[Hiring] Product Manager, AI @YipitData

Role Description

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

• 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 Have

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

Benefits

• The annual base salary for this position is anticipated to be $140,000 - $150,000, with a 10% performance bonus, and equity.
• Flexible work hours and flexible vacation.
• A generous 401K match.
• Parental leave.
• Team events.
• Wellness budget.
• Learning reimbursement.