Define and execute the AI strategy – in alignment with global and regional priorities.
Collaborate with business stakeholders to ideate and identify high-value AI use cases and opportunities – across both business lines and functions, balancing innovation with trust, governance, and regulatory expectations.
Shape the AI portfolio and contribute to the global AI use case portfolio and capability / product strategy.
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2–3 years of experience in Sales Operations, Client Success, or Account Management (SaaS or App-based environment preferred). Fresh graduates are welcome to apply
Strong command of Excel/Google Sheets (VLOOKUPs, Pivot Tables)
Ability to explain technical processes to non-technical stakeholders clearly and professionally
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Understand real business problems. Work directly with customers to clarify workflows, pain points, success metrics, and operational challenges, then turn ambiguous needs into structured AI use cases and action plans.
Design and deploy AI solutions. Use the WIZ.AI platform to design, configure, test, and launch AI Talkbot solutions, including flows, prompts, rules, logic, escalation paths, test cases, and performance checks.
Use AI tools to move faster and better. Apply AI tools to accelerate requirement analysis, demo preparation, conversation drafting, call data analysis, feedback summarization, issue diagnosis, and optimization ideas.
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The AI Enablement Manager helps enterprise customers turn AI from a product capability into real business outcomes. You will work with customers and internal teams to understand problems, design AI-powered solutions, deploy them in real business environments, measure performance, and continuously improve results with data and AI tools.
This is not a traditional customer success role, and it is not a narrow delivery role. You will operate more like an AI field deployment owner: close to customers, close to product, close to data, and accountable for making AI actually work in the field.
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Own end-to-end outbound operations, ensuring timely order processing, carrier collections, and daily dispatch execution while maintaining service level commitments.
Monitor warehouse dispatch capacity, outbound workflows, and carrier performance, proactively identifying and resolving bottlenecks that may impact fulfilment timelines.
Manage escalated outbound and delivery-related issues, conducting investigations and driving resolutions independently to minimise operational and customer impact.
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The AI Enablement Manager helps enterprise customers turn AI from a product capability into real business outcomes. You will work with customers and internal teams to understand problems, design AI-powered solutions, deploy them in real business environments, measure performance, and continuously improve results with data and AI tools.
This is not a traditional customer success role, and it is not a narrow delivery role. You will operate more like an AI field deployment owner: close to customers, close to product, close to data, and accountable for making AI actually work in the field.
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Operational Support: Manage end-to-end BD operational activities that support Key Account Managers (KAMs) and merchants, including brand tagging, outlet onboarding, menu updates, campaign setup, and other related tasks.
Data Management: Maintain accuracy and consistency across reports, trackers, and system submissions to ensure reliable information flow and data integrity.
Performance Tracking: Update and monitor BD KPI dashboards and performance trackers to support weekly and monthly reporting needs.
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Experience in FinTech, payment systems, loan systems, banking systems, or financial platforms
Experience with:KubernetesPM2Google Cloud Platform (GCP)On-premises server deploymentMicroservices architectureCI/CD and DevOps practicesExperience handling scalable or high-concurrency systemsExperience designing software architectureExperience leading or mentoring developers (optional but highly valued)Ability to explain technical concepts to non-technical stakeholders