Senior Employee Relations Partner

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About the Team

OpenAI’s People team is committed to hiring, engaging, and supporting world-class talent to help safely build and deploy universally beneficial Artificial General Intelligence (AGI).

The Global Employee Relations and People Standards team brings together expertise in employee relations, employment investigations, and People compliance, policy, and standards. We play a critical role in shaping how OpenAI supports its people through complexity, growth, and change.

Our team guides and supports the company through some of its most nuanced and high-impact people challenges. We operate with deep context and care, balancing trust, judgment, and creativity in every situation. We don’t default to predefined frameworks. Instead, we take a principled yet flexible approach, designing thoughtful, tailored solutions that reflect our values, the needs of our employees, and the unique pace of OpenAI.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

About the Role

We’re looking for a Senior Employee Relations Partner to focus on the non-investigative side of ER work, supporting high-trust, high-impact people matters. This includes conflict resolution, high-risk performance management, sensitive employee exits, and navigating workplace dynamics that require thoughtful, strategic support even when they don’t involve formal investigations. This role will report to the senior manager of the team.

We're looking for someone who brings creativity, flexibility, and a deeply human-centered approach to solving people challenges. You’re energized by complexity and nuance, and instinctively seek out tailored, thoughtful solutions rather than one-size-fits-all answers. You don’t just apply rules; you understand context, think strategically, and help leaders make principled decisions that reflect our values and evolving culture. This role is a fit for someone who adapts quickly, thrives in uncertainty, and focuses on what’s possible, not just what’s standard.