Staff Program Manager, Human & LLM Data Annotation Operations (Remote - US only)

This is a senior operations leadership role at a large, established online community platform with a global user base. You will own the central function that produces high-quality data labels used to train and evaluate advertising and consumer product models. The role is a 0-to-1 build, combining program management, vendor coordination and the design of LLM-assisted labeling workflows. Responsibilities Own and scale the intake process for labeling requests from consumer and advertising teams, and prioritize work against agreed criteria and business impact. Design and execute the operational roadmap for adding LLM-assisted labeling to complement human vendor teams and increase throughput. Standardize taxonomy guidelines and run multi-quarter labeling projects that support product experiments and safety systems. Work with product managers, data scientists and operations leaders to turn product goals into clear human and machine labeling tasks. Partner with the vendor manager to hand off guidelines, resolve complex edge cases and set up feedback loops on task quality. Build and document SLA frameworks, quality assurance practices and throughput metrics for all labeling domains. Requirements 7+ years in data operations, program management or vendor operations, with a strong focus on data labeling, training data or taxonomy work. Proven record of aligning product and engineering leaders and enforcing structured prioritization. Ability to turn vague product requirements into unambiguous labeling instructions, edge-case decision trees and classification schemas. Hands‑on experience using LLMs, synthetic data or automated tooling to support vendor annotation workflows. Experience working with internal vendor operations teams to convert project requirements into executable guidelines and handle escalations. Must be authorized to work and be located in the United States. Preferred: experience across both advertising and consumer product organizations; strong SQL skills for analyzing vendor quality, throughput and SLA data. Applicants must be based in: United States. #J-18808-Ljbffr IllTip