Top Tech Jobs & Startup Jobs in Chicago, IL

Provides remote, onsite, and customer-site technical support for laboratory automation platforms. Manages customer cases, troubleshoots software, hardware, networking, robotic, and database issues, deploys and debugs integration code, performs upgrades and configuration changes, trains customers, collaborates with field and internal teams, and documents resolutions and process improvements.

Lead account strategy and execution for an education-focused client. Manage timelines, budgets, and cross-functional teams; review and elevate creative; guide campaigns across paid, earned, owned, and social channels; use AI tools to streamline workflows; maintain client and internal communications and quality control.

Leads marketing operations within Revenue Operations, overseeing HubSpot and Salesforce architecture, campaign setup, integrations, data integrity, lead-flow optimization, reporting, analytics, and dashboards. Partners with demand generation, sales operations, sales, product, and customer success teams to improve revenue processes, implement technical solutions, and scale marketing infrastructure. The role also manages cross-functional priorities and supports continuous process improvement in a fast-paced startup environment.

The Customer Success Manager will enhance provider customer relationships, drive solution adoption, manage customer lifecycle, and promote renewals through strategic guidance and operational excellence.

Lead product-focused technical sales and implementation for an AI-powered life sciences platform. Conduct discovery, enterprise pitches, demos, RFPs, solution design, integration scoping, prototyping, and technical specifications. Translate client goals into scalable deployments, distinguish bespoke work from core product capabilities, and collaborate across Commercial, Client Services, Product, and Engineering. Build reusable AI-assisted solutioning workflows and potentially establish and lead a Forward Deployed Engineering team.

Lead consultative discovery and solution design for complex ERP sales opportunities in the construction sector. Develop tailored software demonstrations, translate customer requirements into commercially viable solutions, and engage senior stakeholders. Collaborate with Sales, Product, Professional Services, and Marketing on proposals, feasibility, and strategy. Provide market insight, create reusable demonstration frameworks, mentor colleagues, and use AI-enabled tools to improve sales effectiveness and customer experience.

Leads Splash’s global financial strategy, sustainability, budgeting, forecasting, reporting, compliance, risk management, audits, tax, internal controls, and financial systems across U.S. and international operations. Advises the CEO, Board, and country leaders on blended finance, government co-financing, reserves, liquidity, donor restrictions, and multi-country expansion. Builds scalable finance processes, strengthens reporting and controls, and leads the global finance team while partnering cross-functionally in complex low- and middle-income-country environments.

Owns the end-to-end development of cybersecurity vulnerability and exploit prediction models, including problem framing, feature engineering, training, evaluation, deployment, calibration, monitoring, and drift detection. The role addresses extreme class imbalance, hierarchical modeling, cold-start customers, and uncertainty quantification. It also requires explaining model outputs to security executives, publishing methodologies and benchmarks, and partnering with engineering to deploy reliable production systems.

This role involves analyzing EHR and insurance claims data to define clinical outcomes, developing AI models, and collaborating with technical experts for manuscript preparation.

Design, build, and deploy production agentic AI systems for internal operations and client-facing services. Own AI architecture, agent orchestration, integrations, deployment pipelines, governance, monitoring, and continuous improvement. Develop productized AI offerings, evaluate emerging platforms and LLMs, define KPIs, and connect deployments to measurable business outcomes. Collaborate with executive and engineering teams while establishing the foundation for a scalable AI practice.