Senior Product Manager, Search & Intelligence Experiences

Recorded Future•Boston, MA

9h•Remote

About The Position

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.

Requirements

5+ years in product management, with meaningful experience on search, data exploration, analytics, or information-dense B2B products.
A strong point of view on how to design for expert users working with complex data—and a willingness to challenge established interaction models.
Hands-on experience using AI/LLM tools in your own work—ideally including building or orchestrating agents—plus a clear grasp of their tradeoffs: summarization quality, hallucination risk, verifiability, latency.
Excellent collaboration skills across engineering, design, and data science, plus the ability to translate technical constraints into product decisions.

Nice To Haves

Background in cybersecurity, threat intelligence, or another domain where users are skeptical, high-stakes, and detail-oriented.
Experience with graph-based data models, entity resolution, or knowledge graphs.
Exposure to enterprise or public-sector customers with strict requirements around accuracy and accessibility.
A track record of building personal or team-level AI tooling, automations, or side projects.

Responsibilities

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.