Top Tech Jobs & Startup Jobs in Chicago, IL

The Senior Solution Engineer will collaborate with clients to develop scalable solutions, manage technical implementations, and enhance customer success through advanced computing technologies.

The role involves developing scalable backend services using Python, optimizing performance, integrating AI features, and collaborating with cross-functional teams.

Design, build, and maintain scalable ELT data pipelines and models to power reporting, analytics, and operational workflows. Troubleshoot data quality and performance, participate in incident response, support CI/CD deployments, collaborate with cross-functional teams, and contribute to data platform modernization and engineering best practices.

Own and scale the GTM tech stack (Salesforce, HubSpot, integrations), build AI-powered automations and data pipelines, ensure data quality and governance, and partner cross-functionally to optimize revenue processes and operational efficiency.

Manage a portfolio of healthcare market research clients, build long-term relationships, generate bids and proposals, consult on sample design, liaise with vendors and internal teams, support project timelines and issue resolution, and assist business development and finance functions.

Sell Everlaw's cloud-based eDiscovery SaaS to AmLaw 200 and enterprise legal customers. Own complex sales cycles from qualification through close, demo product to subject-matter experts, build and manage a pipeline, collaborate with SDRs and sales leadership, present needs analyses to senior stakeholders, meet quota targets, and travel domestically to engage clients.

The Controller at PushPress will manage the financial operations, lead revenue recognition, oversee cash flow, ensure tax compliance, and build financial infrastructure as the company scales.

The Senior Svelte Software Engineer will develop high-quality, scalable Svelte web components, collaborate on design systems, and ensure component reliability.

The Senior Technical Support Engineer will provide advanced technical support, manage critical incidents, troubleshoot complex issues, and enhance product quality through root cause analysis.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.