Staff Program Manager, Human & LLM Data Annotation Operations

Reddit, Inc.

. Own and scale the incoming request process across Consumer and Ads .

Posted 10/30/2026full-timeRemote • United StatesLead💰 $180,200 - $252,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data operations and program management with a focus on data labeling and taxonomy infrastructure. Proven ability to integrate LLM-assisted workflows and standardize operational processes to enhance throughput and quality.

Highest-signal resume keywords

Data Operations ManagementProgram ManagementLLM IntegrationSQL ProficiencyTaxonomy Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data LabelingModel Training DataTaxonomy ClassificationData ManipulationQuality Assurance PracticesOperational Roadmap DesignThroughput MetricsEdge-Case ResolutionRequest Intake ModelsSLA Frameworks

Soft Skills

Cross-Functional CollaborationEffective CommunicationStructured PrioritizationProblem-SolvingVendor Management

Tools & Technologies

LLMsAutomated ToolingSynthetic Data Generation

Industry Keywords

Consumer ProductsAds/MonetizationData OperationsVendor Operations

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Own and scale the incoming request process across Consumer and Ads
Ensure delivery frameworks are robust and reliable and initiatives are prioritized based on agreed criteria and business impact
Shape the growth of the central labeling function and design and execute the operational roadmap
Integrate LLM-assisted labeling workflows to augment human vendors and multiply throughput
Standardize taxonomy definition guidelines and operationalize complex, multi-quarter labeling projects
Partner with Product Managers, Data Scientists, and Operations Leaders to align labeling capabilities with business objectives
Translate high-level concepts into executable human and machine tasks
Partner with the Vendor Manager to hand off task guidelines, resolve edge cases, and establish performance feedback loops
Build, document, and standardize request intake models, SLA frameworks, quality assurance practices, and throughput metrics

Requirements

What you’ll need

7+ years of experience in data operations, program management, or vendor operations with a heavy focus on data labeling, model training data, or taxonomy infrastructure
Proven ability to align Product and Engineering leadership, set firm boundaries, and enforce structured prioritization
Ability to translate vague product requirements into detailed, unambiguous labeling instructions, edge-case trees, and taxonomy classification schemas
Experience leveraging LLMs, synthetic data generation, or automated tooling to augment traditional vendor annotation workflows and scale operational capacity
Ability to partner effectively with internal Vendor Operations/Managers to translate project requirements into executable guidelines and handle task-level escalations
Experience navigating cross-functional dynamics across Ads/Monetization and Consumer-facing product organizations
Strong proficiency in SQL and data manipulation to independently analyze vendor quality metrics, pipeline throughput, and project completion SLAs (preferred)

Benefits

Comp & perks

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Equity in the form of restricted stock units
Potential commission, depending on the position offered
Medical, dental, and vision insurance
Generous time off for vacation and parental leave