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Principal Product Manager, Agent Intelligence

Equinix, Inc · Dallas, TX

Publicada em 05/11/2026

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Who are we?Equinix is the world's digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You'll work across teams, influence key decisions, and help shape the path forward. You'll find belonging, purpose, and a team that welcomes you-because when you feel valued, you're empowered to do your best work.Job SummaryWe're looking for a Principal Product Manager to own Agent Intelligence: the evaluation, observability and feedback systems that tell us how well our agents perform, why they fail, and whether each change makes them better. You will set the quality bar for agents across Equinix and build the platform that enforces it.This role is for someone who has done this before at scale. You have built or run evaluation or observability for production ML or LLM systems with many moving parts. You came up through systems engineering, and you can go from a dashboard to a trace to a root cause yourself. Now you want to apply that to agents working on real enterprise data, at global scale, where being wrong has real consequences.ResponsibilitiesSet the quality barDefine what "good" means for each agent and for the system end to end. That covers correctness, grounding in sources, completeness, tool-use accuracy, workflow adherence, latency, cost and business outcomeTurn product requirements and acceptance criteria into measurable evals, each with a clear threshold and ownerSet scoring standards and rubrics that hold across agents, workflows, regions and industries, and that both experts and automated judges apply consistentlyBuild the evaluation platformOwn the roadmap for offline and online evaluation. This includes golden datasets, scenario and r
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