Principal Presales Consultant – Digital, Data Analytics, AI

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🕒 December 15, 2025

🍂 Massachusetts – Remote

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💵 $135.7k - $270k / year

⏰ Full Time

🔴 Lead

🔍 Pre-sales Engineer

👻 Ghost score 35%

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Logo of Mendix

Mendix

1001 - 5000 employees

Founded 2005

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $25M Series B on 2014-01

Consulting • Healthcare • Manufacturing

Mendix is a leading enterprise low-code application development platform recognized by Gartner's Magic Quadrant 2024. It allows enterprises to accelerate application development and delivery using AI-enhanced features. Mendix offers a visual IDE called Studio Pro, which simplifies complex tasks and automates routine processes. The platform supports IT governance, compliance, and digital transformation strategies. Mendix helps organizations optimize legacy investment and create exceptional customer experiences across industries like financial services, manufacturing, and retail. It also provides robust integration capabilities and collaboration with strategic partners like AWS and Red Hat.

📋 Description

• Lead discovery of customer AI/data ecosystems, assess AI/ML maturity, and uncover strategic opportunities • Position Siemens’ Knowledge Graph platform as the foundation for enterprise-grade Agentic and Generative AI • Demonstrate how Graph Studio & Graph Lakehouse enhance LLM accuracy, reduce hallucinations, and enable intelligent automation • Connect Mendix applications to data and AI foundations for rapid, impactful solutions • Advise C-suite and technical stakeholders on data-to-AI strategy and roadmap

🎯 Requirements

• Presales, sales engineering, solution architecture, or technical consulting experience • Strong understanding of modern data platforms, analytics, and AI/ML pipelines • Ability to influence executives and guide enterprise-scale AI adoption • Comfort across cloud, data, AI, and application architectures • Bonus / Nice-to-Have: • Experience with Palantir (Foundry, Gotham, AIP) or similar platforms • Knowledge of knowledge graphs, semantic tech, graph databases, or data fabrics • Exposure to RAG, Agentic AI, or enterprise GenAI deployments

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