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Lead, Data Product Manager



San Francisco, CA, USA
Posted on Monday, November 20, 2023

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

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About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.


The Data Product Manager is primarily a guide on internal data needs, translating them into prioritized product requirements, and working closely with data engineering to ensure the successful execution of the product roadmap within a fast paced agile product lifecycle.

As a Product Manager for the Salesforce Data & Analytics, you’ll be in charge of building a unified data and metrics layer that powers the Salesforce internal analytical platform.

The Salesforce internal data and analytical platform will provide business context and a single source of truth for data in Salesforce, enabling a flexible and governed place for our internal data users to create and lead metrics, conduct exploratory and predictive analyses, visualize insights, and build AI applications. You will collaborate with various data domain owners across Salesforce to build a Data Layer that enables internal analytical and AI use cases while working with architects and engineers to develop a scalable platform to help drive operational efficiency and ensure data security.

This role is best suited for strong, proactive Product Managers who thrive in a fast-paced, collaborative environment and love working with the best SaaS technology team in the world.

  • Work closely with cross-functional teams to define product requirements and development plans.

  • Drive product development with teams of data engineers and architects, take ownership for successful delivery against goals, balancing trade offs, and completing commitments.

  • Engage directly with data users during pre-launch and post-launch to ensure the product will help them reach their desired business outcomes.

  • Track and analyze metrics that advise the success of products.

  • Integrate experimentation, user research, and analysis to improve engineer productivity and enhance user satisfaction.

  • Experience working with teams internationally.

  • Be the expert on data assets and applications.

Required skills:

  • 5+ years of Product Management experience.

  • Proven experience in data-oriented, analytics, SaaS & B2B products.

  • Experience delivering successful data products. Understanding the technical architecture of highly scalable data and analytical products.

  • Experience in taking one or more products through the full product cycle, from conceptualization to launch.

  • Ability to work in a cross-cultural environment in different time zones.

  • Exceptional communication and presentation abilities. Proven track record to communicate complex concepts to a variety of audiences and collaborator types.

  • Exceptional organizational and analytical abilities.

  • A beginner approach with an entrepreneurial spirit, can implement and enact complex product initiatives.

  • Degree or equivalent relevant experience required. Experience will be evaluated based on the core proficiencies for the role.

Preferred Skills:

  • Experience with building Business Intelligence or Data Analytics products and understanding their different layers.

  • Experience with tools we use every day:

    • Storage: Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB)

    • ETL/BI: Airflow, Tableau

    • Cloud Infrastructure: AWS Kinesis, Lambda, API Gateway, Terraform

    • Analytics: SQL, Sagemaker

    • Data governance and data management principles: data quality, metadata management, security, compliance

  • Experience with AI / GenAI / LLM technologies.

  • Technical background.

  • Experience working with an Engineering Team and in Agile methodology.

  • Analytical and strategic problem solver with excellent project management skills and attention to detail.


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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at and explore our company benefits at

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For California-based roles, the base salary hiring range for this position is $160,000 to $220,000.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: