Principal Technical Program Manager - Agentic AI

Adobe Adobe · Enterprise · San Francisco, CA +1

This role is for a Principal Technical Program Manager focused on Agentic AI within Adobe Express. The primary responsibility is to lead strategic efforts that embed AI into product functionalities and internal development operations, driving efficiency and scalability through AI-enabled workflows, automation, and decision-making. The role involves translating AI capabilities into practical applications, improving team velocity and quality, and championing AI adoption across diverse teams.

What you'd actually do

  1. Guide strategic efforts that embed AI within product functionalities and internal development operations. Encourage adoption of GenAI and Agentic AI to boost speed, quality, and scalability of outcomes.
  2. Identify and implement opportunities to use AI to streamline collaboration across product, engineering, design, and operations. Reduce friction in workflows through automation, intelligent tooling, and AI-assisted decision-making.
  3. Drive clarity, accountability, and transparency across programs using AI-enhanced insights, forecasting, and prioritization. Optimize trade-offs related to resources, sequencing, and timelines using data-driven and AI-supported approaches.
  4. Lead end-to-end delivery of complex technical programs, ensuring alignment across all involved groups while applying AI to improve planning accuracy, risk identification, and execution speed.
  5. Champion AI adoption across teams by introducing tools, frameworks, and guidelines that improve efficiency and scalability. Drive continuous improvement in processes through AI-enabled automation and intelligence.

Skills

Required

  • 10+ years of experience in software engineering, technical program management, or technical product management
  • Experience leading large-scale, cross-functional initiatives across diverse teams
  • Demonstrated success in driving operational efficiency and transformation, ideally employing AI or automation
  • Strong expertise in portfolio, resource, and process management
  • Demonstrated skill in building relationships and influencing across a globally distributed organization
  • Strong applied AI fluency, including experience with Generative AI, Agentic systems, or AI-assisted development workflows
  • Demonstrated ability to use AI to increase cross-functional efficiency, decrease cycle time, and improve team productivity
  • Experience applying AI technologies to products and/or internal tools to drive measurable impact
  • Demonstrated history of applying AI to improve software development lifecycle (SDLC) processes (e.g., code generation, testing, planning, or analytics)
  • Ability to translate complex AI concepts into practical, scalable solutions across teams
  • Strong analytical and systems-thinking mentality with a focus on optimization and automation

Nice to have

  • advanced degree preferred

What the JD emphasized

  • deep practical experience in AI
  • demonstrated ability to boost cross-functional efficiency through AI-enabled workflows, automation, and decision-making
  • understands concepts like Generative AI and autonomous systems, and can apply them at scale
  • translate AI capabilities into practical applications
  • help teams improve velocity, quality, and impact
  • Strong applied AI fluency, including experience with Generative AI, Agentic systems, or AI-assisted development workflows
  • Demonstrated ability to use AI to increase cross-functional efficiency, decrease cycle time, and improve team productivity
  • Experience applying AI technologies to products and/or internal tools to drive measurable impact
  • Demonstrated history of applying AI to improve software development lifecycle (SDLC) processes (e.g., code generation, testing, planning, or analytics)
  • Ability to translate complex AI concepts into practical, scalable solutions across teams
  • Strong analytical and systems-thinking mentality with a focus on optimization and automation

Other signals

  • embedding AI extensively into our products and development lifecycle
  • align AI initiatives with business outcomes
  • lead complex cross-functional programs
  • drive more efficient planning, execution, and delivery through AI-enabled insights and automation
  • translate AI capabilities into practical applications
  • help teams improve velocity, quality, and impact