Product Engineer for AI Growth

REQUIREMENTS

• 4+ years building and shipping production software as a generalist — strong in backend, comfortable in frontend, fluent in more than one language

• You already work AI-native — hands-on with tools like Codex or Claude Code, applied across your full workflow rather than just autocomplete

• You can take an ambiguous customer problem and turn it into a working prototype quickly

• Enough fluency with product and usage data — analytics, data modeling, funnel metrics, reporting — to build the PLG funnel and read what it's telling you

• Working knowledge of PLG concepts — activation, retention, expansion, churn, segmentation, PQLs, product-led enterprise conversion — so you can connect what you build to how it grows

• Experience with cloud platforms and solid DevOps fundamentals

WHAT YOU'LL BE DOING

• Partner directly with customers — run technical discovery and rapidly prototype solutions with them to validate ideas

• Own features end-to-end for Brand Visibility, from spec through validation, across backend services, data pipelines, and frontend where it's needed

• Build and instrument the PLG growth loops that connect Brand Visibility to Adobe platforms, CRM, marketing, customer success, and reporting tools — so activation, retention, and expansion are measured, not guessed

• Read the funnel to find where growth is constrained — then build what removes that bottleneck

• Design and implement API- and MCP-level integrations that ingest and correlate data across systems

• Work AI-native across your whole workflow — spec-driven development, validation criteria written before implementation, and guardrails that catch mistakes before they ship

• Help shape the team's AI engineering standards and mentor other engineers

PERKS AND BENEFITS

Benefits programs available at Adobe.