Strengthen the foundations that make AI products reliable, including evaluations, guardrails, fallbacks, human-in-the-loop workflows, and clear error handling when models fail.
If you want a path from owning Oyen's operations end to end to running more Emerge brands, and eventually managing the support team, that path is here.
Work directly with customers. Understand their business, workflow, technology stack, and pain points instead of receiving every problem through layers of abstraction.
Integrate software engineering, quality assurance, devsecops, and mlops frameworks, guidelines and processes taking into account industry best practices, into software development activities.
Own the product roadmap, feature prioritisation and lifecycle management of the AI Studio platform, ensuring alignment with business, customer and digital transformation objectives.
Own the end-to-end product lifecycle from ideation and internal approval processes through testing, deployment, and operational support, with metrics-driven reporting on adoption and business impact
Own the end-to-end product lifecycle from ideation and internal approval processes through testing, deployment, and operational support, with metrics-driven reporting on adoption and business impact
Build and lead a small engineering team, including hiring, onboarding, coaching and developing engineers, setting clear expectations and fostering a culture of ownership, technical excellence and continuous learning.
AI evaluation & compliance guardrails: Build the evaluation loop of business metrics + model metrics + user feedback (accuracy, hallucination rate, adoption, badcase regression sets); set prompt standards and hard-rule guardrails so AI output is traceable and auditable.