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 RevOps 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.
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
Experience leading a GTM operations or revenue systems team through a transition from data delivery to AI-governed data architecture — not just introducing AI tools, but redesigning how the team's work is organized around them
Working knowledge of AI agent deployments in a revenue operations context, including LLM-based agent governance within CRM and data warehouse systems
Demonstrated ownership of metric definitions, data quality infrastructure, or a "single source of truth" initiative at a revenue data architecture level — serving multiple downstream consumers
Track record of leading organizational transformation through technology-driven change — sustaining momentum through ambiguity and retaining key talent during rapid evolution
Executive presence and credibility with peer VPs and SVPs — able to hold a platform position in cross-functional conversations without defaulting to compliance
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com