Dust

Dust

Global Head of Solutions Engineering

New York

Sponsorship not specified$275k-$350kDetected 14 days ago
LinuxDatadogAgentic AIAccount ManagementCustomer SuccessLeadership

Stay score

odds of building a lasting career here

55Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role65
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$100,2981 entry
Level II$124,4262 entries
Level III$148,5333 entries
Level IV$172,6614 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Electronics Engineers, Except Computer (17-2072) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

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About the role

  • ABOUT DUST Work is being rewritten, and the people holding the pen are the ones who actually run it.
  • With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world's fastest-moving companies to rewire how work gets done.
  • With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion.

Responsibilities

  • Lead the organization across pre-sales and post-sales Solutions Engineering.
  • Hire, develop, and manage both Solutions Engineers and future SE leaders.
  • Establish a high talent bar and build a team that combines technical depth, business judgment, executive presence, and customer empathy.
  • Create clear decision rights and operating rhythms across regions and functions.
  • Develop the technical strategy for Dust's most important enterprise opportunities.
  • Build a clear understanding of why Dust wins and loses technical evaluations, then turn those insights into improvements across the organization.
  • Raise performance across discovery, demonstrations, solution design, pilots, architecture reviews, security validation, and technical handoffs.
  • Partner with Customer Success on strategic workshops, complex integrations, new architectures, and technically influenced expansion.
  • Establish a clear interface with AI Deployment, which owns initial implementation, enablement, production use, and first measurable value.
  • Relocation support

Requirements

  • You have built, scaled, or significantly transformed a Solutions Engineering, Solutions Architecture, Customer Engineering, Technical Account Management, or comparable customer-facing technical function.
  • You have recruited, retained, and developed exceptional customer-facing technical talent across multiple regions, segments, or customer motions.
  • You have owned measurable GTM outcomes and personally helped win complex enterprise opportunities.
  • You are a hands-on, low-ego leader who communicates clearly across Sales, Customer Success, AI Deployment, Product, and Engineering.

Compensation

  • $275K-$350K OTE (NY); 130-160k EUR OTE (Paris)

Benefits

  • Define the global vision, strategy, and operating model for Solutions Engineering at Dust.
  • Design the team structure, leadership model, roles, career paths, coverage model, operating standards, and performance systems.
  • Partner with Sales leadership to improve technical win rate, evaluation conversion, qualified pipeline coverage, and evaluation velocity.
  • Establish consistent methods for allocating resources, identifying risk, inspecting opportunities, and learning from outcomes.
  • Significant equity package in a Sequoia-backed startup
  • Health insurance for you and your dependents

Company info

  • We're serving great customers https://dust.tt/customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026.
  • You will define how an AI-native Solutions Engineering organization helps customers move from understanding Dust's potential to making it a critical part of how their companies operate.
  • Build the post-sales Solutions Engineering motion that helps customers adopt more advanced, valuable, and sticky use cases.
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This listing is sourced directly from Dust's careers page and normalized into a canonical job model.