AI Modernization Manager

Space Inch

. Investigate legacy applications, scripts, and manual processes to understand their purpose, dependencies, and actual behavior .

Posted 9/18/2026full-timeRemote • Colombia, PeruSeniorLead💰 $4,500 - $5,500 per monthWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in legacy modernization, product management, and systems analysis, with a strong ability to translate business needs into engineering-ready requirements. Proficient in utilizing AI for workflow improvement and capable of collaborating effectively across diverse teams and stakeholders.

Highest-signal resume keywords

Legacy ModernizationProduct ManagementSystems AnalysisApplication ArchitectureAI Workflow Improvement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Legacy ModernizationSystems AnalysisApplication ArchitectureAPI IntegrationDatabase ManagementCloud InfrastructureObservabilityDocumentationRequirements TranslationCode Evaluation

Soft Skills

Excellent CommunicationStakeholder CollaborationProblem-SolvingCritical ThinkingChallenge Assumptions

Tools & Technologies

AI ToolsWindows-Based ApplicationsReporting PlatformsTransaction SystemsHybrid Cloud Infrastructure

Industry Keywords

Product ManagementTechnical DiscoverySoftware DeliveryRelease ManagementOperational Handover

Tech Stack

Tools & technologies

Cloud.NET

About the role

Key responsibilities & impact

Investigate legacy applications, scripts, and manual processes to understand their purpose, dependencies, and actual behavior
Document system behavior and maintain a knowledge base
Decide whether capabilities should be kept, replaced, consolidated, automated, or retired
Create and maintain a prioritized modernization roadmap aligned with business priorities and deadlines
Coordinate initiatives from discovery through release and handover
Collaborate across engineering, QA, Operations, business stakeholders, the managed service provider, and outside partners
Ensure shipped work has requirements, documentation, monitoring, and an accountable owner
Track material risks through resolution
Convert recurring manual work into reusable AI-assisted workflows for discovery, documentation, planning, and risk tracking

Requirements

What you’ll need

7+ years of experience in product management, technical discovery, systems analysis, legacy modernization, or a similar hybrid technical/delivery role, with product management experience required within that mix
Experience with application architecture, APIs, databases, integrations, reporting, scheduled jobs, and cloud and on-prem infrastructure
Ability to investigate unfamiliar, poorly documented systems by reading code, interviewing stakeholders, and reconstructing undocumented context
Ability to translate business and operational needs into engineering-ready requirements and plans, including architecture diagrams, runbooks, and monitoring/support handoff documentation
Understanding of software delivery, release management, observability, support, and operational handover
Excellent written and verbal communication skills across engineering, business stakeholders, and external partners
Readiness to challenge missing information and assumptions
Hands-on experience using AI for investigation, analysis, documentation, or workflow improvement
Ability to read .NET code and architecture to evaluate designs and sanity-check engineering work
Experience with transaction systems or reporting platforms is a bonus
Experience with Windows-based legacy applications and hybrid cloud/on-prem infrastructure is a bonus
Experience working with or managing relationships with a managed service provider is a bonus

Benefits

Comp & perks

Remote-first setup
100% paid sick leave
Annual health checkup
Wellness subsidy
Education budget
Referral bonus
Occasional travel may be required, including annual company retreats