AI Operations and Automation Engineer

About Matific

Matific is a fast-growing, AI-first global EdTech company delivering a world-class, research-driven mathematics learning platform for schools. Used by millions of students, teachers and families in over 70 countries, Matific empowers learners through interactive, adaptive and pedagogically rigorous digital experiences.

Recognised internationally for excellence, Matific has received top industry honours including the  GESS, Global Edtech Prize, CODiEs, Academics' Choice, and EdTech Digest awards.

With over $50M USD invested and a global team of 200+ employees, Matific operates as a modern SaaS organisation – leveraging AI, data, and adaptive learning technology to help schools and ministries improve outcomes at scale. Our mission is to deliver equitable access to high-quality mathematics education and to support meaningful systemic improvement worldwide.

The Role

This is a builder role, not a strategy role. We are looking for a technically strong and hands-on AI Solutions and Operations Engineer to help transform how Matific’s non R&D teams operate. This is not a general operations role and it is not limited to using off the shelf AI tools. You will design, build, test, deploy, and maintain AI powered workflows and internal systems across Sales, Customer Success, Support, Marketing, Finance, HR, and Operations. 

You will be expected to understand how a process works, identify the problem, design a practical solution, build it, implement it, measure the results, and ensure the team adopts it. Solutions may include automating workflows, connecting business systems, creating internal AI assistants, improving data visibility, introducing smarter reporting, or configuring existing platforms to work more effectively.

You will report directly to the CEO, giving you the mandate to work across the company and engage with any relevant team. You will be accountable for measurable business outcomes, not simply the number of projects completed.

Key Responsibilties

• Work across multiple teams in parallel (sales, CS, marketing, finance, HR), understanding their workflows and finding where time can be reclaimed.
• Build and implement solutions using platforms such as Zapier, Make, n8n, Power Automate, or similar tools.
• Configure and deploy AI capabilities within existing business platforms such as Salesforce, Intercom, Notion, Google Workspace, Microsoft 365, or other internal systems. 
• Quantify impact. Every project ships with a before and after: hours saved, error rate reduced, cycle time cut, or cost avoided. If you can't measure it, we don't count it.
• Write the playbook. Document what you build so the team can run it without you, and so the next project gets faster.
• Champion adoption. A working automation no one uses is worthless. You'll train, troubleshoot and follow up until it sticks.
• Work with our global offices. Our teams sit across multiple time zones, so expect a few early starts and later evenings each week to collaborate live with colleagues overseas.
  
  

What Success Looks Like

• First 90 days: Build and launch two or three practical AI or automation solutions with measurable business impact. Develop a clear map of AI, automation, and data opportunities across the business. Rank opportunities based on expected impact, implementation effort, risk, and return on investment.
• First 180 days: Meaningful, measurable reduction in manual work across at least four functions. A backlog of improvements running on a predictable cadence. Other people in the business starting to bring you their problems unprompted.
  

• 2+ years in an ops, business systems, RevOps, or transformation role where you personally built things rather than spec'd them for someone else to build.
• Comfortable in SQL or spreadsheets at an advanced level. Enough to pull data, quantify a problem, and prove the fix worked.
• Practical experience with at least two automation platforms, such as Zapier, Make, n8n, Workato, or Power Automate.
• Hands-on experience using modern AI tools in real workflows. Examples include deploying Claude Projects or Gems for a team, building a RAG-style internal search, or configuring AI features inside platforms like Salesforce, Zendesk, or Notion.
• Track record of running vendor selection and implementation end-to-end.
• Ability to engage with a team, earn trust quickly, and ship something useful within weeks.
  

Nice to have:

• Experience working in a SaaS, EdTech, or global technology company.
• Light coding ability in Python or JavaScript for cases no-code can't handle.
• Background working with finance or sales systems specifically (NetSuite, Salesforce, Pardot, HubSpot).
• Experience working with security, privacy, and compliance requirements, such as GDPR, ISO 27001, SOC 2, COPPA, FERPA, data retention, access controls, vendor risk assessments, and responsible AI governance.
  

You'll probably struggle here if:

• You prefer writing strategy decks to shipping working systems.
• You are comfortable recommending improvements but do not want to implement them yourself.
• "AI" to you means ChatGPT, and you haven't yet built anything production-ready with it.
• You're allergic to measuring your own work.
  

What This Role Is Not

• It's not a Chief of Staff role. You won't run the CEO's calendar or sit in every exec meeting.
• It's not a data analyst role. You'll use data, but the deliverable is a working system, not a dashboard.
• It’s not a people management role. Success depends on your ability to influence, collaborate, and deliver directly.
  

• A business with a strong purpose to provide quality education to children globally
• A fast-paced environment, fast-growing SaaS company
• Work with ministries of education, leading high-profile global publishers and partners
• Work closely alongside seasoned, successful entrepreneurs 
• Opportunity to innovate and challenge the status quo
• Great remuneration package with significant upside potential