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.
Currently tracking 218 active AI roles, down 50% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $114k–$397k (avg $221k).
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 |
|---|---|---|
| Principal Enterprise Architect Professional Services (Madrid) Principal Enterprise Architect Professional Services role focused on guiding architecture through transformation lifecycles, building executive confidence, governing design decisions, and ensuring technology choices support long-term value. The role involves assessing architectural intent, providing leadership across the full transformation lifecycle, converting roadmaps into transition plans, and establishing architecture governance. It requires a strong understanding of AI, automation, and emerging agentic models, and their implications for enterprise platforms, but the core function is architectural leadership and product strategy, not direct AI/ML model development. | — | 5 |
| Design Systems Designer, Adobe Express Senior Designer for Adobe Express Design Systems team, focusing on standardizing and systematizing Figma source files for the design system. The role involves crafting user experiences, scaling design patterns, and ensuring accessibility compliance for a product used by small businesses, entrepreneurs, and enterprise customers. | — |
| 0 |
| Compensation Analyst This role is for a Compensation Analyst within Adobe's EMEA Employee Experience team. The primary focus is on delivering and managing compensation solutions, including base pay, incentives, and market analysis, while ensuring alignment with regional practices and regulatory requirements. The role involves partnering with various HR functions and business leaders to build understanding and provide guidance on compensation programs. | — | 0 |
| Director, Creativity & Productivity Enterprise Sales This role is for a Director of Enterprise Sales focused on Adobe's Creativity & Productivity products in Western Europe. The primary responsibility is to lead and scale a sales organization, drive revenue growth, and engage with C-suite stakeholders. While Adobe mentions AI in its product descriptions, this role is purely sales leadership and does not involve building or directly managing AI/ML models or systems. | — | 0 |
| Enterprise Account Executive Enterprise Account Executive role at Adobe, focusing on selling Creativity & Productivity solutions, including recent GenAI APIs (Firefly Services). The role involves managing assigned accounts, achieving sales quotas, planning sales activities, delivering presentations, managing a territory, understanding customer needs, building a sales pipeline, and maintaining customer relationships. Requires a track record in enterprise B2B sales, understanding the sales cycle, ability to build relationships at CxO level, and experience selling SaaS & Gen AI capabilities is ideal. Strong interpersonal, communication, and goal-oriented skills are necessary. | — | 0 |