Senior Manager of Procure to Pay Operations (AI)

TL;DR

Senior Manager of Procure to Pay Operations (Finance/AI): Leading end-to-end P2P operations and driving the execution of agentic AI and automation initiatives with an accent on operational excellence and cross-functional stakeholder management. Focus on transforming procurement processes, scaling technology adoption, and managing globally distributed teams to redefine enterprise finance operations.

Location: Must be based in or able to work from Menlo Park, CA (Hybrid)

Salary: $172,000 – $225,700

Company

Snowflake is a leading data cloud company powering the agentic enterprise through advanced AI-native technology and modern data platforms.

What you will do

• Lead day-to-day operations across Procurement, Accounts Payable, Strategic Sourcing, T&E, and Global Contracts.
• Drive the execution of agentic AI and automation projects from roadmap to production in partnership with engineering and product teams.
• Manage and develop a globally distributed team of procurement and finance professionals.
• Ensure SLA performance, process compliance, and approval cycle times meet or exceed targets.
• Serve as the primary operational escalation point for cross-functional stakeholders in Finance, Legal, and Security.
• Own P2P reporting and metrics to provide real-time visibility into spend and process health.

Requirements

• 8+ years of experience in Procure to Pay or Finance Operations, with at least 3 years in a people management role.
• Proven track record leading operational transformation in a P2P or S2P environment.
• Hands-on experience with AI, automation, or agentic workflow tools in an operational context.
• Deep familiarity with Workday or comparable ERPs and procurement intake platforms like Zip, Coupa, or SAP Ariba.
• Executive-level communication skills and experience managing globally distributed teams across multiple time zones.

Nice to have

• Experience with Navan, ServiceNow, or similar T&E and ITSM platforms.
• Familiarity with Snowflake or other modern data platforms.
• Background in a high-growth technology company.
• Experience working alongside engineering or AI product teams.

Culture & Benefits

• Opportunity to work with industry-leading agentic AI tools in a high-growth environment.
• Focus on continuous improvement and experimental mindset.
• Collaborative culture that values low-ego individuals and innovation.
• Competitive compensation and comprehensive benefits package.