ApplySarthi

Head of Delivery, AI Operations

Jobgether

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6,640 open operations roles across 618 companies are on ApplySarthi right now, most of them in Bengaluru (213), Hyderabad (139), Mumbai (121).

What operations roles keep asking for: Supply chain (20%), Excel (17%), Stakeholder management (12%) — counted across their open postings here.

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Interviews for operations roles keep coming back to Supply chain, Excel, Stakeholder management. Practise those questions before you sit with Jobgether.

Questions you are likely to be asked

  1. Why do you want to join Jobgether?
  2. What is your experience with Generative AI? Tell me one thing you learned the hard way.
  3. Walk me through a model you built, from the data to how it was used.
  4. How did you know your model was actually good, and not just good on your test set?
  5. Tell me about a time the data was messy or wrong. What did you do?

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Accountabilities:: AI Service Delivery: Lead the delivery of AI services including data collection and annotation, adversarial testing, model evaluation, and AI content safety moderation, ensuring consistently high-quality outcomes. Global Operations Leadership: Manage and develop a global team of Operations Managers, driving on-time, cost-effective delivery while meeting or exceeding customer quality expectations. Customer & Commercial Partnership: Collaborate with Sales Enablement and Business Development teams to scope opportunities, develop delivery solutions, and support proposals for new client engagements. Production Model Development: Design and oversee specialized operating protocols across different delivery models, including full-time employees in global centers, remote workers, and freelance contributors. Cross-Functional Collaboration: Partner with Quality, Training, PMO, Sales, Product, and Engineering teams to improve automation, strengthen workflows, and expand the ability to deliver reliable AI outcomes. Operational Excellence: Establish a culture of testing, iteration, and continuous improvement, ensuring processes remain efficient, scalable, measurable, and focused on results. Team & Performance Culture: Foster an environment of continuous learning, accountability, experimentation, and high performance across a globally distributed organization. Requirements Operations Leadership: 7+ years of operations leadership experience, ideally within organizations delivering HITL, RLHF, evaluation, or related AI services for advanced AI, autonomous vehicle, or robotics environments. AI & Generative AI Expertise: Strong understanding of large language models, generative AI workflows, and multimodal data structures, including video, spatial, and sensor-fusion data relevant to robotics. Technology Curiosity: Demonstrated enthusiasm for AI technologies and hands-on curiosity about emerging tools, platforms, and techniques, with a willingness to explore how new technologies can improve operational outcomes. Physical AI Interest: Strong interest in and commitment to learning about the latest developments in robotics, Physical AI, and related technologies. Leadership & Communication: Excellent communication and leadership abilities, with the confidence to engage customers, internal stakeholders, and globally distributed teams. High-Velocity Management: Proven experience leading teams in fast-paced environments with a strong focus on measurable outcomes, execution, and accountability. Problem Solving: Entrepreneurial mindset and the ability to navigate ambiguity while continuously testing, iterating, and scaling effective solutions. Analytical Thinking: Strong analytical skills with the ability to interpret complex information and translate insights into actionable operational improvements. Benefits Salary: Annual base salary range of $156,000–$234,000 , with actual compensation determined by qualifications, experience, skills, and geographic location. Remote Work: US-based remote position offering flexibility within the United States. Healthcare: Comprehensive medical, dental, and vision insurance. Retirement: 401(k) plan with company matching. Paid Time Off: Paid vacation, sick leave, and holidays. Global Scope: Opportunity to lead AI operations and collaborate with globally distributed teams across advanced AI, robotics, and Physical AI initiatives. Professional Growth: An environment focused on continuous learning, experimentation, internal development, and evolving AI technologies. Travel: Approximately 25% travel is expected as part of the role.

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Listed on lever · posted 2026-10-06. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.