Turing
Delivery Manager - India
Job Summary
The role of Delivery Manager at Turing involves leading end-to-end project delivery for data annotation and AI training initiatives, with a focus on client management, operational excellence, and team leadership. The candidate should have a proven track record in project management, process improvement, and technical expertise in AI/ML data workflows, especially multimodal data processing. Strong leadership and communication skills are essential for coordinating cross-functional teams and stakeholders across different time zones. The position emphasizes innovation in data quality, workflow automation, and continuous improvement within a dynamic, remote work environment.
Required Skills
Benefits
Job Description
About Turing
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 using statistical methods to identify trends, anomalies, and improvement opportunities.
- Drive innovation in annotation tooling, product, and workflow automation.
Required Qualifications
1. High Aptitude Problem Solver
- 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.
2. Leadership & Ops Excellence
- 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.
3. Communication & Business Acumen
- 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 ability to navigate ambiguous situations and drive resolution.
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 relevant technical field (MS/PhD in CS, Data Science, AI/ML).
Advantages of joining Turing:
- 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
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
Turing
Advance AI from research to enterprise scale with Turing. Deliver measurable outcomes using cutting-edge intelligence solutions.
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