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