Senior Engineering Manager – Agentic Product
$160,200–$160,200 year
On-siteLehi, Utah, United States
Job Summary
Lead day-to-day engineering execution for a team building Agentic Product capabilities, coordinating delivery, managing dependencies, and maintaining a predictable shipping cadence across Adobe's surfaces. Grow and develop engineers through coaching, goal-setting, and hands-on technical engagement while partnering with Product leadership to translate strategy into well-scoped engineering plans. Contribute to the design and delivery of agent capabilities spanning in-app creative workflows, multi-step task execution, and context-aware assistance, ensuring quality bar standards for agent behavior are met through systematic evaluation and guardrails. Collaborate with platform and infrastructure teams to integrate appropriate evals, data protection, and reliability measures, while staying current with emerging agentic standards and model capabilities to drive team adoption of new tooling.
Required Qualifications
- 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: ability to 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 — ability to look at agent behavior and know when it's good or brittle, and 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
Desired Qualifications
- Experience working with LLM providers or contributing to AI product strategy
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