Raed Majid

Leadership Background

Executive background across SaaS modernization, enterprise platforms, data, AI, and engineering operating models.

Executive engineering and technology leadership with experience leading SaaS modernization, enterprise application portfolios, cloud architecture, API integration, AI-enabled product capabilities, data platforms, and engineering operating models.

Known for aligning product, data, customer, security, and executive stakeholders while improving platform scalability, delivery discipline, governance, and business execution.

For recruiters and hiring leaders

Best-fit leadership roles

Best-fit roles

VP Engineering
VP Application Engineering
VP Engineering, AI-EnabledPlatforms
CTO / Head of Technology
Head of Software Engineering
Engineering Director / Senior Director
Platform / SaaS Modernization Leader

Best-fit environments

SaaS modernization
AI-enabled product and engineering delivery
AI platform, automation, and decision-support initiatives
Enterprise application portfolios
Data and platform transformation
Product engineering organizations needing delivery discipline

Vice President of Technology

Razorfish

Enterprise modernization, governance, roadmap alignment, and AI-enabled workflow guidance for a regulated financial services environment.

Senior Architect / Engineering Leadership

Cincom Systems

Legacy platform transformation, multi-tenant cloud modernization, distributed engineering leadership, and AI-assisted engineering practices.

Vice President, Software Engineering

Sun Communities

Enterprise application portfolios, sales and lending platform integration, analytics foundations, predictive models, and acquisition-driven standardization.

Vice President of Technology

Wireless Ronin Technologies

Product engineering, enterprise implementations, and delivery models across web, mobile, field, and digital platform environments.

Initiatives

Selected highlights

Led SaaS and enterprise platform modernization across cloud and product environments.
Built and guided distributed engineering teams across backend, frontend, data, integration, and platform workstreams.
Integrated predictive analytics, scoring, recommendations, QA automation, and LLM-assisted engineering into practical workflows.
Led enterprise platforms supporting sales, reservations, lending, marketing, financial systems, and customer operations.
Operated across SOC2, NIST, PCI, governance, security, and regulated delivery environments.

Credentials

Education and certifications

B.S. Electrical Engineering
Executive Leadership Program, Cornell University
PMI Agile Certified Practitioner
Microsoft Azure AI Engineer Associate
Azure Fundamentals and Azure Data Fundamentals
AWS Cloud Technical Essentials
Deep Learning Specialization
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