Engineering HRBP — Scale Leadership & People Programs

Rippling

Seattle (WA)

Vor Ort

USD 130.000 - 170.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Equity
Benefits
Competitive salary

Zusammenfassung

Rippling is seeking a Senior HR Business Partner to support our Engineering team within R&D. You’ll translate business priorities into people strategies and lead initiatives that drive organizational health and leadership effectiveness.

You’ll partner with engineers and cross-functional teams to implement performance management, talent reviews, and compensation cycles, using data and AI-enabled tools to improve outcomes in a fast-paced environment.

Qualifikationen

  • 7+ years of HRBP experience.
  • Broad HR expertise across performance, ER, design, talent dev, and compensation.
  • Experience building people programs and operating rhythms.
  • Strong business acumen linking engineering priorities to HR solutions.

Aufgaben

  • Partner with Engineering leadership to translate priorities into people actions.
  • Advise on organizational health, leadership effectiveness, and manager capability.
  • Coach managers on HR matters including performance and ER issues.
  • Drive HR work streams from diagnosis to execution with recommendations.
  • Lead core programs for Engineering: PM, talent reviews, engagement, compensation.
  • Leverage Rippling, data and AI tools to improve processes and insights.

Kenntnisse

HRBP experience
Performance management
Employee relations
Organizational design
Talent development
Compensation cycles
Data-driven decisions
AI-enabled tools familiarity

Tools

Rippling HRIS

Jobbeschreibung

Rippling is seeking a Senior HR Business Partner to support our Engineering team within R&D. You’ll translate business priorities into people strategies and lead initiatives that drive organizational health and leadership effectiveness.

You’ll partner with engineers and cross-functional teams to implement performance management, talent reviews, and compensation cycles, using data and AI-enabled tools to improve outcomes in a fast-paced environment.

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