This role pays more than
60%
of similar roles. Most pay
$174,950–$254,750
— the shaded band above.
At the midpoint, this role pays about
$219k
versus about
$215k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3518 open roles
on FindRole.
Listed pay typically runs
$166,600–$277,600
across 2727 roles with salary data.
The AIML - Senior Operations Program Manager - Responsible AI and Safety joins the Responsible AI team to manage partnerships, vendor relationships, and data operations for Safety Evaluation and Red Teaming programs. This role involves owning the resourcing, scoping, and execution of human-labeled data, workforce calibration, and localization infrastructure for generative AI features. Key responsibilities include managing external vendor portfolios, establishing feedback loops between Red-Teaming and Post-Ship Insights groups, and driving the operational scaling of data infrastructure for safety benchmarking and LLM-judge validation. The successful candidate will use SQL, spreadsheets, and BI tools to track performance while translating operational needs into infrastructure roadmaps. The work focuses on scaling safety evaluation needs across products, features, and international markets while ensuring compliant reporting for Apple Intelligence features.
Manage relationships with internal crowds and external vendor partners for evaluation, red-teaming, and data generation.
Own the scoping, resourcing, and execution of vendor work, including statements of work and quality audits.
Establish processes and feedback loops to connect Red-Teaming, Evaluation, and Post-Ship Insights groups.
Develop tools and infrastructure roadmaps by translating operational needs into requirements for engineering teams.
Drive the operational scaling of data infrastructure for human-labeled goldsets and LLM-judge validation.
Manage data pipelines for international expansion, including localization for new languages and cultural contexts.
Track vendor performance, costs, and data quality metrics using SQL and BI tools.
Provide compliant and timely reporting on operational risks and status to technical and non-technical stakeholders.
What we're looking for
Bachelor's degree in a related field.
5+ years of experience in vendor/partner management, data operations, or program management, ideally supporting ML/AI evaluation, annotation, or data labeling programs.
Demonstrated experience managing external vendor relationships and internal annotation operations at scale, including statements of work, budget, and performance management.
Experience scaling human-labeled data pipelines, including dataset creation, quality calibration, storage, and governance.
Experience scaling operations across multiple international markets, including working with multilingual and multicultural vendor workforces.
Experience coordinating across functionally distinct teams to close feedback loops and owning documentation to translate operational needs into tooling roadmaps.
Proficiency with data tools such as SQL and spreadsheets/BI tools to track vendor performance, cost, and data quality metrics.
Experience managing vendor or annotation partnerships specifically for AI safety evaluation, red-teaming, or Responsible AI programs (preferred).
Generative AI
AI Safety
Red Teaming
Python
DSPy
Machine Learning
Human Evaluation
Automated Red-Teaming
Responsible AI
Adversarial Security
Product Development