Currently tracking 218 active AI roles, down 50% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $114k–$397k (avg $221k).
Adobe has 306 active job listings related to artificial intelligence. The majority of these roles, 47%, are focused on agents, with application-focused roles making up another 25%. Engineering is the primary function for these positions, with the United States being the dominant hiring country. Frequent technical tags include model serving, agent orchestration, and fine-tuning, suggesting a focus on deploying and managing AI models.
Adobe currently has 314 active AI-related roles in our index. The most common open titles are: Senior Software Development Engineer (12), Machine Learning Engineer (6), Machine Learning Engineer 4 (5), Principal Product Manager (5), Software Development Engineer (5). Most positions are in Engineering and Product.
Adobe's active AI hiring is concentrated in: agents (48%), application (25%), serving infrastructure (12%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Adobe is hiring AI talent in: United States (236 roles), India (50 roles), Romania (22 roles), Canada (3 roles).
Job postings at Adobe most frequently reference: model serving, agent orchestration, llm observability, fine tuning, inference infra.
In the past 30 days, Adobe has posted 119 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Sr. Analyst Quata Review and Planning Analytics This role focuses on designing, governing, and optimizing quota programs for a sales organization, ensuring alignment with business objectives and sales productivity. It involves leading quota review processes, developing renewal quota frameworks, and establishing governance models for complex sales scenarios. The role requires advanced analytical skills to evaluate quota attainment, territory performance, and identify optimization opportunities, as well as experience with CRM and sales planning platforms. | — | 0 |
| Product Manager, Talent Development & Learning Technology Experience & Adoption Product Manager for HR Technology, focusing on internal learning platforms. Owns the product ecosystem, driving adoption, efficiency, and reliability. Balances innovation with operational rigor, integrating learning technologies with HRIS, skills platforms, and other enterprise systems. Experience with AI/ML solutions for personalized learning is preferred. | — | 0 |