Top Tech Jobs & Startup Jobs in Chicago, IL

Leads creative technology initiatives by building AI agent pipelines, MCP servers, plugins, generative video systems, and voice agents. Designs AI architectures, prototypes emerging technologies, develops scalable creative systems, and optimizes tools and campaigns using tracing and agent analytics. Partners with clients and cross-functional teams, presents to executive stakeholders, mentors team members, and balances brand, audience, business, creative, and technical objectives.

The Robotics Engineer will design, configure, troubleshoot robotic systems and support electrical/software design, ensuring compliance with safety standards and optimizing production processes.

Provides technical and sales support for filtration and pressure equipment applications. Designs and sizes equipment, interprets engineering standards and customer specifications, prepares quotations and cost estimates, supports sales teams and distributors, coordinates with manufacturing and drafting, and develops cost-effective solutions. Requires expertise in pressure vessels, piping, pressure equipment design and manufacturing, and filtration processes. Travel is up to 50%.

Lead and mentor National Sales Directors across U.S. territories, execute go-to-market strategy, drive enterprise SaaS and IoT revenue, manage key customer pursuits and negotiations, oversee forecasting and pipeline reporting, and collaborate cross-functionally to improve growth and customer lifecycle outcomes.

Support engineering teams by tracking schedules, milestones, documentation, budgets, invoicing, resource forecasts, and project risks across multiple engagements. Coordinate with discipline engineers and Team Leads, maintain operational organization, communicate project updates, and help improve processes. Senior-level responsibilities may include supporting multiple Team Leads and mentoring junior project managers. The role is fully remote and may involve international travel.

Leads the Treasury engineering team while remaining hands-on with coding, architecture, production monitoring, and incident response. Owns technical strategy for financial infrastructure, including ACH transfers, card issuing, QuickBooks integration, payment tools, wallets, rewards, and financial dashboards. Manages and mentors engineers, improves engineering workflows, ensures security and reliability, and partners with the VP of Engineering on product delivery and scalable team practices.

Leads the design, development, deployment, and operation of scalable machine learning solutions and high-performance microservices. Builds real-time inference systems using Triton and TensorRT, guides distributed cloud architectures, participates hands-on in coding and reviews, and mentors engineers. Drives technical strategy, operational excellence, system resilience, and business-wide innovation across generative AI, graph machine learning, and big data initiatives.

Leads bid-to-execution governance across the Americas, validating technical, commercial, contractual, financial, capacity, supply chain, and delivery readiness before order booking. Owns Sales-to-Project handovers, risk mitigation, profitability reviews, approvals, dashboards, lessons learned, and continuous process improvement. The role requires extensive cross-functional leadership across Sales, Engineering, Operations, Supply Chain, Finance, Legal, and Project Management in an engineered-to-order or capital equipment environment.

Own paid media strategy, campaign setup, optimization, measurement, reporting, and budget pacing, beginning with Meta and expanding to other channels. Analyze performance to improve CAC, ROAS, lead quality, revenue, and profitability. Maintain tracking infrastructure, run structured tests across creative and funnels, and provide actionable reporting and channel-expansion recommendations. This remote, hands-on senior individual-contributor role requires collaboration with marketing and sales teams and no travel.

Own production reliability across Azure, colocation, and edge Kubernetes environments. Build observability, alerting, automated recovery, high-availability architectures, deployment automation, and cost optimization. Lead incident response, troubleshoot distributed systems, improve disaster recovery and operational maturity, support platform lifecycle management, and mentor engineers. Participate in separate weekday and weekend on-call rotations for customer-facing systems.