AI Modernization Manager - LATAM

About this role

We're seeking an AI Modernization Manager to join us at Space Inch . You'll be embedded with one of our longtime clients - a fast-growing platform in the payments and commerce space serving thousands of merchants across physical and digital gift card programs. As the client has scaled, critical business logic has grown outside their core platform: undocumented legacy applications, scripts, and manual processes that keep the business running but that aren’t documentation. This role owns discovery, planning, and coordination for the resulting modernization program, turning that hidden estate into a roadmap engineering can build against. AI is expected to be a big part of how you work day to day, not just for individual tasks but to build workflows the wider team can reuse for discovery, documentation, planning, and risk tracking. Our Mission, Vision, and Values At Space Inch , we prioritize alignment with our clients and team, ensuring a deep understanding of their needs. We are committed to delivering exceptional work while supporting the personal and professional growth of our team members. Working at Space Inch Our team is around 80+ people, primarily based in Croatia, but also members in the rest of the Europe, South America, and the US; the product team mostly being in the US, and engineering in Croatia and Brazil We are remote-first, but occasional travel may be required, e.g. for annual company retreats We work on end-to-end projects with a long-term vision We strongly support work-life balance for our team members, even though we work in different time zones Requirements 7+ years of experience in product management, technical discovery, systems analysis, legacy modernization, or similar hybrid technical/delivery role - with product management experience a must-have within that mix Experience with application architecture, APIs, databases, integrations, reporting, scheduled jobs, and both cloud and on-prem infrastructure Proven ability to dig into an unfamiliar, poorly documented system - reading code, interviewing stakeholders, and reconstructing context that was never written down, without waiting for someone to hand you a process Ability to turn business and operational needs into requirements and plans that engineering can build against (i.e. architecture diagrams, runbooks, and monitoring/support handoff documentation) Understanding of the software delivery, release management, observability, support, and operational handover well enough to hold engineering accountable to it Excellent written and verbal communication skills, with experience operating at the intersection of engineering teams, business stakeholders, and external partners Readiness to push on missing information or challenging assumptions Hands-on experience using AI for investigation, analysis, documentation, or workflow improvement - not just familiarity with the idea Ability to read .NET code and architecture to evaluate designs, ask sharp questions, and sanity-check what engineering delivers, even though you won't be writing production code in this role Bonus points Experience with transaction systems or reporting platforms Experience with Windows-based legacy applications and hybrid (cloud + on-prem) infrastructure Experience working with or managing relationships with a managed service provider (MSP) What You'll Do Technical and business discovery: Investigate legacy applications, scripts, and manual processes to understand what they do, why they exist, and what depends on them. Document how these systems actually behave and maintain a knowledge base. Modernization planning : Decide whether each capability should be kept, replaced, consolidated, automated, or retired, and turn that into a prioritized roadmap. Keep the roadmap current against real business priorities and deadlines. Delivery and stakeholder coordination: Coordinate initiatives from discovery through release and handover. Work across engineering, QA, Operations, business stakeholders

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