Technical Project Manager

Appen is a leader in AI training data, specializing in human generated data for AI models. The Technical Project Manager will lead the operational and technical execution of GenAI data projects, ensuring high quality delivery and maintaining client relationships while managing complex programs.

Responsibilities:

• Lead planning and execution of GenAI projects, ensuring clear scope, timelines, execution, and deliverables while maintaining client relationships
• Deliver projects on time and to defined quality benchmarks through disciplined operational management
• Drive accurate forecasting and proactive risk mitigation to protect delivery commitments
• Align internal teams, contributors, and clients to ensure clarity of expectations and execution standards
• Strategically improve productivity and quality by identifying bottlenecks and applying data driven operational decisions
• Strengthen stakeholder engagement through structured communication and transparent daily, weekly, and monthly reporting
• Establish structured project closure practices, capturing lessons learned, iterating operating processes, and identifying future opportunities
• Drive thought leadership and increase scalability of delivery models by applying repeatable workflows and structured improvements to accelerate delivery while maintaining quality

Requirements:

• 4 plus years of experience in project management, technical operations, or AI and ML data programs, ideally in high volume data operations
• Proven ability to manage multiple projects while upholding high delivery and quality standards
• Familiarity with large language models or generative AI, with experience in data annotation or AI training data projects strongly preferred
• Strong planning, organization, and stakeholder communication capability across technical and non-technical audiences
• Demonstrated risk management and forecasting discipline within project environments
• Strong data orientation, with the ability to interpret dashboards, identify bottlenecks, and make operational decisions based on metrics
• Working knowledge of tools such as Excel or SQL, with basic coding or data skills preferred
• Project Management qualification (ideally from Project Management Professional PMP)
• Bachelor's degree in a related field such as Economics, Business, Computer Science, Linguistics, Engineering, or Data Science. Advanced degree a plus