Sobre

• Important Information
• Location: Brazil
• Job Mode: Full-time
• Work Mode: Work from home
• Job Summary
• As a Product Owner of an AI-Powered SaaS Solution, you will lead the delivery and integration of AI and automation capabilities across a suite of SaaS products. This role bridges product strategy with execution—translating business needs into technical requirements and ensuring that AI-driven features 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.
• Responsibilities and Duties
• Drive the execution and delivery of AI-powered features, use cases, and platform capabilities across multiple SaaS products;
• 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.
• Essential Skills
• 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).
• Highly 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.
• About Encora

• Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

• At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.