Senior Manager, AI Product

American Residential Services is a provider of residential HVAC, plumbing, and electrical services. The Senior Manager, AI Product leads flagship enterprise AI products, owning product strategy, business outcomes, value measurement, adoption, responsible AI, and scaled implementation across operational functions.

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

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 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
• 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
• Experience in field service, logistics, home services, or other multi-site operational businesses strongly preferred
• 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