Senior Product Manager, Search & Intelligence Boston, MA

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.

• 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.

• 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.

• 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 raise the bar for how the product team operates.
• Bring a builder's instinct—comfortable prototyping, wiring up tools, and getting hands‑on rather than waiting for someone else to build the scaffolding.

• 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.
• Bonus: 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…