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Data Science Product Manager Jobs (NOW HIRING)

Senior Manager, GTM Data Science

San Jose, CA · On-site

$148K - $195K/yr

Adobe's creative products empower millions of customers-from individual creators and creative ... of data science, product analytics, marketing analytics, and business performance management.

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, Business, Data Analytics, or a related field. * 5+ years of Product Management, Data Management, Business Intelligence ...

Data Product Manager

San Jose, CA · Hybrid

$54.65 - $68.31/hr

Data Product Manager Full-time San Jose, CA You'll be joining Adobe on a contract opportunity ... You will work cross-functionally with data engineering, data science, and analytics teams to ...

Data Scientist, Product

Manhattan, NY · On-site

$179 - $210/hr

We're looking for a dedicated and ambitious data science leader to help us accelerate product growth through world-class experimentation, analysis, and data-informed strategy. Your work will directly ...

Data Engineer

San Francisco, CA · On-site

$180K - $200K/yr

Partner closely with data science, product manager, and engineering teams to translate business questions into well modeled, performant, and discoverable data assets * Establish and enforce data ...

MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The ... You'll also mentor other product managers across the demand organization, raising the bar for ...

Collaborate closely with data science, product, and engineering teams to integrate models into production systems. * Present findings through clear reports, visualizations, or dashboards that inform ...

... managers, operational users, and senior mission-partner leaders. * Develop and maintain customer-focused data science products, including applications, dashboards, analytical models, and research ...

Showing results 41-60

Data Science Product Manager information

See salary details

$51.5K

$159.4K

$197K

How much do data science product manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science product manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What is a Data Science Product Manager?

A Data Science Product Manager is a professional who bridges the gap between data science teams and business objectives by guiding the development of data-driven products. They work closely with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure successful product delivery. Their role involves understanding both the technical aspects of machine learning and analytics as well as user needs and business strategy. This ensures that data-powered products are effective, user-focused, and aligned with organizational goals.

What are the key skills and qualifications needed to thrive as a Data Science Product Manager, and why are they important?

To thrive as a Data Science Product Manager, you need a strong background in product management, data analytics, and a foundational understanding of machine learning, often supported by a degree in a technical or quantitative field. Familiarity with tools like SQL, Python, JIRA, and knowledge of data platforms and agile methodologies is typically required. Excellent communication, strategic thinking, and the ability to bridge technical and non-technical teams are vital soft skills. These competencies ensure successful product development, effective stakeholder alignment, and the delivery of impactful data-driven solutions.

What is the difference between Data Science Product Manager vs Data Analyst?

AspectData Science Product ManagerData Analyst
Required credentialsBackground in data science, product management, or related fields; often requires experience with machine learning and data-driven product developmentTypically holds a degree in statistics, mathematics, or business; skills in data visualization and basic analytics
Work environmentCollaborates with product teams, data scientists, engineers; focuses on developing data products and strategiesWorks with business units to interpret data, generate reports, and support decision-making
Employer and industry usageUsed in tech companies, e-commerce, and organizations developing data-driven productsCommon across finance, marketing, healthcare, and business intelligence roles

The main difference is that Data Science Product Managers oversee the development of data products and strategies, requiring a blend of product management and data science skills. Data Analysts focus on interpreting data and generating insights to support business decisions. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

How does a Data Science Product Manager typically collaborate with data scientists and engineers during a product lifecycle?

A Data Science Product Manager plays a crucial role in bridging the gap between business objectives and technical teams. Throughout the product lifecycle, they work closely with data scientists to define project goals, prioritize features, and translate business needs into actionable data-driven solutions. They also coordinate with engineers to ensure the seamless integration of machine learning models into products, address technical constraints, and facilitate communication between cross-functional teams. This collaborative approach ensures that data science initiatives are both technically feasible and aligned with overall business strategy.

Who gets paid more, a data scientist or a data science product manager?

Typically, data science product managers earn higher salaries than data scientists due to their broader responsibilities, including strategic planning, cross-functional coordination, and product ownership. Data science product managers often have strong business acumen and project management skills, which contribute to their higher compensation. However, salary differences can vary based on experience, industry, and location.
More about Data Science Product Manager jobs
What cities are hiring for Data Science Product Manager jobs? Cities with the most Data Science Product Manager job openings:
What states have the most Data Science Product Manager jobs? States with the most job openings for Data Science Product Manager jobs include:
What job categories do people searching Data Science Product Manager jobs look for? The top searched job categories for Data Science Product Manager jobs are:
Infographic showing various Data Science Product Manager job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

Senior Manager, GTM Data Science

Adobe

San Jose, CA • On-site

$148K - $195K/yr

Full-time

Re-posted 5 days ago


Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

39th of 243 rated software companies


Job description

The Opportunity

Adobe is looking for a Senior Manager, GTM Data Science to lead customer and business analytics for Adobe's Creative Professional portfolio, spanning Creative Cloud All Apps, flagship single-app products such as Photoshop, Illustrator, and Premier Pro, and Firefly.

Adobe's creative products empower millions of customers-from individual creators and creative professionals to businesses-to imagine, create, and deliver standout content. As generative AI transforms creative workflows, Creative Cloud and Firefly play a central role. Adobe is redefining creativity and unlocking new ways for customers to build.

This role sits at the center of how we understand customer behavior, diagnose business performance, and guide growth strategy across the Creative Professional portfolio. You will lead a team responsible for analyzing the full customer funnel-from active users and product engagement to web traffic, conversion, orders, retention, and financial performance-across key product and digital surfaces.

The team will go deep into how customers use Adobe's creative products, which workflows and engagement patterns drive conversion and retention, and how Product, Marketing, and GTM teams can sustain momentum and unlock new growth.

This is a high-impact people leadership role at the intersection of data science, product analytics, marketing analytics, and business performance management. Leading a distributed team of data scientists, you will work closely with senior leaders in Product, GTM, Marketing, and Finance. You will build strategy, set goals, identify risks and opportunities, and turn insights into clear business action.

What You'll Do
  • Lead, mentor, and develop a high-performing team of data scientists
  • Own customer and business analytics for the Creative Professional portfolio, including Creative Cloud All Apps, flagship single apps, and Firefly
  • Analyze end-to-end funnel performance across product and digital surfaces, from active users and engagement to traffic, conversion, orders, retention, and ARR impact.
  • Identify the customer behaviors, creative workflows, product actions, and engagement patterns that drive conversion, retention, and long-term value.
  • Develop a deep understanding of customer journeys across Adobe's creative products, including how customers discover, adopt, and move between applications and workflows
  • Lead weekly business performance reviews, providing a clear narrative on performance drivers, risks, opportunities, and recommended actions.
  • Partner closely with Product, Marketing, Finance, and GTM leaders to connect product usage, customer engagement, acquisition, retention, and financial performance into an integrated view of business health.
  • Help establish funnel goals, targets, and leading indicators for growth, and guide cross-functional teams on how to sustain momentum across the portfolio.
  • Apply advanced analytics and data science methods-including segmentation, forecasting, experimentation, funnel diagnostics, and predictive modeling-to improve decision-making.
  • Improve analytical rigor, business storytelling, and executive communication, including regular engagement with VP-level Product and GTM leaders.
  • Translate complex data and customer behavior into clear, actionable recommendations that influence product roadmaps, marketing strategy, and business planning.
What You'll Need to Succeed
  • 10+ years of experience in analytics, data science, or a related quantitative field, with strong business facing experience
  • 4+ years of people management experience, including leading and developing high performing teams of analysts or data scientists
  • Strong understanding of digital funnels, subscription businesses, product-led growth, customer engagement, conversion, and ARR-based business models.
  • Demonstrated ability to connect customer behavior, product usage, funnel performance, and financial outcomes into a clear business narrative.
  • Experience running business performance cadences, including weekly executive reviews, performance diagnostics, target tracking, and insight generation.
  • Strong cross-functional leadership skills and experience influencing senior collaborators across Finance, Marketing, Product, GTM, and Sales.
  • Solid foundation in analytics and data science methods, including experimentation, forecasting, segmentation, and predictive modeling.
  • Proficiency in SQL and Python or R, along with experience using visualization tools such as Tableau or Power BI.
  • Excellent communication skills, executive presence, and the ability to translate complex analysis into clear business recommendations.
  • Bachelor's degree in a quantitative field required; advanced degree or equivalent experience preferred, such as Master's in Analytics, Data Science, Statistics, or related field. An MBA or equivalent experience is a plus.
Why Adobe?

At Adobe, you'll lead a team that directly influences the growth of Creative Cloud and Firefly-products central to how customers create and bring ideas to life. Your team's insights will shape product strategy, marketing investment, funnel goals, and executive decisions. This is a unique opportunity to combine customer analytics, business performance leadership, and cross-functional influence to drive meaningful impact at scale.

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 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.

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 $144,800 -- $284,325 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. In California, the pay range for this position is $196,400 - $284,325

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.


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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982