Observe.AI
Sr. People Business Partner
Redwood City, CA (Hybrid) · Senior · Full-time
Sponsorship not specified$170k-$190kDetected 50 days ago
Performance ManagementOnboardingMentoring
About the role
- Each AI Agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes.
- This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.
- Why Join Us You'll play a pivotal role in shaping how employees experience our company at every stage of their journey at Observe.AI.
Responsibilities
- Supporting new hire onboarding programs and orientation experiences that create strong employee connections, accelerate ramp-up, and reinforce company culture
- Managing employee engagement, including milestone programs, employee swag, culture-building efforts, and workplace experience initiatives
- Supporting and evolving performance management practices through manager enablement, coaching, calibration support, and continuous development conversations
- 5 - 7 Years Technical Client Group Support
Nice to have
- MA/MS Business, IO Psychology, Social or Hard Sciences Preferred
Compensation
- The base salary compensation range targeted for this full-time position is $170,000-$190,000 Range per annum.
- Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience.
- Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options).
- This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices.
- Our Commitment to Inclusion and Belonging
- Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.
Company info
- Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI Agents that autonomously execute work across the full CX lifecycle-from handling customer conversations to supporting frontline teams and optimizing operations.
- Each AI Agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.
- Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.
- Why Join Us
- Partnering cross-functionally and business leaders to ensure seamless employee experiences
- Supporting employee relations matters by partnering with leaders on coaching, documentation, performance improvement, feedback conversations, and sensitive employee situations with professionalism and discretion
- Acting as a strategic advisor to leaders on talent planning, organizational effectiveness, workforce trends, and people-related challenges
- Coordinating learning, development, and manager enablement programs, including training logistics, content updates, and knowledge management
- Contributing to organizational transformation and innovation initiatives, including programs that leverage AI and modern tools to improve employee experience and operational effectiveness
- BA/BS Business, Analytics, Communications, Social or Hard Sciences
Equal opportunity
- Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce.
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This listing is sourced directly from Observe.AI's careers page and normalized into a canonical job model.