Sr. Manager, Machine Learning
Adobe
✨ Why This Is a Good Vibe Coding Job
Adobe is one of the first major tech giants to explicitly embrace the 'vibe coding' terminology, signaling a massive shift toward natural language as a primary development interface. This role is perfect for a leader who wants to move beyond traditional syntax and manage a team that uses AI-assisted patterns to build the next generation of creative tools.
Leading the Natural Language Revolution
Adobe is reinventing the creative workflow by building a greenfield, AI-native web platform where natural language intent drives the design and generation process. As the Senior Manager of ML Engineering, you will be the primary architect of the agentic systems and model-serving infrastructure that make this 'vibe coding' experience possible. You won’t just be building an AI feature; you’ll be defining the core engine of a product that treats human language as the primary programming interface.
Tech Stack & Vibe Focus
Your team will be at the forefront of modern machine learning, focusing on LLM application stacks, retrieval-augmented systems, and sophisticated agent tool-use. This role is uniquely tailored for those who believe in the power of AI-assisted development. Adobe explicitly encourages leadership that embraces generative patterns, ensuring that the way you build the software is as innovative as the software itself. You will oversee the entire lifecycle, from inference optimization to production-grade AI evaluation.
Growth & Impact
This is a rare opportunity to build a high-performance team from scratch within a global tech powerhouse. You will bridge the gap between applied research and customer-facing products, setting the standard for how AI-native tools are delivered at scale. For a leader who values speed, iterative shipping, and the evolution of the software development lifecycle, this position offers the chance to influence the future of how humanity interacts with digital creation tools.
Education
- bachelor degree
- postgraduate degree
Skills & Tags
Keywords
Categories
Source: workday