AI Safety Programs Manager – Human Data Ops

mpathic

Boston (MA)

On-site

USD 140,000 - 190,000

Full time

14 days+
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Job summary

mpathic is seeking a Program Manager, Human Data Operations to lead the execution of complex AI safety, evaluation, human data and red teaming for leading AI companies. You will report to the Co-Founder/Chief Innovation Officer and oversee end-to-end delivery across cross-functional teams with accountability for project execution, quality, and customer outcomes.

The role requires managing large-scale services operations with distributed experts, annotators, reviewers, red teamers, contractors,

Qualifications

  • 5+ years in program management, operations leadership, or related field.
  • Experience running large-scale human data, annotation, evaluation, or trust & safety programs.
  • Proven ability to lead distributed teams of contractors, reviewers, annotators, experts, or QA personnel.
  • Experience with customer-facing programs and executive stakeholders.

Responsibilities

  • Own end-to-end delivery planning, staffing, execution, quality management, and reporting for multiple engagements.
  • Coordinate cross-functional project pods across humans data, QA, engineering, product, research, and customer success.
  • Build scalable systems that improve project visibility, quality, throughput, or efficiency.
  • Partner with senior leaders to forecast capacity and support business growth.
  • Identify expansion opportunities and surface operational improvements to leadership.

Skills

Project management
Stakeholder communication
Cross-functional teamwork
Operational excellence
Risk management

Job description

mpathic is seeking a Program Manager, Human Data Operations to lead the execution of complex AI safety, evaluation, human data and red teaming for leading AI companies. You will report to the Co-Founder/Chief Innovation Officer and oversee end-to-end delivery across cross-functional teams with accountability for project execution, quality, and customer outcomes.

The role requires managing large-scale services operations with distributed experts, annotators, reviewers, red teamers, contractors,

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