Top Tech Jobs & Startup Jobs in Chicago, IL

Lead GTM business operations for Commercial and Mid-market segments: set strategy, advise sales leaders, own planning/forecasting, run cross-functional strategic projects, generate analytics and AI-driven insights, hire and lead a high-performing team.

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.

Own full-cycle enterprise sales for strategic accounts across TX/OK/LA/AR. Prospect, qualify, manage POCs and trials, negotiate multifaceted pricing, build C-level relationships, and close $100k–$500k deals while traveling monthly to meet customers.

Own the multi-year vision and end-to-end software install experience for Samsara devices. Drive install correctness metric, design guided install and verification flows in the Samsara Fleet app, build intelligence to verify hardware installs, provide fleet readiness visibility, run customer install observations, and translate findings into roadmap across hardware, firmware, and software.

Lead and grow a data platform engineering team to build and maintain a petabyte-scale data lake and infrastructure. Drive platform roadmap, scale systems globally, collaborate cross-functionally, and embed best practices for security, privacy, and AI transformation.

Design, build, and operate large-scale data platforms and Spark/PySpark pipelines. Enable data integration, modeling, quality, and observability. Build MCP servers and AI-augmented tooling, mentor engineers, and lead cross-functional projects to deliver reliable data products.

Provide Tier 2 hardware and software support for Samsara's IoT products, troubleshoot medium-to-high complexity issues, manage tickets, author knowledge base articles, partner with Engineering and Product teams, and meet SLA goals while supporting customers across hardware, mobile apps, APIs, and cloud services.

Lead detection, response, and digital forensics for security incidents. Monitor alerts, perform technical analysis, act as Incident Commander, build automation and runbooks, mentor engineers, and coordinate cross-team investigations and insider threat work.

Design, build, and maintain scalable Spark-based ETL pipelines and computed tables in a central data lake. Integrate structured and unstructured IoT, sensor, and external data for analytics, model training, and dashboards. Collaborate with Data Science, Analytics, and ML teams to ensure reliable, high-quality customer-facing datasets.

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.