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Cybersecurity Hybrid Remote Full-time Worldwide

AI Experimentation Lab Manager

Nova SBE - School of Business & Economics Lisbon, Portugal

Looking for a Hybrid Remote Cybersecurity role? AI Experimentation Lab Manager at Nova SBE - School of Business & Economics is listed on Makely Remote Jobs as a Full-time opening based in Lisbon, Portugal (Worldwide). Review the role overview below, then apply on the employer’s original listing — Makely Remote Jobs does not process applications.

Role overview

At Nova SBE - School of Business & Economics (Permanent), in Lisbon, Portugal
Expires at: 2026-11-30
Remote policy: Partial remote

The AI Experimentation Lab Manager will manage and maintain the lab's infrastructure at the AI X Lab — an experimentation-driven space dedicated to advancing our understanding of human–AI interaction, and an initiative of the Digital Data Design Institute at Nova SBE (an affiliate of the Harvard Business School AI Institute).

The role ensures the availability, scalability, and security of resources for experimentation with AI models, APIs, blockchain, and other emerging technologies. The Lab is equipped with cutting-edge technology for data collection and behavioral analysis, enabling researchers to design and study real-world experiments that explore how people engage with intelligent systems and how these interactions shape decision-making, collaboration, and learning.

Key responsibilities include:
  • Manage and optimize the lab's computational infrastructure, including servers, cameras, sensors, and networks.
  • Configure, monitor, and maintain AI model and API performance, ensuring efficiency and scalability.
  • Automate processes and integrate systems using APIs and development frameworks.
  • Leverage generative AI development tools to accelerate prototyping, internal tooling, and automation scripts, ensuring outputs are reviewed, tested, and production-ready.
  • Ensure data and model security and integrity, implementing best practices in system administration and cybersecurity.
  • Monitor and troubleshoot technical issues in hardware and software, including debugging AI models and analyzing execution logs.
  • Support the team using open-source AI models and implementing experimentation and data analysis techniques.
  • Manage video recording and streaming for experimentation, ensuring high-quality and synchronized digital content.
  • Document processes, configurations, and best practices to ensure the replicability of experiments.

Main requirements

  • A degree in Computer Science, Computer Engineering, or related fields.
  • Experience managing and optimizing AI models, including deployment, versioning, and performance monitoring.
  • Advanced knowledge of APIs for model and system integration and interoperability.
  • Ability to develop and automate processes using Python, Bash, or other scripting languages.
  • Proficiency in using generative AI coding tools (e.g., Claude, GitHub Copilot, Cursor) to accelerate software development, prototype new features, and support code review and debugging workflows.
  • Experience in database management (SQL, NoSQL) and handling large datasets for experimentation.
  • Experience with MLOps and DevOps, as well as using Azure and AWS cloud services, including virtual machine management, serverless computing, and data storage.
  • Basic experience in server administration (Linux and Windows), local network (LAN) configuration, cloud computing management, and scalable infrastructure.
  • Ability to manage data collection infrastructure, including streaming and multimedia recording for experimentation, using OBS Studio and NDI protocols.


Nice to have

  • Interest in AI experimentation and emerging technologies, focusing on creating safe and efficient testing environments.
  • Curiosity to translate technical and business challenges into computational solutions, exploring how hardware and software can be applied in different fields.
  • Ability to work in multidisciplinary teams, collaborating with technicians, researchers, and business managers.
  • An exploratory mindset focusing on optimization and continuous improvement of computational infrastructure.


Summary provided for discovery. Always confirm details and apply on the original source. Makely Remote Jobs is not the employer and does not process applications.

Frequently asked questions

Is AI Experimentation Lab Manager at Nova SBE - School of Business & Economics a remote job?

Yes. This listing is categorized as Hybrid Remote on Makely Remote Jobs. Confirm any location or timezone limits in the original posting before you apply.

What is the employment type for AI Experimentation Lab Manager?

Source data lists this as Full-time. Always verify the contract type, benefits, and start date on the employer’s application page.

Where is AI Experimentation Lab Manager located?

Listed location: Lisbon, Portugal. Many remote Cybersecurity roles allow work-from-home with country or timezone restrictions — check the full description.

Do I apply on Makely Remote Jobs?

No. Makely Remote Jobs aggregates public remote job feeds for discovery. Use “Apply on Original Site” to open the employer’s official application URL. We never host applications or collect resumes.

Does Nova SBE - School of Business & Economics list salary for this Cybersecurity role?

Salary was not published in the source feed. Check the original listing or ask the recruiter during screening for compensation details.