Intern (Technical Internship) | Software, Analytics & AI for Property Management Operations

RealPage Philippines; Manila; Hybrid; PHP 167,000 - 257,000; Full time

Benefits offered by this job

Mentorship program

Job summary

RealPage Philippines is seeking a motivated intern to work under a mentor and business owner to define problems, analyze data, and design technical solutions. You will build scripts, dashboards, and AI-assisted prototypes while ensuring traceability through proper version control.

The role emphasizes collaboration with multiple teams, learning to validate results, and delivering testable outcomes within a hybrid schedule aligned with internship milestones.

Qualifications

• Foundational programming or automation experience through coursework or projects.
• Basic understanding of SQL, data handling, APIs, and version control.
• Demonstrable portfolio or projects via GitHub, dashboards, or demos.
• Ability to work in a hybrid schedule with mentor guidance.

Responsibilities

• Collaborate with mentor to define problem statements, users, scope, and success criteria.
• Analyze data, workflows, and performance metrics to understand business problems.
• Design and develop testable technical solutions using programming, automation, or AI tools.
• Create scripts, dashboards, validation routines, or AI-assisted prototypes under supervision.
• Maintain documentation, version control, and change notes for traceability.
• Develop test cases and validate functionality, data quality, and user behavior.
• For AI work, design prompts and ensure human review before decisions.
• Communicate progress, blockers, and decisions to stakeholders during reviews.

Skills

Problem decomposition

Clear communication

Iterative testing

Data-driven reasoning

Education

Currently enrolled in CS/IT related program

Tools

Python

JavaScript

.NET

Power Automate

Git

SQL

Power BI

Job description

Your Role

Key responsibilities include:

• Collaborate with a mentor and business owner to define problem statements, users, processes, pain points, project scope, and success criteria.
• Analyze approved data, workflows, documentation, support cases, and performance metrics to understand business problems.
• Design and develop testable technical solutions using programming, automation, analytics, AI, API, or testing tools.
• Create and iterate scripts, workflows, dashboards, data-validation routines, QA aids, content tools, integrations, or AI-assisted prototypes under mentor supervision.
• Maintain traceability and maintainability through version control, naming conventions, structured files, comments, and change notes.
• Develop test cases and validate functionality, accuracy, error handling, data quality, and user behavior before broader use.
• For AI-assisted work, design prompts, validate outputs, identify risks, and ensure human approval for decisions or published content.
• Use only approved tools, accounts, devices, and data environments while protecting confidential information.
• Collaborate with support, knowledge, product, engineering, quality, training, data, operations, information security, and other technical teams as assigned.
• Document solution architecture, data inputs, operating steps, user guides, test results, limitations, support boundaries, and rollback or escalation paths.
• Communicate progress, blockers, risks, scope changes, and technical decisions clearly to technical and non-technical stakeholders during mentor reviews.
• Measure prototypes against outcomes such as time saved, fewer errors, improved search success, reduced repetitive work, better resolution quality, or increased adoption.
• Prepare final demos and handoff packages, train owners, and confirm maintenance or retirement plans post-internship.
• Refrain from deploying changes to production or automating high-risk decisions without required approvals and controls.

About You

The company is looking for candidates who meet the following qualifications:

• Currently enrolled in computer science, IT, information systems, computer engineering, software engineering, data science, AI, business analytics, applied mathematics, statistics, information management, library and information science, or related programs.
• Demonstrable technical skills through coursework, projects, GitHub repositories, automation demos, dashboards, hackathons, research, technical articles, or equivalent portfolios.
• Foundational programming or automation experience in Python, JavaScript, .NET, Power Automate, or equivalent platforms.
• Basic understanding of SQL, structured data, CSV/Excel handling, APIs, Git/version control, and data validation.
• Exposure to Power BI, test automation, workflow automation, AI/LLM tools, prompt design, retrieval concepts, or cloud platforms is advantageous.
• Ability to decompose problems, test assumptions, debug methodically, and document evidence-based conclusions.
• Clear communication skills to explain technical concepts, trade-offs, limitations, and user instructions to non-technical stakeholders.
• Responsible approach to privacy, security, intellectual property, access controls, and human review when using data, code, or AI tools.
• Ability to receive feedback and revise work through short, testable iterations.
• Capability to comply with hybrid schedules, project milestones, mentor meetings, approved technology stacks, and internship hour limits.