Delivery Manager

Summary

Join Turing, a rapidly growing AI company, as a Delivery Manager to lead data annotation and AI training projects. You will own project P&L, manage client relationships, and drive operational excellence. Responsibilities include end-to-end project delivery, process innovation, team leadership, cross-functional collaboration, and ensuring high data quality. The ideal candidate possesses strong leadership and operational skills, a technical background in AI/ML data workflows, and experience managing technical teams. This is a full-time remote opportunity with flexible working hours and competitive compensation.

Requirements

• Should have the natural ability to work on any kind of problem
• Should be comfortable dealing with uncertainty, hearing NO's, navigating with 80% correct answers , and pushing through the darkness
• Be able to define the problem structure, able to break it down into manageable steps , and show progress swiftly
• Strategic problem solver with a first principles approach and long-term vision & impact
• Demonstrated success managing technical teams of 10+ people with direct P&L accountability
• Track record of delivering complex, multi-stakeholder projects on time and within budget constraints
• Experience with agile methodologies, sprint planning, and continuous improvement processes
• Strong analytical skills with ability to derive actionable insights from large datasets and operational metrics
• Prior experience in handling and driving high-growth OKRs
• Excellent communication skills for client-facing roles, including presentation and negotiation capabilities
• Business judgment for making trade-offs between quality, speed, and cost based on client requirements
• Cross-cultural collaboration experience, comfortable working across global teams and time zones
• Problem-solving mindset with an ability to navigate ambiguous situations and drive resolution

Responsibilities

• Own full P&L responsibility for assigned projects, ensuring delivery within scope, timeline, and quality standards
• Partner with Account Delivery DRI to create comprehensive work plans and resource allocation strategies, including risk management frameworks
• Lead weekly client reviews, manage expectations, and drive continuous improvement based on feedback
• Foster long-term relationships with clients to encourage repeat business and referrals
• Implement and iterate on project planning, delivery, and closure SOPs to standardize best practices
• Design and monitor KPIs, including average handling time (AHT), quality scores, throughput metrics, etc
• Create reusable frameworks, templates, and approaches that can be scaled across multiple client engagements
• Lead, mentor, and develop teams of project managers, quality specialists, and other technical staff
• Implement targeted training programs and skill development initiatives to reduce ramp time and improve retention using data-driven insights to optimize team productivity and quality outcomes
• Foster a collaborative and innovative team environment with continuous learning
• Work closely with Horizontal Program Managers to secure appropriate tooling, infrastructure, and talent resources
• Coordinate with fulfillment teams on flex staffing strategies and vendor management for peak capacity needs
• Communicate technical concepts clearly to both technical and business stakeholders across different time zones
• Lead internal operational reviews and contribute to strategic planning initiatives with senior leadership
• Deep dive into multimodal data annotation processes (text, audio, image, video) to ensure the highest data integrity standards
• Collaborate with ML engineering teams to optimize annotation guidelines and quality control frameworks
• Stay up-to-date with the latest advancements in LLM, GenAI, and AI technologies
• Analyze large datasets using statistical methods to identify trends, anomalies, and improvement opportunities
• Drive innovation in annotation tooling, product, and workflow automation

Preferred Qualifications

• Engineering/Management degree from top schools like IIT, IIM, ISB
• Proven experience with multimodal data processing (text, audio, image, video) and annotation quality frameworks
• Previous consulting or client services experience in technical domains
• Knowledge of the latest multimodal AI technologies and how they can be leveraged to improve data annotation processes
• Advanced degree in a relevant technical field (MS/PhD in CS, Data Science, AI/ML)

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