Top Tech Jobs & Startup Jobs in Chicago, IL

Lead Facilities Category Management team to develop category strategies, preferred supplier programs, and supplier performance metrics. Drive cost savings and EBITDA growth via IFM and MRO procurement, partner with business leaders, Legal and Risk, and support client pitches and reviews. Coach and develop staff, implement continuous improvement, and use data analytics to optimize third-party spend and commercial arrangements.

Senior technical leader responsible for designing and implementing scalable Databricks/Azure data architectures, building high-scale pipelines, embedding across teams to unblock delivery, mentoring engineers, and defining engineering standards and best practices for enterprise data platforms.

Provide HR leadership and strategic support to hotel executive committee and employees. Drive employee engagement, talent acquisition, performance management, training, labor and employee relations, compliance with employment laws and corporate policies, conduct investigations, coach managers, and oversee HRIS-driven processes to support operational and cultural goals.

Develop, migrate, and enhance AI/ML applications using LLMs and agent-based systems. Build features with Python backend and React frontend, perform SQL data analysis, deploy to GCP (BigQuery, Cloud SQL), and iterate on Generative AI, RAG, and semantic search solutions while collaborating with stakeholders.

Lead product ownership for Echo's proprietary transportation platforms: elicit requirements, design solutions, create user stories and acceptance criteria, collaborate with engineering/QA/UX/DevOps, support releases and production issues, mentor juniors, and drive process improvements.

Develop, enhance, and maintain the company's e-commerce microservices platform. Own service components, estimate and plan work, interpret requirements, navigate a large codebase, implement technical solutions, write unit and automation tests, assist support during incidents, and work with relational databases and frontend React integrations.

Lead Gong's global equity administration including stock options, RSUs, compliance, IPO readiness, and collaboration with Legal, Finance, and HR.

Design, build, and maintain production ETL/ELT pipelines, analytics-ready data models, and cloud data infrastructure. Improve pipeline performance, data quality, governance, and migrate legacy systems to modern platforms. Collaborate with stakeholders to translate business requirements into reliable data products for project, financial, and operational analytics.

Lead revenue-generating Customer Success organization to drive net revenue retention and expansion ARR. Own expansion quota, build CS-as-revenue playbooks and incentives, manage strategic accounts, lead three teams (Enterprise CS, Specialty CS, Outcomes Research & Registries), partner with sales, and oversee headcount and capacity planning to grow NRR to 120%+.

Design, build, and operate reliable cloud infrastructure and networking (multi-account AWS, VPC, IAM). Implement IaC, CI/CD pipelines, observability (logging/metrics/alerting), automation, and reliability guardrails. Provide production support and incident response, perform root cause analysis, and collaborate with application teams to co-own system design and continuous improvement, using AI-assisted tools where appropriate.

The P&C Actuarial Assistant will assist in reserving insurance business projects using actuarial standards, analyze data, and communicate results to management.

Lead design and build of AI-powered observability and AIOps platforms: agentic AI agents, predictive insights, automated remediation, integrations with observability tools, developer-first tooling, cloud-native scalable services, and end-to-end automation across hybrid environments. Serve as technical lead, define enterprise architecture, drive CI/CD and IaC practices, mentor engineers, and collaborate with cross-functional teams to improve reliability and incident response.

Lead product vision, discovery, and roadmap for one or more digital products. Use customer research, market analysis, and data to prioritize backlog, run test-and-learn experiments, define success metrics, and coordinate go-to-market. Mentor cross-functional teams and represent the voice of the customer throughout the product lifecycle.