Delivery Manager

Summary

Join Turing as a Delivery Manager and play a pivotal role in delivering high-quality LLM training datasets and AI model enhancement projects. You will lead cross-functional technical teams, ensuring seamless collaboration and adherence to project timelines. This role involves close partnership with senior leadership and direct engagement with strategic clients. Responsibilities include managing project lifecycles, coordinating workstream assignments, monitoring team performance, and conducting quality reviews. You will leverage your technical expertise in AI/LLM techniques and software development to deliver exceptional results and foster business growth. The ideal candidate possesses a strong understanding of AI/LLM techniques, software development practices, and experience managing complex technical projects. Turing offers a competitive compensation, flexible working hours, and a full-time remote opportunity.

Requirements

• Strong understanding of software development practices, particularly in Python and JavaScript , with familiarity in modern software frameworks and methodologies
• Good understanding of AI/LLM techniques including Supervised Fine Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and prompt engineering
• Capable of translating technical execution into clear business value, aligning team efforts with strategic client objectives, and identifying opportunities for operational and strategic growth
• Experienced in managing client relationships and complex project deliveries effectively
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
• Minimum 15+ years of relevant experience, including at least 3 years in a management or leadership role
• Demonstrated experience managing and delivering complex technical projects successfully
• Proven ability to communicate effectively at all levels, seamlessly bridging technical and business discussions
• Experience working with global, remote teams and fostering collaborative team environments

Responsibilities

• Lead technical teams in executing Supervised Fine Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) projects, ensuring high-quality and timely deliveries
• Serve as a trusted technical and project management liaison between Turing and our strategic clients, managing expectations and fostering robust partnerships
• Oversee project lifecycles from initiation through delivery, managing priorities, timelines, resources, and ensuring alignment with business objectives
• Coordinate workstream assignments across specialized teams, maintain clear and effective communication, and proactively manage risks and challenges
• Monitor team performance metrics, conduct performance evaluations, provide actionable feedback, and identify opportunities for professional growth and advancement within the team
• Foster a culture focused on impact, innovation, and continuous learning, encouraging proactive professional development
• Conduct thorough quality reviews of team outputs to maintain consistently high standards, identifying areas for improvement early and implementing corrective actions
• Drive innovation in prompt engineering, process optimization, and product enhancement, contributing actively to continuous improvement initiatives

Benefits

• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
• Competitive compensation
• Flexible working hours
• Full-time remote opportunity