Product Engineer for AI Growth

Adobe Systems
Basel
Workplace: OnsiteFull timeFunction: Marketing & GrowthSkills: ["Rapid prototyping","Customer collaboration","Data-driven decision-making","Mentorship","Guardrail-driven development"]

Own end-to-end features for Brand Visibility in AI discovery, partnering directly with customers to run technical discovery, prototype rapidly, and ship production-ready backend, data pipelines, and frontend components. Build and instrument PLG growth loops that connect Brand Visibility to Adobe platforms, CRM, marketing, customer success, and reporting for measurable activation, retention, and expansion. Design API- and MCP-level integrations, apply AI-native spec-driven development, and help set engineering standards while mentoring others.

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FursaFursa
Adobe Systems
Adobe Systems
1 month ago

Product Engineer for AI Growth

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Own end-to-end features for Brand Visibility in AI discovery, partnering directly with customers to run technical discovery, prototype rapidly, and ship production-ready backend, data pipelines, and frontend components. Build and instrument PLG growth loops that connect Brand Visibility to Adobe platforms, CRM, marketing, customer success, and reporting for measurable activation, retention, and expansion. Design API- and MCP-level integrations, apply AI-native spec-driven development, and help set engineering standards while mentoring others.
Location: Basel
Workplace: Onsite
Employment Type: Full time
Job Function: Marketing & Growth
Seniority: Mid level

Key Responsibilities

  • •Partner with customers to run technical discovery and rapidly prototype solutions to validate ideas.
  • •Own Brand Visibility features end-to-end from spec through validation across backend services, data pipelines, and frontend as needed.
  • •Build and instrument PLG growth loops connecting Brand Visibility to Adobe platforms, CRM, marketing, customer success, and reporting tools.
  • •Analyze funnel bottlenecks and build features that remove constraints to growth.
  • •Design and implement API- and MCP-level integrations that ingest and correlate data across systems, while applying AI-native spec-driven development and guardrails and mentoring engineers.

Key Requirements

  • •4+ years building and shipping production software as a generalist with strong backend skills and comfort in frontend.
  • •Hands-on AI-native experience using tools like Codex or Claude Code across your workflow.
  • •Ability to turn ambiguous customer problems into working prototypes quickly.
  • •Fluency with product/usage data (analytics, data modeling, funnel metrics, reporting) to build and interpret PLG funnel performance.
  • •Working knowledge of PLG concepts such as activation, retention, expansion, churn, segmentation, and PQLs, plus experience with cloud platforms and DevOps fundamentals.
Experience:AIProduct-led growth (PLG)
Skills:Rapid prototypingCustomer collaborationData-driven decision-makingMentorshipGuardrail-driven development
Tech Stack:CodexClaude CodeAPIsMCPCRMCloud platformsDevOpsBackend servicesData pipelinesFrontend

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
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