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Mesh

Solutions Engineer

United States - Remote (Remote)$170k–$225kmidAdded 1 month ago

About this role

Mesh seeks a Solutions Engineer to serve as the technical bridge between customers and internal teams during the pre-sales lifecycle. You'll design implementation solutions, guide customers through SDK/API best practices, and collaborate with product and sales to accelerate adoption across diverse verticals like payments, gaming, and fintech.

What you'll do

  • Build customer relationships and guide prospects through implementation and adoption
  • Design pre-sales solutions including documentation, processes, and technical infrastructure
  • Optimize tools like Gong, Pylon, Datadog, and Amplitude to improve sales workflows and customer experience
  • Mentor customer teams on SDK and API implementation best practices
  • Triage and resolve technical issues between customers and internal teams
  • Travel occasionally (~monthly) for strategic customers and industry events

What they're looking for

  • API design and troubleshooting
  • SDK implementation guidance
  • Sales engineering or solutions architecture
  • Crypto and blockchain fundamentals
  • Python or other coding languages
  • AI tools (Claude, Codex)
  • API management and demo tools
  • Multi-project management

Benefits

  • Competitive salary: $170,000–$225,000 base (adjusted by location)
  • Equity and commission opportunities
  • Remote work with flexibility (40% office time for hub locations)
  • Fast-moving, high-impact startup environment
  • Professional growth and skill development
  • Opportunity to shape industry innovation in crypto payments
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Mesh

Mesh builds SDK/API solutions for payments, gaming, and fintech integrations. The company is hiring Solutions Engineers to bridge customers and internal teams, designing implementation strategies and guiding technical adoption across diverse verticals.

View all jobs at Mesh

Likely interview questions

  • Describe your experience triaging technical issues between customers and engineering teams—how did you prioritize and communicate complex problems?
  • Walk us through a time you accelerated a customer's implementation timeline using best practices or tooling optimization.