Technical Delivery Manager (GenAI) at Sama

Responsibilities

• Oversee GenAI Projects: Manage GenAI projects from post-launch through implementation and rollout, ensuring timely and high-quality execution
• Center of Excellence: Serve as a key expert in delivering quality GenAI solutions on schedule and within budget
• Client Relationship Management: Handle client communications throughout the project lifecycle to maintain strong relationships
• Revenue Targets: Achieve and exceed monthly revenue goals while managing project budgets and margins
• Cross-Functional Collaboration: Work with internal and external teams (Marketing, Policy, Quality, etc.) to enhance outsourcing operations and community support
• Risk Management: Identify project risks, develop mitigation strategies, and communicate proactively with stakeholders
• Business Requirement Translation: Convert business needs into actionable implementation plans to support client community protection and support
• People and Performance Management: Oversee team well-being, disciplinary matters, and performance, managing up to 100 team members and ensuring high performance and KPI achievement
• Documentation and Reporting: Develop project procedures and documentation, and provide comprehensive reporting on production, quality, and resourcing initiatives. Assist with high-priority requests and adhere to change management processes

Minimum Qualifications

• Team Management Experience: At least two years managing a team of five or more direct reports
• Advanced English Proficiency: Excellent English skills, preferably at C2 level or higher
• GenAI/NLP Expertise: Over one year of experience managing GenAI projects, such as Model Evaluation, Supervised Fine-Tuning (SFT), Model Alignment (e.g., RHLF, DPO), or Red Teaming
• Technical Knowledge: Demonstrable experience in model training, evaluation, and a strong understanding of GenAI/NLP concepts
• Project Management Skills: Over 3 years in project management with expertise in process management, operations-based projects, and ability to manage GenAI projects with a focus on data analysis and risk mitigation
• Effective Communication: Ability to translate complex GenAI/NLP technical concepts into user-friendly business terms and communicate effectively with both technical and non-technical stakeholders

Preferred Qualifications

• Have completed a Bachelor's degree or higher, preferably in Computer Science, Information Technology, Information Systems, or a related field. Demonstrable knowledge of the latest trends and advancements in AI technologies, particularly GenAI
• Knowledge of generative models like GANs, VAEs, and transformers
• Understanding of machine learning pipelines, model training, and deployment.