Scaled Operations Manager Full Time

Scaled Operations Manager

Role Overview

You will own end-to-end operations for large-scale AI data production, model evaluation, and human-in-the-loop workflows. This role requires building operating frameworks, scaling global teams, driving efficiency, and partnering with product, engineering, and customers. You will lead cross-functional execution across quality, workforce planning, delivery, automation, and program management.

Key Responsibilities

Scaled Operations Leadership

• Build and scale high-volume AI data operations (annotation, RLHF, evaluation, red-teaming)
• Lead global delivery teams across multiple programs and customers
• Design operating models for 100–1000+ contributor scale
• Drive operational SLAs, quality, and turnaround time

Program & Delivery Management

• Own end-to-end delivery across multiple AI model training programs
• Partner with product and research teams on task design and execution
• Establish execution cadences, reporting, and governance
• Manage cross-functional stakeholders (Product, Eng, Customer)

Process & Efficiency

• Build SOPs, QA frameworks, and performance metrics
• Drive automation across workflows using AI and tooling
• Improve productivity, cost per task, and throughput
• Implement scalable quality control mechanisms

Workforce & Capacity Planning

• Build capacity models and hiring forecasts
• Manage vendor and in-house contributor ecosystem
• Drive utilization and staffing optimization
• Scale global distributed workforce

Cross-functional Execution

• Work with engineering to build internal tooling
• Partner with recruiting for rapid scale
• Collaborate with finance on cost optimization
• Support customer-facing program delivery

Basic Qualifications

• 10+ years in operations, program management, or scaled delivery
• Experience managing large-scale operations (100+ workforce)
• Background in BPO, Trust & Safety, AI ops, or data operations
• Strong stakeholder management and execution skills
• Experience building processes from scratch
• Strong analytical and problem-solving ability

Preferred Qualifications

• Experience in AI/ML data operations or model evaluation
• Experience scaling human-in-the-loop workflows
• Experience in global vendor operations
• Experience with automation and operational tooling
• Startup or high-growth environment experience
• Consulting or strategy + ops background