AI Developer Feedback Loop Intelligence Developer

Yentrix Works

Remote · $80k – $100k / year · Full-time · Posted 4 months ago

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About the role

Technical documentation should improve based on how developers actually interact with it. When 40 developers have viewed the same API reference page and 35 of them opened a Stack Overflow tab within 2 minutes, that's a signal the documentation failed. When 500 developers read a tutorial and 460 of them successfully made their first API call, that's a signal worth amplifying. We build documentation platforms for 95 API companies, and our analytics tell documentation teams what content developers view. What they don't tell is why certain content fails and what specifically to fix. You'll build the feedback intelligence layer: connecting developer behavior signals (drop-off points, search queries after reading, support ticket correlations, copy-without-understanding patterns) to specific documentation quality issues, and generating actionable recommendations for documentation authors. This is a mid-level engineering role with clear scope and direct product impact. Documentation authors will use your output to prioritize what to fix. You'll work closely with the product manager who owns the documentation analytics product to validate that the intelligence you're surfacing actually changes what authors do.

Fully remote.

Responsibilities

Build developer behavior signal pipeline connecting page interactions, search patterns, and support tickets
Implement documentation quality issue attribution linking behavior signals to specific content failures
Generate actionable improvement recommendations for documentation authors per content piece
Develop documentation health scoring across the content library
Create author-facing intelligence dashboard surfacing top improvement opportunities
Track documentation quality improvement rates after author action on recommendations

Requirements

3+ years in data engineering, product analytics, or developer experience tooling
Strong Python and SQL skills with product analytics familiarity
Understanding of developer experience and technical documentation quality factors
Experience building recommendation or intelligence systems for non-technical users
Ability to collaborate with product managers to validate that analytics drive behavior change