Top Tech Jobs & Startup Jobs in Chicago, IL

Lead customer-facing technical engagements spanning discovery, solution design, architecture reviews, proofs of concept, and platform demonstrations. Build production-quality data solutions and reusable technical assets using Python, SQL, cloud platforms, distributed data systems, analytics, and machine learning technologies. Partner with Account Executives to develop account strategies, expand platform adoption, and communicate Databricks’ differentiation.

Provides U.S. and global employment-law advice on compensation, benefits, pay equity, recruiting, mobility, immigration, employee privacy, HR AI, and M&A. Drafts employment documents, supports disputes, leads cross-border projects, advises on workforce technology and AI governance, monitors legal developments, and develops scalable legal processes. Partners with People, recruiting, privacy, tax, security, corporate development, and regional legal teams in a fast-moving technology company.

Leads complex enterprise architecture engagements, technical and consumption strategy, executive customer relationships, platform adoption, competitive evaluations, and AI/data solutions. Serves as a Databricks technical authority, orchestrates cross-functional teams, mentors solutions architects, develops competitive strategies, and contributes to field engineering thought leadership. Responsibilities span enterprise migrations, real-time systems, lakehouse platforms, data governance, and AI/ML at scale.

Lead and grow an enterprise sales team responsible for quota attainment, new-logo acquisition, Databricks usage growth, forecasting, and customer outcomes. Build trusted customer and partner relationships, develop enterprise territories, promote value-based selling, and foster a high-performance culture. The role requires leading account executives in Big Data, cloud, analytics, and AI markets while supporting regional growth plans and partner ecosystems.

The Startup Account Executive will prospect for and close new startup accounts while expanding existing customer relationships. Responsibilities include building territory plans, prioritizing accounts, communicating the Databricks Lakehouse vision, managing transactional and strategic sales cycles, achieving pipeline and revenue targets, and maintaining accurate Salesforce and Clari records. The role requires at least one year of closing experience, preferably in big data, cloud, or SaaS sales, along with a demonstrated history of exceeding quotas.

Build customer relationships and demonstrate Databricks’ AI and data analytics platform through prototypes, demos, reference architectures, workshops, and technical guidance. Collaborate with Account Executives to drive adoption, advise customers on architecture and implementation, and develop expertise in data and AI solutions. This is an in-office role based in Chicago, Illinois.

Prospects and closes net-new enterprise accounts for Databricks’ cloud data platform. Develops account strategies, engages buying centers, identifies use cases, communicates technical and business value, orchestrates internal teams, negotiates deals, and exceeds sales quotas. The role requires SaaS, cloud, or big data sales experience, executive relationships, and the ability to sell complex technology to digital-native customers.

Leads complex enterprise customer engagements as a technical authority for Databricks data and AI solutions. Drives architecture, platform adoption, consumption strategy, competitive positioning, and executive relationships. Designs large-scale data, streaming, migration, governance, and AI/ML solutions; orchestrates cross-functional teams; mentors other solutions architects; and contributes to technical thought leadership. Requires advanced coding, enterprise data architecture expertise, Databricks proficiency, strategic account leadership, and executive communication.

Own customer-facing AI and data engagements from discovery through production launch. Define business value, pilot MVPs, success criteria, and product requirements; prioritize engineering backlogs; lead technical discovery and architecture discussions; manage agile delivery, testing, security, performance, adoption, and stakeholder alignment. Partner with executives, sales, and engineers to deliver production-ready solutions and identify follow-on opportunities.

Perform inbound and outbound prospecting to build pipeline, partner with sales to develop territory strategy, identify Databricks use cases to grow consumption, and deliver a strong customer experience through solution-focused outreach and follow-up.