Staff Product Manager, LLMX Platform

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Market context

U.S. role benchmark (BLS OEWS)

$102,662 U.S. median for this role

Projected growth (BLS Employment Projections)

+5.4% - Faster than average

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Staff Product Manager, LLMX Platform San Francisco, California, Miami, Florida, Raleigh, North Carolina, Toronto, Ontario, & Montréal, Quebec MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100 , the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the Product talent to match. We are seeking a Staff Product Manager to own the AI Platform - known internally as LLMX - within our Work Intelligence (WIQ) group. LLMX is the shared substrate that every MaintainX product team builds AI on: the runtime, orchestration, evaluation, and observability layer powering our growing catalog of agents and intelligent capabilities. This is one of the highest-leverage roles in the company - every AI feature we ship rides on LLMX, and the teams building on it are growing fast. We're looking for a rare combination: a product leader with genuine technical depth in AI systems, strong instincts for platform adoption and developer experience, and the commercial curiosity to connect platform investments to product differentiation and enterprise value. If you've shipped AI infrastructure that other teams depend on - and you know what it takes to build a platform others want to build on - we want to hear from you. What you'll do - Own

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