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Product Director, Data and AI, Digital Intelligence



Software Engineering, Product, Data Science
San Francisco, CA, USA
Posted on Monday, November 20, 2023

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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 Salesforce Marketing Decision Science team is focused on using data and AI to drive decisions across the organization to improve our pipeline, ACV, and customer success. Whether we are making a strategic decision with analytics or an automated decision with marketing automation, we strive to use data and AI responsibly to grow our business and improve the customer experience. We build data and AI products on Salesforce technology to help with Salesforce’s own digital transformation. The tools we build fuel marketers with the data-driven insights they need to drive the sales pipeline, increase customer adoption, and create better experiences for all of our collaborators.. We own the entire supply chain of data from creation to storage to transformation and use in algorithms, data products, insights, and experiments. We take a trust-first approach to ensure data is collected and used appropriately and that our data products can be relied on by all collaborators.

At Salesforce, we believe in harnessing the power of data to drive actionable insights and ground-breaking solutions for our clients, and we're getting ready for a significant acceleration of our marketing automation platform built on Salesforce Data Cloud and Flows and bringing our own AI to the party. We are at the forefront of data innovation, and we are looking for a dynamic and transformational leader to drive our customer data model and AI-based segmentation efforts.

As a Director of Product, Data and AI, Digital Intelligence working on this massive transformation you will own the strategy, development, and execution of our next-generation customer data models and AI-based segmentation solutions.
This role will work cross-functionally to ensure the delivery of special data products that align with the business goals of the organization with unparalleled insights. This is a high visibility role working on a critical CMO objective and also calls for phenomenal exec presence and experience talking with external Customers and C suite levels.

You will lead a team of product managers to deliver innovative solutions that elevate our customer experience, drive revenue growth, optimize operational efficiency, and ensure that products are designed with privacy at the forefront. While you are a people manager, you are also a hands-on product manager willing and adept at rolling up your sleeves, working with scrum teams on a day-to-day basis, and working closely with engineering. Overall you will be a critical driver of our digital transformation, combining innovative marketing technology and AI ensuring alignment with the marketing organization’s and the company’s strategy and objectives.

Key Responsibilities

Vision & Strategy: Define the product vision and strategy for our customer data model and AI-based segmentation solutions, ensuring alignment with the overall company strategy and objectives. Hands-on Product Management Experience and Product Leadership

This leadership role demands hands-on product management experience, a strong focus on building products that prioritize privacy and trust, and a consistent track record of leading successful teams.
Lead and work with a team platform Product Managers, fostering a culture of innovation, collaboration, and continuous improvement.

Collaborate with cross-functional teams to ensure detailed integration of AI technologies into digital products and services.
Roadmap Development: Create and lead a comprehensive product roadmap for the customer data model and AI segmentation area. Strong bias to create customer value and AI Implementation:
Oversee the design, development, and deployment of AI-powered segments and build a strategy to scale the building and consumption of the segments across the organization in a trusted way.

Performance Monitoring and Optimization:
Establish important metrics to measure the effectiveness and impact of AI-driven digital experiences.
Regularly analyze data and user feedback to identify areas for improvement and optimization.

Privacy-Centric Development: Ensure all products are designed with privacy at the forefront, adhering to standard methodologies and regulations. Analytical Demeanour: Strong analytical and problem-solving skills, with the ability to demonstrate data-driven insights to make informed decisions. Collaborator Management:
Collaborator Collaboration: Work closely with Data Engineering, Data Science, Data Strategy, and Sales teams to design and deliver optimal solutions that Communicate efficiently with executive leadership, communicating AI strategies, progress updates, and results. Collaborate with business collaborators to align AI initiatives with broader business goals.

Represent Salesforce on Salesforce for Data Cloud for internal users and customers, working closely with Product Marketing Managers and Sales to enable/educate them on what we do and how we use Data Cloud internally to promote the product. Team Leadership: work with a team of product managers, setting clear objectives.


8-10 years of dynamic experience in product management, with a focus on delivering Data and AI products. Previous leadership or management experience is required. Experience speaking publicly to Executives and customers and ability to convey complex concepts to technical and non-technical collaborators. Experience working with remote/global teams and governance structures. Consistent record of delivering successful products, concurrently and at scale. Shown ability leading scrum teams, and writing detailed product/ technical requirement documentation Ability to quickly understand systems and technical concepts and an ability to jump into high-level architecture and related conversations in order to collaborate with Data engineers, Data Science, and other business partners. Strategic problem solver who can improve both quantitative and qualitative data to advise your roadmap, and you have a curiosity about identifying both quick wins and big bets. Experience providing enablement, product training, and technical expertise, facilitating creation and maintenance of proper product documentation, communicating work to collaborators, and participating in User discovery sessions with prospects and collaborators Education - We prefer a Bachelor's degree in business or computer science, or equivalent business experience.


  • Technology - Proficiency/ familiarity with our tech stack: Salesforce, Salesforce Data Cloud, and Marketing Cloud. A huge plus with experience landing SaaS implementations and handling organizational change for adoption.
  • Salesforce certifications and/or Trailhead Super Badges
  • General knowledge or previous working experience/exposure to sales, sales operations, and/or B2B marketing. Understanding and familiarity with marketing technology solutions and the Digital Marketing domain
  • Experience working with/leading contractors/consultants
  • Experience interacting with customers on calls and making pitches to small/medium-sized audiences at conferences.
  • Master's degree or equivalent experience in Computer Science/MBA is a plus


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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 $210,800 to $305,600.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: