Global Head of Sales Engineering

The role

The Global Head of Sales Engineering will build and lead a global pre-sales technical function across North America, EMEA, and APJ. This leader will define the operating model, methodology, and organizational design while serving as a bridge between commercial teams, Product, and Engineering.

What you will do

• Build the global Sales Engineering function and leadership bench across North America, EMEA, and APJ
• Define and implement the global SE operating model, methodology, playbooks, and governance
• Recruit, develop, and retain high-performing technical sales talent
• Operate as a hands-on player-coach in strategic and complex deals
• Lead discovery, solution architecture, technical presentations, and proof-of-concept engagements
• Engage with clients on Snowflake, Databricks, Microsoft Fabric, and related cloud data ecosystems
• Lead executive and technical client conversations on how AI transforms investment management workflows
• Serve as the primary feedback loop between the field and Product and Engineering teams
• Partner with Marketing to develop technical content and competitive positioning materials
• Define the vision and strategy for a global, AI-native Sales Engineering function

Required qualifications

• Demonstrated success building a Sales Engineering function from the ground up
• 15+ years of experience in enterprise technology, including Sales Engineering, technical pre-sales, or solutions consulting leadership
• Experience operating at VP level or above with direct leadership accountability for teams across North America, EMEA, and APJ
• Hands-on working knowledge of Snowflake, Databricks, and/or Microsoft Fabric
• Demonstrated application of AI in client solutions and in the design or evolution of internal SE workflows
• Experience redesigning an SE organization and challenging legacy structures
• Technical depth and GTM judgment to move between architecture discussions and pipeline reviews
• Track record of driving platform adoption and consumption growth
• Strong communication and executive presence
• Willingness to travel globally

Nice to have

• Leadership experience within a hyperscaler, cloud data platform, or AI-native enterprise technology company
• Experience in financial services, investment management, or another data-intensive regulated industry
• Knowledge of financial benchmark and index data, ESG data, performance measurement, regulatory reporting, or reference data management
• Experience with APIs, modern data integration, cloud security, governance, and enterprise data architecture
• Advanced degree in Computer Science, Engineering, Finance, Mathematics, or a related field

Benefits

• Competitive base salary
• Performance-based incentive compensation
• Health, dental, and vision
• Retirement
• Flexible, remote-friendly work environment

Before you apply

• Candidates unable to evidence experience building a Sales Engineering function from the ground up will not be advanced
• Only selected candidates will be contacted for interviews

About the company

Rimes provides the Intelligence Fabric for Capital Markets, a trusted data network and intelligence architecture. The company serves institutional investors, asset managers, and service providers.