San Francisco, CA, US; Remote, US (United States) · Remote
Full-time
Mid level
1 month ago
Verified apply link — checked 1 hour ago
Salary undisclosed
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest is looking for a Staff Qualitative researcher to play a crucial role in the Pinterest monetization team to scope, execute research and uncover insights. We are looking for a talented and creative storyteller who ideally has had experience working in B2B, digital e-commerce or advertising experiences and who can bring actionable insights to life to drive product impact What you’ll do: Scope, prioritize, execute research using various qualitative methodologies for one or more sub areas of the monetization product Identify and articulate gaps in our understanding of the monetization products they support that can (directly or indirectly) impact our products Collaborates effectively with researches across Pinterest and builds strong relationships as a strategic thought partner with key senior cross functional partners (across Marketing, Product, Design, etc.) to influence strategy through insights Proactively communicates and shares research findings with product and cross functional teams, leaders and other audiences (within or across orgs) in compelling, actionable and engaging ways Inform and guide product decisions and strategy within the monetization space that can transcend beyond their immediate teams What we’re looking for: 5+ years experience scoping, designing and conducting end-to-end product research (from initial design and recruitment through final deliverable) as part of cross-functional product teams, ideally in ad tech, b2b, enterprise SaaS industry Ability to toggle between owning and executing end-to-end research and leveraging insights to shape strategy and influence decision making with product leaders. Ability to identify key areas/ key questions for research to go after is a must. Demonstrated working knowledge of modern AI tooling (e.g., LLM-based workflows, prompt/prototype tools, evaluation/QA methods) and hands-on experience planning and conducting user research for AI-powered products or features (from study design through insights and recommendations). Broad toolbox of qualitative methods and the ability to select appropriate methods to answer different types of questions Curiosity, self-awareness, humility, and a drive for growth, learning, and sharing knowledge Excellent communication, collaboration, and group facilitation skills Experience recruiting and conducting research with businesses or on B2B products, a plus. Ads background preferred but not required. Bachelor's degree in a relevant field, or equivalent experience. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can var
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