Sr. Director, GTM Systems, Process & Operations

Posted 5 Days Ago
Be an Early Applicant
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.

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.

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 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

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.

  • Equity Value & Accessibility Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
  • Fair & Transparent Compensation Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
  • Parental & Family Support Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.

Snowflake Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.

Gallery

Gallery

Similar Jobs

Square Logo Square

Software Engineer

eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Remote or Hybrid
8 Locations
12000 Employees
121K-213K Annually

Cloudera Logo Cloudera

Artificial Intelligence Engineer

Artificial Intelligence • Cloud • Software • Big Data Analytics
In-Office
San Jose, CA, USA
3092 Employees

Wipfli Logo Wipfli

Consultant

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
Irvine, CA, USA
3000 Employees
88K-118K Annually

Wipfli Logo Wipfli

Consultant

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
3000 Employees
88K-118K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account