pretraining and post-training, including benchmarking, evaluation, routing, and backend systems. Contribute to model architecture, data curation, training, inference, alignment, and RLHF. Gather insights for compute roadmaps, make data-informed architectural decisions, and deliver iterative AI products in a fast-paced environment.

Manages a portfolio of medium-enterprise customers, develops executive relationships, drives cloud solution adoption, and achieves revenue, consumption, renewal, upsell, and cross-sell targets. The role coordinates Microsoft teams and partners, qualifies opportunities, leads account and renewal strategies, uses digital CRM and sales tools, resolves customer issues, and provides customer and industry insights. It also requires maintaining expertise in Microsoft solutions, technology trends, and assigned industries.

Leads a cybersecurity specialist sales team focused on selling cloud and security solutions, driving digital transformation, and achieving territory sales targets. Responsibilities include hiring, coaching, and developing technical sales talent; managing opportunity strategy and execution; guiding business-value selling; building partner networks; coordinating cross-organizational deployments; engaging senior stakeholders; and maintaining customer satisfaction, operational standards, sales metrics, training, and certifications.

Set the vision and roadmap for AI-powered skilling products, translating customer insights into measurable learning experiences. Lead prioritization across content, platform, telemetry, privacy, cost, and compliance; partner with Design and Engineering to launch trustworthy LLM-powered features. Drive product quality, experimentation, adoption, retention, enterprise partnerships, and cross-functional execution across multiple squads.

Lead architecture and implementation of high-performance vector search and semantic retrieval across Azure data products. Mentor engineers, collaborate with research teams, ensure scalability, testability, performance, and production readiness of libraries and embeddings-based solutions.

Drive technical sales for Microsoft’s cloud and AI data platform through demos, proofs of concept, hackathons, and architecture workshops. Advise enterprise customers on secure, scalable database and analytics architectures, migrations, and deployments. Build relationships with platform leaders, resolve technical blockers, collaborate with engineering, and promote Azure data technologies including Fabric, Databricks, Purview, and Azure databases.

Design and implement AI compiler features and optimization passes, using LLVM/MLIR and related tools. Develop code generation for new hardware, optimize AI workloads, and build AI software in C++ and Python. Collaborate with hardware architects and ML developers, define requirements, estimate effort, and drive coding standards and adoption.

Lead investigation and mitigation of complex distributed storage issues for Azure Managed Disks. Design algorithms for load distribution, monitor system behavior, debug performance and availability problems, collaborate across teams, mentor engineers, act as on-call DRI, and improve observability and reliability at hyperscale.

Design, build, and maintain highly distributed Azure cloud infrastructure services. Deliver new features, ensure high reliability and performance, monitor and alert on system health, act as DRI, and participate in on-call diagnostics and remediation.

Lead hardware strategy, performance architecture, and benchmarking for large-scale Microsoft 365 and AI workloads. Investigate performance, scalability, and efficiency across compute, GPU, memory, storage, networking, and accelerators. Partner with Azure and platform teams, build AI-assisted performance engineering tools, and influence cross-organizational architecture and infrastructure decisions.