Solutions Engineer

Job not on LinkedIn

August 6

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Logo of Grupo Protege

Grupo Protege

Artificial Intelligence • B2B • SaaS

Grupo Protege is an AI training data platform that connects AI developers with high-quality, ethically sourced training data. It serves both AI developers by providing a vast and rich collection of data for model training and data holders by enabling them to monetize their data while maintaining governance and control. The platform aims to streamline the data procurement process significantly, making it easier for developers to access the data they need efficiently.

10,000+ employees

Founded 1971

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

📋 Description

• We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. • The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. • As our first Solutions Engineer, you will serve as the technical bridge between our customers, third-party vendors, and internal engineering teams. • You will lead integration projects with external partners, ensuring smooth onboarding, implementation, and success of our platform within healthcare organizations and AI workflows. • You’ll be at the heart of shaping how we implement solutions with our customers to power real-world AI systems.

🎯 Requirements

• You are curious, tenacious, and proactive. • You are not bothered by ambiguity but embrace finding patterns in complex environments. • Experience in pre-sales, solutions engineering, or consulting, working closely with customers to deliver tailored solutions. • Strong communication skills, with the ability to explain complex technical concepts to diverse audiences. • Strong skills in Python and SQL. • Familiar with AWS. • Excellent problem-solving skills and adaptability in a dynamic and evolving tech landscape. • Excited to work in a company that deals with moving and transforming large volumes of data. • Bonus if you have these attributes: • Experience with Snowflake • Experience with other cloud providers like GCP and Azure • Experience with Spark • Prior startup experience

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