yipitdata
AI Product Manager
At a Glance
- Location
- United States
- Work Regime
- remote
- Experience
- 6+ years
- Compensation
- position is anticipated to be $165,000 - $195,000 , with a 10% performance bonu
- Posted
- 2026-06-23T16:14:04-04:00
Key Requirements
Domain Knowledge
- Engineering
- Finance
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 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.
Compensation & Benefits
The annual base salary for this position is anticipated to be
$165,000 - $195,000
, with a
10% performance bonus
, and equity.
We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
Responsibilities
We’re hiring an AI Product Manager to build the next generation of investor-facing products powered by AI.
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
About the Company
YipitData 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, ridesharing, 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