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.Job CategoryProductJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and were looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforces core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.Data Product Manager, Sales (Director)Office hybrid in San Francisco, CAThe Data Solutions team powers Salesforces digital transformation by harnessing data and AI to drive strategic and automated decisions across the organization.As Sales Data Science within Data Solutions, were dedicated to accelerating revenue growth and elevating customer success. Leveraging Salesforce technology, we build reliable data and AI products that empower sellers to discover their next deals while delivering powerful insights that enable leaders to set strategic priorities. Data is the fuel for both humans and agents—and we own the entire supply chain. From creation and storage through transformation to deployment in dashboards, algorithms, data products, insights, and experiments, we maintain a trust-first approach that ensures responsible data practices at every step.The Opportunity:We are seeking an experienced and visionary Data Product Manager to lead the evolution of data products within our Sales domain, operating in a data mesh architecture. In this pivotal role, youll bridge sales business needs with advanced data solutions, creating data products that empower our sales teams with actionable insights and accelerate revenue growth. Youll champion the data as a product philosophy, ensuring our sales stakeholders have data that is discoverable, addressable, trustworthy, and interoperable.The Role: As a Director in Data Product Management on the Sales Data Science team, youll lead the development and productionalization for sales data use cases. Youll play a pivotal role in working with cross functional stakeholder and engineering teams to build dependable data products for real-time dashboards, predictive solutions and agentic applications. You will be deeply involved and driving data platform capabilities which ensure trusted data products, with high quality, governance, lineage, and reliability. Your work will enable the creation of powerful data mesh products which will serve an enterprise audience. Throughout, youll ensure compliance with Product Legal, Data Governance, and Privacy/Consent standards. Your efforts will drive seamless data integration, activation, and broad organizational adoption.What Youll Do:<ul><li>Data Product Strategy &amp; Roadmap: Define and execute the vision, strategy, and roadmap for data products in the Sales domain, aligning with overall business objectives and data mesh principles.</li><li>Data-Driven Mindset: Youre a data PM at heart, living by the principle What is not measured cannot be improved by expertly defining, measuring, and monitoring adoption metrics and business impact metrics.</li><li>Stakeholder Collaboration: Partner closely with Sales leadership, operations, and individual contributors to deeply understand their challenges, data needs, and opportunities for data-driven improvement.</li><li>Requirements Gathering &amp; Prioritization: Translate complex business requirements into clear, concise, and actionable data product specifications and user stories, prioritizing features based on business value and technical feasibility.</li><li>Data Product Ownership: Act as the product owner for sales data products, managing the entire product lifecycle from ideation to launch and continuous iteration. This includes defining success metrics, monitoring performance, and gathering feedback for enhancements.</li><li>Data Mesh Evangelist: Champion data mesh principles within the Sales domain, advocating for data ownership, domain-oriented data products, self-serve capabilities, and federated computational governance.</li><li>Technical Acumen: Work closely with data engineers, analytic engineers, and data scientists. Youll understand the technical complexities of data platforms and help guide the build-out of robust, scalable data products.</li><li>Platform &amp; Tooling Expertise: Leverage your deep understanding of modern data platforms and tools (e.g., Snowflake, dbt, Airflow, Dagster) to drive platform enhancements to ensure best data products.</li><li>Sales Domain Expertise: Apply your strong understanding of sales processes, metrics, and systems to identify high-impact data product opportunities. Familiarity with pipeline management, sales reporting, territory planning, quota attainment, and product/customer hierarchies is essential.</li><li>Data Quality &amp; Governance: Ensure data products adhere to high standards of quality, reliability, and security, working within a federated governance model.</li><li>Go-to-Market &amp; Adoption: Develop and execute go-to-market strategies for new data products, including user training, documentation, and communication plans to drive adoption and value realization.</li><li>Performance Monitoring: Define and track key performance indicators (KPIs) for your data products, demonstrating their impact on sales effectiveness and business outcomes.</li></ul>What You Bring:<ul><li>Strategic &amp; Technical Problem Solver: Youre adept at deconstructing sophisticated problems, applying your technical depth and a data-driven approach to finding solutions. You can demonstrate both quantitative and qualitative data to inform your roadmap, with an interest in identifying both quick wins and big bets. Youll partner effectively with engineering, product marketing, product leadership, and our incredible PM team to define and scale pilot launches.</li><li>10+ years of product management experience, with at least 5+ years focused on data products or data platforms.</li><li>Proven experience operating within or transitioning to a data mesh architecture.</li><li>Deep familiarity and hands-on experience with modern data platforms and tools, including:</li></ul><ul><li>Cloud Data Warehouses: Snowflake (or similar like BigQuery, Redshift)</li><li>Data Transformation: dbt (data build tool)</li><li>Orchestration: Apache Airflow, Dagster, or similar workflow management tools</li></ul><ul><li>Strong domain expertise in Sales, with a comprehensive understanding of sales processes, CRM systems (e.g., Salesforce), and key sales metrics (e.g., win rates, conversion rates, pipeline velocity, ACV, ARR).</li><li>Experience defining and analyzing sales-specific metrics Managing multiple data products such as pipeline stages, forecast accuracy, product hierarchy performance, and customer segmentation simultaneously across their full lifecycle while coordinating cross-functional teams, balancing priorities, and maintaining quality in a data mesh.</li><li>Excellent analytical and problem-solving skills, with the ability to translate complex data and technical concepts into business value for sales stakeholders while converting sales needs into actionable requirements for technical teams.</li><li>Exceptional communication, presentation, and interpersonal skills, with the ability to influence strategic decisions by presenting data product roadmaps and business impact to senior leadership while building credibility across all organizational levels from sellers to C-suite.</li><li>Demonstrated ability to lead cross-functional teams in an agile development environment.</li><li>A related. technical degree required.</li></ul>Bonus Points If You Have:<ul><li>Experience with data cataloging, data quality and discovery tools.</li><li>Familiarity with data governance frameworks and tools in a distributed data environment.</li><li>Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker).</li></ul>Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this <a href="https://careers.mail.salesforce.com/accommodations-request-form" target="_blank">Accommodations Request Form</a>.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. <a target="_blank" href="https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal">Know your rights: workplace discrimination is illegal.</a> Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.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.<h3></h3><h3></h3><h3></h3><h3></h3><h3></h3><h3></h3>For California-based roles, the base salary hiring range for this position is $230,800 to $334,600.<h3></h3><h3></h3>