5 days ago
Base Salary
$275k - $350k/yr
Responsibilities
- Define Dust’s global Solutions Engineering vision, strategy, operating model, team structure, leadership model, career paths, coverage model, and performance systems.
- Lead pre-sales and post-sales Solutions Engineering and scale the organization across Paris, New York, San Francisco, and London.
- Hire, develop, retain, and manage Solutions Engineers and future SE leaders while establishing a high talent bar.
- Own technical strategy and execution for complex enterprise evaluations, including qualification, discovery, demonstrations, solution design, pilots, architecture reviews, security validation, and technical handoffs.
- Partner with Sales leadership to improve technical win rate, evaluation conversion, qualified pipeline coverage, and evaluation velocity.
- Build post-sales Solutions Engineering motions for advanced use cases, complex integrations, new architectures, adoption, value, and expansion.
- Create repeatable playbooks, reference architectures, technical assets, AI-native workflows, resource-allocation methods, and operating standards.
- Partner with Customer Success, AI Deployment, Product, and Engineering to connect customer needs, technical execution, product improvements, and business outcomes.
- Advise customers on AI-agent value, model selection, prompting, context management, tool use, retrieval, evaluations, reliability, latency, cost, integrations, security, governance, and cloud architectures.
- Coach Solutions Engineers and maintain a high technical standard across the organization.
Requirements
- Experience building, scaling, or significantly transforming a Solutions Engineering, Solutions Architecture, Customer Engineering, Technical Account Management, or comparable customer-facing technical function.
- Experience recruiting, retaining, and developing exceptional customer-facing technical talent across multiple regions, segments, or customer motions.
- Experience owning measurable go-to-market outcomes and personally helping win complex enterprise opportunities.
- Understanding of both pre-sales technical execution and post-sales Solutions Engineering for adoption, value, and expansion.
- Strong technical credibility across enterprise architecture, integrations, security, governance, and AI systems, combined with business judgment.
- Ability to remain close to strategic customers while building an organization that does not depend on the leader for every decision.
- Ability to introduce scalable structure without creating unnecessary process.
- Clear communication and hands-on leadership across Sales, Customer Success, AI Deployment, Product, and Engineering.
Benefits
- Competitive compensation of $275K–$350K OTE; the posting does not identify this as base pay.
- Significant equity package in a Sequoia-backed startup.
- Relocation support.
- Health insurance for the employee and dependents.
- New MacBook Pro or Linux machine, monitor, keyboard, and related equipment.
- Office-first, in-person culture with offices in Paris, London, San Francisco, and New York, with flexibility to work from home when appropriate.
- Opportunity to travel to Paris and work with the EU team multiple times per year.
- Regular team events and offsites.
Tech Stack
Categories
Solutions Engineering
About Dust
Dust builds enterprise AI assistants that connect to a company’s knowledge bases and business tools to automate and accelerate knowledge work. The platform offers model choice, governance, and a collaborative interface, sold as a SaaS subscription to mid‑market and enterprise teams. Founded in 2023 and headquartered in Paris, Dust is backed by Sequoia and counts Datadog, 1Password, Vanta, Persona, Cursor, and Clay among its customers.