Top Tech Jobs & Startup Jobs in Chicago, IL

Full-stack product engineer (backend-focused) who builds scalable NodeJS services, crafts React/TypeScript UIs, designs APIs, writes well-tested code, optimizes PostgreSQL queries and data pipelines, improves observability, and contributes to architecture and engineering practices for a fintech platform.

Own end-to-end product experiences for a data-intensive, AI-native fintech OS: convert complex financial logic and APIs into intuitive flows, design dashboards and workflows, build and maintain a scalable Figma design system aligned with React components, prototype with real data, and collaborate closely with engineers to ensure usable, accurate UX.

Lead FP&A and analytics for operations, HR, and accounting: build financial models, forecast and report, design dashboards, own KPI monitoring, translate data into actionable recommendations, and write/optimize SQL queries against BigQuery.

Design and implement data models, pipelines, and ML systems to power AI agents and analytics. Build, deploy, and monitor machine learning models at scale, integrate Snowflake/AWS and Salesforce Data Cloud, and deliver production-ready data products and views to stakeholders.

Lead and evolve A1's visual identity across product launches, website, recruiting, social, presentations, merchandise, and marketing. Design assets, create and maintain brand guidelines and templates, and ensure consistent visual communication.

Own the end-to-end UX for A1's core app across iOS, Android, and web. Design AI-assisted task flows, surface AI states and decisions, define progress and error-recovery patterns, run usability research, produce wireframes and high-fidelity Figma designs, and contribute to the design system to ensure clarity, trust, and control in asynchronous AI workflows.

Design high-quality, polished user interfaces and maintain UI components and design systems. Refine layouts, typography, spacing, and visual consistency. Work closely with product and engineering to deliver pixel-perfect, fast, and intuitive experiences while continuously improving product interface quality.

Provide high-touch user support via Intercom, troubleshoot web/mobile and integrations, build Intercom automations and AI-driven workflows, create help center content, report bugs and collaborate with product and engineering, and support onboarding to improve user experience and reduce friction.

Drive outbound prospecting and qualify inbound leads for a healthcare SaaS. Book meetings for sales leaders, personalize outreach, run growth experiments using AI tools, track activity in CRM, and hit performance targets while collaborating with the founding team.

Design, build, and maintain data pipelines and Microsoft Fabric lakehouses; create Bronze/Gold Delta tables and Power BI semantic models with DAX and row-level security; develop SQL views and incremental load patterns; monitor pipeline health, support data governance, and train reporting staff on the new Fabric environment.

Manage and expand the US partner ecosystem (VARs, resellers, distributors). Create joint business plans, enable partners, drive partner-sourced revenue and new logos, co-sell with sales, track KPIs and forecasts, manage commercial agreements, collaborate cross-functionally with product and marketing, and travel regularly for partner meetings and conferences.

Own end-to-end business development for financial-institution partnerships: source, qualify, negotiate, and close deals; build the sales motion and operating model; run pilots; partner with Product/Data/Engineering to automate and scale; and translate customer insights into product and GTM strategy.

Support B2B technology PR accounts by helping develop and execute PR campaigns, conduct media outreach, draft press materials, coordinate projects, support client relationships, and assist with reporting and insights.

Serve as the tactical Product Owner translating strategy into actionable backlog items, leading Agile ceremonies, refining user stories and acceptance criteria, coordinating cross-functional delivery, monitoring sprint metrics, ensuring HIPAA-compliant feature delivery, and using analytics to prioritize and iterate product work.