Sr Payments Strategy and Growth Manager

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!

The Opportunity

Adobe established a Global Payments and Billing business function in 2020 to strengthen our strategy, partnerships, and operational excellence. We are building a team of business and technical professionals who will shape the next chapter of Adobe's payments ecosystem.

Within the card-not-present (CNP) space, you will focus on driving higher approval rates and improved customer experiences across multiple geographies and product lines. You will partner internally with product, data, and operational teams to anticipate and resolve issues impacting our business, while externally engaging with acquirers, issuers, and providers to advance our "best-in-class" payments vision.

The job requires thinking critically, implementing solutions, and using analytics to achieve business goals.

What You'll Do

• Analyze large-scale payments data to uncover insights, identify growth opportunities, and inform strategy.
• Manage and improve Adobe's range of payment models, employing brand new machine learning for essential business scenarios.
• Manage the full ML lifecycle: ideation, feature engineering, training, evaluation, deployment, monitoring, and continuous improvement.
• Collaborate with Product, Treasury, Finance, Operations, Risk, Analytics, and Regional teams to translate business needs into data-driven solutions.
• Partner with engineering and ML platform teams to strengthen infrastructure for scalable, production-ready model deployment.
• Generate hypotheses that will drive experiment design and build business case to explore revenue impact for each opportunity prioritized on the roadmap
• Develop and optimize payment strategies that improve payments success rates, including both checkout and recurring transactions.
• Engage with external payments vendors and acquirers to incorporate market insights, leverage external data sources, and stay ahead of evolving industry trends.

What you need to succeed

• 5+ years of experience in global, enterprise-level payments organizations (Operations, Partnerships, Cost, Analytics, Risk). Prior ML experience a strong plus.
• Strong ability to rapidly learn and apply business context within the complex payments ecosystem.
• Advanced degree (MS/PhD) in Computer Science, Engineering, Statistics, or related technical field with focus on machine learning, AI, or predictive modeling.
• Proven experience building, deploying, and maintaining machine learning models with clear business impact.
• Exceptional communication skills, able to bridge technical detail with business context for diverse stakeholders.
• Ownership attitude, comfort with ambiguity, and ability to thrive in fast-paced environments with limited process.
• Deep familiarity with the ML lifecycle and sound technical judgment on model deployment strategies.
• Proficiency in Python and ML/DL frameworks (e.g., scikit-learn, PyTorch, TensorFlow, Keras).

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.

Adobe is proud to be an Equal Employment Opportunityemployer. 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.

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