Solutions Engineer

WebEngage; Saudi Arabia; On-site; SAR 120,000 - 220,000; Full time

Job summary

WebEngage is seeking a Solutions Engineer in Saudi Arabia to bridge customer needs and the WebEngage platform. You will collaborate with Sales, Marketing, Product and Engineering to design tailored solutions and demonstrate business impact.

The role requires fluency in Arabic and English, strong technical storytelling, and hands-on experience with CDPs, APIs, SDKs, data pipelines, and cloud integration.

Qualifications

• 5+ years in Pre-Sales, Solutions Engineering, or Technical Consulting (SaaS/MarTech/CDP/Analytics).
• Deep understanding of CDPs, data architecture, and integration via APIs/SDKs/pipelines.
• Basic knowledge of AI concepts including LLMs, predictive analytics, and data science basics.
• Translate technical capabilities into business value for technical and executive audiences.
• Hands-on familiarity with marketing automation, analytics, and CRM ecosystems.
• Experience with cloud platforms, data integration, and web/mobile SDKs.
• Excellent presentation, communication, and documentation skills.
• Strong problem-solving and cross-functional collaboration.
• Bachelor's degree in Computer Science, Engineering, or related field.

Responsibilities

• Lead technical discovery sessions to align challenges with WebEngage platform capabilities.
• Deliver product demonstrations for technical and business stakeholders.
• Execute POCs to validate integration performance and outcomes.
• Prepare detailed technical and functional documentation with Product/Engineering.
• Collaborate across teams to identify TALs and support GTM efforts.
• Engage IT/marketing/business teams to align on architecture and data flows.
• Develop demo assets and training resources to accelerate deals.
• Provide feedback on customer needs and competitive insights.
• Contribute to go-to-market initiatives as a technical expert and brand advocate.

Skills

Pre-Sales

Solutions Engineering

Technical Consulting

SaaS

MarTech

CDP

Analytics

AI Concepts

LLMs

Data Integration

Cloud Platforms

Marketing Automation

CRM Ecosystems

Presentation Skills

Data Architecture

Data Pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

APIs

SDKs

Cloud platforms

Job description

As a Solutions Engineer you ll serve as the technical bridge between customer needs and WebEngage s platform capabilities You will collaborate closely with Sales Business Development Marketing and Product teams to understand customer requirements design tailored solutions and demonstrate how WebEngage drives business impact This role demands a strong mix of technical expertise consultative problem solving and storytelling with the ability to engage confidently across technical marketing and executive audiences

Key Responsibilities

• Lead technical discovery and solutioning sessions with prospects to understand business challenges and align them with WebEngage s platform capabilities
• Deliver impactful product demonstrations and presentations tailored to both technical and business stakeholders
• Execute Proofs of Concept POCs to validate integration performance and measurable outcomes
• Respond to RFPs RFIs and prepare detailed technical and functional documentation in collaboration with Product and Engineering teams
• Collaborate across departments Business Development Marketing and Market Research to identify qualify and support the creation of Target Account Lists TALs
• Engage effectively with IT marketing and business teams to align on solution architecture data flows and implementation strategy
• Support Sales and Partner Enablement by developing demo assets training sessions and knowledge resources to accelerate deal cycles
• Provide structured feedback to internal teams on customer needs product improvements and competitive insights
• Contribute to go-to-market initiatives such as events webinars and regional workshops as a technical expert and brand advocate

Fluency in Arabic and English (spoken and written) is mandatory.

Qualifications

• 5+ years of experience in Pre-Sales, Solutions Engineering, or Technical Consulting, preferably in SaaS, MarTech, CDP, or Analytics.
• Strong understanding of Customer Data Platforms (CDPs), data architecture, and integration frameworks (APIs, SDKs, data pipelines).
• Basic knowledge of AI concepts, including Large Language Models (LLMs), predictive analytics, and basic data science principles.
• Ability to translate technical capabilities into business value and communicate effectively with technical and executive stakeholders.
• Hands-on familiarity with marketing automation, analytics, and CRM ecosystems.
• Experience with cloud platforms, data integration, and web/mobile SDKs.
• Excellent presentation, communication, and documentation skills.
• Strong problem-solving abilities and a collaborative, cross-functional mindset.
• Bachelor s degree in Computer Science, Engineering, or related technical field.