Top Tech Jobs & Startup Jobs in Chicago, IL

Manage Prolaio’s full contract lifecycle, including drafting, reviewing, negotiating, processing, execution, renewals, and terminations. Track obligations, deadlines, risks, and performance metrics; support CLM implementation and process improvements; and serve as a contracting liaison to business leaders, vendors, consultants, clinical sites, and partners. The role also provides contract guidance, supports strategic initiatives, and ensures compliance with laws, regulations, and internal policies.

Build GC AI’s technical sourcing program from the ground up. Partner with the CTO and hiring managers to define profiles, source senior engineering and AI talent, create talent maps and outreach sequences, manage candidates through virtual onsite handoff, track funnel metrics, and develop repeatable sourcing playbooks. The role requires strong technical fluency, especially in AI, advanced sourcing skills, and experience building recruiting infrastructure at a high-growth startup.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.

Own the full B2B sales cycle for Hireology’s healthcare SaaS opportunities, including prospecting, qualification, product demonstrations, solution definition, contract negotiation, and closing. Build and manage a territory pipeline, consistently meet sales quotas, and represent the company at trade shows and conferences. The role requires strong communication, a metrics-driven mindset, and the ability to develop customer relationships and compelling product presentations.

Owns strategic accounts for cloud service providers and large named customers. Develops account plans, sales pipelines, business strategies, and complex solution opportunities; builds executive relationships; coordinates internal and external partners; negotiates value and pricing; manages forecasts, reporting, margins, quotas, and end-to-end sales processes to drive profitable revenue growth.

Leads and scales Square’s Central Region Field Sales organization, managing Sales Managers and Territory Account Executives. Responsibilities include territory and go-to-market strategy, pipeline and KPI management, field coaching, consultative selling, product expertise, team development, cross-functional collaboration, and regional revenue growth. The role builds a competitive, accountable, high-performing sales culture while representing Square with local business leaders and partners.

Leads product planning and execution for assigned clients, translating client and market requirements into product features, business requirements, statements of work, and roadmaps. Partners with technology, development, analytics, support, marketing, and account teams throughout delivery. Acts as a product subject-matter expert, manages client communications, supports beta programs, monitors project KPIs, and helps define product vision, positioning, and customer value.

Drive new enterprise business across assigned global accounts by generating pipeline, engaging IT, science, and data stakeholders, forecasting sales, presenting solutions, negotiating complex deals, and closing new business. Build relationships across multiple personas and executive levels, manage account data in Salesforce, collaborate with marketing, product, customer success, and partners, and apply structured sales methodologies such as MEDDICC to achieve revenue targets.

Negotiates delinquent accounts on behalf of clients to achieve debt savings. Builds relationships with external partners, oversees client finances, determines account strategies, consolidates debts to improve negotiation leverage, manages account queues, and addresses client inquiries. The role requires strong communication, organization, teamwork, client focus, and technology proficiency, with Salesforce or similar CRM experience preferred.

Conduct quantitative research for algorithmic trading and market-making strategies. Design, test, deploy, and monitor models supporting pricing, risk, and execution. Build research and backtesting tools, analyze large datasets and model outputs, and collaborate with traders, developers, and senior researchers to translate hypotheses into production trading decisions. Continuously improve strategies based on market dynamics, data drift, and performance results.