Senior Manager, AI Product

ARS-Rescue Rooter•Remote,

1d•Remote

About The Position

Join American Residential Services, one of the nation’s largest providers of residential HVAC, plumbing, and electrical services with 7,000 team members and more than 50 years of experience. With 70+ locations in 24 states, coast-to-coast, we are growing and hiring professionals to help support our branch offices, field trades, call centers, and corporate office. The Senior Manager, AI Product leads some of ARS’s flagship AI-first products. These enterprise-scale initiatives apply machine learning, AI, and AI agents to how we serve our customers and drive profitable growth across the enterprise. This role reports to the VP, Data & Applied Intelligence (D&AI) and owns the measurable business outcomes of each flagship program, from strategy and business case through production adoption and value realization. You’ll serve as: Product lead for D&AI’s flagship AI products, beginning with AI-driven dispatch optimization for field service Outcome owner accountable for driving, measuring, and reporting the realized business value of each flagship Strategic partner to business leaders across operations, call center, marketing, finance, and IT who are partners in execution This role works cross-functionally with data engineering, data science, platform, business teams, and external implementation partners to turn complex operational problems into AI products that people trust, adopt, and that deliver measurable financial impact.

Requirements

5+ years leading technology implementations, data-driven decision tools, or product management, with a proven track record of delivering results
An execution leader fluent in technology: a 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
Comfortable with KPI design, baselines, and test-and-learn measurement (e.g., pilots, 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; 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 (approximately 1–2 times per quarter)

Nice To Haves

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

Responsibilities

Own product strategy, roadmap, and business case for a portfolio of flagship AI products, aligned to ARS’s enterprise transformation initiatives such as dispatch, call center, pricing and discounting, membership, marketing and conversion, and fleet and capital efficiency
Define product vision, release plans, and success criteria for each flagship
Translate operational problems into product requirements, success metrics, and acceptance criteria that data science and engineering teams can build against
Arbitrate scope, sequencing, and trade-offs with operations, branch, finance, and IT; manage intake, backlog, releases, and dependencies across concurrent programs
Own value measurement for each flagship: baselines, KPI definitions, experiment design (A/B tests and branch-level pilots), and attribution of benefit to the right business lever
Lead pilot design, launch readiness, and scaled rollout, planning field-facing releases around seasonal peak-demand periods
Own adoption and change management for each product including training, communication, and feedback loops with the business users it serves
Guide decisions on where AI acts on its own and where people stay in the loop, weighing risk, accuracy, customer impact, and value
Manage implementation partners and vendors; support build-vs-buy evaluations, statements of work, and renewals
Ensure responsible AI: explainable recommendations, human override, model monitoring, and data governance, privacy, and compliance requirements are met
Communicate progress, value, and risk to executive leadership in clear, business-first terms
Build the AI Product function over time — practices, templates, and team — as the portfolio grows