Director, Engineering – Agentic Product

About the role

Adobe is reimagining the future of creativity, integrating generative AI, intelligent agents, and human imagination to create a cohesive, high-quality product for creators. The Director of Engineering, Agentic Product, will lead the technical execution of Adobe's Agentic Product, a new AI-native experience that combines generative models, creative intelligence, and Adobe's extensive capabilities.

Responsibilities

• Lead the engineering execution of Adobe's Agentic Product, collaborating with Product leadership to define, build, and ship agentic experiences that transform how creators work.
• 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, ensuring it meets high standards of quality and user satisfaction.
• Partner across Adobe's platform and infrastructure teams to ensure the Agentic Product is built with appropriate evaluations, guardrails, data protection, and reliability.
• Build and maintain fluency in emerging agentic standards and model capabilities, ensuring Adobe's Agentic Product engineering practices evolve with the space.

Requirements

• 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.
• Strong product sensibility: you have intuitions about user experience, can look at agent behavior and know when it's good or brittle, and 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, competitive dynamics, and user expectations are 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.

Qualifications

• Experience 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.
• Strong product sensibility: you have intuitions about user experience, can look at agent behavior and know when it's good or brittle, and 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, competitive dynamics, and user expectations are 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.

Skills

• Experience 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.
• Strong product sensibility: you have intuitions about user experience, can look at agent behavior and know when it's good or brittle, and 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, competitive dynamics, and user expectations are 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

• Comprehensive benefits package including health insurance, retirement plans, paid time off, and more.
• Flexible work arrangements to support work-life balance.
• Continuous learning opportunities and professional development resources.
• Opportunities to contribute to meaningful projects and initiatives that impact millions of users worldwide.

Pay

The expected pay range for this position is $206,400 -- $384,675 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

Schedule

Full-time position with standard business hours.