Leading the development of an internal AI capability aimed at enhancing SalesStar’s core service offering and preparing the business for the next phase of growth.
The focus is on identifying and validating high-impact use cases for AI within SalesStar’s sales coaching ecosystem, aligning with existing business models while future-proofing the company’s proprietary IP and delivery systems.
Collaborating with technical advisors and internal stakeholders to design and implement a robust MLOps pipeline and build enterprise-grade AI tooling that surfaces meaningful insights for both coaches and clients.
Key responsibilities and areas of focus:
– Identifying AI applications that increase the impact and scalability of current services
– Designing architecture and workflows to operationalise machine learning within the business
– Using prompt engineering, data labelling, and RAG techniques to enrich training data
– Implementing secure ingestion and scraping protocols to structure domain knowledge
– Building and testing fine-tuned models, including evaluation and reinforcement loops
– Planning and managing front-end UI/UX design, web development, and API systems
– Integrating product thinking with data science, engineering, and design best practices
This role offers deep exposure to AI productisation, software development at scale, and the challenges of translating subject matter expertise into intelligent, usable systems.