About the position
Salesforce is seeking an experienced Senior 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.
Responsibilities
- 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
Requirements
- 5-7 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
Nice-to-haves
- 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
Benefits
- Time off programs
- Medical, dental, vision
- Mental health support
- Paid parental leave
- Life and disability insurance
- 401(k)
- Employee stock purchasing program
