Sr. Manager, Machine Learning

Adobe•San Francisco, CA

2d•$160,900 - $317,775•Remote

About The Position

Changing the world through digital experiences is what Adobe's all about. We give everyone — from emerging artists to global brands — everything they need to design and deliver exceptional digital experiences. We are building a new-generation, AI-first web application in the rapidly emerging "vibe coding" category — where users describe intent in natural language and an intelligent assistant collaborates with them to design, generate, and refine on the web. This is a strategic, greenfield bet, and we are hiring a Senior Manager, Machine Learning Engineering to lead the ML engineering team behind it in the US. This is an outstanding opportunity for a hands-on technical leader who wants to build a senior ML engineering team from the ground up, set the technical direction for the agentic and model-serving systems that sit at the core of the product, and ship to real users early and often. You will work alongside product, design, applied research, and partner engineering teams across Adobe, and play a pivotal role in defining how AI-native creative tools get built at Adobe.

Requirements

BS or MS in Computer Science or equivalent experience.
10+ years of experience in software / ML engineering, with a demonstrated understanding of software development principles, practices, and methodologies.
3+ years leading engineering teams, including managing senior ICs; a track record of hiring and growing high-performing teams in the US market.
Strong technical depth in ML engineering — at least one of: modern LLM / agent application stacks, model serving and inference optimization, retrieval and tool-use systems, or evaluation infrastructure for AI products.
Background shipping AI-powered features in customer-facing web products; comfortable reasoning about both the model side and the application side of the stack.
Proven ability to drive consensus on requirements, ensure timely decision-making, provide guidance, prioritize tasks, and optimize scope and time.
Excellent social and communication skills; able to effectively communicate ideas and influence others across product, design, research, and engineering — including across geographies and timezones.
Passion for learning, sharing of new ideas, and creative thinking to provide innovative solutions to challenges.
Embrace generative and AI-assisted coding and architectural patterns, and be eager to learn and adapt as development tools continue to evolve.
Thrive in a fast-paced, agile environment.

Nice To Haves

prior experience with creative tools, design systems, code generation, or developer-facing AI products.

Responsibilities

Lead a team of machine learning engineers building the model, agent, and inference systems that power a new AI-first web product — set the bar, the operating rhythm, and the culture.
Partner closely with product management, design, and applied research to translate product intent into a credible ML roadmap; balance speed and quality to ship iteratively to real users.
Drive the right architectural calls for an agent-native product — model and tool routing, latency and cost, evaluation and telemetry, safety and trust — in partnership with the broader Adobe AI platform.
Own production excellence for the ML stack: reliability, performance, observability, and a tight loop from field signal back into evaluation.
Play a pivotal role in attracting, hiring, onboarding, and retaining exceptional engineers through mentorship, and grow them professionally and personally.
Encourage collaboration and shared accomplishments by maintaining an environment that values partnership and celebrates achievements.
Rely on a combination of data and your instincts to make informed decisions and drive the team's progress quickly; your ability to balance speed and quality will be instrumental in achieving our goals.
Champion engineering excellence, contributing to the architecture of the product and ensuring it is built with high quality and a great user experience in mind.