Snowflake
Senior Manager, People Technology
- Employment type
- Full-time
- Location
- US-CA-Menlo Park · US-CA-Dublin
- Published
- Oct 21, 2026
- Last checked
- Oct 26, 2026
About this role
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.
This role goes beyond keeping People systems running. It's an opportunity to modernize how they're run. You'll own the core platforms within our People Technology stack, such as Workday HCM, ServiceNow HRSD, Ashby, and the integrations that connect them. You will leverage AI, modern integration frameworks, and automation to eliminate manual work, and help build and operate the AI products and skills transforming how Snowflake works.
WHAT YOU’LL OWN
- Platform operations: day-to-day support, release management, and change control for Workday HCM, ServiceNow HRSD, Ashby, and their integrations, including vendor releases from impact analysis through stabilization
- Trust and compliance: data integrity, system security, and audit readiness across all People systems (SOX, GDPR, privacy)
- Service excellence: operational SLAs and incident, problem, and request management that the business can count on
- AI-driven automation: ticket deflection, proactive data-hygiene monitoring, automated regression testing, and faster release cycles