Top Tech Jobs & Startup Jobs in Chicago, IL

Lead and own client relationships across a portfolio of Salesforce/MuleSoft engagements. Manage 8-12 concurrent projects, enforce scope and change control, run purposeful meetings, coordinate engineering teams and AI tools, ensure on-time/on-budget delivery, handle invoicing and collections, and report project health to leadership.

Lead marketing strategy and GTM for the core Science portfolio, conduct market and competitive research, craft messaging and collateral, coordinate state adoption plans, and align cross-functionally to drive adoption, engagement, and sales.

Lead growth and demand-generation using HappyCos multifamily data. Create real deliverables (demand-gen campaign, AI workflow, or a novel growth idea), record a 4-6 hour Loom walkthrough, and apply via email. Expected use of AI tools; role is full-time, remote (US), focused on turning inspection and maintenance data into pipeline and measurable growth.

Develop and execute content strategy aligned to revenue goals; produce demand-generation assets (blogs, eBooks, landing pages); own SEO and performance tracking; build executive thought leadership; collaborate with product marketing and manage external writers to drive pipeline.

Design, build, and operate Spark-based ETL pipelines on AWS. Collaborate with stakeholders to deliver reliable data products, ensure data quality and governance, optimize performance, and maintain operational excellence of the data platform.

The Senior Customer Success Associate will enhance engagement with federal clients, ensuring a great user experience, analyzing data for trends, and facilitating communication between customers and internal teams.

Design and own cloud-native architecture for an enterprise fleet optimization platform: microservices on AWS, data and ML platforms, real-time pipelines, and enterprise integrations while ensuring security, scalability, and compliance.

Lead strategic and non-strategic client accounts to meet revenue, margin, and satisfaction goals. Conduct business reviews, manage finances and contracts, influence stakeholders, ensure operational KPIs, drive strategic growth and performance improvements, and travel up to 50% to support clients.

As a Senior Staff Data Scientist/Machine Learning Engineer, you will develop machine learning models to enhance Autodesk's eCommerce platforms, drive data-informed decisions, and mentor junior team members.

Perform site assessments and engineering tasks to onboard Thrive Managed Voice Services. Implement Microsoft Teams Voice, port numbers, configure advanced telephony, assess network readiness, document environments, communicate plans to clients, and manage multiple rollout projects.