429,851open jobs
14,548companies
65,110added this week
Browse all
Salary
$134k – $168k per year
Location
In office (San Francisco)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Scale AI is an American company founded in San Francisco in 2016 that supplies the training data, evaluation and tooling behind large artificial intelligence systems. It began with human-labelled annotation for autonomous driving and computer vision, then expanded into reinforcement learning from human feedback, expert data generation, model evaluation and full-stack deployment platforms for enterprises and governments. In 2025 Meta acquired a large minority stake and hired co-founder Alexandr Wang, after which the company continued under new leadership serving defence, public sector and commercial customers.

Scale’s Generative AI business unit is experiencing historic growth. As the Community Manager, you will spearhead initiatives connecting hundreds of thousands of expert contributors on our platform. This is a strategic operational role requiring the execution of an operator, program manager, and creative writer. You’ll need an entrepreneurial mindset, operational rigor, and the ability to communicate effectively with diverse stakeholders across internal and external community channels.

Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Our Generative AI unit partners with the world's most advanced research teams to improve their models with human data.

You will ensure that our global network of contributors stay engaged and informed so that they can do their best work. You will manage communications, execute virtual campaigns and events, and develop strategies to grow and retain our contributor base. This pivotal role shapes community culture, facilitates a thoughtful contributor experience, and harnesses the energy of our community in order to achieve high-level business goals. You must employ creative problem-solving to resolve complex operational challenges and manage the communications cadence across diverse stakeholders.

In this role you will:

  • Create strategies to increase participation and satisfaction, overseeing external platforms like Reddit and managing our internal Outlier Community
  • Develop systems to efficiently channel questions, feedback, and disputes across our platforms and social channels
  • Lead with vision: Set direction for multi-team areas and inspire clarity and alignment
  • Organize virtual events to foster connection and monitor community sentiment in order to proactively mitigate risk and address concerns
  • Leverage user feedback, insights, and quantitative metrics to drive improvement in product and operational strategies
  • Enable the team: Instill ownership, drive cross-team collaboration, and remove structural blockers
  • Collaborate with cross-functional teams including operations, support, communications, marketing, and legal to maintain alignment and ensure cohesive messaging
  • Draft all manner of communications that Scale sends to contributors, maintaining consistent messaging across the contributor journey

Ideally, you’ll have:

  • Bachelor's degree in business, marketing, communications, finance, or a related field
  • Minimum five years of experience in communications, marketing operations, field operations, program management, or project management
  • Proven experience managing active, large-scale communities (thousands of members) on platforms like Slack, Discord or Discourse
  • Exceptional communication skills, with writing that has flawless spelling and grammar, is clear, concise, and tone-appropriate
  • The ability to synthesize complex details into accessible, digestible content 
  • A data-driven mindset with the ability to analyze metrics and adapt strategies accordingly
  • High ownership orientation with a willingness to execute operational tasks directly to achieve successful outcomes
  • Passion for building positive, engaging community experiences
  • Can use SQL and/or Claude Code to derive insights from data (or wants to learn, quickly)
  • Experience managing at least one direct report and holding them accountable to outcomes

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$134,400—$168,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
429,851 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
San Francisco
$20k – $40k per year (Estimated) • In office • Full-Time • 7+ years exp • Bachelor's Degree • Hyderabad
Python
SQL
Databases
Snowflake
Neo4j
GraphDB
OpenSearch
Amazon Neptune
AI/ML
Claude
Spark
Airflow
Claude Code
Fine-tuning
AI Agents
Flink
LLM
RAG
Hallucination
GraphRAG
Agentic Workflows
DevOps
Terraform
CloudFormation
Azure
CI/CD
Git
AWS
Docker
Kubernetes
AWS Lambda
Amazon S3
Analytics
ETL/ELT
Apply
$29k – $65k per year (Estimated) • In office • Full-Time • 7+ years exp • Master's Degree • Hyderabad
Python
TypeScript
SQL
Databases
Snowflake
OpenSearch
AI/ML
Claude
Claude Code
Model Context Protocol
Multimodal AI
AI Agents
RAG
A2A
Edge AI
Agentic Workflows
DevOps
Terraform
Azure
CI/CD
AWS
Vector
Apply
$78k – $156k per year • In office • Full-Time • 4+ years exp • Bachelor's Degree • Des Plaines
Python
Java
SQL
C++
SAS
DevOps
Azure
Analytics
Tableau
Power BI
Management
Power Automate
Power Apps
Apply
Sr. Software Engineer 5 hours ago
$90k – $180k per year • In office • Full-Time • 4+ years exp • High School Diploma • United States
Python
JavaScript
Java
SQL
C#
C++
Java
Hibernate
C#
.NET
Databases
PostgreSQL
DevOps
Azure
AWS
Management
Confluence
Apply
$13k – $36k per year (Estimated) • In office • Full-Time • Bachelor's Degree • Hyderabad • Chennai
Python
SQL
AI/ML
Prompt Engineering
LLM
Apply
$265k – $331k per year • Equity • In office • Full-Time • 8+ years exp • New York
AI/ML
Fine-tuning
AI Agents
Apply
$274k – $342k per year • Equity • In office • Full-Time • San Francisco
DevOps
Platform Engineering
Apply
$214k – $267k per year • Equity • In office • Full-Time • 2+ years exp • Washington
AI/ML
Scale AI
DevOps
GCP
Azure
AWS
Docker
Kubernetes
Cybersecurity
FedRAMP
Apply
$34k – $84k per year (Estimated) • In office • 4+ years exp
AI/ML
RLHF
Reinforcement Learning
Scale AI
Apply
$147k – $281k per year (Estimated) • In office • 5+ years exp • London
Databases
PostgreSQL
Snowflake
Databricks
AI/ML
ChatGPT
Fine-tuning
RLHF
Reinforcement Learning
AI Agents
RAG
Pre-training
Knowledge Graph
DevOps
Terraform
GCP
CircleCI
Azure
CI/CD
AWS
Docker
Kubernetes
Platform Engineering
Apply
$255k – $330k per year • In office • Full-Time • 15+ years exp • Bachelor's Degree • San Francisco
AI/ML
Supervision
Apply
$260k – $302k per year • Remote/Hybrid • Full-Time • 7+ years exp • San Francisco
Python
AI/ML
LLM
OpenAI
Apply
$401k – $445k per year • In office • Full-Time • San Francisco
AI/ML
ChatGPT
OpenAI
Post-training
LLM Guardrails
DevOps
Platform Engineering
Apply
$82k – $123k per year • In office • Full-Time • 2+ years exp • PhD • San Francisco • Chicago • New York
AI/ML
Claude
Claude Code
AI Agents
Agentforce
Apply
$82k – $123k per year • In office • Full-Time • 2+ years exp • PhD • San Francisco • Chicago • Boston • New York • Denver
AI/ML
Claude
AI Agents
OpenAI
Agentforce
Analytics
Tableau
Management
Slack
Google Workspace
Google Sheets
Apply
See all jobs
This is one of many
429,851 more open roles from verified company boards, updated every day.