Adobe Systems

4 weeks ago

Senior Data Product Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead the analytics instrumentation and data product strategy for Adobe Firefly, driving turn-key, high-quality data for web and mobile. Own data taxonomy, governance, and self-serve analytics while aligning with GenAI metrics, activation, engagement, and retention. Influence cross-functional teams to deliver scalable data products that accelerate time-to-insight and decision-making across Adobe.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 125,800 - 239,725 annually

Key Requirements

•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.

Experience:5+ yearsAISaaSTechnologyData analyticsAdobe Firefly

Education:Master's

Skills:CommunicationLeadershipStorytellingInfluencing

Tech Stack:SQLPySparkDatabricksSplunkKafkaTableauAdobe AnalyticsCustomer Journey AnalyticsPandasNumPy

Company Brief

Adobe Systems

Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Adobe Systems

4 weeks ago

Senior Data Product Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 125,800 - 239,725 annually

Key Requirements

•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.

Experience:5+ yearsAISaaSTechnologyData analyticsAdobe Firefly

Education:Master's

Skills:CommunicationLeadershipStorytellingInfluencing

Tech Stack:SQLPySparkDatabricksSplunkKafkaTableauAdobe AnalyticsCustomer Journey AnalyticsPandasNumPy

Company Brief

Adobe Systems

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor