
10,000+ employees
Founded 1971
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
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.
🕒 June 4
Improve your chances of getting an interview by checking your resume score before you apply.

10,000+ employees
Founded 1971
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
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.
• Partner with the GM and early customers to define what the vertical actually needs technically. • Build the first MVP of reusable patterns, integrations, and tooling that future engagements will run on, leveraging our core platform where it fits and extending it where the vertical requires something new. • Make architectural decisions about what belongs in the platform layer versus vertical-specific tooling. • Create the initial technical playbook so future FDEs can build on a real foundation rather than starting from scratch. • Lead the first customer engagements in the vertical, from technical scoping through delivery and post-launch support. • Write robust code that solves immediate customer problems while compounding into reusable infrastructure. • Navigate real-world complexity across customer data, integrations, workflows, and stakeholder dynamics. • Translate messy customer requirements into systems that are durable and maintainable. • Partner with Product and Engineering to identify which patterns from early customer work should become core platform capabilities. • Surface repeatable use cases, infrastructure gaps, and product opportunities from live engagements. • Help determine when the vertical is ready to evolve from bespoke delivery into a repeatable product motion. • Work directly with the GM or Solutions Lead to define the vertical’s technical strategy and commercial approach. • Partner with Data Lab on domain-specific data and research questions. • Collaborate with other FDEs on shared patterns, tools, and approaches that should compound across verticals. • Serve as the technical voice of the vertical as it grows.
• 3+ years of engineering experience, including meaningful 0→1 work as a founding engineer, early technical lead, or builder in a highly ambiguous environment. • Strong engineering generalist instincts with a backend and data orientation. • Hands-on experience with Python and SQL. • Comfort working across infrastructure, application logic, and data systems. • Ability to create structure where none exists and move quickly without a fully defined roadmap. • Strong technical judgment, especially around short-term delivery versus long-term architecture. • Strong written and verbal communication skills, including the ability to work directly with senior technical and business stakeholders. • Ability to independently run technical scoping conversations with customers and translate them into concrete execution plans.
• Competitive salary • Flexible work hours • Professional development budget • Home office setup allowance • Global team events
Apply Now🕒 May 30
AI Engineer developing and scaling AI strategy for a Healthtech company addressing healthcare efficiency. Collaborating on data-driven solutions and advanced AI architectures.
🗣️🇧🇷🇵🇹 Portuguese Required
🕒 May 30
Senior QC Engineer for live SaaS platform ensuring quality and addressing production incidents. Collaborating with global teams and translating technical issues into actionable tickets.
SQL
🕒 May 27
Leading deployment of AI-powered voice solutions for enterprise clients and ensuring ongoing reliability through technical support. Building monitoring systems and managing telephony integrations.
Docker
Kubernetes
Python
VoIP
🕒 May 19
Cloud Platforms Engineer responsible for managing cloud infrastructure solutions at Amcor. Collaborates with leadership to align technology with business strategies and improve service delivery.
AWS
Azure
Cloud
Docker
IoT
Jenkins
Kubernetes
Puppet
SQL
Terraform
🕒 May 7
Senior Field Services Engineer at Signode responsible for troubleshooting and maintaining packaging equipment. Collaborating with clients for installation and training processes.
🗣️🇧🇷🇵🇹 Portuguese Required