Sr. Manager, Applied Science - Generative AI Data Research

Adobe Firefly Applied Science & Machine Learning (ASML) is looking for a Sr Manager, Applied Science – Generative AI Data Research to lead a team conducting multimodal data research and build datasets that support training and development of foundation models for generative AI multimodal generation ( image, video, audio) The role is for a senior manager who has experience with data for foundation model training, software engineering background, and applied ML . You will lead a team responsible for developing datasets for foundational model training. This involves content acquisition, filtering, curation and media understanding, and performing model ablations to validate data before large-scale training.

The focus of this role is on large-scale data which supports foundation model training in all its stages. You will work closely with applied researchers, ML engineers, and product partners to turn evolving research and product needs into scalable, maintainable data pipelines and datasets . Success in this role requires strong engineering judgment, comfort with ambiguity, and the ability to guide both system design and applied ML workflows , while scaling impact through effective team leadership and execution.

What You’ll Do Lead and grow a team of applied scientists and engineers working on multimodal data research and generative AI training systems Own and evolve key parts of the training and experimentation datasets. Partner closely with applied research and engineering teams to support the full lifecycle from experimentation to production Drive technical design and architecture decisions for large-scale data pipelines and dataset creation and maintenance. Remain hands-on enough to review designs, guide implementation choices, and unblock complex technical issues Establish standard processes for system robustness, testing, observability, and reproducibility Drive execution against milestones while adapting to changing research and product priorities Build a strong team culture focused on ownership, collaboration, and continuous improvement What You Need to Succeed MS or PhD in Computer Science, Engineering, AI/ML, or a related technical field, or equivalent practical experience At least 4+ years of experience leading or managing technical teams in AI/ML domains, with a large component of working on data.

Strong hands-on experience working on model training and data. Ability to operate as a technical leader , making sound design tradeoffs and unblocking complex engineering problems Strong communication skills and the ability to collaborate across research, engineering, and product organizations Comfort working in fast-moving, ambiguous environments typical of generative AI development #FireflyGenAI About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization.

The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.

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Adobe aims to make our Careers website and recruiting process 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 +1 408-536-3015. AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking.

The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same.

As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience . Expected Pay Range: 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 $178,900 -- $351,225 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. In California, the pay range for this position is $242,600 - $351,225 In Washington, the pay range for this position is $215,600 - $312,200 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.

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