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AI Developer Feedback Loop Intelligence Developer

Hunter Carvalho

Full-time · Job · New_York

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.

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

Benefits

  • Fully remote with flexible schedule
  • Health and dental insurance
  • $2,500 annual learning budget
  • Equity options
  • 401(k) with match

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Categories

AI Product & Strategy Automation & AI Workflows

Skills

python sql pandas openai api fastapi

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Job Type

Full-time

Level

Mid-Level

Language

English

Salary Range

$80k – $100k / year

AI Expertise

AI Product & Strategy Automation & AI Workflows

Skills

python sql pandas openai api fastapi statistics

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