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Recorded Future is looking for a Senior Product Manager to own the core experiences analysts rely on to find, understand, and act on intelligence: search and query, the analysis views that surface results, Intelligence Cards, and the AI capabilities woven through all of them.

This role sits at the center of how users interact with the Intelligence Graph. You'll shape how someone goes from a question to an answer-whether that's a structured query, a summarized entity view, or an AI-assisted workflow-and you'll be responsible for making these surfaces 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, analysis views, and Intelligence Cards, grounded in analyst workflows and competitive dynamics.
• 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 views that let analysts explore, pivot, and refine.
• Intelligence Cards: the summarized, entity-centric views that give analysts a fast read on a domain, IP, threat actor, vulnerability, or other entity-balancing density, clarity, and depth.
• AI integration across these surfaces: how summarization, natural-language querying, and assistive capabilities are embedded into search and entity views in ways analysts can rely on and verify.
• The connective tissue between these experiences-ensuring search, results, and cards feel like one system rather than separate tools.

How You'll 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 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.
• 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 building personal or team-level AI tooling, automations, or side projects.

The base salary range for this full-time position is $152,000 - $228,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

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