YipitData

AI Product Manager

YipitData$165K — $195K *
US-AnywhereRemote in United States
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4-6+ years of product management or similar experience
  • Experience building AI copilots, agents, or internal AI tools
  • Familiarity with AI/ML models and AI agent development
  • Proven ability to navigate ambiguous product landscapes
  • Strong user research skills with an interest in AI systems
  • Generalist knowledge of engineering and design concepts
  • Proficiency in designing and evaluating AI prompts and contexts
  • Analytical mindset with data experimentation comfort
  • Excellent communication and collaboration abilities
  • High ownership mindset with a proactive learning approach

Responsibilities

  • Own AI product strategy for investor workflows
  • Build AI-native products, focusing on end-to-end experiences
  • Translate frontier AI into practical applications
  • Engage directly with customers to understand workflows
  • Drive rapid experimentation and iteration in product development
  • Collaborate across engineering, data, and design teams
  • Define quality standards and frameworks for AI outputs
  • Contribute to the evolution of AI product ecosystems

Benefits

  • Flexible work hours and generous vacation policy
  • 401K matching and parental leave
  • Budget for wellness and learning reimbursements
  • Growth opportunities based on impact rather than tenure
  • Team events and a supportive work environment focused on ownership and respect
Full Job Description
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 at scale. That'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 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.

Qualifications & Skills
  • 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 01 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 Have
  • Familiarity with financial markets or investor workflows
  • Experience with data platforms, APIs, or developer-facing products
  • Background in analytics, research, or quantitative environments

What We Offer:

Our compensation package includes comprehensive benefits, perks, a competitive salary, and equity:
  • 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!
  • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. Income may be subject to New York State tax withholding.

Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

About YipitData

YipitData is a data analytics company that provides investment professionals with actionable insights on companies and industries. The company's platform aggregates and analyzes data from a variety of sources, including social media, news articles, and financial reports, to identify trends and patterns that can inform investment decisions. YipitData's clients include hedge funds, private equity firms, and other institutional investors.
Learn more about YipitData
Size
100 employees
Industry
Founded
2010

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