📍 Job Overview

Job Title: Presales Engineer (Data Analytics, Cloud, AI, and Application Development)
Company: InnovationTeam
Location: Riyadh, Riyadh Region, Saudi Arabia
Job Type: Full-Time
Category: Technical Sales & Presales
Date Posted: July 21, 2025

🚀 Role Summary

Strategic Solution Design: Collaborate with sales teams to understand client needs and propose tailored technical solutions across data analytics, cloud, AI, and application development domains.
Architecture & Presentation: Design and present technical architectures, deliver product demos, and support RFP/RFI responses.
Market & Technology Awareness: Stay updated on emerging technologies and trends relevant to client focus areas.

📝 Enhancement Note: This role requires a strong technical background combined with exceptional communication skills to bridge the gap between technical and non-technical stakeholders.

💻 Primary Responsibilities

Client Engagement: Collaborate with the sales team to understand client requirements and propose customized solutions.
Solution Architecture: Design and present technical architecture aligned with customer needs and industry best practices.
Demos & PoCs: Deliver technical presentations, product demos, and Proof of Concepts (PoCs) to demonstrate value and capability.
RFP/RFI Support: Support RFP/RFI responses, solution proposals, and pricing estimations.
Stakeholder Communication: Bridge communication between technical and non-technical stakeholders, ensuring everyone is aligned and informed.
Market & Technology Awareness: Stay up-to-date with emerging technologies and market trends relevant to client focus areas.

📝 Enhancement Note: This role involves a significant amount of client interaction and requires excellent presentation skills to effectively communicate complex technical concepts.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field.

Experience: 7+ years of experience in presales, solution engineering, or technical consulting.

Required Skills:

Data Analytics: Familiarity with designing analytical solutions, dashboards, and insights delivery.
AI & Machine Learning: Familiarity with ML workflows, model training/integration.
Cloud Computing: Experience with cloud migration strategies, infrastructure, platform services, and cloud-native application design.
Custom Application Development: Full lifecycle expertise in Java, Web & Mobile application development, and integration with APIs and backend systems.
Strong Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Proposal Writing: Ability to write clear and concise technical proposals and documentation.

Preferred Skills:

Platform Experience: Familiarity with Pega, webMethods, IBM Integration Suite, Google Apigee, or Camunda is advantageous.

📝 Enhancement Note: This role requires a broad range of technical skills, with a strong emphasis on cloud computing and application development. Familiarity with relevant platforms is beneficial but not essential.

📊 Web Portfolio & Project Requirements

Portfolio Essentials: A strong portfolio demonstrating your technical expertise in data analytics, cloud, AI, and application development. Include case studies showcasing your problem-solving skills and ability to deliver tailored solutions.
Technical Documentation: Document your approach to solution architecture, including diagrams, flowcharts, and any relevant code snippets. Highlight your ability to write clear and concise technical documentation.

📝 Enhancement Note: While a traditional web portfolio may not be applicable for this role, a well-structured project portfolio demonstrating your technical capabilities and problem-solving skills is essential.

💵 Compensation & Benefits

Salary Range: SAR 25,000 - 35,000 per month (Estimated based on market research and experience level)

Benefits:

Competitive salary and benefits package
Opportunity to work on strategic digital transformation projects with a leading telecom client
Dynamic work environment with high visibility and impact

Working Hours: Full-time, with flexible hours to accommodate client needs and project deadlines.

📝 Enhancement Note: The salary range is estimated based on market research and experience level. The actual salary may vary depending on the candidate's skills and experience.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology & Consulting

Company Size: Medium (101-500 employees)

Founded: 2015

Team Structure:

Presales & Sales: Collaborative team working closely with delivery teams to understand client needs and propose tailored solutions.
Delivery Teams: Specialized teams focusing on data analytics, cloud, AI, and application development, working together to deliver end-to-end solutions.

Development Methodology:

Agile: Iterative development approach, with regular client feedback and continuous improvement.
Collaboration: Cross-functional collaboration between presales, delivery teams, and stakeholders to ensure alignment and successful project delivery.

Company Website: www.innovationteam.com

📝 Enhancement Note: InnovationTeam's culture emphasizes collaboration, innovation, and client focus, making it an ideal environment for a strong technical presales engineer.

📈 Career & Growth Analysis

Web Technology Career Level: This role is suitable for an experienced presales engineer looking to grow their career in technical sales and solution architecture.

Reporting Structure: This role reports directly to the Head of Presales and collaborates closely with sales and delivery teams.

Technical Impact: The presales engineer will have a significant impact on client solutions, influencing the technical direction and ensuring client needs are met.

Growth Opportunities:

Technical Leadership: Grow into a senior presales role, mentoring junior team members and driving technical strategy.
Client Management: Develop strong client relationships and become a trusted advisor, driving repeat business and client satisfaction.
Solution Specialization: Deepen expertise in one or more focus areas, becoming a subject matter expert and driving innovation in that domain.

📝 Enhancement Note: This role offers significant growth potential, with opportunities to develop technical leadership, client management, and solution specialization skills.

🌐 Work Environment

Office Type: Modern, collaborative office space with dedicated areas for client meetings and team collaboration.

Office Location(s): Riyadh, Saudi Arabia

Workspace Context:

Collaboration: Open-plan workspace encouraging interaction and collaboration between team members.
Client Interaction: Dedicated client meeting spaces and video conferencing facilities for remote client interactions.
Flexibility: Flexible work arrangements to accommodate client needs and project deadlines.

Work Schedule: Full-time, with flexible hours to accommodate client needs and project deadlines.

📝 Enhancement Note: The work environment at InnovationTeam is designed to foster collaboration and client focus, with flexible work arrangements to support project needs.

📄 Application & Technical Interview Process

Interview Process:

Phone/Video Screen: A brief call to discuss your experience, skills, and career goals.
Technical Deep Dive: A detailed discussion of your technical expertise in data analytics, cloud, AI, and application development.
Client Simulation: A mock client engagement, where you'll propose a solution and present it to the interview panel.
Final Interview: A discussion with the hiring manager to assess cultural fit and answer any remaining questions.

Portfolio Review Tips:

Case Studies: Prepare case studies demonstrating your problem-solving skills and ability to deliver tailored solutions.
Technical Documentation: Bring examples of your technical documentation, highlighting your ability to write clear and concise proposals.
Platform Experience: If you have experience with relevant platforms, prepare examples showcasing your expertise.

Technical Challenge Preparation:

Solution Architecture: Brush up on your solution architecture skills, focusing on data analytics, cloud, AI, and application development domains.
Client Engagement: Practice your client engagement skills, ensuring you can clearly and effectively communicate complex technical concepts to non-technical stakeholders.

ATS Keywords: (See the comprehensive list at the end of this document)

📝 Enhancement Note: The interview process for this role is designed to assess your technical expertise, solution architecture skills, and client engagement abilities. Be prepared to demonstrate your problem-solving skills and ability to deliver tailored solutions.

🛠 Technology Stack & Web Infrastructure

Data Analytics Tools:

Tableau
Power BI
QlikView
SQL Server

Cloud Platforms:

AWS
Azure
Google Cloud Platform

AI & Machine Learning Platforms:

TensorFlow
PyTorch
AWS SageMaker
Azure Machine Learning

Application Development Tools:

Java
Spring Framework
Hibernate
JPA
Web & Mobile Development: React, Angular, Vue.js, iOS (Swift), Android (Kotlin/Java)

Integration & API Management:

Pega (BPM & case management solutions)
webMethods
IBM Integration Suite
Google Apigee
Camunda (workflow and process automation)

📝 Enhancement Note: Familiarity with the listed tools and platforms is beneficial but not essential. The key requirement is a strong technical background and the ability to quickly learn and adapt to new technologies.

👥 Team Culture & Values

Web Development Values:

Client Focus: Prioritize client needs and deliver tailored solutions that meet their unique requirements.
Innovation: Embrace emerging technologies and trends, driving innovation in data analytics, cloud, AI, and application development domains.
Collaboration: Work closely with sales and delivery teams to ensure alignment and successful project delivery.
Continuous Learning: Stay updated on market trends and emerging technologies, continuously expanding your technical skillset.

Collaboration Style:

Cross-Functional: Collaborate with sales, delivery, and other teams to ensure alignment and successful project delivery.
Client-Centric: Focus on client needs and priorities, ensuring their unique requirements are met.
Knowledge Sharing: Share your technical expertise with team members, fostering a culture of continuous learning and growth.

📝 Enhancement Note: InnovationTeam's culture emphasizes client focus, innovation, and collaboration, making it an ideal environment for a strong technical presales engineer.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Emerging Technologies: Stay updated on emerging technologies and trends in data analytics, cloud, AI, and application development domains.
Client Requirements: Understand and interpret complex client requirements, designing tailored technical solutions that meet their unique needs.
Solution Architecture: Design and present technical architectures that are scalable, secure, and aligned with industry best practices.

Learning & Development Opportunities:

Technical Training: Participate in relevant training and certification programs to expand your technical skillset.
Conferences & Events: Attend industry conferences and events to stay updated on market trends and emerging technologies.
Mentoring: Seek mentorship opportunities from senior team members to develop your technical and client engagement skills.

📝 Enhancement Note: This role presents significant technical challenges and learning opportunities, with the potential for substantial growth and development.

💡 Interview Preparation

Technical Questions:

Data Analytics: Prepare for questions on data analytics tools, methodologies, and best practices.
Cloud Computing: Brush up on your cloud migration strategies, infrastructure, platform services, and cloud-native application design knowledge.
AI & Machine Learning: Familiarize yourself with ML workflows, model training/integration, and relevant tools and platforms.
Application Development: Prepare for questions on Java, Web & Mobile application development, and API integration.

Company & Culture Questions:

Client Engagement: Prepare for questions on your client engagement experience and approach to understanding and interpreting client requirements.
Solution Architecture: Brush up on your solution architecture skills and be prepared to discuss your approach to designing technical solutions.
Market Awareness: Stay updated on emerging technologies and trends in data analytics, cloud, AI, and application development domains.

Portfolio Presentation Strategy:

Case Studies: Prepare case studies demonstrating your problem-solving skills and ability to deliver tailored solutions.
Technical Documentation: Bring examples of your technical documentation, highlighting your ability to write clear and concise proposals.
Platform Experience: If you have experience with relevant platforms, prepare examples showcasing your expertise.

📝 Enhancement Note: The interview process for this role is designed to assess your technical expertise, solution architecture skills, and client engagement abilities. Be prepared to demonstrate your problem-solving skills and ability to deliver tailored solutions.

📌 Application Steps

To apply for this Presales Engineer position:

Resume Tailoring: Tailor your resume to highlight your relevant technical skills and experience in data analytics, cloud, AI, and application development domains.
Portfolio Preparation: Prepare a strong portfolio demonstrating your technical expertise and problem-solving skills, with a focus on case studies and technical documentation.
Interview Preparation: Brush up on your technical skills and prepare for client engagement, solution architecture, and market awareness questions.
Company Research: Research InnovationTeam's culture, values, and focus areas to ensure a strong cultural fit and alignment with your career goals.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

ATS Keywords:

Programming Languages:

Java
SQL
Python
R
JavaScript
Swift
Kotlin

Web Frameworks:

Spring Framework
Hibernate
JPA
React
Angular
Vue.js

Cloud Platforms:

AWS
Azure
Google Cloud Platform

AI & Machine Learning Platforms:

TensorFlow
PyTorch
AWS SageMaker
Azure Machine Learning

Integration & API Management:

Pega
webMethods
IBM Integration Suite
Google Apigee
Camunda

Data Analytics Tools:

Tableau
Power BI
QlikView
SQL Server

Databases:

MySQL
PostgreSQL
MongoDB
Cassandra

Version Control:

Git
SVN
Mercurial

Methodologies & Soft Skills:

Agile
Scrum
Kanban
Client Engagement
Solution Architecture
Technical Writing
Presentation Skills
Problem-Solving
Innovation
Collaboration

Industry Terms:

Data Analytics
Cloud Computing
AI & Machine Learning
Application Development
Integration
API Management
BPM
Case Management
Workflow Automation
Digital Transformation
Technical Sales
Presales Engineering

Presales Engineer ( Data analytics, cloud, AI, and application development )