Drimva

Sequen

VP, Field Engineering

$270K–$300K

United States · Remote · Director · Full-time · Posted Sep 9, 2026

Experience
8–12+ years in pre-sales / sales engineering / solutions engineering; at least 4 years leading Field Engineering or Sales Engineering teams.
Education
Bachelor's degree or comparable experience, ideally in a technical field.

About the job

Build and lead Sequen’s Field Engineering function, team, and technical pre-sales playbook, while guiding strategic customer evaluations and connecting field insights to product and go-to-market decisions.

What you'll do

  • Hire, coach, and scale a team of 4–5 Field Engineers; establish its hiring process and operating rhythm.
  • Define the demo, POC, proof-of-value, technical qualification, and collateral frameworks for technical pre-sales.
  • Lead complex strategic evaluations and translate customer requirements and evaluation learnings into feedback for product, ML, and forward deployed engineering.

What they ask for

  • 8–12+ years of pre-sales, sales engineering, or solutions engineering experience, including at least 4 years leading Field Engineering or Sales Engineering teams.
  • Built or substantially scaled a technical pre-sales function and led technical sales for technical products.
  • Track record of driving technical wins on seven- and eight-figure enterprise deals.
  • Strong customer-facing communication skills; bachelor's degree or comparable experience, ideally in a technical field.

Nice to have

  • Pre-sales experience in retail, e-commerce, marketplaces, or travel; hands-on depth in recommendation, ranking, search, or personalization systems.
  • Experience scaling teams rapidly, building POC or proof-of-value motions tied to specified commercial models, or working with forward deployed engineering or professional services.

Pay

$270K – $300K (base salary)

Tools

infrastructure, ML/AI, data platforms, search, recommendation, ranking, personalization

AI focus

Leads technical pre-sales for a platform combining frontier ranking models and production infrastructure; supports customer evaluations and feeds learnings back to product and ML.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)