Top Tech Jobs & Startup Jobs in Chicago, IL

Manages post-implementation success, retention, renewals, and growth across enterprise healthcare accounts. Builds executive relationships, delivers quarterly business reviews, supports customer workflows and data use, and acts as a PatientIQ platform subject matter expert. Collaborates with implementation, product, engineering, and sales teams to communicate customer feedback, improve the product roadmap, identify expansion opportunities, and maintain documentation. Requires healthcare experience, strong communication and organization, technical aptitude, and at least 25% annual travel.

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Leads enterprise software engineering, solution architecture, data and reporting strategy for business applications supporting Human Capital, Finance, Supply Chain, and workforce management. Establishes roadmaps, engineering standards, governance, architecture, quality practices, and secure reporting capabilities. Directs cross-functional delivery, prioritization, lifecycle improvements, stakeholder alignment, and organizational development while hiring and managing engineering leaders and teams.

Owns pre-sale storytelling for Fandom’s category partnerships by developing persuasive, category-specific decks, narratives, and sales enablement materials. Translates audience insights, fan intelligence, products, and capabilities into scalable commercial solutions for advertisers across multiple industries. Partners with sellers, Insights, Product Marketing, Creative, and other teams to support proactive outreach, client pitches, and pipeline growth. Requires strong advertising solutions, storytelling, deck-building, category expertise, and generative AI experience.

Manages sales growth, retention, and client satisfaction for existing higher education customers. Sells software, services, and partner products; develops pipelines and campaigns; manages executive relationships, proposals, negotiations, upgrades, implementations, cloud migrations, and SSO projects. Coordinates project plans, milestones, resources, budgets, timelines, and post-sale support while collaborating with internal teams and applying analytics and AI-enabled tools responsibly.

Leads Magnit’s migration from on-premises infrastructure to AWS-based cloud platforms and builds an internal developer platform using Kubernetes, GitOps, CI/CD, and infrastructure as code. Oversees cloud foundations, reliability, observability, security, networking, FinOps, vendor management, and data center exit activities. Establishes SRE practices, drives platform adoption and developer experience, and leads global cloud, platform, SRE, and network engineering teams while partnering with executives and cross-functional organizations.

Design clear, accessible, responsive software experiences from user research and workflow analysis through implementation and review. Create flows, prototypes, interfaces, content, and edge-case behaviors in Figma; collaborate with product, engineering, and technology leadership; work within an existing design system; explain tradeoffs; review shipped implementations; and learn from real user behavior. Candidates may be junior through senior, with increasing ownership based on experience.

Develops and executes sales plans, manages national customer relationships, analyzes sales opportunities, oversees service levels, supports advertising, controls budgets, presents proposals, negotiates pricing, and manages pricing, promotions, and reporting. Requires food industry sales experience, strong communication skills, basic PC proficiency, and up to 45% travel.

Lead equity fundraising from Series B onward, build investor pipelines, negotiate term sheets, structure hybrid and non-dilutive capital, and develop strategic partnerships with industrial, logistics, compute, AI, and supply-chain companies. Own executive relationships, connect investments to commercial agreements, support public-exit readiness, and report pipeline and deal progress to senior leadership and the board.

Designs and optimizes scalable data platforms, architectures, and production pipelines supporting AI and machine learning. Responsibilities include Databricks Lakehouse development, batch and real-time processing, data governance, security, monitoring, performance tuning, infrastructure planning, and collaboration with DevOps, MLOps, and cross-functional teams. The role serves as the AI team’s data engineering subject matter expert and ensures reliable, secure, cost-effective data solutions.