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Human Resources Business Partner Jobs

3,240 active opportunities Β· Updated for October 2026

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Explore current human resources business partner jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Asana
πŸ“ Vancouverβ€’ Full-timeβ€’ $202K – $230K/yr
1mo ago

Asana is evolving into a platform where humans and AI agents work together, and Core Integrations is helping make that platform more connected, extensible, and enterprise-ready. This team builds the extensible foundations and developer-facing capabilities that help customers, partners, and developers ensure Asana can meet their specific needs. We’re looking for a hands-on, technically strong Engineering Manager who thrives in ambiguity, cares deeply about developer experience, and can help a high-performing team ship high-quality products at the intersection of integrations, platform, and AI. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Manage and coach 6–8 engineers, fostering an inclusive culture and establishing team rituals that drive both excellence and professional growth. Servant leader who smooths the road for teams to execute Partner with product, design, professional services and UXR to translate customer pain points into a reliable technical MVP and a scalable architectural roadmap. Collaborate with cross-functional partners to balance large-scale feature launches with iterative, daily product enhancements. Guide the articulation and execution of the team’s work and ensure the team’s work ties back into high-level business goals Use your curiosity and technical taste to maintain a high bar for quality and experience on the part of the team. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making 6+ years of relevant experience with leadership experience

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OpenAI
πŸ“ San Franciscoβ€’ Full-time
1mo ago

About the Team Models are becoming increasingly capableβ€”moving from tools that assist humans to agents that can plan, execute, and adapt in the real world. Mitigating the frontier risks resulting from these capabilities is paramount to OpenAI’s ability to continue deploying models safely. The Preparedness team is dedicated to addressing these critical risks. Our work includes: Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. Mitigation. Keeping misuse and misalignment safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework , and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. About the Role We are seeking exceptional researchers who can push the frontier of safety mitigations. You will help derisk frontier models by developing novel safety mitigations, developing and applying new techniques from domains like interpretability, control, and alignment to ensure the safety of OpenAI’s deployed models. You will play a critical role in defining how a safe AI system should look in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI. This role requires strong technical depth and close cross-functional collaboration to ensure our safety mitigations are enforceable, scalable, and effective. We seek researchers who can partner with experts across domains such as misalignment, cybersecurity, and biology in order to develop the best possible end-to-end safety stack. In this role, you will: Work on identifying emerging AI safety risks and new methodologies for exploring and mitigating the impact of such risks Build (and then continuously refine) the evaluations that enable us to assess the extent of these risks; this might include worki

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