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YipitData

Market Research for the Disruptive Economy.

AI Product Manager

Product ManagerProduct ManagerFull TimeRemoteSeniorTeam 201-500H1B No SponsorCompany SiteLinkedIn

Location

New York

Posted

21 hours ago

Salary

$165K - $195K / year

Seniority

Senior

Bachelor Degree4 yrs expEnglish

Job Description

AI Product Manager

YipitData

• Own AI product strategy for investor workflows: Define how AI transforms the way public market investors consume, analyze, and act on data. • Build AI-native products, not just features: Design end-to-end experiences across agents, copilots, and structured outputs, not just UI layers on top of models. • Translate frontier AI into real-world utility: Evaluate and integrate LLMs, retrieval systems, and agent architectures into production-grade products. • Work directly with customers: Partner with hedge funds and asset managers to deeply understand workflows, pain points, and trust requirements. • Drive rapid experimentation and iteration: Run tight feedback loops across prompts, evals, and product UX to continuously improve performance and usefulness. • Collaborate across disciplines: Work closely with engineering, data, research, and design to ship high-quality, high-impact products, while communicating clearly with both technical and non-technical partners. • Define quality, reliability, and trust: Establish evaluation frameworks for AI outputs, ensuring accuracy, consistency, and investor-grade reliability. • Shape the future of the platform: Contribute to how MCPs, agents, and APIs evolve into a unified, reliable, and safe AI product ecosystem.

Job Requirements

  • 4-6+ years of product management or similar experience.
  • Experience building AI copilots, agents, or internal AI tools
  • Familiarity with how AI/ML models and AI agents are built and maintained.
  • Strong product instincts with a track record of building 0→1 or ambiguous products
  • Strong user research and customer discovery skills with deep curiosity about AI systems (LLMs, agents, retrieval, evals)
  • Generalist knowledge of both engineering and design.
  • Able to design and evaluate prompts, contexts, and model behaviors.
  • Analytical thinker, comfortable with data and experimentation.
  • Great communicator and collaborator.
  • High ownership mindset with a bias toward action and learning.

Benefits

  • flexible work hours
  • flexible vacation
  • a generous 401K match
  • parental leave
  • team events
  • wellness budget
  • learning reimbursement

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