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

Adobe Adobe · Enterprise · San Jose, CA +1

Director of Software Engineering & Applied AI to lead the development of AI agents, tooling, and automation for customer support, operation, and scaling of Adobe Experience Platform (AEP). Focuses on agentic-first solutions for troubleshooting, proactive monitoring, and adoption acceleration, transforming reactive support into proactive, data-driven customer success operations.

What you'd actually do

  1. Define and execute the technical strategy for AI-powered customer success solutions across Adobe's AEP portfolio, aligning engineering initiatives with business objectives and customer outcomes
  2. Lead the design and development of agentic AI systems that autonomously diagnose, prevent, and resolve customer issues while accelerating adoption and value realization
  3. Build, mentor, and scale a world-class multidisciplinary engineering team of 15-25+ engineers, data scientists, and solution architects, fostering a culture of innovation, customer obsession, and technical excellence
  4. Oversee the end-to-end development lifecycle of intelligent automation systems, AI agents, and customer intelligence platforms that transform reactive support into proactive, data-driven customer success operations
  5. Champion the development of scalable automation solutions targeting 85%+ first contact resolution rates, 99.9%+ platform uptime, and measurable customer health score improvements

Skills

Required

  • 10+ years of software engineering experience
  • 5+ years in engineering leadership roles managing teams of 10+ engineers
  • Applied AI/ML expertise
  • 3-5 years of hands-on experience deploying production AI systems
  • Deep understanding of LLMs
  • Generative AI
  • Prompt engineering
  • RAG architectures
  • Architecting and delivering large-scale, cloud-native platforms and distributed systems
  • Microservices
  • API design
  • Enterprise integration patterns
  • Customer intelligence platforms
  • Analytics systems
  • Data pipeline architecture
  • Real-time decision engines
  • Predictive modeling systems
  • B2B SaaS customer success methodologies
  • Customer health scoring
  • Churn prediction
  • Adoption analytics
  • Expansion revenue optimization
  • Leading customer-facing engineering teams or technical account management organizations
  • Exceptional communication skills
  • Ability to influence senior stakeholders
  • Present to executive leadership
  • Drive alignment across diverse technical and business teams
  • Hire, develop, and retain top engineering talent
  • Fostering inclusive, high-performance team cultures

Nice to have

  • AI agents
  • tooling
  • automation
  • customer support
  • operate
  • scale
  • end-to-end AEP and Apps implementation
  • intelligent automation
  • AI agents
  • AEP portfolio
  • Troubleshooting & Support
  • automated issue diagnosis
  • intelligent ticket creation/routing
  • self-service troubleshooting capabilities
  • Run & Operate
  • proactively monitor
  • remediate
  • scale AEP
  • implementation best practices
  • prevent support issues
  • automated remediation workflows
  • performance optimization agents
  • predictive scaling mechanisms
  • AEP customer-specific implementation reliability
  • Adoption & Value
  • advise
  • accelerate
  • grow AEP customer adoption and value realization
  • customer journey intelligence systems
  • use case & feature adoption recommendations
  • usage pattern analysis tools
  • solution architects
  • data scientists
  • scalable systems
  • industry benchmarks
  • product success engineering
  • measurable business impact
  • improved customer outcomes
  • Strategic Leadership & Vision
  • technical strategy
  • AI-powered customer success solutions
  • Adobe's AEP portfolio
  • engineering initiatives
  • business objectives
  • customer outcomes
  • agentic AI systems
  • autonomously diagnose
  • prevent
  • resolve customer issues
  • accelerating adoption and value realization
  • Team Management & Organizational Development
  • mentor
  • scale
  • multidisciplinary engineering team
  • data scientists
  • solution architects
  • culture of innovation
  • customer obsession
  • technical excellence
  • Collaborate effectively
  • vertically aligned engineering teams
  • product management
  • UX design
  • field organizations
  • seamless integration
  • customer success solutions
  • AEP
  • Product & Technical Execution
  • end-to-end development lifecycle
  • intelligent automation systems
  • AI agents
  • customer intelligence platforms
  • transform reactive support
  • proactive
  • data-driven customer success operations
  • Drive the implementation
  • customer-facing analytics
  • predictive insights
  • recommendation engines
  • embedded directly into AEP's user experience
  • enable self-service optimization
  • Customer Success Engineering Innovation
  • Champion the development
  • scalable automation solutions
  • 85%+ first contact resolution rates
  • 99.9%+ platform uptime
  • measurable customer health score improvements
  • Establish engineering best practices
  • AI model deployment
  • system reliability
  • operational excellence
  • ensuring compliance
  • security
  • privacy
  • regulatory standards
  • Cross-Functional Partnership & Influence
  • technical voice
  • customer success engineering
  • executive forums
  • translating complex technical concepts
  • business impact
  • strategic initiatives
  • Partner closely
  • Forward Deployment Engineers
  • Field Support Consultants
  • Customer Success Managers
  • understand customer challenges
  • translate them into scalable engineering solutions
  • Product and growth mindset
  • translate customer challenges into scalable, automated solutions
  • drive adoption and business impact
  • Experience leading customer-facing engineering teams or technical account management organizations
  • demonstrated ability to translate customer feedback into product improvements
  • translate complex technical concepts into business impact and strategic initiatives
  • fostering inclusive, high-performance team cultures focused on customer outcomes

What the JD emphasized

  • AI agents
  • agentic AI systems
  • intelligent automation
  • customer success solutions
  • customer support
  • customer outcomes
  • customer challenges
  • customer feedback
  • customer health score improvements
  • customer adoption
  • customer journey intelligence

Other signals

  • AI agents
  • intelligent automation
  • customer support
  • LLMs
  • generative AI
  • RAG