Global Head of Solutions Engineering

The role

You will lead the global Solutions Engineering function across pre-sales and post-sales. You will build and scale the organization, own the technical win for enterprise evaluations, and deepen customer value after deployment.

What you will do

• Define the global vision, strategy, and operating model for Solutions Engineering
• Lead the organization across pre-sales and post-sales
• Design team structure, leadership models, roles, and career paths
• Scale the team across Paris, New York, San Francisco and London
• Hire, develop, and manage Solutions Engineers and future SE leaders
• Allocate Solutions Engineering resources based on opportunity and impact
• Define how Dust qualifies, scopes, and executes complex enterprise technical evaluations
• Partner with Sales leadership to improve technical win rate and velocity
• Build the post-sales motion to help customers adopt advanced use cases
• Turn recurring customer needs into input for Product and Engineering

Required qualifications

• Built, scaled, or significantly transformed a Solutions Engineering, Solutions Architecture, Customer Engineering, Technical Account Management, or comparable customer-facing technical function
• Recruited, retained, and developed exceptional customer-facing technical talent across multiple regions, segments, or customer motions
• Owned measurable GTM outcomes and personally helped win complex enterprise opportunities
• Understand both pre-sales technical execution and how post-sales Solutions Engineering can deepen adoption, value, and expansion
• Combine strong technical credibility across enterprise architecture, integrations, security, governance, and AI systems with clear business judgment
• Can remain close to strategic customers while building an organization that does not depend on you for every decision
• Introduce the structure needed to scale without creating unnecessary process
• Hands-on, low-ego leader who communicates clearly across Sales, Customer Success, AI Deployment, Product, and Engineering
• Advise customers on where AI agents can create meaningful value
• Reason about model selection, prompting, context management, tool use, retrieval, evaluations, reliability, latency, and cost
• Explain the capabilities and limitations of modern AI systems to technical teams, business leaders, and executive stakeholders
• Identify integration, security, data governance, and scalability risks

Benefits

• Competitive compensation
• Substantial support for relocation including finding an apartment in Paris/NYC
• Support with the visa procedure
• Significant equity package
• Health insurance for you and your dependents
• New MacBook Pro or Linux machine, monitor, keyboard, etc.
• Beautiful office in the heart of Paris or NYC
• Opportunity to travel to the US/Paris multiple times a year
• Regular team events and offsite

About the company

Dust empowers AI Operators at the world’s fastest-moving companies to rewire how work gets done with enterprise-grade governance and flexible model choice. The company is backed by Sequoia and serves customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona.