AI Product Manager

YipitData

AI Product Manager at YipitData, developing AI-driven products for investors. Collaborate with teams to enhance data-driven decision-making through innovative user experiences.

Posted 6/23/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSenior💰 $165,000 - $195,000 per yearWebsite

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

flexible work hours
flexible vacation
a generous 401K match
parental leave
team events
wellness budget
learning reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI product strategyAI-native productsLLMsretrieval systemsagent architecturesproduct UXprompt designdata analysisproduct managementcustomer discovery

Soft Skills

strong product instinctsuser researchanalytical thinkinggreat communicationcollaborationhigh ownership mindsetcuriositybias toward actioniterationfeedback loops