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Sr. Director, GTM Systems, Process & Operations

Job in Menlo Park, San Mateo County, California, 94025, USA
Listing for: Streamlit
Full Time position
Listed on 2026-07-26
Job specializations:
  • IT/Tech
    Business Systems & Technology Analysis, Data Engineering, Data Warehousing, Information Security & Data Protection
Job Description & How to Apply Below

Sr. Director, GTM Systems, Process & Operations

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 seeking a Sr. Director, GTM Systems, Process & Operations to lead our global GTM Systems function, reporting to the SVP of Revenue Strategy and Operations. This executive role governs and evolves our end-to-end GTM technology stack, data architecture, and revenue intelligence foundation — overseeing Quote-to-Cash, Core Sales Technology, and GTM Shared Services to maximize field performance and revenue velocity.

As a key leader in Snowflake's AI-native Rev Ops evolution, you will inherit a highly capable team and push it further — ensuring Snowflake's own revenue operations are the best proof point for Snowflake's technology.

Key Responsibilities
  • Platform Strategy & Architecture:
    Own the long-term roadmap for global GTM data and technology. Set architectural direction for the revenue intelligence platform — what gets built, governed, and retired. Maintain rigorous MDM, data hygiene, and release management in partnership with IT.
  • AI-Native Operations:
    Lead a team already at the forefront of AI adoption in GTM. Define how AI agents, automated workflows, and data pipelines replace manual data production — and shift the team's focus toward governance, architecture, and strategic advisory work.
  • Revenue Velocity:
    Standardize global sales workflows and streamline Quote-to-Cash to reduce cycle times and field friction. Ensure the GTM data layer is fast, reliable, and trusted enough for field leaders to act on without verification overhead.
  • Field Support:
    Provide strategic leadership for the Field Support organization, integrating specialized deal support with centralized operational execution to optimize field productivity and customer success.
  • Cross-Functional Leadership:
    Partner with IT, Sales, Product, Finance, Legal, and Partner Operations to scope and deliver complex GTM capabilities. Hold a platform position — setting the agenda for what the revenue data layer enables.
  • Team Leadership:
    Manage and grow a global team of Directors, Senior Managers, and specialists across QTC, Core Sales, and Shared Services. Drive the cultural and capability shifts required to lead — not follow — the pace of change.
  • Buy vs. Build Governance:
    Oversee procurement and integration of third-party technologies. Evaluate AI tooling critically, distinguishing genuine capability from hype.
  • Snowflake on Snowflake:
    Partner with Product and Data Engineering to embed Snowflake's AI and data capabilities directly into internal GTM workflows. This org is the reference architecture for enterprise revenue operations running on Snowflake.
Minimum Qualifications
  • 15+ years of professional experience, with 8+ years leading Sales Operations, GTM Systems, or Revenue Intelligence functions in a high-growth B2B SaaS or enterprise technology environment
  • Proven success managing global, multi-layered teams across system configuration, process design, and SLA-driven shared services operations
  • Deep expertise in the Salesforce ecosystem (SFDC, CPQ, CLM) and master data management platforms
  • Experience governing the integration between Salesforce and a cloud data warehouse (Snowflake, Databricks, or equivalent) as the analytical layer
  • Demonstrated ability to drive executive alignment through data, manage competing priorities, and communicate across technical and business audiences
Preferred Qualifications
  • Experience leading a GTM operations or revenue systems team through a transition from data delivery to…
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