Deploy prototypes to real users (initially internal, then external) and incorporate feedback into subsequent iterations.
Utilize AI coding tools (Claude Code, Codex, Gemini, etc.) effectively as part of your development workflow, discerning when they enhance or hinder productivity.
Participate in quarterly retrospectives to share insights on experiments, learnings, and evolving assumptions.
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Provide technical and product leadership across the end-to-end AI lifecycle, from research, experimentation and prototyping through production deployment, monitoring and continuous improvement.
Ensure AI solutions are scalable, secure, reliable and fit for purpose, balancing technological innovation with user needs, operational requirements, governance standards and organisational roadmaps.
Establish best practices in AI engineering, model evaluation, Responsible AI, MLOps and AI product delivery to ensure high-quality, trusted and sustainable AI systems.
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End-to-end understanding of implementing an AI/ML project, starting from problem formulation and data acquisition to model deployment, monitoring, and user feedback.
Bachelor's degree in Computer Science, Machine Learning, AI, or a related quantitative field.
Strong understanding of computing, machine learning and deep learning algorithms.
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Build dashboards and tools to enhance decision-making and reporting.
Engage stakeholders to ensure solutions meet business requirements.
Undergraduate currently in Year 2 or Year 3, pursuing a degree in Business Artificial Intelligence Systems, Data Analytics, Information Systems, Computer Science, Computer Engineering, Industrial & Systems Engineering, Information Engineering & Media, or a related discipline
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Develop a deep understanding of APJ market dynamics, customer workflows, and EPM value propositions to improve customer intimacy, conversion, and competitive positioning.
Represent APJ as the commercial voice for monthly/quarterly business reviews, AOP planning, and strategic planning cycles.
In partnership with sub-regions, own Bookings, Revenue, and Opex forecasting and ensure execution to plan; drive corrective actions where performance gaps emerge.
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Provide technical and product leadership across the end-to-end AI lifecycle, from research, experimentation and prototyping through production deployment, monitoring and continuous improvement.
Ensure AI solutions are scalable, secure, reliable and fit for purpose, balancing technological innovation with user needs, operational requirements, governance standards and organisational roadmaps.
Establish best practices in AI engineering, model evaluation, Responsible AI, MLOps and AI product delivery to ensure high-quality, trusted and sustainable AI systems.
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Cross-functional project and stakeholder management. Lead and coordinate academic, operational, outreach, compliance, grantor, and partner-facing workstreams to align teams around shared milestones, manage dependencies and risks, resolve issues, and deliver the agreed outcomes.
Learner journey and programme operations. Oversee key learner-facing processes, including programme communications, onboarding, schedules, platforms, systems, facilities, attendance, learner progress tracking, and administrative support.
Outreach and learner recruitment. Coordinate outreach and learner recruitment efforts with marketing, admissions, academic leads, industry partners, and other stakeholders, including information sessions, events, lead follow-up, applicant communications, and conversion tracking, to support achievement of programme enrolment targets.
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As the business scales, you will partner with leadership to codify our sales playbook and hire the team required to expand our footprint. This is a unique opportunity to sell a "new category" product—AI-native recruitment—as both a professional service and a SaaS solution.
Drive New Business as a Lead Hunter: Take full ownership of the sales cycle from cold start to close. You will personally prospect, navigate HR buying committees, and land new customers, building momentum for a growing brand.
Position AI as a Strategic Multiplier: Effectively communicate the value of AI-augmented recruitment to HR leaders and decision-makers, overcoming skepticism and positioning our agents as a force multiplier for their internal efficiency.
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