AI Engineering Manager

Engineering ManagerChamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster® and Chamberlain®, are found in 51+ million homes, and 14 million+ people rely on the myQ® app daily.This role is within Chamberlain Group's Engineering Function.

This manager leads engineering teams focused on building and delivering AI capabilities that power intelligent, connected home experiences for our customers. This is a US-based leadership role managing a distributed engineering team.Engineering teams in this role are responsible for the real-time data serving infrastructure that powers personalized, low-latency experiences; the agentic interface and LLM orchestration layer that enables intelligent interactions with customers; and the machine learning models that detect anomalies and surface insights to keep customers informed and in control of their connected home.This role will work with cross-functional teams across architecture, product, AI/ML ops, and the Video Intelligence team. Success in this role is to deliver and maintain the platform as a unified source of truth to deliver intelligent, personalized experiences to customers.This is a senior software engineering leadership role — strong programming fundamentals and hands-on fluency with real-time serving, LLM systems, and ML pipelines are required.Job Responsibilities:Own end-to-end engineering delivery of the real-time data serving infrastructure, including data serving layers, search indexes, and online feature deliveryDrive engineering reliability and scalability of the real-time model serving infrastructureLead engineering delivery of the agentic interface end-to-endOwn LLM orchestration architecture for dialogue management, context handling, and session continuityOwn customer insight modeling pipeline and ensure high accuracyLead machine learning pipeline engineering that surfaces insights about connected home usage patternsManage sprint-cadence delivery across engineering teams with clear ownership, unblocking, and accountabilityWork closely with cross-functional teams across architecture, product, AI/ML ops, and the Video Intelligence team to manage feature and data dependenciesDrive observability standards: APM span hierarchy, cost monitoring, escalation rate tracking, and alert thresholdsLead drift detection, confidence scoring pipeline monitoring, and production rollback readinessPrepare and deliver team health updates and milestone reviews to leadershipOperate fluidly as a first-line or second-line manager depending on project needs — directly managing engineers when hands-on delivery leadership is required, and leading through senior engineers who manage their own teams in steadier execution phasesDevelop and grow Senior Engineers into technical leads who can carry day-to-day team ownership, while maintaining direct coaching relationships across the full teamLead hiring and onboarding of engineersBuild a high-trust, high-velocity team cultureComply with health and safety guidelines and rules; managers should also ensure compliance across their teamsProtect Chamberlain Group's reputation by keeping information confidentialMaintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societiesContribute to the team effort by accomplishing related results and participating on projects as neededJob Requirements:Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field7+ years of software engineering experience, including 3+ years in an engineering leadership or management roleDemonstrated ownership of real-time serving infrastructure and machine learning pipelines at production scale: low-latency APIs, feature stores, embedding indexes, model serving, or online scoring layersExperience building or leading LLM-powered or agentic systems: conversational AI, LLM orchestration, retrieval-augmented generation (RAG), or dialogue managementExperience with ML behavioral modeling, anomaly detection, or time-series analysisExperience managing distributed engineering teams spanning geographies and employment modelsProven track record delivering production APIs with strict SLA requirements (uptime and observability standards).Knowledge, Skills, and Abilities:Strong software engineering fundamentals: production-quality Python, system design, code review practices, and automated testing — this is not a configuration or no-code roleDeep understanding of real-time serving architecture: API gateway patterns, vector search, and feature store read pathsWorking knowledge of LLM orchestration frameworks (LangChain or equivalent), retrieval-augmented generation (RAG) pipelines, prompt engineering, and AI agent workflow designFamiliarity with ML anomaly detection techniques: behavioral baselines, scoring pipelines, false-positive managementExperience with production observability tooling (Datadog APM or equivalent): span tracing, cost monitoring, alert threshold managementStrong communication and stakeholder management skills — comfortable bridging distributed engineering execution with product and AI leadershipAble to operate with autonomy in a fast-moving environment; capable of defining process where none yet existsOther:Ability to travel up to 10% of the time domestically and internationallyPreferred Job Requirements:Master's degree in Computer Science, Computer Engineering, or related fieldAWS Certified Machine Learning Specialty or equivalent cloud ML certificationExperience in IoT, smart home, or consumer device ecosystems where AI operates at or near the edgeBackground in occupancy modeling, event-sequence pipelines, or behavioral data for connected devicesPrior experience building or scaling a real-time decisioning layer that interfaces between a data platform and user-facing product surfacesKnowledge, Skills, and Abilities:Familiarity with OpenSearch, pgvector, or equivalent embedding index infrastructureUnderstanding of A/B experimentation infrastructure and feature flag-driven rollout strategiesExperience with ArgoCD, CI/CD pipelines, and gradual traffic ramp strategies for ML model deploymentsThe pay range for this position is $102,600.00 - $193,425.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience.

In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We're proud to be an Equal Opportunity Employer, and you'll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status.

We're committed to fostering an environment where people of all lived experiences feel welcome.Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence : Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.