Sr. Director, Engineering - Digital Video & Audio (dva)

Adobe Adobe · Enterprise · San Jose, CA +2

Senior Director of Engineering for Adobe's Digital Video & Audio business, leading strategy and execution for Premiere Pro and After Effects. The role focuses on integrating generative AI, intelligent agents, and multimodal workflows into creative tools, modernizing core technologies, and scaling AI adoption across a large, mature engineering organization. Requires strong leadership, technical depth in AI/ML, and experience delivering creative products through technology shifts.

What you'd actually do

  1. Define and drive the engineering strategy for DVA across. Lead the next generation of AI-native and agent-based creative experiences.
  2. Integrate generative AI, intelligent agents, and multimodal workflows into creator experiences in partnership with Adobe AI Research and Firefly teams.
  3. Lead engineering execution and advance extensibility frameworks, developer experiences, and AI-powered workflows while delivering seamless experiences across devices and creative surfaces.
  4. Drive the technology strategy for Adobe's Digital Video & Audio portfolio, accelerating AI-powered experiences across Premiere Pro, After Effects, and the platform. Modernize core video and rendering technologies, cloud services, collaboration capabilities, extensibility frameworks, and shared platform infrastructure while balancing architectural transformation with continuous product delivery.
  5. Build and develop a high performing global engineering organization responsible for performance, scalability, reliability, and operational rigor. Foster accountability, technical excellence, innovation, and strong execution while partnering across Adobe to align strategy, priorities, and platform direction.

Skills

Required

  • 15+ years of software engineering experience building and shipping products with a worldwide reach.
  • Experience leading large distributed engineering organizations responsible for complex, business-critical platforms including large-scale desktop applications and cross-platform experiences used by millions of creators.
  • Proven experience integrating AI and machine learning technologies to enhance customer experiences, including generative AI, large language models, agent-based workflows, orchestration frameworks, inference systems, and multimodal experiences.
  • Demonstrated success in modernizing platforms and leading large-scale AI adoption initiatives across mature engineering organizations and codebases.
  • Strong technical depth across native applications, cloud-connected platforms, distributed systems, web, mobile, AI infrastructure, and developer ecosystems.
  • Deep understanding of scalability, reliability, performance optimization, platform architecture, and operational excellence.
  • Proven ability to build and develop leadership teams across directors, managers, architects, and engineers.
  • Experience driving alignment across executive collaborators and partnering with organizations such as Premiere, Illustrator, and Firefly to deliver connected creative workflows.
  • Exceptional communication, organizational leadership, and influence skills.

Nice to have

  • Experience expanding product value and adoption among new and emerging creators, with a strong focus on activation, retention, and business impact.
  • Experience improving engineering productivity through AI-assisted development and modern delivery practices.
  • Passion for creativity tools and a strong understanding of creator workflows, imaging technologies, graphics systems, extensibility, security, compliance, and enterprise requirements.

What the JD emphasized

  • AI-native and agent-based creative experiences
  • Integrate generative AI, intelligent agents, and multimodal workflows
  • AI-powered workflows
  • accelerating AI-powered experiences
  • integrating AI and machine learning technologies to enhance customer experiences, including generative AI, large language models, agent-based workflows, orchestration frameworks, inference systems, and multimodal experiences
  • modernizing platforms and leading large-scale AI adoption initiatives across mature engineering organizations and codebases
  • AI-assisted development

Other signals

  • leading engineering strategy and execution
  • integrating generative AI, intelligent agents, and multimodal workflows
  • modernizing mature architectures, scaled organizations, and integrated AI into customer experiences at global scale