Head of Delivery, AI Operations
New
J
JobgetherAI operations
US-based remote position offering flexibility within the United States.Full-TimeLead
Salary156,000 - 234,000 USD per year
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Job Details
- Experience
- 7+ years of operations leadership experience
- Required Skills
- LLMGenerative AI
Requirements
- 7+ years of operations leadership experience.
- Experience ideally within organizations delivering HITL, RLHF, evaluation, or related AI services for advanced AI, autonomous vehicle, or robotics environments.
- Strong understanding of large language models and generative AI workflows.
- Knowledge of multimodal data structures, including video, spatial, and sensor-fusion data relevant to robotics.
- Enthusiasm for AI technologies and hands-on curiosity about emerging tools, platforms, and techniques.
- Strong interest in learning about robotics, Physical AI, and related technologies.
- Ability to engage customers, internal stakeholders, and globally distributed teams.
- Experience leading teams in fast-paced environments with a focus on measurable outcomes, execution, and accountability.
- Ability to navigate ambiguity and test, iterate, and scale effective solutions.
- Strong analytical skills and ability to translate complex information into actionable operational improvements.
- Approximately 25% travel is expected.
Responsibilities
- Lead delivery of AI services, including data collection and annotation, adversarial testing, model evaluation, and AI content safety moderation.
- Manage and develop a global team of Operations Managers to deliver on time and cost-effectively while meeting customer quality expectations.
- Collaborate with Sales Enablement and Business Development to scope opportunities, develop delivery solutions, and support client proposals.
- Design and oversee specialized operating protocols for global-center employees, remote workers, and freelance contributors.
- Partner with Quality, Training, PMO, Sales, Product, and Engineering to improve automation and strengthen workflows.
- Establish testing, iteration, and continuous-improvement practices that make processes efficient, scalable, and measurable.
- Build a culture of learning, accountability, experimentation, and high performance across a globally distributed organization.
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