Technical Lead - Adobe Express (presentations)

Adobe Adobe · Enterprise · Bucharest, Romania

Technical Lead for Adobe Express Presentations feature, focusing on AI/ML integration for generative slide layouts and copywriting. The role involves owning architecture, design, and delivery of large-scale systems, mentoring engineers, and collaborating with Product/Design to shape user-focused solutions. Requires strong software engineering experience, system design, distributed architectures, API development, and hands-on AI/ML experience with LLMs and TensorFlow.js in production. Bonus for experience with LLM systems, agent architectures, and tool orchestration.

What you'd actually do

  1. Own architecture, design, and delivery of large-scale systems powering Adobe Express Presentations
  2. Drive technical roadmap and partner with Product/Design to define impactful solutions
  3. Lead architectural decisions, balancing quality, performance, and long-term scalability
  4. Establish and enforce engineering best practices (code quality, testing, reviews)
  5. Mentor engineers and elevate team capabilities through coaching and feedback

Skills

Required

  • 8+ years of software engineering experience with strong ownership of complex systems
  • Proven experience with system design, distributed architectures, and API development
  • Demonstrated technical leadership, mentorship, and cross-team influence
  • Strong communication skills and ability to partner with multiple stakeholders
  • Hands-on AI/ML experience - LLMs, TensorFlow.js, or similar in production
  • Product mindset

Nice to have

  • designed and shipped production-grade LLM systems, including agent architectures and tool orchestration
  • Experience building AI features that required reasoning chains, memory handling, or multiagent coordination

What the JD emphasized

  • Hands-on AI/ML experience
  • LLMs
  • TensorFlow.js
  • agent architectures
  • tool orchestration

Other signals

  • driving adoption of modern technologies, including AI/ML, in production system
  • Hands-on AI/ML experience - LLMs, TensorFlow.js, or similar in production
  • Product mindset - you ask "does this actually help the user?" before shipping