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Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, a platform enabling organizations to harness IoT data for actionable insights across physical operations including agriculture, construction, field services, transportation, and manufacturing.
As a Senior People Partner, you will serve as a strategic talent advisor to Samsara's Go-To-Market (GTM) and Sales leadership. Reporting to the Director of GTM People Partners, you will embed yourself within executive teams to align talent priorities with business outcomes, solve complex organizational challenges, and drive measurable impact in a high-growth, fast-paced environment.
Key responsibilities include:
- Act as a strategic thought partner to sales and GTM leaders, establishing yourself as an indispensable embedded advisor
- Proactively diagnose team, manager, and organizational needs; recommend and execute business-aligned solutions with urgency
- Drive continuous talent management, compensation/reward programs, and retention strategies to reduce attrition in high-volume GTM environments
- Partner with Regional People Partners, Program Managers, and Centers of Excellence to build and scale strategic people solutions
- Role model and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as the company scales globally
- Travel approximately once per quarter for leadership offsites, business strategy meetings, and key team gatherings
The role operates with a creative, problem-solving mindset prioritizing common-sense solutions and business-focused metrics. You will work in a recently public company environment with autonomy and support to make long-term impact.
Requirements:
- 6+ years of relevant experience in People Operations
- Experience partnering with go-to-market teams (sales, customer success, or similar) or broader People experience (programs, talent management, etc.) alongside business partnering
- Learning-oriented with demonstrated experience leveraging AI to automate routine tasks
- Ability to work well in fast-paced, iterative environments; open to changes in focus and direction
- Excellent analytical capability, attention to detail, and problem-solving acumen
- Experience using data to identify insights and influence leadership decision-making
- Effective communication, consulting, coaching, and facilitation skills