Lead Solutions Engineer
ParisFull-timePosted 2mo ago
About the role
Dust is hiring a Lead Solutions Engineer to build and lead the global Solutions Engineering organization, owning the technical win during complex enterprise evaluations and deepening value post-deployment. This founder-style role combines hands-on engagement with building scalable processes, reporting to GTM leadership, and coordinating with Sales, Customer Success, AI Deployment, Product, and Engineering.
Responsibilities
- Define the global vision, strategy, and operating model for Solutions Engineering at Dust.
- Lead the organization across pre-sales and post-sales Solutions Engineering.
- Design team structure, leadership model, roles, career paths, coverage model, operating standards, and performance systems.
- Scale the team across Paris, New York, San Francisco and London.
- Hire, develop, and manage Solutions Engineers and future SE leaders.
- Establish a high talent bar and build a team with technical depth, business judgment, executive presence, and customer empathy.
- Create clear decision rights and operating rhythms across regions and functions.
- Allocate Resources based on opportunity complexity, customer impact, strategic importance, and likelihood of success.
- Build systems and leadership capacity to scale without linear headcount growth.
- Define how Dust qualifies, scopes, and executes complex enterprise technical evaluations.
- Partner with Sales to improve technical win rate, evaluation velocity, and pipeline coverage.
- Develop the technical strategy for major enterprise opportunities.
- Analyze win/loss insights to drive improvements across the organization.
- Ensure successful evaluations transition into deployment with clear use cases and ownership.
- Raise performance across discovery, demonstrations, solution design, pilots, architecture reviews, security validation, and handoffs.
- Build post-sales motion to drive adoption of advanced use cases.
- Collaborate with Customer Success on strategic workshops and complex integrations.
- Establish interface with AI Deployment for initial implementation and measurable value.
- Turn successful engagements into reusable playbooks and assets.
- Establish methods for resource allocation, risk identification, opportunity inspection, and learning from outcomes.
- Reduce dependence on individual heroics while preserving judgment for complex scenarios.
- Raise Dust's technical positioning across enterprise AI, integrations, security, governance, and architecture.
- Advise on AI value creation, model selection, prompting, and system design.
- Explain AI capabilities and limitations to technical and executive stakeholders.
- Identify integration, security, data governance, and scalability risks.
- Reason about APIs, authentication, data connectors, and cloud architectures.
- Design evaluation approaches linking AI performance to outcomes.
- Coach SEs through difficult AI and architectural decisions.
- Recognize excellent technical work and maintain high standards.
Qualifications
- Built, scaled, or significantly transformed a Solutions Engineering, Solutions Architecture, Customer Engineering, Technical Account Management, or similar function.
- Recruited, retained, and developed exceptional customer-facing technical talent across multiple regions or motions.
- Owned measurable GTM outcomes and helped win complex enterprise opportunities.
- Understood both pre-sales execution and how post-sales SEs deepen adoption and expansion.
- Combined strong technical credibility across enterprise architecture, integrations, security, governance, and AI systems with clear business judgment.
- Able to stay close to strategic customers while building an organization that does not rely on you for every decision.
- Introduced scalable structure without unnecessary processes.
- Hands-on, low-ego leader who communicates clearly across Sales, Customer Success, AI Deployment, Product, and Engineering.
Skills
Required:Solutions Engineering leadershipEnterprise AI strategyPre-sales and post-sales alignmentTeam building and coachingCommunication and stakeholder management
Benefits
- Competitive compensation
- Significant relocation support including Paris/NYC apartment assistance and visa support
- Significant equity package in a Sequoia-backed startup
- Health insurance for employee and dependents
- New MacBook Pro or Linux machine, monitor, keyboard, etc.
- Beautiful office in the heart of Paris or NYC
- Travel opportunities to the US/Paris several times a year
- Regular team events and offsite
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Dust
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