Added
8 days ago
Type
Full time
Salary
Salary not provided

Related skills

cloud infrastructure enterprise sales kubernetes ai sales engineering

πŸ“‹ Description

  • Lead fast, well-scoped proofs of concept from initial architecture discussions through successful
  • Engage confidently with staff engineers, platform leaders, and technical decision-makers on model
  • Design and execute comparisons against incumbent coding tools, measuring factors such as accuracy
  • Lead security, data residency, deployment, and network architecture reviews, bringing in product
  • Diagnose and resolve integration, configuration, authentication, IDE, and workflow issues during
  • Capture recurring technical challenges, customer feedback, and product opportunities from live

🎯 Requirements

  • Proven experience as a Sales Engineer, Solutions Architect, Field Engineer, or similar technical
  • Hands-on experience with AI coding agents such as Claude Code, Cursor, Codex, Copilot, or
  • Working knowledge of LLM serving and integration, including OpenAI-compatible APIs, inference
  • Strong technical troubleshooting skills, with confidence working in terminals and customer
  • Demonstrated ability to convert technical evaluations into signed business, including experience
  • Experience benchmarking AI models or agents across dimensions such as accuracy, cost, latency, or

🎁 Benefits

  • Competitive salary based on experience and level.
  • Flexible, remote-first working environment within a global team.
  • Equity options.
  • Opportunity to collaborate with cloud and AI infrastructure specialists on a rapidly evolving
  • Fast-paced workflow with short feature-development cycles, often completed within 1–4 weeks.
  • Dedicated time for personal projects and professional self-improvement, with approximately 10% of
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