People & Culture Intern
Jerry
Workflow Automation Engineer
hyperexponential
full-time
Posted on:
Origin: • 🇬🇧 United Kingdom
Visit company websiteJob Level
Mid-LevelSenior
About the role
- Location: You will be required to work in person from our London office, next to Borough Market 2 days a week. Reporting to: Emma Kelly, Chief Operating Officer At hx, Central Functions power everything from finance and people operations to compliance and risk management. As an AI Automation Engineer, reporting into the Chief Operating Officer, youll build and deploy AI-powered automation systems that eliminate manual inefficiencies, improve data accuracy, and scale our operational capabilities. Partner across Finance, People, Talent, Legal, Risk and Compliance, acting as the builder and integrator of the workflows that keep hx moving fast and focused. Design and maintain automation workflows across Central Functions, buildingand maintaining 15+ production automations within 6 months, achieving 95%+ uptime, and reducing manual processing time by 60% for key operational tasks. Partner with stakeholders in Finance, People, Talent, Legal, Risk and Compliance to identify and automate 25+ repetitive processes within 12 months, delivering measurable efficiency gains. Prototype and deploy LLM-powered workflows and agents (e.g., for onboarding, compliance checks, reporting and document classification) that eliminate manual effort and free teams to focus on strategic work. Research and test emerging AI/automation tools, executing 2–4 quarterly pilot projects with at least 60%+ progressing into production. Build dashboards and reporting systems that surface operational KPIs and highlight quantifiable efficiency improvements worth £200K+ annually. Implement strong governance and documentation for all workflows, ensuring transparency, audit-ability, and compliance with data standards.
Requirements
- Built and scaled production automation workflows using tools like n8n, Zapier, or Make, with measurable uptime and adoption. Developed AI/LLM-powered processes that automated repetitive operational tasks and delivered demonstrable impact e.g. saving teams time, achieving cost savings or delivering measurable quality gains Delivered dashboards and reporting that improved data accuracy and visibility as measured by improvements in data quality and/or reducing reporting time per month or other measurable impact Collaborated with non-technical stakeholders (Finance, Legal, Compliance, etc.) to gather requirements and deliver systems that met business needs. Executed pilot projects with new AI/automation tools and successfully moved a high proportion from pilot into production. Demonstrated hx values by proactively solving problems, showing resilience, and delivering impact beyond core responsibilities.
