Delivery Manager - India

Company Information

Based in Palo Alto, California, Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilingualism, STEM and frontier knowledge; and leveraging that expertise to build real-world AI systems that solve mission-critical priorities for Fortune 500 companies and government institutions. Turing has received numerous awards, including Forbes's "One of America's Best Startup Employers," #1 on The Information's annual list of "Most Promising B2B Companies," and Fast Company's annual list of the "World's Most Innovative Companies." Turing's leadership team includes AI technologists from industry giants Meta, Google, Microsoft, Apple, Amazon, Twitter, McKinsey, Bain, Stanford, Caltech, and MIT. For more information on Turing, visit www.turing.com. For information on upcoming Turing AGI Icons events, visit go.turing.com/agi-icons.

Position Overview

We are seeking a smart, results-driven Delivery Manager to lead end-to-end project delivery for data annotation and AI training initiatives. We are looking for someone who is passionate about AI, data integrity, and leading teams to success. This role requires a strategic thinker with strong leadership and operations skills. The ideal candidate will have a proven track record in project management, process improvement, client relations, and operational efficiency in new-age business. A strong technical background in AI/ML data workflows, operations will be advantageous.

• Experience: 8-12 years

Primary Responsibilities

1. End-to-End Project Delivery & Client Management

   • 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.

2. Operational Excellence & Process Innovation

   • 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.

3. Team Leadership & Performance Management

   • 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.

4. Cross-Functional Collaboration & Stakeholder Management

   • 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.

5. AI Data Quality & Technical Excellence

   • 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.

Requirements

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Salary

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