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Clera

Forward Deployed Engineer (Founding Customer Engineer)

San Francisco$140k–$185kfulltimemidAdded today

About this role

Join a seed-stage AI startup as the first non-founder hire to build and scale customer relationships for autonomous demo and sales agents. You'll coach AI agents, own end-to-end customer success, translate feedback into product decisions, and create scalable automation playbooks alongside the founding team.

What you'll do

  • Train and optimize AI agents on positioning, buyer personas, pricing, and sales strategies
  • Manage complete customer lifecycle from onboarding through expansion and retention
  • Extract patterns from conversation logs and customer feedback to inform product roadmap
  • Design and build automation workflows using APIs, scripting, and low-code tools to scale operations
  • Partner with CTO to translate customer insights into shipped product features
  • Document and refine repeatable playbooks for customer onboarding and success

What they're looking for

  • Customer success and technical account management
  • AI agent configuration and coaching
  • Workflow automation and API integration
  • Sales engineering and product demo delivery
  • Data analysis and pattern recognition
  • Written and verbal communication
  • Low-code/no-code platform proficiency
  • GTM and revenue operations

Benefits

  • Early-stage equity participation
  • Direct influence on company direction and product decisions
  • Rare opportunity as first non-founder hire at seed stage
  • On-site location in San Francisco
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

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Likely interview questions

  • Walk us through a time you identified a repetitive customer process and built automation to scale it—what tools did you use and what was the impact?
  • How would you approach coaching an AI agent to better handle pricing conversations or objection handling based on real customer interactions?
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