Top Tech Jobs & Startup Jobs in Chicago, IL

As an Enterprise Sales Engineer, you'll support sales growth through technical expertise, conduct product demos, manage projects, and provide technical solutions while meeting sales quotas.

The Sales Engineer I will assist the Global Sales Team with technical inquiries, conduct technical trials, manage product content, and support customer communications to ensure success in implementing Samsara's IoT solutions.

Own technically complex, mission-critical areas and define technical strategy for new products. Design and ship full‑stack, AI‑driven features end‑to‑end, build scalable data ingestion and API systems, partner with product/design/customer teams to translate ambiguous problems into measurable outcomes, mentor engineers, and raise engineering quality and standards across the organization.

The Staff Software Engineer will shape technical direction, build developer platforms, and design AI agents, enhancing developer productivity and collaboration across teams.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

Manage enterprise customer implementations of Samsara’s IoT platform, from deployment planning through adoption and value realization. Create launch roadmaps, track implementation progress and account health, conduct training and demonstrations, and resolve challenges with executives and end users. Coordinate with Sales, Support, Sales Engineering, and Product while managing multiple engagements. Mentor Customer Success and Support teams and build trusted stakeholder relationships.

Lead end-to-end product design for web and mobile, driving strategy, customer research, and execution. Ship high-impact designs, mentor teammates, collaborate closely with product and engineering, and engage customers to validate solutions that improve safety, efficiency, and sustainability across physical operations industries.

Lead teams building computer vision and machine learning for AI dash cameras, managing model lifecycle, coordinating with cross-functional teams, and driving AI product development.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

Lead and operationalize responses to subpoenas and eDiscovery demands; manage the end-to-end eDiscovery lifecycle; coordinate internal and external stakeholders; draft and improve policies and processes for customer data requests; monitor legal and regulatory developments; and act as project manager to drive litigation operations and legal tech–driven workflow improvements.