Senior PM/Director of Product Management, Data Tools

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Job Category

Product

Job Details

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.

Slack is seeking an experienced Product Manager to drive our internal data tools strategy and revolutionize how our product teams discover, analyze, and act on data. You'll lead the evolution of our self-serve analytics platform, experimentation infrastructure, and next-generation AI-powered data agents that democratize insights across our organization.
You are a technical product manager who can get into the weeds with engineers and also communicate effectively to execs.  You are committed to deeply understanding the needs of your internal stakeholders – Product, BizOps, Engineering, and more – so that you can define a unified multi-year vision that addresses their pain points and builds a stable foundation for healthy data platforms.  Your ultimate goal is to enable others to quickly get the metrics they need, easily digest what they mean, and be confident that they are accurate.

What You'll Do

• Own the end-to-end product strategy for our data tools ecosystem, including self-serve analytics, experimentation platforms, and intelligent data agents

• Design and implement experimentation frameworks that enable teams to run A/B tests, measure impact, and make data-driven decisions at scale

• Lead the development of AI-powered data agents that help users discover insights, generate reports, and automate routine analysis tasks

• Partner with ML/AI teams to integrate LLMs and other AI technologies into intuitive, conversational data experiences

• Define self-serve capabilities that reduce dependency on data teams while maintaining governance and data quality

• Collaborate with executive leadership to prioritize the data tools roadmap with broader company objectives

• Establish frameworks for measuring product success and user adoption across complex data workflows

What We're Looking For

• 5-10 years of product management experience with at least 2+ years in senior roles

• Deep expertise in experimentation methodologies, statistical analysis, and causal inference

• Experience building self-serve data products that scale to thousands of users

• Strong technical background with hands-on experience in SQL, Python, and modern data stack technologies

• Understanding of AI/ML applications in data tooling, including prompt engineering and agent frameworks

• Proven track record of launching products that significantly improve user productivity and business outcomes

• Experience with data governance, privacy, and compliance considerations

• Exceptional stakeholder management skills with ability to influence C-level executives

Bonus Points

• Experience with agent frameworks (LangChain, AutoGen, etc.) and conversational AI interfaces

• Previous work on experimentation platforms (Optimizely, LaunchDarkly, internal tools)

• Background in data science, ML engineering, or analytics engineering

• Experience at high-growth SaaS companies with complex data needs

Accommodations

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Posting Statement

Salesforce 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. 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. 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.

For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.

For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.