Senior Product Manager, Search & Intelligence Experiences

With 1,000+ intelligence professionals serving over 1,900 clients worldwide, Recorded Future is the world’s most advanced, and largest, intelligence company! Recorded Future is looking for a Senior Product Manager to own how analysts find, explore, and make sense of intelligence: search and query, the display methods and interaction paradigms that surface results, and the AI capabilities woven through all of them. This role sits at the center of how users interact with our intelligence platform. You'll shape how someone goes from a question to an answer—and you'll have room to rethink the paradigms entirely, not just optimize what exists today. The goal is to make these experiences coherent, fast, and trustworthy for security analysts who work under time pressure and demand precision. We also expect this PM to be a power user of AI in their own workflow—building agents, using them to synthesize research and inputs, and accelerating how product requirements and analysis get produced. What You'll Do: Define and drive the product vision and roadmap for search, query, and how results are displayed and explored—grounded in analyst workflows and competitive dynamics. Rethink interaction paradigms from first principles where the current model doesn't serve users well. Partner closely with engineering, design, and data science to ship capabilities that are both powerful and legible to non-technical and expert users alike. Work with go-to-market and enablement teams to ensure new capabilities land with customers and internal stakeholders. Make deliberate decisions about where AI adds genuine value versus where it introduces noise or erodes trust—especially critical for an audience that scrutinizes automated output. Use quantitative signals and qualitative research to prioritize, measure impact, and iterate. What You'll Own: The search and querying stack: from query construction through the analysis and results experiences that let analysts explore, pivot, and refine. Display methods and interaction paradigms: how intelligence gets surfaced, summarized, and navigated—with the mandate to invent new models where needed, not just maintain existing ones. AI integration across these surfaces: how summarization, natural-language querying, and assistive capabilities are embedded into search and results in ways analysts can rely on and verify. The connective tissue across these experiences—ensuring query, results, and exploration feel like one coherent system rather than separate tools. How You Work with AI: Build and orchestrate agents to automate parts of your own workflow—research synthesis, competitive monitoring, requirement drafting, and analysis. Use AI to compress the path from raw inputs (customer calls, docs, data, stakeholder feedback) to structured requirements, PRDs, and decision-ready artifacts. Treat AI tooling as a core part of the craft: experiment with new capabilities, develop reusable patterns, and…