Top Tech Jobs & Startup Jobs in Chicago, IL

Define clinical reasoning, safety boundaries, evaluation scenarios, datasets, rubrics, and acceptance thresholds for AI-enabled chronic disease products. Analyze failures and edge cases, support clinical validation and outcomes research, interpret clinical and EHR data, and collaborate with Product, Engineering, AI/ML, Data, informatics teams, and clinical stakeholders on integrations and workflows.

Lead Reprise’s marketing function and redesign its B2B go-to-market approach with an AI-first strategy. Own pipeline generation, demand generation, ABM, content, events, partnerships, analyst relations, social media, marketing tooling, budget, and external partners. Set and achieve monthly pipeline targets, establish category leadership in demo automation, optimize program spending, and combine strategic leadership with hands-on execution.

Generate qualified sales pipeline through personalized, high-volume outbound outreach to engineering leaders and technical buyers across global markets. Research target accounts, identify stakeholders and buying triggers, qualify technical and business needs, handle objections, and maintain accurate CRM data. Partner with Account Executives on account strategies and handoffs while continuously testing and improving messaging and prospecting workflows.

Leads the commercial Learning and Development function by setting strategy, governance, capability roadmaps, and development priorities. Oversees onboarding, sales effectiveness, product knowledge, leadership development, certification, and continuous learning programs. Manages the L&D team, budget, vendors, technologies, analytics, and performance measurement. Partners with commercial, sales, HR, marketing, and talent leaders to address capability gaps, improve workforce readiness, drive adoption, and deliver measurable business results across a geographically dispersed organization.

Conduct outbound prospecting through cold calls and emails, qualify leads, demonstrate product value, address objections, maintain account records, and collaborate with Account Executives to advance qualified opportunities. The role requires learning SaaS product capabilities, researching prospects and personas, building relationships, and contributing to business development goals in a fully remote environment.

Build and own Lantern’s private-markets data platform, including ingestion pipelines, APIs, and client interfaces. Define product, architecture, and testing specifications for agentic development; review generated code and maintain high engineering standards. Own production systems, database schemas, migrations, deployment infrastructure, observability, and engineering practices while collaborating closely with product managers and engineers.

Conduct outbound prospecting through cold calls, research, and engagement to identify and qualify B2B sales opportunities. Introduce prospective buyers to clients’ hardware and software solutions, collaborate with sales teams on outreach strategies, maintain accurate CRM records, and monitor industry and competitive trends.

The Senior Business Analyst will gather and document requirements for card and payment solutions, collaborating with stakeholders, product owners, engineering, QA, and processors. Responsibilities include defining functional specifications, analyzing card transaction lifecycles, supporting testing and releases, managing traceability, investigating production issues, and coordinating Agile delivery. The role requires strong expertise with card processing platforms, payment networks, integrations, APIs, data flows, compliance mandates, and payment products including credit, debit, and prepaid cards.

Build and improve RWX’s developer, build, and test cloud across product areas. Work as a generalist on UI, infrastructure, Linux systems, CI/CD, and reliability. Own planning, execution, releases, architecture, integration testing, and product decisions while maintaining high software quality and thoughtful use of AI agents.

Software Engineering Intern working across the technology stack to build semantic search, agentic AI systems, graph data solutions, and production-quality software. The role requires at least 20 hours per week and involves solving complex problems in an early-stage startup environment with significant ownership and experimentation.