Remote Delivery Manager

Summary

Join Turing as a Delivery Manager to oversee the execution of LLM training projects, focusing on multimodality, mathematics, and AI-related content. The ideal candidate will have a strong technical background, proven experience in managing large-scale delivery projects, and the ability to interface effectively with both technical teams and clients.

Requirements

• 10+ years of experience in managing large-scale delivery projects, with a strong technical background
• Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Mathematics, AI)
• Proven leadership experience, with a strong track record of managing and developing high-performing teams
• Extensive experience in data curation, annotation, and quality control processes
• Ability to work on any kind of problem. Comfortable dealing with uncertainty, hearing NO's, navigating with 80% correct answers, and pushing through the darkness
• Deep understanding of AI, machine learning, and multimodal data processing concepts
• Strong mathematical skills, with the ability to apply advanced mathematical concepts to data analysis and problem-solving
• Strong analytical skills, with the ability to analyze data sets, identify trends, and provide actionable insights
• Excellent communication skills, capable of effectively conveying technical concepts to diverse audiences
• Strong project management skills, with the ability to manage complex projects and cross-functional teams
• Experience in data analysis, with proficiency in tools such as Python/Swift
• Drive key metrics by ruthlessly focusing on high-ROI opportunities. Must have a proven record of creating sensible KPIs rather than just following industry best practices, many of which don't neatly apply when the lead is in an uncharted territory of innovation
• Ability to work in a fast-paced environment, with a growth mindset and a focus on innovation

Responsibilities

• Lead, mentor, and develop a large team of annotators, ensuring they meet and exceed project goals
• Conduct performance analyses, identify areas for improvement, and implement targeted training initiatives
• Foster a culture of excellence, continuous learning, and employee engagement through development programs and performance reviews
• Develop and implement strategies, including gamification, to motivate and recognize high-performing team members
• Lead the delivery of LLM training projects in diverse areas like multimodality, mathematics, STEM etc, ensuring they are completed on time, within scope, and budget
• Develop and manage detailed project plans, including timelines, resource allocation, and risk management strategies
• Collaborate with cross-functional teams to define project objectives, deliverables, and quality standards
• Serve as the primary point of contact for clients, ensuring their expectations are met or exceeded
• Conduct regular client meetings to provide project updates, address concerns, and strengthen client relationships
• Foster long-term partnerships with clients to encourage repeat business and referrals
• Work closely with technical teams to ensure that the latest advancements in AI, LLM, and multimodality are integrated into training projects
• Provide technical guidance to the team and clients, leveraging your expertise in AI and machine learning concepts
• Stay current with industry trends, emerging technologies, and best practices in AI and machine learning
• Collaborate with the R&D team to integrate new technologies and methodologies into service offerings
• Implement and optimize best practices for project delivery and operations to enhance efficiency and quality
• Continuously improve delivery processes, leveraging data-driven insights to refine operations and project outcomes
• Monitor key performance indicators (KPIs) and report on project delivery and operational performance

Preferred Qualifications

• Experience working with AI training projects and familiarity with LLM projects
• Knowledge of gamification strategies to drive team motivation and performance
• Familiarity with project management tools and methodologies
• Prior experience in a tech consulting or product management role is a plus
• SQL knowledge is advantageous

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