Manager, GTM Applications Engineering (Salesforce)

TL;DR

Manager, GTM Applications Engineering (Salesforce): Overseeing the development and architecture of internal GTM applications across CLM, Post-Sales, Professional Services, and Education domains with an accent on Salesforce CRM customization and AI integration. Focus on leading a hybrid team of engineers and functional experts to deliver scalable enterprise-grade solutions and optimizing engineering workflows using AI.

Location: US-CA-Menlo Park

Salary: $208K – $299K

Company

Snowflake is a data cloud company powering the era of the agentic enterprise by reinventing how work gets done through AI-native thinking.

What you will do

• Lead, mentor, and manage a hybrid team of engineers and functional resources.
• Oversee the end-to-end delivery lifecycle for internal domains including CLM, Post-Sales, Professional Services, and Education (EDU).
• Drive the architecture and customization of Salesforce CRM and integrated go-to-market systems.
• Design and implement contract lifecycle workflows using platforms like DocuSign or Ironclad.
• Champion the adoption of AI-assisted development tools to accelerate debugging, testing, and documentation.
• Collaborate with internal business stakeholders to translate process gaps into technical strategies.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 10+ years of experience in enterprise application development, software engineering, or GTM systems.
• 2–3+ years of direct people management experience leading technical teams.
• Deep hands-on development and architecture experience within the Salesforce CRM ecosystem.
• Strong experience with Contract Lifecycle Management (CLM) platforms such as DocuSign or Ironclad.
• Proven track record as a strong AI adopter, using AI tools to improve engineering efficiency.

Nice to have

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

Culture & Benefits

• Experimental mindset that encourages rapidly testing emerging capabilities to deliver results.
• Culture of engineering excellence, professional growth, and continuous improvement.
• Low-ego environment that thrives in dynamic and fast-moving settings.
• Focus on AI-native workflows, treating AI as a high-trust collaborator.