AI Product Manager

YipitData

9h•$165,000 - $195,000•Remote

About The Position

YipitData is a leading market research and analytics firm specializing in the disruptive economy. We leverage proprietary technology to analyze billions of alternative data points across various sectors, providing strategic intelligence to top investment funds and Fortune 500 companies. We foster an award-winning, people-centric culture that emphasizes transparency, ownership, and continuous mastery. We are seeking an ambitious and impact-driven AI Product Manager to build the next generation of investor-facing products powered by AI. This role is part of the Public Investor team, focusing on products that help institutional investors make faster, higher-conviction decisions using AI-powered workflows. This is a unique PM role operating at the intersection of AI capabilities, user workflows, and proprietary data, defining how cutting-edge models translate into real investor value. You will collaborate directly with investors, researchers, and engineers to design systems that assist, automate, and augment decision-making, unlocking the value of our unmatched data through world-class user experience.

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

Nice To Haves

Familiarity with financial markets or investor workflows
Experience with data platforms, APIs, or developer-facing products
Background in analytics, research, or quantitative environments

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 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.