Note: The job is a remote job and is open to candidates in USA. YipitData is the leading market research and analytics firm for the disruptive economy, seeking an AI Product Manager to build investor-facing products powered by AI. The role involves owning product strategy, designing AI-native products, and collaborating with customers and cross-functional teams to enhance decision-making processes for institutional investors.
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
Benefits
- 10% performance bonus
- Equity
- Flexible work hours
- Flexible vacation
- A generous 401K match
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
Company Overview