Senior Product Manager, Search & Intelligence Experiences

This is a fully remote position, open to applicants in Massachusetts.

📋 Description

• Define and lead the product vision and roadmap for search, query, result display, and exploration.

• Reevaluate interaction paradigms from foundational principles.

• Collaborate with engineering, design, and data science teams to deliver robust and understandable capabilities.

• Work alongside go-to-market and enablement teams to introduce capabilities to customers and internal stakeholders.

• Determine where AI provides value versus where it may introduce confusion or diminish trust.

• Utilize quantitative signals and qualitative research to prioritize tasks, assess impact, and iterate.

• Oversee the search and querying stack, from query creation through analysis and results presentation.

• Manage display methods, interaction paradigms, and innovative models for presenting and navigating intelligence.

• Supervise AI integration across search and results, encompassing summarization, natural-language querying, and assistive features.

• Ensure that query, results, and exploration functions as a unified system.

• Build and coordinate agents for research synthesis, competitive analysis, requirements drafting, and evaluation.

• Leverage AI to transform customer calls, documents, data, and stakeholder feedback into requirements, PRDs, and ready-to-make decisions artifacts.

• Experiment with AI capabilities, create reusable patterns, and enhance product-team workflows.

• Prototype and develop tools while constructing workflow scaffolding hands-on.

⛳️ Requirements

• Over 5 years of experience in product management, particularly in search, data exploration, analytics, or information-rich B2B products.

• Strong perspective on designing for expert users dealing with complex data.

• Openness to challenge conventional interaction models.

• Practical experience with AI/LLM tools, ideally including the development or orchestration of agents.

• Knowledge of summarization quality, hallucination risks, verifiability, and latency trade-offs.

• Outstanding collaboration skills across engineering, design, and data science disciplines.

• Capability to translate technical limitations into product decisions.

• Experience with graph-based data models, entity resolution, or knowledge graphs is preferred.

• Familiarity with enterprise or public-sector clients who have stringent accuracy and accessibility needs is preferred.

• Proven history of creating personal or team-level AI tools, automations, or side projects is preferred.

• A background in cybersecurity, threat intelligence, or another high-stakes, detail-oriented field is an advantage.

🏝️ Benefits

• Eligibility for incentive compensation.

• Equity eligibility.

• Medical insurance coverage.

• Dental insurance coverage.

• Vision insurance coverage.

• Life insurance coverage.

• 401K plan.