Teams at Chamberlain Group

Team
Chamberlain Group Engineering Team in Chicago

Chamberlain Group’s Chicago Engineering team is helping evolve a longtime access-hardware leader into a software- and AI-driven technology company. Engineers work across software, mobile, cloud, firmware, hardware, machine learning and AI to build connected experiences within the myQ ecosystem. The work brings physical products and digital technology together, giving teams opportunities to solve problems spanning IoT infrastructure, intelligent automation, computer vision and customer-facing applications. Software engineers now account for about 70% of Chamberlain Group’s engineering talent as the company continues to expand its software capabilities.

Team
Chamberlain Group Sales Team

Chamberlain Group’s Chicago Sales team, based in Oak Brook, brings intelligent-access solutions to residential, multifamily and commercial customers. The team sells established LiftMaster products alongside software-enabled offerings such as myQ Community and myQ Enterprise, giving salespeople exposure to both hardware and recurring software businesses. Sales works with dealers, integrators, property managers, owners, operators and enterprise customers, with a consultative approach focused on understanding customer needs across a range of access and logistics use cases.

Team
Chamberlain Group Marketing Team

Chamberlain Group’s Chicago Marketing team, based in Oak Brook, supports brands including Chamberlain Group, myQ, LiftMaster and Chamberlain across B2B and B2C audiences. The team spans brand strategy, lifecycle marketing, CRM, social, influencer, e-commerce, communications and go-to-market work. Marketers combine creative storytelling with customer insight, experimentation and measurable business goals, helping shape campaigns, customer journeys and product positioning as Chamberlain Group expands from traditional access hardware into a broader intelligent-access ecosystem.

Team
Chamberlain Group Data Science Team

Chamberlain Group’s Chicago Data Science team, based in Oak Brook, uses machine learning, statistical modeling, experimentation and advanced analytics to help teams make better decisions across product, engineering, marketing and other functions. The team works within Decision Intelligence, partnering with business leaders to identify high-value opportunities and turn data into measurable impact. Using tools such as Python, R, SQL, Databricks, Azure and Power BI, data scientists analyze connected-product and customer data across Chamberlain Group’s large myQ ecosystem.

2 Days AgoSaved
Hybrid
Oak Brook, IL, USA
Automotive • Hardware • Internet of Things • Mobile • Software • App development • PropTech
Serve as the primary power user of the Customer Data Platform (CDP); manage end-to-end CDP workflows including data ingestion, integrations, audience segmentation, and activation; operationalize customer data across marketing and lifecycle channels; translate personalization and measurement needs into CDP-ready requirements in partnership with IT and Marketing to drive measurable engagement and performance.
3 Days AgoSaved
Remote or Hybrid
Oak Brook, IL, USA
Automotive • Hardware • Internet of Things • Mobile • Software • App development • PropTech
Architect and develop production-grade GenAI systems, including LLM-powered agents, RAG pipelines, tool integrations, multi-agent coordination, memory systems, and chatbot experiences. Lead AI productization across engineering, product, and research teams; establish architecture, infrastructure, observability, coding standards, and delivery practices. Mentor engineers, guide technical roadmaps, and ensure scalable end-to-end deployment across frontend, backend, and ML components.
3 Days AgoSaved
Remote or Hybrid
Oak Brook, IL, USA
Automotive • Hardware • Internet of Things • Mobile • Software • App development • PropTech
Lead development and production deployment of machine learning systems for time-series anomaly detection in connected-device environments. Build streaming and MLOps pipelines, tune alerts, monitor model drift, and integrate AI systems with LLM-based assistants. Guide architecture, tooling, observability, and production readiness while mentoring and managing applied AI and full-stack engineers. Collaborate across engineering, product, data, and research teams.