Area Manager, Red Team

Socket.dev

Dallas (TX)

On-site

USD 98,000 - 122,000

Full time

14 days+
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Job summary

Scale AI in Texas is seeking an Area Manager within the Red Team & Safety Center to lead a contributor workforce conducting adversarial testing of frontier AI models. You will manage a portfolio of ~30–45 contributors and 2–4 Campaign Leads, owning staffing decisions and performance reviews.

You will interface with leadership, HR, IT, and EOR partners, coordinate onboarding and offboarding, and drive tool development to improve efficiency and outcomes. This onsite role reports to the Center Lead.

Qualifications

  • 2+ years of AI red teaming, trust and safety, or related field.
  • 1+ years of direct people management or team leadership.
  • Strong organizational and workforce planning skills.
  • Excellent written and verbal communication; able to give clear feedback.
  • Experience with HR processes including performance management and onboarding.
  • Ability to work with sensitive or graphic material across modalities.

Responsibilities

  • Manage 2–4 Campaign Leads and oversee a contributor population of ~30–45.
  • Own workforce allocation and staff projects based on skills and availability.
  • Conduct weekly 1:1 feedback sessions and draft performance documentation.
  • Take HR actions including performance improvement plans and escalations.
  • Coordinate EOR admin: timecards, PTO, benefits, and partner liaison.
  • Coordinate onboarding/offboarding with support staff; provide overview across campaigns.
  • Provide domain guidance, policy consultation, and quality calibration.
  • Identify tools and processes to improve efficiency and contributor success.
  • Conduct training sessions and manage knowledge transfer.

Skills

People management
Workforce planning
Operations leadership
HR processes
Clear communication
Adversarial safety testing

Job description

Scale AI is seeking Area Managers within the Red Team & Safety Center to lead and manage the contributor workforce conducting adversarial safety testing of frontier AI models. Area Managers are responsible for people management, workforce allocation, and operational leadership across multiple campaigns and Campaign Lead teams.

DESCRIPTION

You will manage a portfolio of ~30–45 contributors, including 2–4 Campaign Leads who report directly to you. You will own workforce allocation decisions, conduct performance reviews, take HR actions, and serve as the primary interface between the contributor workforce and Scale leadership, HR, IT, and EOR partners.

KEY RESPONSIBILITIES
  • Manage 2–4 Campaign Leads and oversee a total contributor population of ~30–45
  • Own workforce allocation: Receive project staffing requests from delivery, assign contributors based on skill, availability, and project needs
  • Conduct weekly 1:1 performance feedback sessions with Campaign Leads and contributors; draft performance documentation with input from CLs
  • Take HR actions including “seek to understand” conversations, performance improvement plans, and escalations to HR
  • Manage all EOR administrative coordination: Timecards, PTO, benefits questions, and teaming partner liaison with HireArt
  • Coordinate with support staff (HR, IT, facilities) on contributor onboarding, offboarding, and operational needs
  • Provide subject matter oversight across campaigns: Domain guidance, content policy consultation, and quality calibration
  • Identify and develop tools, processes, and product features to improve operational efficiency and contributor success
  • Conduct training sessions for new contributors; manage knowledge transfer and onboarding processes
MINIMUM QUALIFICATIONS
  • 2+ years of professional experience in AI red teaming, trust and safety, content safety operations, or a closely related field
  • 1+ years of direct people management or team leadership experience
  • Strong organizational and workforce planning skills; ability to manage allocations across multiple concurrent projects
  • Excellent written and verbal communication skills; ability to deliver clear performance feedback and represent team needs to leadership
  • Experience with HR processes including performance management, corrective actions, and onboarding
  • Ability to work with sensitive or graphic material across text, image, video, audio, and agentic modalities
PREFERRED QUALIFICATIONS
  • Experience managing managed workforce operations in technology, BPO, content moderation, or government services
  • Familiarity with EOR/staffing agency coordination and co-employment considerations
  • Background in AI/ML safety evaluation, adversarial testing, or model policy development
  • Experience with productivity analytics, workforce planning tools, or operational dashboards
COMMITMENT AND LOCATION
  • Full-time, FTE-Field position at Scale AI
  • Onsite role based in Southlake, TX
  • Reports to Red Team & Safety Center Lead

This role may involve exposure to sensitive or distressing content across text, image, video, audio, and agentic modalities, including material that is sexual, violent, or otherwise disturbing.

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.

The base salary range for this full-time position in the location of Texas is:

$98,000 - $122,000 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 accommodations@scale.com. 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.

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.

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