Senior Manager, Machine Learning

Adobe Adobe · Enterprise · San Jose, CA +1

Senior Manager, Machine Learning to lead the Document Cloud AI Team at Adobe. The role involves driving innovation and building transformative document experiences using Gen AI and advanced technology, from concept to customer impact. Responsibilities include leading scientists and engineers, ensuring scalability and reliability, collaborating with stakeholders, fostering a positive team culture, and attracting top talent. Requires strong experience in generative AI, LLMs, ML model development, production deployment, agentic AI systems, MLOps, and cloud ML services.

What you'd actually do

  1. Lead a team of scientists and engineers to deliver new customer-facing Gen AI features powered by advanced technology, from concept to customer impact from proof-of-concept to prod end-to-end.
  2. Advocate for scientific and engineering excellence ensuring scalability, reliability, and performance.
  3. Collaborate with customers, partners, product management, and cross-functional teams to align development with product goals.
  4. Foster a winning culture built on collaboration, transparency, diversity, inclusivity, and shared accomplishments.
  5. Attract, hire, onboard, and retain top talent through mentorship and regular guidance.

Skills

Required

  • 8 years of professional software development experience
  • 3+ years in management
  • generative AI
  • LLMs
  • ML model development
  • production deployment
  • agentic AI systems
  • AI developer tools
  • Python
  • data structures and algorithms
  • MLOps practices and pipelines
  • cloud ML services (AWS, GCP, Azure)
  • MS or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent experience

Nice to have

  • experience with Claude Code and Cursor AI

What the JD emphasized

  • Led and shipped a customer-facing Gen AI feature from proof-of-concept to production end-to-end.

Other signals

  • customer-facing Gen AI features
  • LLMs
  • ML model development
  • production deployment
  • agentic AI systems
  • MLOps practices
  • cloud ML services