Sr Manager, Machine Learning Engineering, Firefly Services

Our Company
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're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

About the team/organization

Adobe Firefly's GenAI Product Services team builds world‑class image and video solutions for enterprise customers and all Adobe Products. We are looking for a senior ML engineering manager to spearhead our growing efforts in building world‑class GenAI solutions. In this role, you will lead a high‑performing team of ML and service engineers focused on designing, deploying, optimizing and scaling generative models and APIs that power next‑generation digital experiences.

As a senior leader, you'll define long‑term strategy, shape the technical roadmap, and collaborate across Adobe to accelerate our momentum in the enterprise GenAI space. This is a high‑impact role at the intersection of ground‑breaking technology and real‑world enterprise value.

Job Responsibilities

• Tech lead projects that delivers critical ML services and APIs to integrate first‑and third‑party models and pipelines for Enterprise customers

• Collaborate cross‑functionally with PMs, PMMs, TPMs, and other engineering teams to shape the roadmap of Adobe's Enterprise Gen AI space

• Act as a technical leader and coach, guiding a team of ML and platform engineers through complex, high‑stakes projects.

• Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe's GenAI engineering effectiveness and efficiency

• Review and provide feedback on features, technology, architecture, designs, test strategies, and service reliability standards.

• Champion innovation by exploring emerging ML and MLOps technologies to boost Adobe's GenAI effectiveness.

What you'll need to succeed

• MS/PhD in Computer Science, AI/ML, or related fields, or equivalent industry experience.

• 8+ years of experience in machine learning, including production‑scale deployments.

• 5+ years of engineering leadership experience, with a track record of growing and mentoring high‑performing teams.

• Strong background in generative AI technologies (e.g., GANs, diffusion models, transformers).

• Proven ability to lead large, cross‑functional teams through complex, time‑sensitive projects.

• Excellent communication skills, with a knack for influence and driving alignment in matrix organizations.

Preferred Experience

• Hands‑on experience with training, fine‑tuning, inference, and optimization of generative models, multi‑modality models.

• Hands‑on familiarity with optimizing and converting models across formats

Compensation

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $168,$340,100 annually. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short‑term incentives are in the form of sales commission plans. Non‑sales roles starting salaries are expressed as base salary and short‑term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long‑term incentives in the form of a new hire equity award.

State‑Specific Notices

California

Fair Chance Ordinances:
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance"…