Principal Researcher, Product Research & Insights - Tableau

Position: Principal Researcher, Product Research & Insights - Tableau Next
* 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 Category User Experience Job Details
**** 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.##

**** 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.
**** Role Description
**** We are seeking a Principal Researcher to support Tableau Next, our new end-to-end analytics experience built on the Salesforce Platform and deeply integrated with Agentforce. This role will shape the next generation of analytics capabilities that democratize data, insights, and decision-making across the enterprise, enabling users to move from questions to action through AI-powered, agentic experiences. The ideal candidate will lead strategic and tactical research to inform product, design, and engineering decisions, bringing deep expertise in analytics, data platforms, and complex enterprise workflows, along with a strong point of view on how AI can meaningfully augment human decision-making s role will work cross-functionally across highly technical teams, helping to root strategy in action;

manage collaborative efforts across multiple research initiatives; and focusing on customer value above all else. At bare minimum, we require familiarity with enterprise software, particularly “as-a-service,” and its evolving personas (Admins, Developers, Data Engineers, BI, IT, CIOs, CDOs).

Experience with enterprise analytics solutions and AI adoption, along with advanced competency across mixed research methods, will be a value add. Candidates should also have some experience and understanding of Generative AI, and related technologies.
**** Your Impact
***** Scope and drive full research initiatives, including planning, developing, and executing studies, managing stakeholders, triangulating data, and translating insights into actions
* Proactively partner with senior management across cross-functional teams, including product, design, engineering, and customer success to identify and advocate for product strategy rooted in data and customer insights
* Conduct strategic, generative, and evaluative research using the appropriate mix of research methods, from large-scale survey design to in-depth interviews
* Synthesize research findings into actionable insights by creating narratives to frame problems and highlight the business value of recommended solutions
* Work on fast-paced and oftentimes ambiguous projects and programs, requiring attention to detail and working within constrained timelines, by staying true to scope and focusing on end goals and outcomes
* Contribute to our broader Research & Insights organization through mentorship, cultivating and teaching craft and methodology, and facilitating deep collaboration across individuals and teams
**** Minimum Requirements
****** Please include a portfolio of 1-2 research projects with details of your direct contributions with your application.
*** 8-10+ years of experience conducting research in product research, user research, market research, or other technology contexts
* Advanced understanding of research methods (qualitative and quantitative) and best practices, and familiarity with a broad range of user research tools
* Advanced understanding in survey methodologies…