Top Tech Jobs & Startup Jobs in Chicago, IL

Lead and scale Databricks' global web marketing function: build a product-focused team, modernize web properties for humans and AI agents, implement personalization and testing, apply AI to automate web workflows, ensure machine-readable content and strong information architecture, drive analytics-informed growth, manage vendors, and coordinate global marketing efforts.

Design and maintain a skill and concept graph, build ML models to infer learner skills, and develop recommendation systems and LLM-driven features. Ship production-ready LLM systems, define explainability standards, partner with frontend and product teams, and monitor model performance and evaluation frameworks.

Build and lead a global Generative Engine Optimization function to increase Databricks visibility across AI answer engines and organic search. Own strategy, experimentation, measurement, technical SEO, cross-functional execution, and hiring to drive AI-referred traffic, conversions, and pipeline.

Lead end-to-end technical strategy and architecture for accounts, drive Databricks platform adoption, design scalable data and ML/streaming solutions, advise senior technical stakeholders, coordinate cross-functional teams, influence product direction, and support production deployments on public cloud.

The Emerging Enterprise Sales Leader will oversee a team focused on selling to the Emerging Enterprise Segment, driving revenue success, building strategic plans, and developing long-term customer relationships.

Lead Databricks' global strategic partnership with Accenture, managing a global alliance team to grow revenue, scale the Accenture Databricks Business Group, drive joint go-to-market programs, executive engagement, training, repeatable IP investments, and joint customer adoption across AMER, EMEA and APAC.

Act as the field product manager for high-value AI engagements: partner with Sales to scope C-suite problems, define MVPs and PRDs, prioritize engineering backlogs, run agile delivery, lead launch and adoption, and hand off ongoing operations while proving ROI.

Lead a regional team of Lakebase Sales Specialists to grow Databricks Lakebase revenue by executing specialized sales motions, coaching specialists, building pipeline, engaging CIO/CTO and platform engineering buyers, running architecture workshops, partnering with account teams and partners, and providing field feedback to Product and GTM to scale adoption and drive application modernization.

Drive Lakebase adoption and revenue by qualifying opportunities, running multi-threaded sales cycles and POCs, engaging technical and executive stakeholders, partnering with AEs and solution architects, enabling field teams, and shaping territory plans to standardize Postgres and operational databases for AI-native applications.

Customer-facing engineer who designs, builds, and productionizes GenAI applications (RAG, multi-agent, Text2SQL, fine-tuning). Own production rollouts, advise customers, collaborate with product and engineering, present at conferences, and optimize/evaluate models and deployments across cloud platforms.