Director, Engineering - Agentic Product

Adobe

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$265,700–$384,675 / yr
Posted
45 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $260k
This role $325k
$177k most similar roles pay here $407k

This role pays more than 86% of similar roles. Most pay $225,000–$294,500 — the shaded band above. At the midpoint, this role pays about $325k versus about $260k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 218 open roles on FindRole.

Listed pay typically runs $187,100–$270,950 across 216 roles with salary data.

Most-posted roles

View all roles at Adobe

At a glance

TL;DR · Director, Engineering - Agentic Product

As Director, Engineering – Agentic Product, you will lead the technical execution and development of an AI-native agentic experience that integrates generative models and creative intelligence into a cohesive product for creators. You will manage a new engineering team to build out capabilities such as in-app creative workflows, multi-step task execution, and context-aware assistance across various surfaces while establishing high standards for behavior and quality. The role requires deep expertise in AI/ML product engineering, including LLM APIs, agent frameworks, and the specific limitations of generative models in creative contexts. You will collaborate with product management to translate strategy into technical plans while ensuring reliability, data protection, and robust guardrails. This position focuses on solving the challenge of delivering high-quality, user-facing AI features that provide seamless assistance within a complex ecosystem of tools for professional creators.

What does a Engineering Director earn?

Median $307000 from 31 postings across 22 companies.

See salary data

What you'll do

  • Lead the engineering execution of Adobe's Agentic Product to ensure high-quality outputs and consistent delivery across multiple surfaces.
  • Build and lead a new, AI-native engineering team focused on developing agentic capabilities and technical strategy.
  • Partner with product management to translate high-level strategies into actionable engineering plans and defined technical scopes.
  • Establish and maintain the quality bar for agent behavior by defining metrics and systematic improvement processes.
  • Design and deliver complex features including in-app creative workflows, multi-step task execution, and context-aware assistance.
  • Collaborate with platform and infrastructure teams to implement necessary evals, guardrails, and data protection protocols.
  • Stay current on emerging agentic standards and model capabilities to evolve engineering practices within the AI space.

What we're looking for

  • Proven track record of leading and scaling high-performing engineering teams to ship complex, user-facing AI products at scale.
  • Deep experience in AI/ML product engineering, including LLM APIs, agent frameworks, and generative model capabilities.
  • Hands-on technical expertise to engage in architecture decisions and identify brittle agent behavior at the implementation level.
  • Strong product sensibility to evaluate user experience and partner with product and design teams as a peer.
  • Demonstrated ability to manage cross-functional partnerships with Product, Design, and platform engineering teams.
  • Ability to navigate fast-moving, ambiguous environments with rapidly evolving technology and competitive dynamics.
  • Experience managing the quality, reliability, and trust requirements of shipping AI features to large consumer and enterprise audiences.
  • Preferred experience working with LLM providers or contributing to AI product strategy.

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