Market Research for the Disruptive Economy.
AI Product Manager
Location
New York
Posted
21 hours ago
Salary
$165K - $195K / year
Seniority
Senior
Job Description
AI Product Manager
YipitData
• 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.
Job 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.
Benefits
- flexible work hours
- flexible vacation
- a generous 401K match
- parental leave
- team events
- wellness budget
- learning reimbursement
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