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AI Product Manager

Job in New York, New York County, New York, 10261, USA
Listing for: Neura Market
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    AI Business & Operations, Business Intelligence, AI Evaluation
Salary/Wage Range or Industry Benchmark: 140000 - 150000 USD Yearly USD 140000.00 150000.00 YEAR
Job Description & How to Apply Below

About Us:

Yipit Data is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ride sharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

What It’s Like to Work at Yipit Data:

Yipit Data isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals.

From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses Yipit Data:
  • Ownership That Matters
    :
    You’ll lead high-impact projects with real business outcomes
  • Rapid Growth
    :
    We compress years of learning into months
  • Merit Over Titles
    :
    Trust and responsibility are earned through execution, not tenure
  • Velocity with

    Purpose:

    We move fast, support each other, and aim high—always with purpose and intention

If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—Yipit Data might be the opportunity you’ve been waiting for.

About This Role

We’re hiring an AI Product Manager to build the next generation of investor-facing products powered by AI.

You’ll sit on the Public Investor team
, owning products that help institutional investors turn complex data into faster, higher-conviction decisions. This includes AI-powered workflows across:

  • MCPs (Model Context Platforms)
  • AI agents for research and analysis
  • Investor-facing portal experiences
  • Data feeds and programmatic access

This is not a traditional PM role. You’ll operate at the intersection of AI capabilities, user workflows, and proprietary data, defining how cutting‑edge models translate into real investor value.

You’ll work directly with investors, researchers, and engineers to design systems that don’t just surface insights, but actively assist, automate, and augment decision‑making. We have unmatched data. What we need is world‑class user experience to unlock it—so customers can turn our insights into value t’s where you come in.

Key Responsibilities
  • 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…
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