Director, Product Data Science

About Salesforce

Salesforce 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 we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's 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.

About the Role

We are looking for an experienced Director in Product Data Science to build, lead, and scale a high-impact data science team that supports executive-level, data-driven product decision-making across Slack. In this role, you will manage and develop a team of senior and principal Product Data Scientists, setting direction for how data science shapes product strategy, measurement, and execution. You will partner closely with Product, Design, Engineering (PDE), and Data Engineering leadership to ensure data science is deeply embedded in product development—guiding what we build, how we define success, and how we iterate and improve at scale.

At Slack, we foster a positive, diverse, and supportive culture. We look for leaders who are curious, bold, and committed to developing people and raising the bar every day. Our team values being smart, humble, hardworking, and above all, collaborative.

What You Will Be Doing

• Lead, mentor, and grow a team of Product Data Scientists, supporting career development, performance management, and technical excellence
• Set clear priorities and expectations for the team, aligning data science work with product strategy and business outcomes
• Partner with Product, Design, Engineering, and Data Engineering leaders to embed data science into product planning, development, and iteration
• Ensure the team applies advanced data science and analytical techniques to understand product usage patterns, identify opportunities, and evaluate impact
• Guide evidence-based analyses to identify key drivers of product growth, engagement, and long-term success
• Define, standardize, and oversee key product success metrics, ensuring insights are communicated clearly to Slack and Salesforce executive leadership
• Synthesize insights across multiple product areas and business outcomes, ensuring consistency in methodology, metrics, and storytelling
• Serve as a technical and methodological leader for product data science, setting best practices for experimentation, measurement, and causal analysis
• Champion data-informed decision-making by making insights accessible, scalable, and actionable for stakeholders at all levels
• Collaborate closely with Data Engineering and data platform teams to ensure scalable, reliable data pipelines, instrumentation, and analytics infrastructure

What You Should Have

• 7+ years of experience in data science or quantitative analysis, with experience leading or managing senior technical contributors in technology product development or enterprise software environments
• Advanced degree (MS, PhD) in a quantitative field (e.g., Mathematics, Economics, Statistics, Physics, Quantitative Psychology, Engineering, etc.) is a strong plus
• Strong fluency in at least one data science programming language (e.g., Python, R), with the ability to guide, review, and set technical standards for team output
• Experience working with large-scale data technologies and AI tools; familiarity with Apache Airflow or similar orchestration tools is a strong plus
• Strong executive communication skills, with the ability to translate complex analytical findings into clear, actionable insights for senior and executive stakeholders
• Proven cross-functional collaboration and influencing skills, with a track record of impacting decisions at both strategic and executional levels in a large, matrixed organization
• Experience guiding the design and evolution of scalable data pipelines, schemas, and instrumentation in partnership with Data Engineering teams
• Deep understanding of statistical and machine learning methodologies, with the ability to evaluate, coach, and review descriptive and predictive modeling approaches
• Expertise in product data science measurement and experimentation methodologies, with the ability to translate technical analysis into meaningful takeaways for non-technical audiences

Unleash Your Potential

When 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.

Compensation

The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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 https://www.salesforcebenefits.com.

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via the Accommodations Request Form.

Equal Opportunity

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. 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. Know your rights: workplace discrimination is illegal. 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.

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. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.