Top Tech Jobs & Startup Jobs in Chicago, IL

Manage operational and analytical cost-optimization tasks end-to-end. Analyze reports and partner metrics, develop and implement cost-saving strategies, support partners in Bitrix CRM, improve partner processes and tools, and collaborate cross-functionally to increase efficiency.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

As a Senior Atlassian Platform Engineer, you will administer and support Jira and Confluence platforms, automate tasks, troubleshoot issues, and collaborate with various teams to enhance performance and stability.

Lead full-lifecycle partner development: source, qualify, negotiate, align technically and commercially, launch integrations, run outreach, maintain prioritized partner pipeline, track competitors, and hand off live partnerships to affiliate managers.

The Senior Product Analyst will automate data collection, analyze product metrics, conduct A/B tests, and support product hypothesis generation.

Design and develop internal services and deployment automation tools in Go; build and maintain GitLab CI/CD pipelines; manage Kubernetes production and pre-production environments; evolve internal deployment platform (Packman); implement IaC with Terraform and Ansible; optimize ephemeral/stage environments; improve observability with Grafana/OpenSearch/Prometheus; collaborate with engineering teams to enhance developer experience and delivery speed.

Monitor and analyze product and advertising KPIs, integrate data from multiple sources, build and optimize weekly/monthly marketing reports, run A/B test analyses, create campaign summary reports, and provide actionable recommendations to improve campaign performance.

Lead training and fine-tuning of generative computer-vision models (text2image, image2image, video2image) including IP-adapters; develop image/video classifiers, rankers, and captioning models; track CV research and define roadmap; build iterative model improvement and quality validation systems; optimize inference performance (diffusion optimization, quantization, kernel/framework-level); optionally train multimodal CV+NLP companions.

The Senior CRM Manager will generate hypotheses, create business specifications, launch experiments, analyze results, and improve CRM processes to enhance customer retention and loyalty.

Train and fine-tune large language models, build and maintain the full LLM stack and agentic pipelines, improve chat/agent algorithms, translate NLP research into roadmap, and collaborate with validation, content, and dataset teams to design experiments and measure model quality.