Director, Engineering – Agentic Product

Adobe

Director of Engineering overseeing Adobe's AI-native Agentic Product team driving quality and execution. Leading technical execution of Adobe's Agentic Product for creators globally.

Posted 5/22/2026full-timeSan Jose • California, New York, Washington • 🇺🇸 United StatesLead💰 $206,400 - $384,675 per yearWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI product engineeringML product engineeringLLM APIsagent frameworksarchitecture decisionsdesign reviewagent behavior evaluationcodingquality assurancecontinuous innovation

Soft Skills

leadershipcross-functional collaborationproduct sensibilityuser experience intuitionchange managementeffective partnershipadaptabilityexecution focusteam healthcommunication

Tools & Technologies

Adobe platformsdata protection systemsevaluation frameworkscreative workflowstask execution systemsagentic standardsmodel capabilities ecosystemengineering practicesdesign toolsproject management tools

Industry Keywords

AIMLgenerative modelsuser-facing productsconsumer audienceenterprise audienceengineering processestechnical strategyproduct managementdesign collaboration

About the role

Key responsibilities & impact

Lead the engineering execution of Adobe's Agentic Product — collaborating to define what the agent does, driving the quality of its outputs, and ensuring it ships on a predictable cadence across surfaces.
Grow and lead the engineering team building Agentic Product capabilities, driving technical strategy, team health, and execution velocity.
Partner closely with the Agentic Product Management leads to define technical scope, sequence delivery, and translate product strategy into executable engineering plans.
Lead the design and delivery of agent capabilities spanning in-app creative workflows, multi-step task execution, and context-aware assistance across Adobe's surfaces.
Establish and maintain the quality bar for agent behavior — what good looks like, how it's measured, and how the team systematically improves it over time.
Partner across Adobe's platform and infrastructure teams to ensure the Agentic Product is built with appropriate evals, guardrails, data protection, and the reliability expected of a product at Adobe's scale.
Build and maintain fluency across the emerging agentic standards and model capabilities ecosystem and ensure Adobe's Agentic Product engineering practices evolve with the space.

Requirements

What you’ll need

A track record of leading and scaling high-performing engineering teams to ship complex, high-quality user-facing AI products at scale.
Deep experience with AI/ML product engineering, including working knowledge of LLM APIs, agent frameworks, and the capabilities and limitations of current generative models in creative contexts.
Hands-on technical expertise: you can engage deeply in architecture decisions, review designs with a substantive point of view, and recognize good and brittle agent behavior at the implementation level — not just the product level.
You remain close to the code and the craft.
Strong product sensibility — you have intuitions about user experience, you can look at agent behavior and know when it's good or brittle, and you partner with PM and design as a peer, not a downstream executor.
Strong cross-functional leadership instincts with a history of effective partnership with Product, Design, and platform engineering teams.
Comfort operating in fast-moving, ambiguous environments where the technology, the competitive dynamics, and the user expectations are all rapidly evolving.
Experience with the quality, reliability, and trust requirements that come with shipping AI features to a large consumer and enterprise audience.
Demonstrated ability to lead change management and drive continuous innovation in engineering processes and practices — helping teams adopt new ways of working, internalize new tooling, and stay ahead of a rapidly shifting technical landscape without losing execution focus.
Experience working with LLM providers or contributing to AI product strategy is strongly preferred.

Benefits

Comp & perks

Comprehensive benefits programs