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YI
AI Product Manager
YipitData · United States
About The Role
Join our team as an AI Product Manager, where you'll be at the forefront of building innovative investor-facing products powered by AI. You'll work closely with institutional investors, researchers, and engineers to design systems that enhance decision-making and unlock the value of our unmatched data. This role requires a strong analytical mindset, experience in product management, and a deep curiosity about AI systems. Enjoy flexible work hours, generous benefits, and the opportunity to shape the future of our platform.
- Definir la estrategia de producto de inteligencia artificial para los flujos de trabajo de los inversores, transformando la forma en que los inversores del mercado público consumen, analizan y actúan sobre los datos.
- Diseñar experiencias de extremo a extremo para productos nativos de inteligencia artificial, no solo características, abarcando agentes, copilotos y salidas estructuradas.
- Colaborar con clientes, ingenieros y otros equipos para comprender profundamente los flujos de trabajo, los puntos de dolor y los requisitos de confianza, y para enviar productos de alta calidad y alto impacto.
- 4-6+ years of product management or similar experience
- Analytical thinker, comfortable with data and experimentation
- Able to design and evaluate prompts, contexts, and model behaviors
- Familiarity with how AI/ML models and AI agents are built and maintained
- High ownership mindset with a bias toward action and learning
- Strong user research and customer discovery skills with deep curiosity about AI systems (LLMs, agents, retrieval, evals)
- Strong product instincts with a track record of building 0→1 or ambiguous products
- Generalist knowledge of both engineering and design
- Experience building AI copilots, agents, or internal AI tools
- Great communicator and collaborator
- Familiarity with financial markets or investor workflows
- Experience with data platforms, APIs, or developer-facing products
- Background in analytics, research, or quantitative environments
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