Top Tech Jobs & Startup Jobs in Chicago, IL

Build and maintain full-stack marketplace features and support ML Ops infrastructure (model deployment, feature stores, real-time pipelines, monitoring) on Chalk and Vertex AI. Collaborate with data scientists to productionize models, write well-tested code, address performance/scalability issues, and contribute to technical planning.

Build and maintain backend and full-stack marketplace features while supporting ML Ops infrastructure (model deployment, feature stores, real-time pipelines, monitoring). Collaborate with data scientists to bring models to production, write well-tested code, address performance and scalability issues, and contribute to technical planning and cross-functional communication.

Own marketing channel performance tracking, reporting, and analysis. Design and analyze experiments (A/B, incrementality), build dashboards in Looker/Tableau, support LTV and forecasting models, identify measurement gaps, and translate analysis into clear recommendations for Growth, Marketing, and Finance stakeholders.

Own and optimize paid search campaigns (Google Ads, Microsoft Ads) to drive renter acquisition. Identify keywords/audiences, run A/B tests, analyze performance, report insights, collaborate cross-functionally, and contribute to performance marketing strategy and playbook.

Own and evolve end-to-end data pipeline architecture across ingestion, transformation, modeling, and serving. Lead platform improvements (cost, compute efficiency, access control), CI/CD, monitoring, and incident response. Drive cross-team technical initiatives, mentor engineers, and integrate AI tooling to improve workflows while remaining hands-on building and debugging production pipelines.

Run end-to-end renter support across three brands, administer and optimize Zendesk, maintain and retrain AI support automations, convert ticket trends into improved macros/workflows and documentation, handle complex escalations, keep Help Center and SOPs current, and own core support metrics and coverage coordination.

Build and deploy end-to-end ML models for renter acquisition, supply optimization, ranking, personalization, and marketplace optimization. Lead technical projects from problem framing through experimentation, launch, monitoring, and iteration. Apply statistical methods, causal inference, and rigorous A/B testing. Partner cross-functionally, mentor other data scientists, and raise modeling and experimentation standards.

Lead combined Analytics Engineering and Data Engineering teams owning the end-to-end data roadmap from ingestion to trusted metrics. Manage hiring and performance, set architecture and platform investments, enforce testing/monitoring/documentation standards, review technical decisions, and partner with product and business stakeholders to translate needs into prioritized deliverables.

Lead the technical vision for AI-driven marketing automation. Build a unified data foundation, design and ship LLM-powered agents and automations across content, lifecycle, and paid channels, integrate marketing systems with engineering, run hypothesis-driven experiments, and codify repeatable playbooks to scale marketing engineering.

Lead end-to-end product design for renter acquisition and engagement. Own growth-focused experiences from research and strategy through detailed UI, motion, and launch. Champion brand and visual craft, design systems, and AI-driven tooling while collaborating cross-functionally to ship measurable product outcomes.