People Culture Talent

People Culture Talent

Sales Engineer

San Francisco, CA

Sponsorship not specifiedDetected 40 days ago
Cloud PlatformsSalesCollaboration

About the role

  • Sales Partnership - Work side-by-side with AEs throughout the sales cycle.
  • Customer Advocacy - Bring what you hear in evaluations back to product and engineering.
  • 3+ years in sales engineering, solutions engineering, or a similar customer-facing technical role

Responsibilities

  • Solution Design - Build tailored approaches that map the platform's capabilities to specific customer challenges.
  • Enablement & Documentation - Build demo environments, technical resources, and sales enablement materials.

Nice to have

  • Experience with developer tools, infrastructure software, AI products, or enterprise platforms is a strong plus

Skills

  • Strong presentation skills. You can hold a room of engineers and make them lean in

Company info

  • Note: We are recruiting on behalf of our valued client.
  • This opportunity is for a position with their organization, not with People Culture Talent.
  • We're excited to help connect talented professionals with this exceptional team!
  • This venture backed AI infrastructure company is developing the connectivity layer that enables AI platforms and B2B software to take meaningful action within the systems businesses rely on.
  • The founding team brings experience from Google, Meta, and AWS.
  • The team is small, retention rates are exceptional, and the technical standards are high.
  • This is an excellent opportunity for professionals who are excited about meaningful ownership and the chance to help shape the future of collaboration between businesses and AI.
  • Technical Discovery - Go deep with prospective customers on their architecture, workflows, and integration requirements.
  • Technical Evaluation Support - Guide customers through architecture reviews, security discussions, and implementation planning.

This listing is sourced directly from People Culture Talent's careers page and normalized into a canonical job model.