AI Product Manager

Summary

YipitData is the leading market research and analytics firm for the disruptive economy, and they are seeking an AI Product Manager to build the next generation of investor-facing products powered by AI. The role involves defining AI product strategies, collaborating with customers, and integrating advanced AI capabilities into user experiences.

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

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

Qualifications

Must Haves

• 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

Benefits

• 10% performance bonus
• Equity
• Flexible work hours
• Flexible vacation
• Generous 401K match
• Parental leave
• Team events
• Wellness budget
• Learning reimbursement