AI & IT Infrastructure Engineer at Improvado

, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

18 Jul, 26

Salary

0.0

Posted On

19 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, JavaScript, IT Infrastructure, SaaS Management, AI Automation, LLM-based workflows, n8n, Make, Google Workspace, Jira, Notion, Identity and Access Management, SSO, RBAC, SOC 2, API Integration

Industry

Software Development

Description

Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role We're looking for a technically curious IT professional who is genuinely excited about AI — not just as a buzzword, but as a day-to-day working tool. This is a hybrid role: part IT engineer, part developer, part AI automation builder. You'll own the administration and reliability of our internal systems while also writing code, building integrations, and shipping agentic workflows that reduce manual work across the organisation. The ideal candidate is either a developer who has moved into IT, or an IT engineer with solid coding skills — someone comfortable context-switching between infrastructure, automation scripting, and hands-on AI tooling. Personal projects and self-taught experience count just as much as formal work history — we care about what you've built and how fast you learn, not just where you worked. You'll be working closely with engineering and operations. If you thrive in async-first, international environments and love being the person who makes everyone else's work easier — this is for you. A Note on Pace We're an AI-native team, and we expect AI-native output velocity. Tasks that would have taken a week in 2022 should take hours today — and we mean that literally. We use Claude, Cursor, and whatever else gets the job done. We don't measure how long something took; we measure whether it shipped, works, and is maintainable. If you're still working the way you worked two years ago, this role will be frustrating for both of us. If you've already rewired how you work around AI tooling — you'll feel right at home. Key Responsibilities AI & Automation Engineering - Design, build, and maintain AI-powered internal workflows to reduce manual work across departments — using tools like n8n, Make, or LLM-based agents as appropriate - Implement and maintain MCP (Model Context Protocol) integrations to connect internal tooling and data sources - Write and own automation scripts and integrations in Python and/or JavaScript; treat code readability and maintainability as a first-class concern - Prototype agentic systems that solve real team pain points; iterate based on feedback — fast IT Infrastructure & SaaS Stack - Own the administration and optimisation of our core SaaS stack: Google Workspace, Jira, Notion, and related platforms - Manage identity and access controls, SSO, and RBAC across the organisation - Maintain system reliability, handle incidents, and support day-to-day IT operations - Apply security hygiene across the stack — access reviews, offboarding, audit logging, SOC 2-aligned controls Delivery & Project Management - Take ownership of workstreams end-to-end: scope, prioritise, deliver, and communicate progress without needing to be chased - Operate at AI-era velocity — tasks are measured in hours, not weeks; use every tool available to get there - Document systems, processes, and integrations clearly for async consumption by the wider team - Engage proactively with stakeholders to understand tooling needs and translate them into structured delivery What We're Looking For Must have - Coding ability in Python and/or JavaScript — you can write and maintain automation scripts, read unfamiliar codebases, and ship working integrations - Solid foundation in IT: systems administration, SaaS management, APIs, identity and access controls - Hands-on curiosity about AI tools and LLM-based workflows — personal or open-source projects absolutely count - High ownership mindset: you manage your workstreams, flag blockers early, and don't wait to be chased - Familiarity with Google Workspace, Jira, Notion, Make, n8n - Awareness of InfoSec basics: SSO, RBAC, SOC 2 concepts, and general security hygiene - Available to overlap with US business hours (EST/PST) for key meetings and async communication - Strong written English — you communicate clearly, document well, and don't wait to be asked - Comfortable working independently in a remote, async-first environment Nice to have - Experience with LangChain, CrewAI, Cursor AI, or similar agentic frameworks - Familiarity with MCP (Model Context Protocol) integrations - Experience working with Claude and the Anthropic API - Background in both software development and IT/infrastructure — the blend is a strong differentiator - Previous remote work in international teams - Open-source contributions or personal AI/automation projects you can share We don't expect you to have used every tool listed. We care more about your learning velocity and ownership mindset than your current stack. Why Join Us - Work at the intersection of AI and internal product — your tools get used every day by your teammates - High autonomy and ownership — we care about outcomes, not hours - Real opportunity to grow into AI engineering: you'll be shipping agentic systems from day one, with a team that will invest in your development - Collaborative, no-bureaucracy culture with a technically strong, international team - 20 working days of PTO per year - US holidays and additional days off

Responsibilities

You will design and maintain AI-powered internal workflows to automate manual tasks while managing the company's core SaaS infrastructure. This involves writing automation scripts, handling system reliability, and ensuring security compliance across the organization.