Senior Manager, Product Success Engineering

Adobe Media and Data Science Research (MDSR) Laboratory

San Jose, California, US
Base: $160,200 - $320,000 annually (california: $2...
Ai agents for automated diagnosis
Scalable troubleshooting systems
Cloud-native platforms and distributed systems
Lead the development of AI agents, tooling, and automation focused specifically on customer troubleshooting and support solutions to revolutionize customer support through intelligent automation

Job Summary

  • Lead the development of AI agents, tooling, and automation focused specifically on customer troubleshooting and support solutions to revolutionize customer support through intelligent automation.
  • Build, mentor, and lead a high-performing engineering team of 8-12 engineers and data scientists, fostering a culture of innovation, customer obsession, and technical excellence.
  • Champion the development of scalable troubleshooting automation solutions targeting 90%+ automated issue diagnosis accuracy and 75%+ first contact resolution rates.

Matching Summary

Lead the development of AI agents, tooling, and automation focused specifically on customer troubleshooting and support solutions to revolutionize customer support through intelligent automation.

Salary

Base: $160,200 - $320,000 annually (California: $221,000 - $320,000); Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • AI agents for automated diagnosis
  • Scalable troubleshooting systems
  • Cloud-native platforms and distributed systems
  • Microservices and API design
  • Applied AI/ML production systems
  • LLMs, generative AI, RAG architectures

Nice-to-have

  • Customer obsession and technical excellence
  • Proactive, automated issue resolution
  • Industry benchmarks for customer support
  • Human ingenuity and creativity

Key Requirements

  • Bachelor's degree in Computer Science or Engineering
  • 8+ years software engineering experience
  • 3+ years engineering leadership experience
  • 2-4 years hands-on AI/ML deployment
  • Experience with B2B SaaS customer support

Work Rights

Not specified

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