Top Tech Jobs & Startup Jobs in Chicago, IL

Manage assigned Convene client accounts, build long-term customer relationships, understand client needs, provide product best-practice guidance, identify upselling and referral opportunities, participate in recurring business meetings, and maintain accurate CRM records of client interactions and opportunities.

Own the full B2B sales cycle, from prospecting and discovery through negotiation and closing, while meeting revenue quotas. Build client relationships, manage CRM pipelines and forecasts, develop tailored proposals, drive upsell opportunities, and collaborate with Marketing, Product, Legal, Sales Engineering, and Customer Success. Serve as an immigration solutions subject matter expert, provide market feedback, support sales enablement, and represent the company at events. Requires up to 20% travel.

Develop and execute North American marketing strategies, campaigns, positioning, messaging, and commercialization programs for laboratory automation solutions and services. Drive lead generation, customer adoption, retention, sales enablement, and pipeline growth. Conduct market and competitive analysis, gather customer insights, manage field marketing initiatives, and track Salesforce metrics, KPIs, forecasts, and ROI. Collaborate with sales, service, global marketing, and cross-functional teams while ensuring regulatory and branding compliance.

Build Tempo’s product security program from the ground up, including application, infrastructure, endpoint, and supply-chain security tooling. Identify and remediate production and development-pipeline risks, lead incident response through post-mortems, conduct secure design reviews, and establish scalable security practices. The role requires hands-on coding, deep incident-response expertise, strong infrastructure and application-security knowledge, and autonomous collaboration with engineering.

Design and build secure, scalable enterprise clinical workflow systems for Butterfly Cloud. Solve distributed-systems challenges involving elasticity, reliability, performance, and automated validation. Lead system design, own business problems, guide developers through execution, and mentor engineers. The role may span frontend and backend layers and involve cloud architecture, observability, search, real-time applications, GraphQL, containerization, and healthcare data compliance.

Owns the unified strategy, roadmap, lifecycle, and performance of two cloud software products serving law firms. Leads customer research, AI and automation initiatives, pricing and packaging, product requirements, backlog prioritization, launches, adoption, and optimization. Partners with engineering, sales, customer service, finance, and technology partners to deliver scalable products, improve retention, and drive profitable revenue growth.

Test web applications across requirements, design, implementation, and release. Identify risks early through shift-left testing, manually validate complex features and payment flows, define acceptance criteria and edge cases, review documentation, and create clear bug reports and test documentation. Collaborate with developers, designers, and stakeholders to improve QA processes and product quality.

Lead and scale high-performing paid acquisition campaigns across various channels. Optimize creative processes, analyze performance metrics, and manage partnerships to drive user growth and improve conversion rates.

Owns APLYD’s East Africa growth pipeline from initial institutional conversations through signed contracts, with responsibility for revenue origination, opportunity selection, proposals, negotiations, technical scoping, and delivery handoffs. Builds relationships across governments, multilaterals, development finance institutions, and foundations; maintains pipeline accuracy; represents the company regionally; and hires and leads the initial regional growth team.

Develops and deploys machine learning systems for high-stakes decisions in pricing, claims, underwriting, and predictive health. Responsibilities span problem framing, quantitative research, experimentation, causal inference, predictive modeling, multimodal and foundation model development, agent systems, production deployment, and ongoing iteration. The role requires strong mathematical and statistical foundations, Python fluency, and expertise in machine learning, statistics, econometrics, or causal inference.