Jobs at Chamberlain Group

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.

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.

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.

Leads qualitative and quantitative market research across product, marketing, and strategy. Owns research programs from scoping through execution, analysis, synthesis, and stakeholder presentation. Develops segmentation, concept testing, journey mapping, brand tracking, and usage studies; translates findings into strategic recommendations and facilitates activation workshops. Manages research vendors, maintains insight dashboards, upholds methodological standards, and influences product roadmaps, marketing campaigns, and business decisions.

Leads Amazon marketing strategy, performance media, digital shelf optimization, SEO, AEO, and GEO initiatives. Oversees campaign execution, measurement, KPIs, incrementality testing, and investment optimization while partnering with sales, creative, product, analytics, and senior leadership. Drives e-commerce discoverability, conversion, innovation, process improvements, and scalable media capabilities across Amazon.

Manages dealer, partner, and end-user sales across an assigned territory. Responsibilities include forecasting, account development, pricing and P&L management, customer presentations, site surveys, quote and order fulfillment, marketing support, partnership negotiations, trade shows, and cross-functional projects. Requires a bachelor’s degree, 5+ years of sales experience, channel management knowledge, CRM proficiency, mechanical aptitude, public speaking skills, and up to 30% domestic travel.

Designs, engineers, and automates highly available cloud infrastructure and platforms for a global IoT service. Responsibilities include evolving PaaS implementations, managing Kubernetes and infrastructure-as-code solutions, monitoring and troubleshooting security and infrastructure events, conducting root-cause analysis, collaborating on architecture and security, and mentoring junior engineers. The role also supports technology roadmaps, cloud cost optimization, and infrastructure initiatives across distributed teams.

Leads regional sales strategy and pipeline development for CAS and PAS products. Manages prospects, CRM activity, presentations, trade-show representation, dealer and integrator partnerships, sales projects, market analysis, and team training. The role requires extensive domestic and international travel, cross-functional collaboration, and mechanical aptitude to expand product positioning and close sales.

Leads data engineering and analytics engineering teams delivering production pipelines, curated data products, semantic models, dashboards, and governed Databricks lakehouse capabilities. Owns platform administration, data quality, observability, security, cost optimization, reliability, and engineering standards. Manages internal and external resources, mentors engineers, drives AI-assisted development, partners with stakeholders, and reports roadmap progress to leadership. Requires strong hands-on Databricks expertise, technical leadership, advanced SQL, data modeling, CI/CD, and up to 5% travel.

Leads analytics engineering standards and hands-on development of curated Databricks Gold-layer models, domain data marts, governed metric views, and AI/BI dashboards. Builds production transformations with SQL and PySpark, implements testing, lineage, documentation, security, CI/CD, and performance optimization. Partners with stakeholders to define enterprise metrics, mentors engineers and analysts, reviews technical work, establishes data contracts, and enables trustworthy self-service analytics and AI-assisted data access.

Lead the design and governance of curated analytics data models, domain data marts, enterprise metric definitions, and Databricks dashboards. Build tested, documented, performant transformations using SQL and Python/PySpark; establish data contracts, lineage, access controls, and CI/CD practices; review and mentor engineers; align stakeholders on metrics; and enable trustworthy self-service analytics and AI-assisted data experiences.

Leads demand planning and collaborative forecasting across multiple product families. Responsibilities include preparing 18-month demand plans for S&OP/IBP reviews, quantifying risks and opportunities, maintaining forecasting models, managing SAP APO functionality, aligning consensus forecasts with supply planning, supporting new product transitions, and contributing to budgeting and scenario planning. The role also drives forecast accuracy, process effectiveness, and continuous improvement with cross-functional stakeholders.

Leads territory sales for LiftMaster CAS and PAS products by managing prospect pipelines, guiding regional sales strategy, presenting to partners and customers, analyzing market data, developing dealer relationships, and mentoring sales teams. The role requires extensive domestic and international travel, CRM activity tracking, product expertise, and cross-functional project leadership.

Manages a middleware software engineering team responsible for web services, databases, APIs, and IoT backend systems. Oversees resource planning, project execution, budgets, architecture, software quality, CI/CD, release processes, and technical standards. Leads recruiting, performance management, training, and consultant coordination while driving continuous improvement and technology roadmaps. Collaborates with product, marketing, architecture, engineering, and scrum teams to deliver reliable, secure, high-quality software products.

Leads enterprise direct-sourcing strategies for electronics and drivetrain categories across business units. Partners with leaders to optimize quality, service, cost, budgets, supplier relationships, supply-chain continuity, and risk mitigation. Oversees sourcing roadmaps, supplier innovation, contracts, make-versus-buy analysis, should-cost modeling, and procurement initiatives. Manages and develops a high-performing sourcing team while supporting strategic planning, pricing, and margin improvement.

Leads analytics engineering standards and builds governed Gold-layer data models, domain data marts, metric views, dashboards, and self-service analytics on Databricks. Develops SQL and PySpark transformations, data quality tests, documentation, lineage, and access controls. Partners with stakeholders to define enterprise metrics, reviews technical work, mentors engineers, manages data contracts, and improves reporting estates. Applies CI/CD, AI-assisted development, performance optimization, and cost management while leading projects through adoption.

Leads sales and business intelligence analytics, including pipeline ROI, incentive analysis, forecasting, year-over-year drivers, and connectivity trends. Develops dashboards, analytical tools, methodologies, and business processes using internal and external data. Partners with cross-functional stakeholders and IT to define requirements, integrate systems, and communicate actionable insights to leadership. Requires strong quantitative analysis, data visualization, stakeholder communication, and project leadership skills.

Own end-to-end product design across myQ mobile, web, and connected-hardware experiences. Lead discovery, research, wireframing, prototyping, high-fidelity UI, design-system development, and implementation handoff. Partner with Product and Engineering leadership to shape strategy, influence stakeholders, and deliver measurable outcomes. Advocate for AI-assisted design workflows, mentor designers, and lead initiatives that improve design quality, processes, and tooling across the organization.

Leads large, globally distributed product and platform programs from design through commercialization. Builds and guides cross-functional teams, manages deliverables, risks, conflicts, scope changes, metrics, and process improvements. Presents program status and mitigation plans to executives, provides New Product Development training, ensures business-process compliance, and supports continuous improvement while coordinating stakeholders across the organization.

Leads the data science function by managing and coaching data scientists, developing analytics methodologies, partnering with business leaders, and delivering predictive and prescriptive models. Drives adoption of analytical insights, educates stakeholders, manages vendors, recruits talent, and oversees team performance. Requires advanced expertise in statistics, machine learning, Python, R, SQL, Databricks, distributed computing, and cloud analytics.