Director, Engineering – Agentic Product

The Opportunity

Adobe is reimagining the future of creativity where generative AI intelligent agents and human imagination work hand in hand. As the Director of Engineering Agentic Product you will lead the technical execution of Adobes Agentic Product: the AI-native experience that brings generative models creative intelligence and decades of differentiated Adobe capabilities together into a coherent high-quality product for creators used by hundreds of millions of people every day.Youllpartner directly with Product leadership to define build and ship agentic experiencesthat meaningfullychangehow creators work.

Youllbe responsible forthe end-to-end product quality of the agent: its capabilities its behaviors and the experience it delivers across surfaces. This is a focused product-minded engineering leadership role you are accountable for what the agent does and how well it works not for the underlying platform or ecosystem packaging.

This is a rare opportunity to build a new AI-native engineering team and practices that will define Adobes most visible AI product. The right person brings experience leading engineering teams that ship high-quality user-facing AI experiences a strong point of view on what great looks like for creative AI and the ability to raise the bar in a space that is moving fast.

Senior Director-level may be considered for those with the right experience and technical depth.

Whatyoulldo

• Lead the engineering execution of Adobes 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 Managementleadsto 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-awareassistanceacross Adobes surfaces.

• Establish andmaintainthe quality bar for agent behavior what good looks like howitsmeasured and how the team systematically improves it over time.

• Partner across Adobes platform and infrastructure teams to ensure the Agentic Product is built withappropriate evals guardrails data protection and the reliability expected of a product at Adobes scale.

• Build andmaintainfluency across the emerging agentic standards and model capabilities ecosystem and ensure Adobes Agentic Product engineering practices evolve with the space.

Whatyoullneed to succeed

• A track recordof 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 technicalexpertise: 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. Youremainclose to the code and the craft.

• Strong product sensibility you have intuitions about user experience you can look at agent behavior and know whenitsgood 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.

• Comfortoperatingin 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.