Senior Manager, Product Success Engineering

Adobe

Base: $160,200 - $320,000 annually; location-based...
Not specified
Applied ai and generative ai expertise
Llm, rag architectures, and prompt engineering
Cloud-native distributed system architecture
Adobe is seeking a Senior Manager for Product Success Engineering to lead the development of AI-driven customer support solutions within the Adobe Experience Platform. The ideal candidate will bring extensive experience in software engineering, particularly in Applied AI, and will manage a team focused on automating customer support processes. ###

Job Summary

  • The role focuses on leading the design and development of Agentic-first solutions to revolutionize customer support through intelligent automation.
  • Candidates must build and mentor a high-performing team of 8-12 engineers and data scientists to drive measurable improvements in support resolution rates.
  • The position requires translating complex troubleshooting challenges into scalable AI-powered solutions that achieve over 90% automated issue diagnosis accuracy.

Matching Summary

Match Score: 85

Adobe is seeking a Senior Manager for Product Success Engineering to lead the development of AI-driven customer support solutions within the Adobe Experience Platform. The ideal candidate will bring extensive experience in software engineering, particularly in Applied AI, and will manage a team focused on automating customer support processes. ###

Salary

Base: $160,200 - $320,000 annually; Location-based variance applies; Equity and Annual Incentive Plan eligible

Skills & Requirements

Must-have

  • Applied AI and Generative AI expertise
  • LLM, RAG architectures, and prompt engineering
  • Cloud-native distributed system architecture
  • Leading engineering teams of 5+ engineers
  • Customer support platform and diagnostic tools
  • 8+ years software engineering experience

Nice-to-have

  • Experience with Adobe Experience Platform
  • Self-service diagnostic tool development
  • Strong customer obsession culture
  • Influence across multidisciplinary teams
  • Enterprise SaaS product mindset

Key Requirements

  • Bachelor's degree in Computer Science or Engineering
  • 3+ years in engineering leadership roles
  • 2-4 years hands-on production AI/ML deployment
  • Proven track record managing teams of 5+ engineers

Work Rights

Not specified

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