Senior Manager, AI Product

American Residential Services

. Own product strategy, roadmap, and business case for a portfolio of flagship AI products across dispatch, call center, pricing and discounting, membership, marketing and conversion, and fleet and capital efficiency .

Posted 10/7/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product strategy and management for AI products, with a strong focus on value measurement, KPI design, and change management. Proven ability to lead cross-functional teams and communicate effectively with diverse stakeholders, ensuring successful implementation and adoption of technology solutions.

Highest-signal resume keywords

Product ManagementKPI DesignChange ManagementCross-Functional LeadershipAI Governance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data-Driven Decision ToolsAI/ML ConceptsBusiness Case DevelopmentExperiment DesignA/B TestingOperational Problem TranslationValue MeasurementPilot DesignImplementation ManagementAgile Methodologies

Soft Skills

Effective CommunicationStrong OrganizationAttention to DetailExecutive PresenceFollow-Through

Tools & Technologies

Microsoft FabricAzurePower BIField Service Management PlatformsData Engineering ToolsData Science Tools

Industry Keywords

Field ServiceLogisticsHome ServicesMulti-Site OperationsAI Product Function

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

Own product strategy, roadmap, and business case for a portfolio of flagship AI products across dispatch, call center, pricing and discounting, membership, marketing and conversion, and fleet and capital efficiency
Define product vision, release plans, and success criteria
Translate operational problems into product requirements, success metrics, and acceptance criteria
Arbitrate scope, sequencing, and trade-offs with operations, branch, finance, and IT; manage intake, backlog, releases, and dependencies across concurrent programs
Own value measurement through baselines, KPI definitions, experiment design, pilots, A/B tests, and benefit attribution
Lead pilot design, launch readiness, and scaled rollout around seasonal peak-demand periods
Own adoption and change management, including training, communication, and user feedback loops
Guide decisions on autonomous AI versus human-in-the-loop workflows, considering risk, accuracy, customer impact, and value
Manage implementation partners and vendors; support build-vs-buy evaluations, statements of work, and renewals
Ensure responsible AI through explainable recommendations, human override, model monitoring, data governance, privacy, and compliance
Communicate progress, value, and risk to executive leadership
Build the AI Product function, including practices, templates, and team
Lead cross-functional work with data engineering, data science, platform, business teams, and external implementation partners

Requirements

What you’ll need

5+ years leading technology implementations, data-driven decision tools, or product management, with a proven track record of delivering results
Working understanding of data and core AI/ML concepts sufficient to partner credibly with data scientists and engineers
Track record owning a business case and measuring realized value after launch
Comfort with KPI design, baselines, and test-and-learn measurement, including pilots and A/B tests
Experience in field service, logistics, home services, or other multi-site operational businesses strongly preferred
Experience leading adoption and change management for new tools or processes with frontline or operational teams
Proven cross-functional leadership with operations, finance, marketing, IT, and external implementation partners
Familiarity with Microsoft Fabric, Azure, Power BI, field service management platforms, or similar a plus
Exposure to generative or agentic AI tools and AI governance a plus
Comfortable working in Agile, PMO-led, or hybrid environments
Bachelor’s degree in business, engineering, computer science, or a related field, or equivalent experience leading technology implementations
Ability to lead multiple concurrent, high-visibility programs in a fast-paced environment
Executive presence and effective communication across technical and non-technical audiences, from front-line employees to the C-suite
Strong organization, attention to detail, and follow-through
Ability to travel as needed

Benefits

Comp & perks

Ability to travel as needed (approximately 1–2 times per quarter)