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.
WHAT YOU WILL DO
- 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.
- Own the loop from launch to value. Monitor performance after go-live, identify issues, collect feedback, and improve the solution until customers see measurable value in adoption, experience, efficiency, or business outcomes.
- Work across teams to solve problems. Collaborate with Product, Engineering, Operations, Sales, Support, and Customer Success teams to unblock issues and improve outcomes.
- Discover the next AI opportunity. As you learn the customer business, proactively identify where AI can create more value through optimization, new use cases, renewal, or expansion.
YOU may be a strong fit if you have:
- Curious about AI, enterprise software, automation, or digital transformation
- Clear communicator with customers and internal teams
- Ownership: care about outcomes, not just tasks
- Self-driven when the path is unclear
- Fast learner, adaptable, and comfortable with ambiguity
Nice to have, but not required:
- Projects or internships in consulting, SaaS, customer success, project management, business analysis, software testing, or AI-related work
- Use of AI tools for research, analysis, coding, workflow automation, or project work
- Basics of LLMs, NLP, prompt engineering, conversation design, UX, flowcharts, or system logic
- Excel, SQL, Python, or basic data analysis
WHAT YOU WILL GAIN
- Build AI-native problem-solving habits: use AI tools to improve speed, quality, analysis, and execution.
- Develop customer-facing capability: communicate with enterprise stakeholders and turn business problems into practical solutions.
- Grow into broader paths: AI solution consulting, field deployment, customer success leadership, product operations, business operations, or AI transformation.
WHY JOIN US
Many graduate roles give you a small task in a large process. This role gives you the full loop: diagnose problems, build AI-powered solutions, launch them, measure impact, and keep improving until customers see value.
If you want to grow fast, work close to real business, and become an AI-native problem solver, this is a role where you can start building that capability from day one.
Only selected candidates that will be contacted.