Top Tech Jobs & Startup Jobs in Chicago, IL

Provides bilingual Portuguese customer support by answering inquiries, explaining products and services, troubleshooting issues, resolving complaints, and documenting customer interactions. Maintains current product knowledge and delivers professional service remotely. Candidates must be U.S. residents, at least 18, have a high school diploma or equivalent, pass background and drug screenings, and meet specified home-office technology requirements.

Own the product vision, strategy, roadmap, prioritization, and lifecycle for solutions supporting caregiving members, internal care teams, and clients. Lead user discovery, interviews, experiments, data analysis, requirements definition, and cross-functional execution with engineering, design, and data teams. Identify opportunities for AI and emerging technologies, define success metrics, track performance, and deliver high-impact products from ideation through launch and sunset.

Lead partner-led marketing initiatives: design and execute GTM strategies, manage MDF-funded campaigns and agencies, enable partners with playbooks and training, drive demand generation, measure performance, and optimize campaigns to maximize ROI.

Own SEO and AI-search visibility strategy for 6–12 B2B client accounts, translating performance data into prioritized plans and content strategies. Lead quality assurance, coach analysts, support hiring and performance decisions, and monitor visibility across traditional and AI search platforms. Partner with account and project managers on budgets, capacity, client communication, and recommendations. The role also helps establish CGM’s AEO/GEO measurement framework and playbook.

Lead AMER partnerships for Sitetracker by building strategic alliances with SIs, consultancies, and ISVs. Drive partner-sourced and partner-influenced revenue through joint business plans, co-selling, account mapping, GTM enablement, and regional partner activation. The role manages strategic prioritization, governance, escalations, and ecosystem expansion across the US, Canada, and LATAM, with responsibility for achieving ambitious ARR targets and developing Salesforce ecosystem relationships.

Lead the design and delivery of complex automated material handling systems, including conveyors, sortation, pallet handling, AS/RS, robotics, and integrated technologies. Evaluate customer requirements, develop system layouts, drawings, technical proposals, cost estimates, documentation, and bills of material. Support projects from concept through execution and integration, coordinate with customers, suppliers, and subcontractors, conduct site visits, review technical work, and mentor engineering team members.

Lead enterprise customer onboarding and software implementations, translating business requirements into system designs and guiding launches through project milestones. Train customers and internal teams, manage VP and C-suite stakeholders, resolve implementation challenges, and collaborate across Support, Integration, Product, and Sales. Drive continuous improvement, change management, and customer success while working with configurable QMS and frontline-worker software in regulated industries.

Supports the Data Science and Machine Learning team by analyzing large-scale datasets, identifying anomalies and root causes, developing data validation and normalization methods, and improving the accuracy of derived data products. The intern will evaluate models, translate ambiguous problems into statistical formulations, debug messy data, test hypotheses, and implement maintainable analytical solutions using Python, SQL, and distributed data platforms.

Design and maintain scalable services, APIs, distributed systems, and data pipelines for AI training data infrastructure. Own systems through design, implementation, testing, deployment, and monitoring. Lead architectural decisions, improve reliability and scalability, mentor engineers, and collaborate with AI/ML, product, and data operations teams. Contribute to CI/CD, containerization, DevOps, and cloud deployment practices.

Designs, develops, integrates, deploys, and supports FIS Systematics Advanced Lending System solutions. Leads cloud, enterprise application, infrastructure, and systems integration initiatives; defines requirements, architectures, specifications, testing, and deployment plans. Provides technical leadership, mentoring, troubleshooting, risk mitigation, governance, documentation, and operational support across distributed environments. Collaborates with IT teams, vendors, and testing teams to deliver compliant, scalable solutions and improve system performance.