Sr. Director, GTM Process & Operations

Reposted 2 Days Ago
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Menlo Park, CA, USA
In-Office
300K-394K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Lead global GTM systems, data architecture, and revenue intelligence to optimize Quote-to-Cash, Core Sales Technology, and GTM Shared Services. Drive AI-native operations, standardize sales workflows, improve revenue velocity, and partner cross-functionally to embed Snowflake capabilities. Manage and grow a global team, govern buy vs. build decisions, and ensure trusted GTM data for executive decision-making.
Summary Generated by Built In

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.

The Position

Snowflake is seeking a Sr. Director, GTM Process & Operations to own our global GTM operating model, reporting to the SVP of Revenue Strategy and Operations. This executive role defines how Snowflake's revenue motion runs — setting business priorities and processes, leading AI and automation adoption across GTM workflows, and standardizing the Quote-to-Cash and field support functions that directly drive revenue velocity. You will own the operating cadence that connects GTM strategy to execution, lead cross-functional alignment across Sales, Finance, Legal, and Partner Operations, and manage a global team of Directors, Senior Managers, and specialists across QTC, Core Sales, and Shared Services.

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

GTM Business Strategy & Operating Model
Own GTM business priorities, processes, policies, and operating metrics across the revenue motion. Define field requirements and translate GTM strategy into clear business cases and outcome targets. Drive the operating cadence that connects strategy to execution.

AI & Automation Adoption
Lead GTM's adoption of AI-powered tools and workflows within business processes. Build and test AI solutions in the context of GTM operations — own adoption rates and business results. Partner with ET for the platforms, security, controls, integration, and production support that make those solutions reliable and scalable.

Revenue Velocity
Standardize global sales workflows and streamline Quote-to-Cash to reduce cycle times and field friction. Own the business process layer; partner with ET to ensure the underlying data and systems are 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 Partnership
Partner with ET, Sales, Finance, Legal, and Partner Operations to scope GTM capabilities and define investment priorities. Provide clear business requirements and outcomes accountability; partner with ET for architecture, technical standards, and delivery. Avoid creating duplicate decision rights or additional translation layers between the business and technology.

Team Leadership
Manage and grow a global team of Directors, Senior Managers, and specialists across QTC, Core Sales, and Shared Services. Build a product-led culture — one where your team works directly with business users, understands their problems deeply, and drives adoption without requiring intermediary layers.

Snowflake on Snowflake
Serve as the business partner and proving ground for Snowflake's own AI and data capabilities. Represent GTM requirements and adoption outcomes; partner with ET, Product, and Data Engineering — who lead the technology work — to embed Snowflake's capabilities into internal GTM workflows.

 
 
Minimum Qualifications
  • 15+ years of professional experience, with 8+ years leading Sales Operations, GTM Operations, or Revenue Strategy functions in a high-growth B2B SaaS or enterprise technology environment

  • Proven success managing global, multi-layered teams across process design, field enablement, and SLA-driven shared services operations

  • Deep expertise in the Salesforce ecosystem (SFDC, CPQ, CLM) and how it supports GTM business processes

  • Experience defining business requirements and outcome metrics that drive technology investment decisions in partnership with IT or Engineering counterparts

  • 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 team through an AI adoption transition — owning field adoption, business results, and use case validation, with technology delivery handled by a partner organization

  • Track record of working directly with business users without intermediary layers — building credibility as both a domain expert and an operational partner

  • Demonstrated ownership of operating metrics, field productivity programs, or a GTM transformation initiative where business outcomes were the primary measure of success

  • Experience translating ambiguous GTM strategy into structured requirements that a technical team can architect and deliver against

  • Executive presence and credibility with peer VPs and SVPs — able to represent the business clearly and hold the line on requirements without drifting into technology ownership

    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

Skills Required

  • 15+ years of professional experience with 8+ years leading Sales Operations, GTM Systems, or Revenue Intelligence in high-growth B2B SaaS or enterprise technology
  • 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 transition from data delivery to AI-governed data architecture
  • Working knowledge of AI agent deployments in a revenue operations context, including LLM-based agent governance within CRM and data warehouse systems
  • Ownership of metric definitions, data quality infrastructure, or a single source of truth initiative at a revenue data architecture level
  • Track record of leading organizational transformation through technology-driven change and retaining key talent during rapid evolution
  • Executive presence and credibility with peer VPs and SVPs to hold a platform position in cross-functional conversations

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Fair & Transparent Compensation Pay is considered competitive across many roles, and the company highlights structured practices aimed at pay equity. Total compensation is often described as strong at senior levels when equity and bonuses are included.
  • Equity Value & Accessibility Equity grants and an ESPP are standard, making ownership accessible and a meaningful part of total rewards. New-hire RSUs and ongoing equity alongside bonus/commission programs are emphasized.
  • Healthcare Strength Comprehensive medical coverage is offered with programs like Lyra providing up to 25 no-cost therapy/coaching sessions, alongside HSA-eligible plans. Wellness resources and additional clinical programs (such as Omada for certain conditions) broaden the scope of support.

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

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