Top Tech Jobs & Startup Jobs in Chicago, IL

Manage named enterprise accounts to drive adoption, retention, and expansion of Multiplier's global hiring platform. Build trusted relationships, monitor product usage, identify growth opportunities, coordinate cross-functional teams, and relay customer feedback to shape product roadmap.

Drive revenue by managing and expanding relationships with Fortune 500 and other B2B customers in the electronic components market. Prospect new customers, navigate large accounts to find decision makers, collaborate with marketing, educate clients on market conditions, and support supply chain sourcing. Role involves on-phone/email/chat outreach and on-site visits with travel up to 50%.

Drive sales and matchmaking for high-end clients in a fully remote startup. Conduct sales interviews, meet revenue targets, manage client portfolios, provide coaching, match clients, coordinate dates, maintain CRM records, and support recruiting, profile reviews, events, renewals, and upgrades.

Own and expand strategic enterprise life sciences accounts, build executive relationships, develop multi-year account strategies, and lead complex consultative sales of scientific data, bioinformatics, analytics, AI-ready data, and technology consulting solutions. Drive enterprise adoption, identify expansion opportunities, coordinate with internal leadership, and conduct executive business reviews. The role requires strong life sciences domain knowledge, enterprise account management experience, scientific credibility, and an active biopharma network.

Drive revenue growth in telecommunications, fiber broadband, utility, and infrastructure markets by securing new business and managing strategic accounts. Develop pipelines, lead proposals and negotiations, maintain executive customer relationships, identify expansion opportunities, forecast revenue, and provide market intelligence to leadership. The role bridges customer expectations with operational execution and requires extensive industry networking, construction-site visits, and up to 75% travel.

Lead the architecture and development of scalable backend APIs for music catalog, search, recommendation, personalization, and user interaction. Design data models, integrate third-party metadata and streaming services, optimize performance, implement observability, and ensure reliability. Establish engineering standards, review code, mentor developers, evaluate technologies, and collaborate with product, frontend, and data teams. The role requires extensive backend experience and expertise across cloud platforms, deployment, databases, caching, messaging, and CI/CD.

Own named enterprise accounts after proof of concept, driving adoption, onboarding, workflow expansion, account health, executive reviews, references, renewals, and growth. Configure AI workflows, identify new use cases, cultivate champions, troubleshoot customer issues, and communicate adoption patterns and product gaps to internal teams. Partner with global client executives to convert realized customer value into expansion and referenceable partnerships.

Design, develop, and optimize high-performance confidential computing solutions using CUDA. Identify and resolve performance bottlenecks through advanced CUDA programming and profiling tools. Write clean, tested, documented code and collaborate with developer services and infrastructure teams to integrate GPU-accelerated algorithms into existing systems. The role also involves building cryptographic and distributed systems supporting privacy-preserving zero-knowledge products.

Build and close outbound enterprise sales pipelines for a new payroll-giving scholarship program. Sell consultatively to HR, Total Rewards, Benefits, CSR, Finance, Legal, Payroll, and executive stakeholders at employers with 10,000+ employees. Explain payroll deduction and tax-credit mechanics, manage complex implementations, support successful program launches, and capture market intelligence to shape messaging, ideal customer profiles, and the go-to-market playbook.

PhD-level AI Engineering intern to apply machine learning to large-scale intraday and tick financial data. Responsibilities include alpha generation, portfolio optimization, risk modeling, data preprocessing, and collaboration with researchers to deploy robust ML models for trading.