Senior Data Product Manager

Adobe Inc.; San Jose (CA); On-site; USD 165,600 - 239,725; Full time

Job summary

Adobe Inc. is seeking a Senior Data Product Manager to drive analytics for the Firefly platform in San Jose, California. This role entails leading the analytics instrumentation, ensuring high-quality data collection, and defining metrics for generative AI products.

The ideal candidate will have over 5 years of product management experience, strong technical abilities in SQL and data tools, and a background in building data products. Competitive compensation ranges from $165,600 to $239,725 annually.

Qualifications

• 5+ years of product management experience.
• 3+ years of hands-on analytics experience in SQL and PySpark.
• Experience with contemporary data processing platforms.

Responsibilities

• Lead analytics instrumentation for Firefly on web and mobile platforms.
• Own data collection processes and guide collaborators.
• Build and define product instrumentation vision and roadmap.

Skills

Product management experience

Analytics and technical proficiency in SQL/PySpark

Familiarity with data processing ecosystems

Agile/scrum product development

Statistical analysis

Interpersonal and storytelling skills

Education

BS, MS, or PhD in analytical field

Tools

Databricks

Splunk

Adobe Analytics

Tableau

Job description

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.

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 $125,800 – $239,725 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 $165,600 – $239,725.

State‑Specific Notices

California

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado

If this role is open to hiring in Colorado, 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

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.

Equal Employment Opportunity

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. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [e-mail] or call [phone].