Senior Engineering Manager – Agentic Product

Adobe

Engineering Manager overseeing a team to build Adobe's AI-native Agentic Product. Leading engineering execution and driving innovation in creative AI applications for millions of users.

Posted 5/22/2026full-timeSan Francisco • California, New York, Washington • 🇺🇸 United StatesSenior💰 $160,200 - $320,000 per yearWebsite

About the role

Key responsibilities & impact

Lead day-to-day engineering execution for a team building Agentic Product capabilities — coordinating delivery, managing dependencies, and maintaining a predictable shipping cadence across surfaces.
Grow and develop the engineers on your team through coaching, goal-setting, and hands-on technical engagement that builds both individual and team capability.
Partner with Agentic Product Management to translate product strategy into well-scoped engineering plans, sequence delivery, and surface technical constraints early.
Contribute to the design and delivery of agent capabilities spanning in-app creative workflows, multi-step task execution, and context-aware assistance across Adobe's surfaces.
Help 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.
Collaborate with platform and infrastructure teams to ensure agent features are built with appropriate evals, guardrails, data protection, and the reliability expected of a product at Adobe's scale.
Stay current with emerging agentic standards and model capabilities and help your team adopt new tooling and practices without losing execution focus.

Requirements

What you’ll need

A track record of leading engineering teams to ship complex, high-quality user-facing AI products with strong execution discipline.
Solid 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 depth: you can engage meaningfully in architecture decisions, review code and 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, you can look at agent behavior and know when it's good or brittle, and you partner with PM and design as a peer.
Effective cross-functional collaboration with Product, Design, and platform engineering teams, with a bias toward proactive communication and shared ownership.
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 help 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

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities
Remote work options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI product engineeringLLM APIsagent frameworksgenerative modelsarchitecture decisionscode reviewdesign reviewagent behavior evaluationquality assurancereliability engineering

Soft Skills

team leadershipcoachinggoal-settingcross-functional collaborationproactive communicationuser experience sensibilityadaptabilityproblem-solvingexecution disciplineshared ownership