Top Tech Jobs & Startup Jobs

Support field operations and client projects from initiation to completion: prepare and proof proposals, create maps and GPS-documented site layouts, schedule inspections and installations, coordinate with homeowners/clients/field teams/vendors, perform cold calls, and maintain organization across multiple projects.

Perform full-cycle accounting tasks including cost accounting, inventory valuation, journal entries, reconciliations, month/quarter/year-end close support, AP/AR backup, GAAP compliance, audits, and cross-functional financial analysis to support manufacturing and operations.

The AI Data Engineer will design and implement data pipelines, build AI-optimized data infrastructure, ensure data quality, and collaborate with teams to support AI applications.

Lead design, development, and maintenance of SmithRx frontend features using JavaScript and React while ensuring high-quality code and scalability. Collaborate with product teams and mentor junior engineers.

The Engineering Program Manager oversees photonics and semiconductor project development, manages schedules, coordinates with vendors, and drives resolution of technical issues to meet product milestones.

Design, administer, and scale sales and customer success compensation programs. Lead incentive modeling, forecasting, benchmarking, payouts, and compensation operations. Partner cross-functionally with Finance, RevOps, HR, and leaders to drive compensation strategy, analytics, process automation, and program governance while maintaining confidentiality and accuracy.

Perform high-volume outbound prospecting to create enterprise pipeline for platforms with $5M-$50M revenue. Qualify and book discovery meetings, articulate value of headless-style checkout and commerce infrastructure, and provide market feedback to executive leadership to shape the enterprise go-to-market motion.

Fullstack Product Engineer responsible for end-to-end feature delivery on AI-first music products: prototype to production, integrate and serve audio ML models, build agentic workflows, maintain reliability and tests, and collaborate with PMs and designers to ship high-quality creator-facing experiences.

Lead Oyster's data platform and AI strategy, centralize AI initiatives into production systems, build scalable data and MLOps infrastructure, modernize knowledge architecture and semantic search, partner cross-functionally to embed AI into products and workflows, enforce tooling standards and governance, and drive organizational adoption and change management for AI-assisted operations.

Open call for experienced candidates (typically 2+ years) across trading, technology, and operations at a proprietary options market maker. Submit resume and note where you fit. Teams include traders, quantitative researchers, data scientists, engineers, and operations (finance, HR, risk, compliance). The firm values ownership, depth, collaboration, and performance-tied compensation; Chicago-based with remote flexibility.