AI Automation Builder, Multiverse

• This role is ideal for a highly effective builder who thrives in fast-paced environments and can drive change through influence, project delivery, and speed to execution, ultimately enabling our team to better serve our learners and clients
• A track record of shipping multi-step automations in a SaaS environment using no-code platforms (e.g., Zapier, Make, n8n)
• A solid grasp of REST APIs, webhooks, and JSON payloads
• Advanced prompt engineering skills for getting reliable, structured outputs from LLMs
• Experience integrating various AI models and tools into automated workflows
• Strong stakeholder communication and rapid requirements gathering
• Exceptional organizational and time management skills, with a proven ability to manage multiple priorities and adapt to a fast-paced environment with shifting goals
• Strong analytical skills with experience handling and interpreting data to measure the impact of automation initiatives
• Resilience and a growth mindset, with the ability to navigate challenges and learn quickly

Desirable

• As part of our AI Transformation team and play a key role in executing our strategic vision to become an AI-first organization in our daily operations
• Your primary responsibility will be to coordinate and deliver high-impact initiatives, deploying automations and AI agents across key workflows
• This is an individual contributor role reporting into the Head of AI Transformation You’ll work alongside a team of 2 AI Transformation Leads with a specific focus on our Operations organization
• Every three weeks, you’ll be briefed on a new fully-scoped sprint to build an automation or agent that utilises AI tools. You’ll translate the commercial sprint brief into technical next steps
• Select the best no-code/low-code platforms, connectors, and authentication methods for the job, subject to those available within our authorised tech stack
• Build and iterate on automations in a non-production environment before migrating to production
• Integrate and leverage LLMs via APIs to perform complex tasks within the automated workflows
• Implement our naming, versioning, and logging standards to ensure proper governance
• Validate GDPR and data-security requirements with our InfoSec partner
• Run a 60-minute enablement session for stakeholders
• Document ROI assumptions and identify potential next steps for future projects
• Key Outcomes (per 3-week sprint)
• Process Mapping - For a given project, capture the trigger-action flow, confirm data fields, and define success metrics for an AI-enhanced workflow
• AI Automation Build - Deliver a robust, multi-step automation using platforms like Zapier, n8n, or others. This will include error handling, branching logic, and the integration of LLMs for tasks like data extraction, summarization, and content generation
• Testing & Hardening - Run end-to-end tests, set up retry policies, and pipe alerts to Slack to ensure reliability
• Governance - Work in partnership with an AI Transformation Lead to ensure all work is compliant with internal data, legal and product policies
• Handover - Create a concise runbook, record a Loom walkthrough and brief an internal "Process Owner" for future maintenance