--- title: 'Staff Program Manager, Human & LLM Data Annotation Operations at Reddit' canonical: 'https://feeny.ai/job/staff-program-manager-human-llm-data-annotation-operations-reddit-united-states-8bbm67d1tbvk' type: 'job' last_seen: '2026-11-08' --- # Staff Program Manager, Human & LLM Data Annotation Operations at Reddit - **Company:** Reddit - **Location:** United States - **Compensation:** $180k–$252k - **Work type:** remote - **Posted:** 2026-10-30 - **Last confirmed live:** 2026-11-08 - **Apply:** https://job-boards.greenhouse.io/reddit/jobs/8319764 ## Job description Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit [www.redditinc.com](http://www.redditinc.com/). Reddit is continuing to grow our teams with the best talent. This role is[completely remote friendly](https://redditblog.com/2020/10/27/evolving-reddits-workforce/) within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. Reddit is a network of thousands of communities where over 100 million daily active users dive into their interests, hobbies, and passions. Core to scaling our ads, and consumer experiences is high-quality, continuous data annotation. Our Operations ecosystem is expanding its central labeling engine to power models, taxonomies, and product experiments across both our Ads and Consumer Product organizations. We are seeking a Staff Operations Program Manager (IC5) to serve as the strategic architect and operations lead for Reddit’s central data labeling function. In this high-visibility, 0-to-1 role, you will engage directly with product and technical teams across the company at all levels, to determine requirements and how best to execute these via our centralised function. You will excel at translating complex, unstructured product needs into clear, scalable labeling directives that can be seamlessly executed by vendor teams and you will partner with our vendor partners to scale and optimize our delivery model.  In parallel, you will partner with cross functional leaders to define the future of automated, LLM-based labeling - positioning Reddit to leverage best in class technology and operations efficiencies. Responsibilities: - Strategic Intake & Expectation Management: Strategic Intake & Expectation Management: Own and scale the incoming request process across Consumer and Ads. Ensure delivery frameworks are robust and reliable, and that all initiatives are prioritised appropriately, based on agreed criteria and business impact. - 0-to-1 Operations & LLM Scaling: Take full ownership of shaping how the central labeling function grows; design and execute the operational roadmap to integrate LLM-assisted labeling workflows to augment human vendors and multiply throughput. - Taxonomy & Experimentation Architecture: Standardize taxonomy definition guidelines and operationalize complex, multi-quarter labeling projects supporting Consumer Org product experiments and Ads Org safety systems. - Cross-Functional Alignment: Partner directly with Product Managers, Data Scientists, and Ops Leaders across orgs to align labeling capabilities with broader business objectives, translating high-level concepts into executable human and machine tasks. - Guideline & Operational Calibration: Partner with our dedicated Vendor Manager to hand off clear task guidelines, resolve complex edge cases, and establish feedback loops that ensure task performance aligns with product expectations. - Framework Development: Build, document, and standardize centralized request intake models, SLA frameworks, quality assurance practices, and throughput metrics across all labeling domains. Required Qualifications: - 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. - Stakeholder Management & Leadership: Proven ability to align Product and Engineering leadership, skilled at setting firm boundaries, and enforcing structured prioritization. - Translation & Taxonomy Mastery: Exceptional ability to translate vague product requirements into detailed, unambiguous labeling instructions, edge-case trees, and taxonomy classification schemas. - LLM & Automation Integration: Experience leveraging LLMs, synthetic data generation, or automated tooling to augment traditional vendor annotation workflows and scale operational capacity. - Operational Collaboration: Demonstrated ability to partner effectively with internal Vendor Operations/Managers to translate project requirements into executable guidelines and handle task-level escalations. Preferred Qualifications: - Experience navigating cross-functional dynamics across both 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. Benefits: - 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 ## #LI-SP1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $180,200—$252,300 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our [Candidate Privacy Policy for Potential Employees and Contractors](https://redditinc.com/policies/candidate-privacy-policy). Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know. ## About Reddit ## Company Overview - **One-liner**: Reddit is the heart of the internet, a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. - **Entity Type**: Public (NYSE: RDDT, IPO March 2024) - **Headquarters**: San Francisco, California, United States - **Founded**: 2005 - **Founders**: Steve Huffman, Alexis Ohanian (original co-founders; Huffman remains CEO) ## Core Business - **Primary industry**: Social Networking Platforms - **Target customers**: B2C (users), B2B (advertisers, data licensing partners). Massive global consumer audience; advertisers range from SMB to enterprise. - **Mission**: To empower communities, and make their knowledge accessible to everyone. ## Products & Services - **Reddit Platform**: The core social network consisting of thousands of user-created subreddits. Users post, vote, comment, and build communities around any topic. Free to use. - **Reddit Ads**: Self-serve and managed advertising solutions including display, video, and promoted posts. Key revenue driver. - **Reddit Premium**: Subscription offering ad-free browsing, exclusive badges, and access to a private subreddit. - **Reddit Public Access (API)**: Data feeds and APIs used by third-party developers, researchers, and increasingly for AI training data licensing. - **KarmaLab**: Reddit’s in-house creative agency that helps brands create native content and campaigns. ## Market Standing - **Valuation/Market Cap**: Publicly traded company; market cap fluctuates with stock price (specific figure not provided in search results). As of 2025 annual revenue of $2.2B, the company is valued in the tens of billions. - **Key Metric**: Annual Revenue: ~$2.2B (latest fiscal year). Daily Active Uniques: 127M (as of March 31, 2026). Weekly Active Uniques: 493M+. - **Notable Investors/Partners**: Parent company Advance Publications, Inc.; Tencent (led Series D); various institutional and retail investors post-IPO. - **Growth Signals**: Headcount grew 21.2% YoY to 3,009 employees. Active job postings up 18.9% YoY. Revenue scaling rapidly as ad business grows toward $1B target. International expansion across 50+ countries. ## Competitive Advantages - **Unique community-driven content**: User-generated, authentic, and highly engaged communities that are difficult to replicate. Over 100,000 active subreddits. - **Data moat**: Massive archive of human conversations and knowledge (25B+ posts & comments) – increasingly valuable for AI training and research. - **Brand recognition and cultural influence**: Reddit is a top-10 website globally, driving real-world impact (e.g., WallStreetBets, AMAs). - **Moderator ecosystem**: Volunteer moderators curate high-quality content at scale, reducing content moderation costs while maintaining quality. ## Strategic Focus - **Growing the advertising business**: Scaling ad revenue to $1B+ through improved ad products, self-serve tools, and international sales expansion. - **AI and data licensing**: Monetizing Reddit’s unique content corpus through partnerships with AI companies (e.g., Google) and building AI-powered features. - **International expansion**: Growing user base and ad sales in key markets (UK, Canada, Portugal, Netherlands, India, etc.). - **Product innovation**: Investing in video, real-time features, and improving the user experience to retain and grow daily active users. ## Why Work Here - **Culture**: Described as fun, quirky, and authentic. Core values include “Reddit’s Mission First,” “Add Value,” “Play to Win,” “Evolve,” and “Default Open.” - **Benefits**: Comprehensive health benefits, flexible vacation & global days off, family planning funds, 4+ months paid parental leave, personal & professional development funds, workspace/home office benefits. - **Employee Resource Groups (ERGs)**: Active ERGs including Ability, Allyship, Black People Reddit (BPR), Kaleidoscope, LGBTQ Snoo, OLE, RAN, Trans@Reddit, Women Eng, Women in Product, Women of Reddit. - **Work environment**: Hybrid/office policy not explicitly stated in search results; many roles are likely based in San Francisco or other offices (NYC, Toronto, etc.). Engineering culture emphasizes autonomy, impact, and building products used by millions. - **Career growth**: Rapid headcount growth and promotion opportunities; strong alumni network (Meta, Google, Amazon, etc.). Employee rating 3.8/5 on LinkedIn (compensation 4.1, culture 3.2, career 3.2). ## Sources 1. [redditinc.com](https://redditinc.com/careers) – Careers page with mission, values, benefits, ERGs, departments. 2. [job-boards.greenhouse.io](http://job-boards.greenhouse.io/reddit) – Current job openings. 3. [linkedin.com](https://www.linkedin.com/company/reddit-com) – Company profile with financials, headcount, revenue, funding, employee data. 4. [investor.redditinc.com](https://investor.redditinc.com/overview/default.aspx) – Investor relations with key metrics (DAU, WAU, communities). 5. [sec.gov](https://www.sec.gov/Archives/edgar/data/1713445/000171344526000062/redditinc10-k2025.pdf) – 2025 Form 10-K with corporate info, employee count, values, risk factors. ## Other roles at Reddit - [Senior Product Manager, Finance Technology (Procure-to-Pay & Record-to-Report)](https://feeny.ai/job/senior-product-manager-finance-technology-procure-to-pay-record-to-report-sa72m2j3s33n) — United States - [Senior Client Partner, Mid-Market Sales (Goods)](https://feeny.ai/job/senior-client-partner-mid-market-sales-goods-reddit-los-angeles-mtgyb3m1mtpp) — Los Angeles, CA - [Senior Product Designer, Ads](https://feeny.ai/job/senior-product-designer-ads-reddit-united-states-332sx0fk25f8) — United States - [Business Analyst](https://feeny.ai/job/business-analyst-reddit-new-york-jparmc3jfp6x) — New York, NY - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-reddit-san-francisco-ef6bt9j9r2dg) — San Francisco, CA - [Senior Data Scientist](https://feeny.ai/job/senior-data-scientist-reddit-san-francisco-6gz3hvh0f4mb) — San Francisco, CA - [Agency Partner Manager](https://feeny.ai/job/agency-partner-manager-reddit-toronto-0yrjwe1v1p1g) — Toronto, Canada - [Senior Software Engineer, GRC](https://feeny.ai/job/senior-software-engineer-grc-reddit-united-states-xchf5k1gtw5n) — United States - [Senior Staff Applied Scientist, Science Platform](https://feeny.ai/job/senior-staff-applied-scientist-science-platform-reddit-united-states-sb8fnpy2ryjy) — United States - [Software Engineer, Infrastructure Engineering](https://feeny.ai/job/software-engineer-infrastructure-engineering-reddit-united-states-7rsrey58gve4) — United States