JOB LEVEL
P50
EMPLOYEE ROLE
Individual Contributor

The Research and AI team builds generative AI models and applications for Adobe products, enabling customers to ideate, build, and scale content in new ways.

We are looking for a Principal Product Manager to lead Enterprise-focused generative AI across imaging, video, and audio! This role is responsible for setting the strategy, planning implementation, and coordinating the ongoing delivery of multimodal model capabilities that enable on-brand content production at scale.

Working alongside world-class researchers dedicated to advancing the field, you will convert modern multimodal research into practical, high-quality solutions. This includes customization strategies such as brand adaptation and fine-tuning approaches. You will ensure model capabilities match customer workflow needs, quality standards, governance requirements, and business goals.

The ideal candidate focuses intently on customers, confidently engaging personally with Enterprise clients, and adeptly integrate information from research, engineering, market conditions, and customer feedback into practical priorities. They work well amid uncertainty, act swiftly, and uphold a high standard for creative quality across various modalities.

What you'll do:

• Collaborate with Enterprise teams and leadership to establish a vision while guiding roadmap creation and prioritization

• Set strategy, plan implementation, and coordinate day-to-day execution of multimodal generative model capabilities

• Interact directly with Enterprise customers to grasp workflows, governance constraints, and quality standards

• Collaborate closely with research and engineering to convert innovation into production-ready Enterprise solutions

• Provide a sharp quality eye in day-to-day model feedback while building scalable evaluation frameworks for performance and brand consistency

• Establish a clear approach for first-party development versus third-party integrations based on the market landscape

• Translate complex technical capabilities into clear product requirements, evaluation criteria, and measurable success metrics

What you'll need to succeed:

• Bachelor’s degree in computer science, engineering, or equivalent experience

• 7+ years of product management experience

• High standards for generative quality, with excellent discernment on the details that determine whether outputs meet Enterprise production standards

• Experience building or scaling AI or ML-powered products in Enterprise or creative production contexts

• Experience owning fine-tuning and model adaptation strategies end-to-end, from data sourcing through performance evaluation

• Deep user orientation with demonstrated experience synthesizing direct customer input into product direction

• Solid understanding of the generative AI market landscape and competitive dynamics

• Strong ability to work collaboratively across research, engineering, and Enterprise partners

Bonus Qualifications:

• Experience with generative AI

• Experience building tools for creatives and designers

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 positionis $148,100 -- $282,100 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.

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In California, the pay range for this position is $194,800 - $282,100 │ In New York, the pay range for this position is $194,800 - $282,100 │ In Washington, the pay range for this position is $178,600 - $258,700

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.

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.

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 protected characteristic. Learn more.

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 .