Senior Presales Solutions Engineer
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Some ghost-posting signals
- open for 318 days (90+ without a fill is a strong ghost signal)
- 14 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
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About the role
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
5–7 years of experience in Presales, Solutions Engineering, or related customer-facing
technical roles.
Strong understanding of data platforms, including data modeling, ETL/ELT pipelines, and data warehousing concepts.
Familiarity with data management practices, including governance, quality, and metadata.
Hands-on experience with platforms like Incorta, Snowflake, Databricks, MS Fabric, or similar is a plus.
Exposure to or understanding of Generative AI (LLMs, RAG, AI copilots) in analytics is a strong plus.
Strong communication and presentation skills in both English and Arabic.
Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field.
NICE TO HAVE
Strong SQL skills; knowledge of Python is a plus.
Experience designing or presenting cloud-based architectures (AWS, GCP, Azure).
Familiarity with NDMO, PDPL, or regional data regulations is a plus.
Ability to engage with both technical and executive-level stakeholders.
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