Senior Product Manager, Search & Intelligence Experiences

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 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.

What You Bring:

• 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.

Preferred Qualifications:

• 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.