Technical Project Manager (AI)

3E is a mission-driven company dedicated to creating a safer and more sustainable world. They are seeking a Technical Project Manager (AI) to bridge product intent and engineering execution, focusing on building AI-enabled delivery systems and improving program delivery speed and quality.

Responsibilities:

• Translate product intent into executable tasks and establish automated validation to ensure that requirements are clear, testable, and ready before development begins
• Implement traceability across requirements, user stories, tests, and deployments
• Build automated validation, ensuring requirements are clear, testable, and ready before development begins
• Create cross-program detection for dependencies, blockers, and delivery risks, providing real-time visibility through automation
• Drive resolutions by actively engaging engineers, developing tools, and reducing the need for repeated interventions
• Build and maintain flow metrics infrastructure (including cycle time, lead time, work in progress, throughput, and predictability) to inform decisions regarding scope, timelines, and trade-offs
• Deploy forecasting and risk models to facilitate proactive delivery decisions
• Eliminate routine coordination through automation, allowing more time for judgment and action
• Write production-quality code (in Python, JavaScript, or equivalent languages) to address delivery challenges, review AI-generated code, and debug complex systems
• Design and orchestrate multi-agent AI workflows throughout the delivery lifecycle
• Integrate DevOps and MLOps practices, embedding governance into CI/CD processes and ensuring release readiness
• Lead transformation by actively participating in the process, assisting teams in adopting new tools, expectations, and ways of working

Requirements:

• Delivery leadership experience across multiple global teams and dependencies, with a track record of owning delivery results (not just coordinating)
• Strong understanding of Agile and flow-based delivery (Scrum, Kanban, or hybrid) and proven use of flow metrics to drive decisions
• Strong coding proficiency in Python, JavaScript, or similar, including the ability to write production-quality code, review AI-generated code, and debug
• Proven experience designing, building, and operating CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar)
• Practical cloud experience in AWS, Azure, or GCP, including containers and infrastructure-as-code or equivalent deployment automation
• Hands-on experience using AI coding assistants (Claude, Copilot, Cursor, ChatGPT, or similar) in software engineering workflows
• Excellent communication and relationship-building skills, forming recommendations using data and AI insight, and with the ability to influence across levels and functions
• Physically located in the Eastern Time Zone (US), with the ability to work without sponsorship
• Willingness and ability to work effectively across multiple time zones (North America, Europe, and Asia)
• DevOps reliability or MLOps experience (model deployment, monitoring, versioning, governance)
• Experience building internal tools or automations adopted by software engineering teams
• Familiarity with AI governance concepts or frameworks (for example, NIST AI RMF or EU AI Act concepts)
• Relevant certifications (cloud, AI, or delivery/agile, such as AWS, Azure, GCP, PMP, CSM/PSM)
• Experience leading organizational transformation initiatives in a global, distributed environment
• Proficiency in German or French