Top Tech Jobs & Startup Jobs in Chicago, IL

Leads technical strategy and product adoption for major Retail and CPG enterprise accounts as Databricks’ primary technical voice. Partners with account executives, guides customers through data and AI transformations, builds technical champions, aligns solutions to business strategies, and mentors team members. Requires extensive pre-sales, big data, cloud, data science, programming, and production data systems experience.

Develop and execute marketing strategy for Databricks’ venture-backed startup segment. Own positioning, messaging, content, demand generation, account-based, partner, developer, and field programs that drive pipeline, adoption, consumption, and revenue. Build relationships with venture firms, accelerators, founders, developers, customers, and strategic partners. Improve product-led conversion from trials and technical evaluations to committed production spend, while enabling sales teams and strengthening technical credibility through content, communities, and events.

Drive Lakebase revenue within Financial Services accounts by identifying opportunities, leading complex enterprise sales cycles, and selling managed Postgres for operational and AI-driven applications. Engage technical and executive stakeholders, orchestrate proof-of-value initiatives, support migrations and Postgres standardization, enable account teams, and partner with Product, Marketing, Customer Success, ISVs, and GSIs on strategic go-to-market motions.

Solutions Architects lead the adoption of Databricks' platform, consult on big data architecture, and develop solutions for customers. This role involves technical leadership, prototyping, and building reference architectures while collaborating with sales and technical teams.

Lead transformation of global travel, expense, and corporate spend programs into a digital-first, automated model. Build scalable T&E strategy, oversee travel operations, manage suppliers and corporate card programs, implement AI-enabled expense automation and controls, ensure compliance and audit readiness, partner with cross-functional teams, and build a high-performing global team.

Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture and design decisions, develop end-to-end data pipelines and applications, integrate machine learning models, and guide enterprise customers through implementation and adoption. Collaborate with engineering, product, support, project managers, and customer stakeholders while delivering projects, documenting solutions, resolving issues, and creating reusable frameworks. Travel to customers approximately 20% of the time.

As a Solutions Architect, you will work on big data solutions, guide customers through implementation, and collaborate with teams on data engineering and science projects.

The Lakebase Sales Specialist drives revenue by promoting Databricks Lakebase, collaborating with various account teams and managing complex sales cycles to modernize operational data foundations.

Lead and coordinate high-severity production incidents for cloud-native services, drive root cause analysis and reliability improvements, own incident communications to stakeholders and customers, and mentor peers while maintaining incident playbooks and observability-driven diagnostics.

Customer-facing engineer who architects, builds, and productionizes data and AI solutions on the Databricks platform. Responsibilities include end-to-end system design, Spark-based data engineering, MLOps, cloud integration, stakeholder engagement, and delivering production-grade deployments with reusable assets and measurable outcomes.