Top Tech Jobs & Startup Jobs in Chicago, IL

Administer and maintain CRM and GTM systems, manage integrations and data quality, co-administer DealHub CPQ, support system modernization and migrations, resolve revenue-blocking issues, and document and enable sales users.

Recruit and onboard industry Project Leaders to sponsor and guide student capstone projects, maintain a pipeline of ~20 annual projects across multiple majors, co-design project briefs and milestones, provide ongoing coaching and technical/platform support to leaders and students, track outreach and program metrics, serve as primary client contact, prepare progress reports, and escalate issues to ensure successful, competency-based capstone delivery in an online asynchronous environment.

Lead mechanical engineering execution of medium-to-large material handling and conveyor projects from design through installation. Provide technical leadership, review designs and contracts, manage deliverables and schedules, coordinate cross-functional teams, mentor engineers, resolve constructability issues, and drive continuous improvement.

Lead mechanical engineering for medium-to-large material handling and conveyor projects from design through installation. Provide technical leadership, ensure compliance with customer requirements, manage deliverables, schedules, change orders, and cross-functional coordination. Mentor project engineers, resolve technical and constructability issues, review engineering drawings, and drive continuous improvement in engineering quality and project execution.

Lead mechanical engineering for medium-to-large material handling and conveyor projects from design through installation. Provide technical leadership, ensure compliance with specifications, coordinate cross-functional teams, manage deliverables and schedules, perform 3D model and constructability reviews, mentor project engineers, and drive continuous improvement in engineering quality and project execution.

Generate and qualify B2B leads for robotic logistics technology, schedule meetings and demos, manage LinkedIn and HubSpot CRM, research industry trends and competitors, and collaborate with Sales to develop targeted opportunities.

Execute integrated demand-generation campaigns to support sponsorship, exhibitor, and marketing services sales. Manage campaign setup, QA, deployment, reporting, and optimization across email, webinars, paid media and content. Use CRM/marketing automation and AI tools for segmentation, personalization, and workflow automation. Write conversion-focused copy, support ABM, collaborate with sales and content teams, and drive marketing-sourced pipeline and performance reporting.

Provide geospatial and market intelligence to support leasing, marketing, investments, and development. Maintain geospatial datasets and trade areas, perform location-based analyses integrating internal and third-party data, build maps/dashboards/reports, and apply AI-enabled tools and automation to improve research, reporting, and decision support across the organization.

Architect and implement scalable Azure Lakehouse solutions (Databricks, Microsoft Fabric). Lead cloud data migrations, build ETL/ELT and streaming pipelines, enforce data governance and security, advise clients, run workshops, and mentor teams while managing multiple engagements.

Lead product strategy and roadmaps for partner and platform integration products. Own business cases, requirements, and cross-functional delivery with Engineering, Product Owners, Customer Success, and Commercial teams. Drive go-to-market, partnerships, and product performance using healthcare data expertise (claims, EHR) and Agile practices.

Hunt and close new enterprise clients for alternative consumer data products. Build pipeline via outbound prospecting, manage CRM, craft proposals, negotiate contracts, and hand off to client success while tracking market intelligence and sales forecasts.

Embed with enterprise customers to design, build, and deploy production generative AI applications on SambaNova hardware and SambaStack. Architect LLM workflows (RAG, agents, fine-tuning), optimize inference performance, troubleshoot across model/software/hardware layers, translate field needs to product teams, support technical sales and POCs, develop reusable reference architectures, and present results to customers and internal stakeholders.