
51 - 200 employees
Founded 2009
🤝 B2B
☁️ SaaS
🏢 Enterprise
B2B • SaaS • Enterprise
IEBT Innovation is a Brazilian innovation accelerator and consultancy that provides end-to-end innovation and digital transformation services to corporations, governments, universities and ecosystems. It operates the ZING platform for managing innovation hubs, challenges and entrepreneurship programs, runs acceleration programs, evaluates startups, and helps partners capture funding and build digital solutions. With a team of ~180 innovation and technology professionals, IEBT focuses on corporate innovation, public-sector projects, capacity-building and technology-enabled program delivery.
🔥 0 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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51 - 200 employees
Founded 2009
🤝 B2B
☁️ SaaS
🏢 Enterprise
B2B • SaaS • Enterprise
IEBT Innovation is a Brazilian innovation accelerator and consultancy that provides end-to-end innovation and digital transformation services to corporations, governments, universities and ecosystems. It operates the ZING platform for managing innovation hubs, challenges and entrepreneurship programs, runs acceleration programs, evaluates startups, and helps partners capture funding and build digital solutions. With a team of ~180 innovation and technology professionals, IEBT focuses on corporate innovation, public-sector projects, capacity-building and technology-enabled program delivery.
• Lead technical pre-sales meetings with mid-market and enterprise clients • Design and architect modern solutions using GCP's data and AI ecosystem • Define technical project scope and estimate delivery effort • Develop rapid prototypes and proof-of-concepts • Act as the technical arm of the sales team • Stay up to date and represent IEBT in Google Cloud partner forums
• Experience in pre-sales or solutions architecture • Strong data and AI expertise on GCP: solid hands-on experience with Google Cloud's data suite • Code-based architecture: Python knowledge focused on data manipulation • Experience with generative AI and orchestration is desirable • Data connectivity and ingestion • Modern engineering practices • Infrastructure as Code (IaC): basic knowledge of Terraform
• Active certifications: Google Cloud Professional Machine Learning Engineer • Google Cloud Professional Data Engineer
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