Director Of Software Engineering & Applied Ai (level 6) – Product Success Engineering, Adobe Experience Platform

ADOBE

Base: $186,500 - $358,250 annually; equity: stock ...
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Applied ai and machine learning expertise
Leadership of 15-25+ engineer teams
Agentic-first solution architecture
** Adobe is seeking a Director of Software Engineering & Applied AI to lead the Product Success Engineering team in developing AI-driven solutions that enhance customer support and success within the Adobe Experience Platform. The ideal candidate will have extensive experience in software engineering, AI applications, and leadership, driving innovation and customer-centric outcomes. **

Job Summary

  • This role involves leading the design and development of agentic AI systems that autonomously diagnose, prevent, and resolve customer issues while accelerating adoption.
  • The successful candidate will build, mentor, and scale a world-class multidisciplinary engineering team of 15-25+ engineers, data scientists, and solution architects.
  • Adobe offers competitive compensation including stock options and a culture of innovation where employees are empowered to make an impact.

Matching Summary

Match Score: 75

** Adobe is seeking a Director of Software Engineering & Applied AI to lead the Product Success Engineering team in developing AI-driven solutions that enhance customer support and success within the Adobe Experience Platform. The ideal candidate will have extensive experience in software engineering, AI applications, and leadership, driving innovation and customer-centric outcomes. **

Salary

Base: $186,500 - $358,250 annually; Equity: Stock options included; Benefits: Comprehensive benefits programs not specified

Skills & Requirements

Must-have

  • Applied AI and Machine Learning expertise
  • Leadership of 15-25+ engineer teams
  • Agentic-first solution architecture
  • Cloud-native distributed systems design
  • B2B SaaS customer success methodologies

Nice-to-have

  • Adobe Experience Platform certification
  • Self-service BI and workflow automation
  • Digital adoption platform knowledge
  • Customer engagement strategy experience
  • Inclusive high-performance team culture

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • 10+ years of software engineering experience
  • 5+ years in engineering leadership roles
  • 3-5 years hands-on Applied AI/ML deployment
  • Experience managing teams of 10+ engineers

Work Rights

Not specified

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