Top Tech Jobs & Startup Jobs in Chicago, IL

Leads client consulting engagements by diagnosing business needs, structuring analytical approaches, integrating data, identifying trends, conducting quantitative analyses, and developing forecasts and recommendations. Translates complex analytical findings into clear stakeholder narratives and measurable marketing actions. Requires strong quantitative, communication, Excel, PowerPoint, and client-facing consulting capabilities, with experience in analytics, strategy consulting, marketing consulting, or related fields.

Consults with clients on marketing solutions by diagnosing business needs, preparing and analyzing multi-source data, identifying trends, developing forecasts and recommendations, and translating findings into actionable insights. Coordinates product delivery while managing scope, timelines, budgets, risks, and client satisfaction. Communicates complex analytical concepts through clear data storytelling and supports client adoption of analytics products.

Develop and test high-performance C++ applications for trading platforms. Collaborate with traders and experienced engineers to translate requirements into efficient solutions, while monitoring, profiling, and troubleshooting systems for reliability and stability. The role provides mentorship and exposure to the complete trading-system development lifecycle, including production support, performance tuning, multithreaded programming, and real-time systems.

Support expense planning, budgeting, forecasting, and performance analysis across departments and cost centers. Prepare variance reports, track KPIs, analyze operating expense drivers, and develop scenarios for resource allocation and cost-saving decisions. Partner with business leaders, Accounting, People, and Technology teams to improve financial visibility, reporting accuracy, and forecasting processes through standardized templates, automation, and financial systems.

Lead a small team while designing, operating, securing, and optimizing Snowflake and PostgreSQL data platforms. Own architecture, governance, access controls, performance, cost management, automation, Infrastructure as Code, CI/CD, monitoring, and production troubleshooting. Partner with security, infrastructure, analytics, ML, and AI teams to modernize the platform. Mentor engineers, set technical direction, support incident response, and drive reliable self-service through Terraform, Python, SQL, dbt, and related tools.

Leads Rundoo’s Implementation team, owning customer go-live performance, ARR attainment, resource allocation, forecasting, operating cadence, escalation processes, coaching, and cross-functional collaboration. The role builds scalable, client-centered implementation processes, improves forecast accuracy and capacity planning, and establishes accountability across Implementation Managers. Requires Chicago-based office work at least four days weekly and experience leading post-sale teams with measurable delivery or revenue targets.

Manage high-volume inbound homeowner leads through phone, chat, and email. Conduct needs-based discovery, explain water filtration solutions, recommend configurations, handle objections, close sales, maintain accurate CRM records, meet revenue targets, and identify upsell opportunities. Collaborate with marketing and product teams by sharing customer feedback while developing expertise in water quality, installation requirements, and competitive solutions.

Qualify inbound partner and prospect leads, conduct discovery conversations, assess business fit, route opportunities to appropriate business development or sales teams, and manage handoffs. Maintain CRM data hygiene, prioritize follow-up, resolve cases promptly, and use workflow tools to improve response times and prospect engagement. The role requires learning and communicating fintech, payments, blockchain, and digital asset concepts while collaborating with cross-functional teams.

Manages inbound partner and customer leads, responds within service-level agreements, conducts initial outreach, gathers qualification information, maintains accurate CRM records, routes leads to business development or sales teammates, and supports pipeline data hygiene. The role also uses CRM and AI-enabled tools for follow-up and prioritization and assists with qualified partner onboarding and activation.

Leads end-to-end planning, delivery, and global deployment of complex digital initiatives across Cat Central and eCommerce portfolios. Coordinates product, engineering, business, regional, and dealer teams; manages integrated plans, risks, dependencies, governance, readiness, go-live, adoption, and post-deployment validation. Provides stakeholder and leadership reporting while ensuring quality, customer outcomes, and continuous improvement across dealer-facing digital implementations.

Manages strategic relationships and sales growth for assigned government and enterprise accounts. Responsibilities include meeting quotas, identifying upsell and cross-sell opportunities, renewing contracts, selling business telecommunications services, managing forecasts and funnels, resolving customer issues, and coordinating with internal teams. The role requires executive-level engagement, account planning, customer retention, and achievement of revenue objectives.

Leads business and technical requirements analysis, business case development, process improvement, solution design, testing, implementation, and post-deployment optimization for Workday ERP systems. Partners with business leaders, architects, QA, IT, vendors, and project teams to deliver scalable solutions. Facilitates large-group meetings, mentors analysts, assesses system changes, and recommends continuous improvements across Workday modules.

Develop causal inference analyses and economic models using Mastercard and public datasets. Translate business questions into empirical designs, build and validate econometric and machine learning models, lead projects from data ingestion through stakeholder communication, guide causal inference best practices, prototype scalable analytics, and collaborate with clients and internal teams. Required expertise includes Python or R, SQL, quasi-experimental methods, causal machine learning, experimentation, and clear communication of technical findings.