Senior Presales Solutions Engineer

Incorta is a next-generation data analytics and business intelligence platform that excels at rapidly delivering business value from transactional data, this is the first real breakthrough in data analytics in 20 years. We provide an integrated end-to-end data experience, from data acquisition and enrichment to visualizing and sharing results. Our platform cuts project implementation time from months to weeks provides revolutionary query speed and maintains a unified, single source of truth for multiple workloads including business intelligence, analytics, and machine learning. Fully 90% of companies that try Incorta become customers, and over 98% of our customers are still with us. Our cloud-based service widens our reach into businesses of all sizes. There is simply no other analytics solution that is as cost-effective, agile, and impactful.

We are seeking a talented Presales Solutions Engineer to join our growing team in Saudi Arabia

Arabia. The ideal candidate will have a strong background in Data Analytics, Data Management,

and Data Engineering, with proven experience supporting enterprise sales cycles. Knowledge of

Generative AI technologies and how they apply to analytics and decision-making are highly

This individual will work closely with the sales team, prospects, and customers to demonstrate

How Incorta’s Unified Data and Analytics Platform can solve complex data challenges and

deliver rapid business value.

YOU WILL

• Partner with Sales to deliver compelling value propositions, product demonstrations, and
• Proofs of Concept (POCs) to prospective customers.
• Lead technical discovery sessions with customers to understand their data architecture, business needs, and current pain points.
• Translate customer requirements into Incorta-based solutions, showcasing our Advantages in real-time data ingestion, transformation, and visualization.
• Build custom demos and POCs, leveraging Incorta’s platform (including Incorta Nexus GenAI), Data Apps, and integration with source systems like Oracle, SAP, Snowflake, etc.
• Explain data modeling concepts, query optimization, and data pipeline architecture to both technical and business audiences.
• Collaborate with product and engineering teams to provide feedback from the field.
• Present at events, webinars, and customer workshops as a technical expert.
• Stay updated with data trends, GenAI developments, and regional market demands.
• Support RFPs / RFIs and contribute to technical proposals.

YOU HAVE

NICE TO HAVE

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