AI Expert

Há 2 dias

Brasília DF, Brasil beBeeArtificial Tempo inteiro

Product Owner & AI Expert We are seeking a seasoned Product Owner to lead the delivery and integration of AI-driven features across our suite of SaaS products. This role bridges product strategy with execution, translating business needs into technical requirements and ensuring that AI-driven solutions deliver measurable value. The ideal candidate will coordinate closely with data science, engineering, and product teams to build scalable, high-impact AI solutions that enhance user experience and business performance. As a key member of our team, you will be responsible for driving the execution and delivery of AI-powered features, use cases, and platform capabilities across multiple products. Key Responsibilities: Translate business and product team requirements into actionable technical stories and sprint deliverables for data science and engineering teams; Collaborate with cross-functional squads to embed AI and automation into existing product workflows (e.g., recruiting, onboarding, performance, learning, analytics, and public safety); Define and manage the product backlog for AI feature delivery, striking a balance between immediate priorities and long-term platform scalability; Develop execution roadmaps, milestones, and release plans for model training, integration, and deployment across multiple product lines; Track key performance indicators (velocity, cycle time, release quality, adoption metrics) to ensure continuous improvement in delivery efficiency; Oversee post-deployment validation, ensuring model accuracy, reliability, and user experience alignment. Requirements: Proven experience managing AI/ML-driven product initiatives within SaaS environments; Strong understanding of agile methodologies and end-to-end product lifecycle management; Exceptional communication skills with the ability to translate complex technical concepts into business terms; Data-driven mindset with the ability to define success metrics and measure adoption and performance; Experience coordinating multidisciplinary teams (engineering, data science, product, and UX). Desirable Skills: Experience with machine learning model lifecycle management—from concept to deployment; Familiarity with AI integration in enterprise SaaS systems, including automation, natural language processing (NLP), and predictive analytics; Understanding of MLOps, model monitoring, and continuous improvement practices; Ability to balance innovation with scalability and compliance requirements.

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