Manager, GTM Applications Engineering

Snowflake•Menlo Park, CA

14d•$208,000 - $299,000

About The Position

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. Role Overview We are seeking a hands-on Manager, GTM Applications Engineering to join our GTM Applications team at Snowflake. In this leadership role, you will be responsible for overseeing the development, architecture, and long-term product roadmap for our internal customers across the Contract Lifecycle Management (CLM), Post-Sales, Professional Services, and Education (EDU) domains. You will report directly to the Head of GTM Applications. The ideal candidate is a balanced leader capable of managing a hybrid team of both engineers and functional resources. You must be a strong AI adopter and an active proponent of leveraging AI to optimize engineering workflows and build innovative solutions for internal stakeholders. While acting as a manager, you will maintain a hands-on approach by contributing to technical architecture, design validation, code reviews, and writing code when necessary to ensure the delivery of scalable, enterprise-grade solutions.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
10+ years of total experience in enterprise application development, software engineering, or GTM systems.
2–3+ years of direct people management experience, leading technical teams consisting of developers and/or functional analysts.
Deep, hands-on development and architecture experience within the Salesforce CRM ecosystem.
Strong experience with Contract Lifecycle Management (CLM) platforms, specifically DocuSign or Ironclad.
Demonstrated experience as a strong AI adopter, with a proven track record of using AI tools to improve engineering efficiency or embedding AI capabilities into business solutions.
Excellent communication, collaboration, and stakeholder management skills, with the ability to influence Enterprise Technology leadership.

Nice To Haves

Hands-on programming experience with Python for enterprise integrations or data processing.
Familiarity or direct experience leveraging the Snowflake AI Data platform.

Responsibilities

Lead, mentor, and manage a high-performing, hybrid team of engineers and functional resources.
Oversee the end-to-end delivery lifecycle, from requirements discovery and business process design through development, testing, deployment, and post-release support.
Influence the application roadmap and resource allocation for internal stakeholder domains, including CLM, Post-Sales, Professional Services, and Education (EDU).
Foster a culture of engineering excellence, professional growth, and continuous improvement within the team.
Participate in and drive Agile/Scrum ceremonies, including sprint planning, backlog refinement, and retrospectives.
Actively participate in code writing, comprehensive code reviews, technical architecture, and system design validation to ensure production readiness, security, and scalability.
Drive the architecture and customization of Salesforce CRM and integrated go-to-market systems.
Oversee the design and implementation of contract lifecycle workflows utilizing CLM platforms such as DocuSign or Ironclad.
Champion the adoption of AI-assisted development tools within the engineering lifecycle to accelerate debugging, testing, and documentation.
Partner with internal teams to build, embed, or leverage AI solutions that drive automation and productivity for GTM internal customers.
Ensure development best practices are followed, including rigorous version control, CI/CD processes, and platform governance standards.
Act as a trusted advisor to internal business stakeholders across Post-Sales, Prof. Services, and EDU to understand process gaps and translate business needs into technical strategies.
Partner closely with Enterprise Technology leadership to align team roadmaps with broader corporate technology initiatives and infrastructure.
Communicate complex technical architectures, risks, and project statuses clearly to both technical teams and non-technical business leaders.