Flow Engineering

Flow Engineering

Field Account Executive, Mid-Market

Los Angeles · Mid

Sponsorship not specified$30k-$50kDetected 27 days ago
Agentic AISalesAccount ManagementLeadership

About the role

  • Flow is seeking a driven Account Executive to grow our mid-market customer base.

Responsibilities

  • Own the full sales cycle: prospect, qualify, run discovery and demos, negotiate, and close new business.
  • Drive velocity across a high volume of opportunities while keeping rigor in every deal.
  • Partner closely with product and engineering to relay customer feedback and influence the roadmap.
  • Collaborate with leadership to refine positioning, pricing, and go-to-market strategy.
  • Strong discovery and consultative selling skills: you listen first and lead with customer problems.
  • Comfortable working in a high-ownership, fast-paced environment where you build process as you go.

Nice to have

  • 5+ years of sales experience, including 3+ years of closing in B2B SaaS, ideally selling to technical or engineering buyers.
  • Track record of consistently hitting or exceeding quota across a high volume of deals.
  • Experience running efficient sales cycles with multiple stakeholders, including both technical and executive audiences.

Skills

  • Familiarity with engineering, PLM, or requirements management tools is a plus.
  • Speed over everything: move fast, run experiments, learn quickly.
  • Competitive salary and meaningful equity.
  • Health, dental, and vision coverage.

Compensation

  • Competitive salary and meaningful equity.

Benefits

  • Flexible time off and support for continued learning and staying current with the AI ecosystem.

Company info

  • Build and manage a healthy pipeline of growing engineering teams, hardware companies, and aerospace/defense customers.
  • Develop a deep understanding of Flow's platform and the technical workflows of our customers, including how AI agents support systems engineering.

This listing is sourced directly from Flow Engineering's careers page and normalized into a canonical job model.