JOB LEVEL
M70/P70
EMPLOYEE ROLE
People Manager

** The Opportunity**

Be the executive technical face of Firefly Foundry for Media & Entertainment! You’ll partner with studio, streaming, network, sports, and gaming executives (CIO, CCO, CMO, CTO, Head of Post) to reinvent content pipelines with Firefly - taking initiatives from pilot to global rollout - using Firefly, Creative Cloud, and more importantly, groundbreaking new Foundry workflows and technologies.

What you will do

• Own the end-to-end ML strategy for our Foundry engineering and science across Generative Media models, from applied research to production deployment.

• Lead and grow a high-performing team of applied scientists and ML engineers; set clear goals, coach senior talent, and create a culture of experimentation, rigor, and delivery.

• Design and evolve our multi-tier model stack: foundation models, franchise models, on-set integration, and social/short-form extensions, and workflows.

• Partner closely with studio, production, and product teams to translate creative and business requirements into concrete ML roadmaps, milestones, and success metrics.

• Drive the technical architecture for training and inference at scale: data pipelines, evaluation frameworks, model lifecycle, and GPU/accelerator utilization across a multi-year horizon.

• Establish and own quality bars for generative output (visual fidelity, temporal consistency, editability, safety) and build the evaluation tools, benchmarks, and human-in-the-loop processes to enforce them.

• Collaborate with infrastructure and platform teams to design scalable, cost-efficient serving for real-time on-set use cases and high-volume social content generation.

• Stay on top of the GenAI research ecosystem and selectively bring in new techniques (e.g., diffusion, video transformers, latent video models, control/adapters) when they materially improve capability, cost, or speed.

** What you need**

• 10+ years of experience in applied machine learning, including 4+ years leading senior ML/engineering teams building real products at scale.

• Deep hands-on expertise with modern generative models (diffusion, transformers, VAEs, latent video models, or similar) and experience taking at least one such system into production.

• Strong background in large-scale training and inference: distributed training, GPU/accelerator stacks (e.g., CUDA, NCCL), model optimization/quantization, and performance debugging.

• Proven ability to design and ship ML systems end-to-end: data pipelines, training, eval, deployment, monitoring, and continuous improvement.

• Experience working with high-resolution media (4K+ video, high bit-depth pipelines) or adjacent domains where bandwidth and latency constraints matter.

• Excellent leadership and communication skills; able to work directly with creative, production, and business stakeholders and turn ambiguous problems into clear technical plans.

• Strong software engineering fundamentals (Python, modern ML frameworks such as PyTorch/JAX, production code quality, CI/CD, observability).

• Bachelor’s/Master’s/PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience building and leading advanced ML systems.

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 positionis $201,100 -- $429,100 annually. Paywithin this range varies by work locationand 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” ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Internal Opportunities

Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!

Put your best foot forward:

1. Update your Resume/CV and Workday profile - don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.

2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.

3. Check out these tips to help you prep for interviews.

4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll .

Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.