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YipitData

Market Research for the Disruptive Economy.

Product Manager, AI

Technical Product ManagerTechnical Product ManagerFull TimeRemoteLeadTeam 201-500H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

1 day ago

Salary

$140K - $150K / year

Seniority

Lead

No structured requirement data.

Job Description

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.

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