Product Leadership Opportunity
About the Role:
We are seeking an accomplished Product Owner to spearhead the development and integration of AI-driven features across our suite of software products. As a key member of our team, you will play a pivotal role in bridging product strategy with technical execution.
Responsibilities:
* Drive the delivery and integration of AI-powered features, use cases, and platform capabilities across multiple software products;
* Translate business and product 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 leading digital engineering and modernization partner for top enterprises and digital native companies. With over 9,000 experts worldwide, we offer a range of technology practices including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.