Product Engineer for AI Growth

Adobe

Basel

Vor Ort

CHF 120.000 - 155.000

Vollzeit

14 Tage+

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Zusammenfassung

Adobe's Brand Visibility team seeks an AI-native engineer to own the full build–measure–learn loop for a frontier AI product. You will sit with customers, prototype in real time, ship features, and build growth loops that connect to Adobe platforms, CRM, and reporting tools — ensuring activation, retention, and expansion are measured rather than guessed.

You will work end-to-end across backend, data pipelines, and frontend, while shaping AI engineering standards and mentoring peers.

Qualifikationen

  • 4+ years building and shipping production software as a generalist.
  • Hands-on with AI-native tools like Codex or Claude Code.
  • Ability to turn an ambiguous customer problem into a working prototype quickly.
  • Sufficient analytics and data modeling to inform product growth funnels.
  • Experience with cloud platforms and DevOps fundamentals.

Aufgaben

  • Partner directly with customers — run technical discovery and rapidly prototype solutions.
  • Own features end-to-end for Brand Visibility, from spec through validation, across backend services, data pipelines, and frontend.
  • Build growth loops that connect Brand Visibility to Adobe platforms and related tools to measure activation and retention.
  • Read funnels to identify bottlenecks and implement solutions to remove them.
  • Design and implement API- and MCP-level integrations across systems.

Kenntnisse

Backend development
Frontend development
Multiple languages
AI-native workflow

Tools

Codex
Claude Code
APIs & integrations

Jobbeschreibung

THE OPPORTUNITY

Are you an AI-native engineer who wants to own the full build–measure–learn loop for a product at the frontier of AI discovery? The Adobe Brand Visibility team builds the systems that determine how enterprise brands appear in ChatGPT, Gemini, and the next generation of AI agents. In this role you'll sit with customers, prototype with them in real time, ship the features they need, and build the growth funnel that tells you what to build next. We move fast, build AI-native, and measure success in real customer outcomes.

What You'll Do
  • 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
What You Need To Succeed
  • 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
Equal Employment Opportunity

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

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