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Senior Global Rewards Analyst
Outreach · United States
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About Outreach Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few. About The Team The People & Places Team builds the systems and experiences that make Outreach a place where talent wants to stay and grow. Whether you're designing the frameworks that keep us competitive, or shaping the day-to-day moments that define our culture, your work directly shapes how it feels to build a career here. The Role Reporting to the Director, Total Rewards & People Operations, we're looking for a Senior Global Rewards Analyst to own compensation and equity programs across our global workforce: from market pricing and job leveling to merit, bonus, and equity administration. This role blends deep technical analysis with end-to-end program ownership, turning market data and compensation strategy into pay practices that are competitive, equitable, and compliant across every region we operate in. As Outreach continues to scale internationally, rewards decisions increasingly shape how we attract and retain talent everywhere we hire. Success in this role means leaders and employees can trust that pay decisions are fair, well-informed, and consistent: reflected in strong retention and a rewards program that scales cleanly as Outreach grows globally, with processes that hold up to scrutiny in every market we operate in. Location: Seattle (hybrid) or US Remote