Added
1 hour ago
Type
Full time
Salary
Salary not provided

Related skills

cloud infrastructure kubernetes api sales engineering llm

πŸ“‹ Description

  • Own technical wins: Lead fast, well-scoped proofs of concept from initial architecture discussions
  • Lead technical conversations: Engage confidently with staff engineers, platform leaders, and
  • Build rigorous evaluations: Design and execute comparisons against incumbent coding tools
  • Manage enterprise technical gates: Lead security, data residency, deployment, and network
  • Troubleshoot in real time: Diagnose and resolve integration, configuration, authentication, IDE
  • Feed customer insights into the product: Capture recurring technical challenges, customer feedback

🎯 Requirements

  • Proven experience as a Sales Engineer, Solutions Architect, Field Engineer, or similar technical
  • Hands-on experience with AI coding agents (e.g., Claude Code, Cursor, Codex, Copilot) and the
  • Working knowledge of model serving and integration, including OpenAI-compatible APIs, inference
  • Strong technical troubleshooting skills with confidence in working in terminals, customer
  • Proven ability to convert technical evaluations into signed deals, including experiencing
  • Strong communication, presentation, analytical, problem-solving, and stakeholder-management skills

🎁 Benefits

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