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Clera

Product Marketing Engineer (Mechanical)

San Francisco$130k–$200kfulltimemidAdded today

About this role

An AI software company serving hardware engineers seeks a mechanically-trained marketer to create technical content and go-to-market materials for mechanical engineers. You'll translate complex engineering wins into compelling case studies, sales enablement assets, and educational content that drives adoption.

What you'll do

  • Lead creation of case studies and technical proof points demonstrating product value to mechanical engineers
  • Develop customer onboarding materials and knowledge base resources anticipating adoption friction points
  • Create sales enablement assets including POC guides, champion kits, and presentation decks for technical buyers
  • Author 2–3 deep-dive technical blog posts per quarter and contribute to newsletter copy
  • Own website messaging and product positioning evolution in collaboration with cross-functional teams
  • Support webinars and demand-generation campaigns with engineering-focused content and credibility

What they're looking for

  • Mechanical engineering fundamentals and ME workflows
  • Technical writing and documentation for engineering audiences
  • Translating complex technical concepts for diverse audiences (engineers to executives)
  • Case study and proof-of-concept material development
  • Product marketing and go-to-market strategy
  • Sales enablement and customer onboarding design
  • Content management and knowledge base creation
  • Web messaging and positioning strategy

Benefits

  • Salary $130,000–$200,000 annually based on experience
  • Competitive benefits package at well-funded early-stage tech company
  • On-site work in San Francisco with no remote option
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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 complex mechanical engineering problem you've solved—how would you explain it to both a technical engineer and a C-level executive?
  • Describe a technical document or case study you've created that demonstrably improved adoption or conversion. What metrics proved its impact?
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