Director of Engineering, AI Functions

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. ABOUT THE ROLE We are seeking a Director of Data Science to lead high-impact analytics and AI initiatives across Snowflake’s Go-To-Market organization. This role sits within the Data, Analytics & AI (DAA) team and reports to the Senior Director of GTM DAA. In this role, you will partner closely with Sales, Marketing, and RevOps leaders to drive data-informed decision making, scale experimentation, and unlock growth through advanced analytics, machine learning model, and AI data products. You will play a critical role in shaping how Snowflake leverages data and AI to accelerate pipeline, improve conversion, and optimize the customer lifecycle. Work Location: This position is based exclusively in Menlo Park, CA. Alternative locations are not available at this time. WHAT YOU’LL DO * Own GTM Data Science strategy Define and execute the roadmap for data science across pipeline generation, sales productivity, and customer growth. * Drive measurable business impact Deliver insights, models, and recommendations across areas such as marketing attribution, forecasting, segmentation, lead scoring, and next best action. * Partner with GTM leadership Act as a trusted advisor to senior stakeholders across Sales, Marketing, and RevOps, influencing strategic planning and operational decisions. * Build and scale a high-performing team Recruit, develop, and lead a team of data scientists, fostering a culture of strong execution, technical excellence, and business impact. * Establish experimentation and measurement frameworks Lead the design and scaling of experimentation, causal inference, and performance measurement across the GTM funnel. * Strengthen data foundations Partner with Analytics Engineering and Business Analytics teams to ensure trusted data models, consistent metrics, and scalable pipelines. * Advance AI in GTM Identify and deploy AI-driven solutions including lead prioritization, customer segmentation, churn prediction, and sales recommendations. WHAT WE’RE LOOKING FOR * 10+ years of experience in data science, analytics, or a related field, with 5+ years in leadership roles * Proven experience supporting GTM functions in a B2B SaaS or high-growth technology company * Strong track record of delivering measurable impact through advanced analytics and/or machine learning * Experience partnering with senior stakeholders across Sales, Marketing, and RevOps * Strong technical foundation in SQL and Python, with experience working on modern data platforms such as Snowflake * Experience building and scaling teams in fast-paced, high-growth environments * Deep understanding of experimentation, forecasting, and customer lifecycle analytics Nice to Have * Experience leading ML projects in GTM domains, such as lead scoring, propensity modeling, churn prediction, and next best action * Hands-on experience building or deploying models for lead prioritization and propensity scoring to drive pipeline efficiency and conversion * Experience with data enrichment strategies, including integrating third-party data sources to enhance customer profiles, segmentation, and targeting * Familiarity with modern data stack tools * Experience applying AI/ML to GTM use cases in enterprise environments 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

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