Director/Sr Manager, Business Planning & GTM

Role Summary

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.

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.

Snowflake's Frontier Engineering (FE) Operations organization is seeking a Director/Sr. Manager, Business Planning & GTM to design the operating and financial architecture of the business. Rather than operating in team-aligned silos, this function aligns to the entire business, specializing in a unique swimlane with a deep cross-functional mindset and flow. In short: this team designs the business — think architecture.

Reporting to the Sr. Director, Global FE Operations, you will own the planning frameworks, operating model, and analytics foundation that the rest of the operations organization and the FE business run on. You will translate revenue and delivery ambitions into capacity, demand, and organizational plans, and set the data and analytics strategy that makes the business measurable and predictable at scale.

• Own Annual Planning: Lead annual Revenue, Bookings, and Cost planning for the AI Native Engineering (FE) business, partnering with Finance, Sales, and Delivery leadership to build defensible targets and investment cases.
• Drive Capacity & Demand Planning: Build and maintain the capacity and demand planning models that align supply (internal and partner resources) to the forward-looking pipeline and delivery commitments.
• Set Data & Analytics Strategy: Define the data and analytics strategy for the operations org — the metrics hierarchy, source-of-truth data models, and reporting standards that enable data-led decision-making across every swimlane.
• Architect the Operating Model: Design and evolve the operating model — how work flows across Business Ops, Commercial Ops, Business Transformation & GTM, and Ops AI & Tooling — ensuring clear ownership, hand-offs, and governance.
• Shape Future Organization Strategy: Develop the future organization strategy, including headcount and skills roadmaps, org design scenarios, and the sequencing needed to scale the business.
• Partner Cross-Functionally: Serve as a key connector across Finance, Sales, Delivery, and BizOps to ensure planning assumptions and the operating model reflect real business priorities.

Responsibilities

• 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 http://careers.snowflake.com

Requirements

• 8+ years of experience in business planning, strategic finance, business operations, or a related function, with significant exposure to services or GTM organizations.
• 2+ years of people leadership, or demonstrated experience leading cross-functional planning efforts and mentoring analysts.
• Proven ability to build financial and operating models (revenue, bookings, cost, capacity/demand) and translate them into executive-ready recommendations.
• Strong command of operating-model and org-design concepts, with experience defining metrics, data models, and reporting standards.
• High proficiency leveraging AI and analytical tooling to accelerate planning, scenario modeling, and data storytelling; SQL proficiency preferred.
• Excellent communication and influencing skills, with the ability to align diverse stakeholders up to senior leadership.
• Bachelor's degree in Business, Finance, Economics, or a related quantitative discipline; MBA a plus.

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.

About the Company

ABOUT THE AI PRODUCTS TEAM

The AI Products team is part of the broader Marketplace & Collaboration organization and is focused on bringing AI products on top of Snowflake’s data and application platform to help customers discover, share, monetize, and act on data assets & applications more easily.

This team is building the connective tissue of the agentic enterprise: the infrastructure and product surfaces that allow Snowflake customers to seamlessly share datasets, semantic views, and applications, and make them discoverable and executable through Cortex Code, CoWork, and other agentic harnesses.

Our strategy is centered on evolving Snowflake Marketplace for the AI era, including packaging data and intelligence into ready-to-use agentic experiences, and enabling governed access patterns that let AI systems safely operate on enterprise data and applications.

AS A STAFF SOFTWARE ENGINEER ON AI PRODUCTS, YOU WILL

WHY JOIN THIS TEAM

This is a chance to shape how Snowflake customers expose data and applications to AI systems in a secure, governed, and highly usable way. The work sits at the intersection of platform engineering, product innovation, and AI transformation, and it directly influences how the Data Cloud evolves for the next generation of customers and builders.