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Product Manager, AI

2 months ago
United States
Full-time
Mid Level
Product Manager
Product Management
LLM Machine Learning
Apply Now
YipitData

YipitData

YipitData specializes in market research for the disruptive economy by analyzing billions of data points daily to deliver accurate and timely insights on over 1,000 companies, aiding investors in making informed decisions and helping businesses enhance...

Professional Services
251-1K
Founded 2013
$492M raised
View All Jobs 12

Description

  • Own the AI product strategy for public market investor workflows.
  • Build AI-native products across agents, copilots, structured outputs, and investor-facing experiences.
  • Evaluate and integrate LLMs, retrieval systems, and agent architectures into production products.
  • Work directly with hedge funds and asset managers to understand workflows, pain points, and trust requirements.
  • Run rapid experimentation and iteration using prompts, evaluations, and product UX feedback loops.
  • Collaborate with engineering, data, research, and design to ship high-impact products.
  • Define evaluation frameworks for AI outputs to ensure accuracy, consistency, and reliability.
  • Contribute to the evolution of MCPs, agents, and APIs into a unified AI product ecosystem.

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.
  • Experience building 0→1 or ambiguous products.
  • Strong user research and customer discovery skills with curiosity about AI systems such as LLMs, agents, retrieval, and evals.
  • Generalist knowledge of both engineering and design.
  • Ability to design and evaluate prompts, contexts, and model behaviors.
  • Analytical mindset with comfort using data and experimentation.
  • Great communication and collaboration skills.
  • High ownership mindset with a bias toward action and learning.
  • Familiarity with financial markets or investor workflows, preferred.
  • Experience with data platforms, APIs, or developer-facing products, preferred.
  • Background in analytics, research, or quantitative environments, preferred.
  • Visa sponsorship is not available for this role.

Benefits

  • Annual base salary of $140,000-$150,000.
  • 10% performance bonus.
  • Equity compensation.
  • Flexible work hours.
  • Flexible vacation.
  • Generous 401(k) match.
  • Parental leave.
  • Team events, wellness budget, and learning reimbursement.
  • Fully remote work within the United States.

Interested in this position?

Apply directly on the company website

Apply Now

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