Nomia helps companies reduce cost, manage risk, and increase efficiency for non-strategic third-party spend. We act as an extension of our customer’s procurement team by executing the end-to-end sourcing, supplier onboarding and contracting process for indirect categories of spend.
We are focused on delivering an innovative and disruptive procurement solution to our customers to make managing non-strategic spend simpler, more transparent, and better value.
We are a global team based in the United Kingdom, Singapore, Dubai, Poland, and the United States.

SKILLS/QUALIFICATIONS

• Direct experience dealing with SaaS platforms in the procurement industry focusing on scalable, AI-driven solutions
• Familiarity with LLMs, prompt engineering, and inference workflows from a user experience perspective
• Interaction with AI technology training and iteration from MVP to fully autonomous and self-learning
• Track record for delivering AI solutions related to dynamic sourcing, supplier matching, categorisation and tagging, and procurement-centric workflows
• Experience defining product requirements and user stories for AI/ML-powered features
• Strong collaboration and communication skills across technical and non-technical teams
• A bias for experimentation, iteration, and user-first design

THE ROLE

We’re looking for an AI Product Owner to lead the development of our AI strategy that includes the use of GenAI and agentic, data-driven experiences across Nomia’s platform.
You will sit at the intersection of product, engineering, procurement strategy and the customer — building AI solutions that intelligently manage dynamic sourcing flows, sourcing tasks, onboarding processes, and drive real business outcomes.

RESPONSIBILITIES

• Supporting the development of the AI product vision and deployment plan. Working closely with the Director of Product to turn the vision into actionable goals.
• Gather requirements into a backlog, and run AI sprints. Create detailed user stories, acceptance criteria, and other product documentation to guide the development team.
• Partner with internal and external customers to gather and prioritise feedback against Nomia IP, customer value, etc.
• Own the roadmap for AI development—prioritising use cases like supplier recommendation, compliance validation, and RFP automation, etc.
• Track progress against the product roadmap, identify and mitigate risks, and adjust plans as necessary to ensure successful delivery.
• Ensure tools are used effectively to gain visibility and metrics on sprint efficiency and ensure constant improvement
• Stay informed about industry trends, competitor products, and emerging technologies to drive innovation and maintain a competitive edge in the market.
• Act as the primary liaison between the development team, stakeholders, and other cross-functional teams, ensuring clear communication and alignment throughout the development process
• Drive data integration strategies, helping structure how our AI consumes structured/unstructured data
• Measure success of AI products via performance metrics (automation rate, time-to-solve, user satisfaction, etc.) and ensure business case is measured