AI Product Manager

Vaga não está no LinkedIn

🕒 Janeiro 8

🏄 California, New York – Remoto

🏄 California – Remote 🗽 New York – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

✅ Gerente de Produto

👻 Score fantasma 69%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Navigate AI

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1 - 10 funcionários

💼 Consultoria

🤖 Inteligência Artificial

🤝 B2B

Consulting • Artificial Intelligence • B2B

Aconselhamos empresas a impulsionarem sua jornada em IA

Descrição

• Own model evaluation and quality standards • Take full ownership of all evaluation systems, validation sets and quality metrics • Establish and maintain “golden sets” for every product as the source of truth for quality and accuracy • Drive measurable accuracy improvements • Lead accuracy initiatives across all products, improving precision, recall, and overall model performance • Define and track AI performance metrics and client SLAs as we scale • Automate quality workflows • Identify manual QA and data entry processes and redesign them through automation • Reduce human intervention by increasing model confidence, reliability, and repeatability • Build scalable evaluation pipelines • Create repeatable processes to evaluate pilots and active customers quickly • Ensure accuracy metrics remain high as customer volume and product surface area grow • Close the real-world feedback loop • Capture and analyze real-world model errors • Prioritize accuracy issues and partner with Engineering to drive continuous model improvement

🎯 Requisitos

• Strong analytical foundation • Hypothesis-driven problem solver with deep comfort in data analysis and metrics • Understands statistical significance and how to curate representative validation datasets • Bias toward execution and ownership • Thrives in ambiguity and moves quickly from problem to solution • Comfortable owning outcomes end-to-end and delivering results without perfect information • Technical fluency (without needing to code) • Understands data pipelines, model behavior, and ML workflows • Can scope issues clearly and collaborate effectively with engineers • Proficient in SQL • Early adopter of vibe-coding tools • AI-native mindset • Learns and adopts new AI tools quickly • Continuously improves workflows to maximize automation and leverage model capabilities • Clear communicator and influencer • Translates complex accuracy metrics into clear, actionable insights • Aligns Product, Engineering, and Go-To-Market teams around quality standards and priorities

🏖️ Benefícios

• Help define the future of AI Copilots in a huge market ripe for transformation • Massive ownership and impact as an early team member • Work with high-agency teammates and major enterprise customers