You will be responsible for leading the development and integration of AI capabilities across a suite of software products. This role bridges product strategy with execution, translating business needs into technical requirements.
As a Product Owner of an AI-Powered Solution, you will coordinate closely with data science, engineering, and product teams to build scalable, high-impact AI solutions that enhance user experience and business performance.
Key Responsibilities
* Drive the execution and delivery of AI-powered features, use cases, and platform capabilities across multiple software 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.
Requirements
Proven experience managing AI/ML-driven product initiatives within software 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).
About Us
We are a digital engineering and modernization partner of leading enterprises and digital native companies. With over 9,000 experts worldwide, our technology practices include product engineering & development, cloud services, quality engineering, DevSecOps, data & analytics, digital experience, cybersecurity, and AI & LLM engineering.