Senior Data Product Manager

The Opportunity

Adobe Firefly is revolutionizing the world of creative AI, and we want you to be a part of it! As a Senior Data Product Manager, you'll be at the forefront of transforming data into actionable insights for our innovative Firefly platform. This is your chance to work with a world-class team and drive the evolution of one of Adobe’s most ambitious products!

What you’ll do

• Take ownership of and lead the complete analytics instrumentation process for Firefly on web and mobile platforms, covering both client- and server-side implementations - from requirements gathering through specification, validation, and launch.
• Be the authority on our data. Own what we collect, why we collect it, and how we do it. Proactively find and fill the data gaps that collaborators need to make better decisions. Provide clear mentorship and recommendations on what the data can and can’t tell us.
• Set the vision, capabilities, and roadmap for product instrumentation, ensuring high-quality, launch-ready data is available for every product and feature on day one.
• Build data products and self-serve experiences that help users quickly find the right level of data for their needs. This reduces reliance on one-off, analyst-led pulls.
• Define analytics for generative AI. Set the important metrics for a GenAI product, such as activation, engagement, generation quality, and feedback signals. Include credit and consumption economics, and retention. Ensure these metrics are measurable and trustworthy.
• Champion a consistent taxonomy and high-integrity data. Optimize the analytics definition process and collaborate with PM and Engineering team members to define clear specifications, governance, and source-of-truth practices.
• Scale our data products to be more accessible, reliable, and digestible for partners across Adobe, with an eye toward automation and AI-assisted analytics that accelerate time-to-insight.

What you’ll need to succeed

• 5+ years of product management experience, including building and delivering successful data products, data platforms, and capabilities.
• 3+ years of hands-on analytics and technical proficiency in SQL and/or PySpark, data pipelines, and data modeling.
• Experience working with a contemporary ecosystem for data processing and analysis - such as Databricks, Splunk, Kafka, Adobe Analytics, Customer Journey Analytics, and Tableau - or similar platforms.
• Demonstrated ability to build and define a consistent taxonomy, and reconcile discrepancies across sources.
• Practical experience with agile or scrum product development.
• A strong grasp of foundational statistics and analytics/engineering frameworks.
• Proven ability to support multiple ongoing projects in a fast-paced, ambiguous environment.
• Excellent interpersonal and storytelling skills - able to translate complex findings and technical approaches into clear requirements and compelling narratives for any audience.
• Strong leadership through influence across functional lines.
• BS, MS, or PhD or equivalent experience in an analytical field (statistics, applied mathematics, computer science, engineering, economics, physics, etc.).

Good to have

• Hands-on experience with data science tooling such as Pandas, NumPy, or similar.
• Familiarity with the data behind model development - post-training datasets, the implicit and explicit signals used for RLHF, and model evaluations.
• Practical understanding of machine learning and statistical analysis (e.g., linear/logistic regression).
• Experience crafting and using repeatable AI-enabled workflows using skills and MCPs to scale impact and accelerate delivery.

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.

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 [email protected] 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:

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.

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California:

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Colorado:

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Massachusetts:

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