System Product Manager - AI Data Center

Lexington, KY

Full Time

Posted October 22, 2026

$114k - $183k

Application opens on company website

Source: Workday View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed October 23, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Climate Technology
Pay provenance: Employer-provided pay

The System Product Manager for AI Data Centers will be the voice of the customer for one of the fastest-growing market segments.

Establish and lead the Voice of Customer (VoC) process for the AI data center segment.
Define system-level requirements and develop multi-generational product roadmaps for AI applications and system architecture.
Collaborate with engineering to ensure our system architectures are optimized for AI workloads of varying sizes (e.g., 20MW to 1GW).
Analyze market sizing, framing, and competitive positioning within the AI data center ecosystem.
Develop and maintain a system product roadmap that aligns with the overall business strategy, customer needs, and technical capabilities, ensuring it contributes to Trane's sustainability commitments.
Own the unified system architecture roadmap working in close partnership with system lead engineers and product/engineering teams.
Serve as the primary conduit for customer feedback, ensuring that market insights are integrated into the product development roadmap.
Define success criteria for new systems; define value proposition and work with the commercialization team to ensure a successful launch.
Engage directly with key customers and partners to align technology roadmaps.

Bachelor's degree in Engineering or a technical field; MBA is a plus.
Minimum of 7-10 years of product management experience or relevant experiences.
Proven experience in system product management, technical marketing, or system architecture, preferably within the data center industry.
Deep understanding of data center infrastructure and the specific challenges posed by AI/ML workloads.
Excellent communication skills and experience in a customer-facing role.
Strong business acumen and ability to translate technical features into customer value.
Strong ability to collaborate with cross-functional teams and external partners.
The ability to thrive in a fast-paced and dynamic environment serving mission critical customers