Product Manager

Hebbia is an AI platform for institutional finance that lets teams use AI agents to research, analyze, and produce work across complex document and data sets.

New York, United States
About Hebbia

Hebbia provides institutional-intelligence software for financial organizations. Its Max and Matrix products support agentic research, analysis, and traceable workflows across firm data and external financial sources.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own the strategy and roadmap for a product area that helps investors and bankers research, analyze information, and produce reliable work. You will conduct customer research, design workflows, define requirements and prototypes, evaluate AI outputs, make product decisions, and lead launches through adoption. You will measure product outcomes and improve subsequent releases.

Requirements

  • Experience independently owning a software product area from discovery through launch and adoption
  • Product judgment to turn ambiguous problems into priorities, requirements, and focused releases
  • Technical fluency with APIs, data systems, and AI products
  • Hands-on experience using AI tools for research, prototyping, data analysis, or software development
  • Customer instincts and commercial judgment
  • Product craft and usability expertise
  • Clear communication and judgment under uncertainty
  • Ability to test products and improve them after launch
  • Experience with enterprise software, financial workflows, integrations, or AI evaluation

Responsibilities

  • Own product strategy and roadmap, connecting customer needs and business goals to priorities and measurable outcomes
  • Use customer research, product usage data, and deployment lessons to identify and prioritize valuable problems
  • Design user workflows and translate them into requirements, prototypes, and initial releases
  • Partner with engineering, design, and research on product and technical tradeoffs
  • Set quality standards for AI outputs using customer tasks, acceptance criteria, and evaluations
  • Prioritize reusable capabilities based on customer value, commercial opportunity, delivery effort, and operating cost
  • Drive execution by making product decisions, resolving questions, and providing engineering context
  • Own launches, rollout, adoption, enablement, and customer feedback
  • Measure usage, task success, retention, and business impact to guide future releases

Benefits

  • Unlimited PTO
  • Medical, dental, vision, and 401K insurance
  • Catered daily lunch
  • DoorDash dinner credit for late work
  • Parental leave
  • $15K lifetime fertility benefit
  • New-hire equity grant