Job Title: AI Product Delivery Lead
Job Description
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.
Key Responsibilities:
* 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 & Qualifications
The ideal candidate should have proven experience managing AI/ML-driven product initiatives within SaaS environments. They should also have a strong understanding of agile methodologies and end-to-end product lifecycle management.
Around this core capability, they should possess exceptional communication skills with the ability to translate complex technical concepts into business terms.
They should also be data-driven, able to define success metrics, and measure adoption and performance.
Furthermore, they should have experience coordinating multidisciplinary teams (engineering, data science, product, and UX).
Desirable Skills & Qualifications
Experience with machine learning model lifecycle management—from concept to deployment—is highly desirable.
Additionally, familiarity with AI integration in enterprise SaaS systems, including automation, natural language processing (NLP), and predictive analytics would be beneficial.
Understanding of MLOps, model monitoring, and continuous improvement practices is also advantageous.
Lastly, being able to balance innovation with scalability and compliance requirements will make them stand out as a top candidate.
About This Role
This position requires a unique blend of technical expertise, strategic vision, and collaborative leadership skills.
At our company, we're dedicated to developing cutting-edge AI solutions that drive business results and improve user experiences.
If you're passionate about harnessing the potential of AI to transform businesses and industries, then this is an excellent opportunity to join us.