Policy Deployment Lead, GenAI and Emerging Products
Responsibilities
Our Company will be prioritizing applicants who have a current right to work in Singapore, and do not require Our Company's sponsorship of a visa.
As a Policy Deployment Lead for GenAI Safety and Emerging Products within Trust & Safety, you will work at the intersection of technology and policy to enable innovation while protecting users.
You will:
- Shape safety-by-design solutions for AI-powered and other emerging products and features.
- Build scalable safety and governance frameworks for emerging AI-powered products and technologies across multiple modalities, including text, image, audio, video, and multimodal systems.
- Partner closely with Product, Engineering, Data Science, User Research, Operations, Legal, Public Policy, and other cross-functional stakeholders to design and launch safe and compliant products.
This role supports fast-moving and often ambiguous product areas, including new product launches and emerging technologies. The ideal candidate is comfortable balancing user safety, business priorities, regulatory expectations, and product innovation in a dynamic environment.
What will I be doing?
- Drive the development, deployment, and operationalization of scalable policy frameworks, governance systems, and moderation workflows across GenAI products and business lines.
- Partner cross-functionally with Product, Engineering, Ops, QA, and AI/ML teams to implement policy changes, evaluation frameworks, moderation strategies, and operational quality systems across downstream stakeholders and workflows.
- Support the development and scaling of GenAI evaluation and policy infrastructure capabilities, including benchmarking systems, evaluation datasets, golden set strategies, prompt governance workflows, auto-evaluation systems, and policy-ground-truth generation pipelines.
- Build and maintain structured operational feedback loops, quality review processes, calibration systems, and policy change management workflows to improve enforcement consistency, moderation quality, and operational scalability.
- Translate complex policy and safety requirements into actionable operational guidance, training materials, evaluation methodologies, and scalable implementation processes across multiple products and modalities.
- Surface operational gaps, enforcement inconsistencies, and post-deployment issues through data analysis, root cause analysis, and stakeholder feedback, and partner cross-functionally to drive continuous improvement of policy systems and workflows.
- Support organizational scalability through development of foundational operational assets and governance mechanisms, including SOPs, case banks, policy documentation, rollout frameworks, certification programs, and internal tooling processes.
Qualifications
Minimum Qualification(s)
- 5+ years of experience in Trust & Safety, content policy, operations policy, governance, program management, or related operational strategy roles.
- Strong understanding of content moderation systems, policy interpretation, enforcement workflows, and operational quality management.
- Experience working cross-functionally with Product, Engineering, Operations, Data Science, AI/ML, QA, or related stakeholder teams.
- Proven ability to translate ambiguous policy or operational problems into scalable frameworks, processes, and operational solutions.
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- Strong analytical reasoning, execution, and project management skills, with the ability to navigate ambiguity and balance multiple trade-offs.
- Excellent oral and written communication skills, with the ability to translate complex challenges into clear, persuasive language for cross-functional stakeholders at different levels.
- Adaptability and sound judgment, with a willingness to evolve your approach based on new information, user feedback, product changes, or market developments.
Preferred Qualification(s)
- Experience in GenAI safety, AI governance, model evaluation, policy deployment, or AI moderation systems.
- Familiarity with evaluation methodologies, benchmarking systems, golden sets, auto-labeling systems, or policy-labeled datasets.
- Experience designing or operationalizing training, calibration, certification, or quality assurance programs at scale.
- Familiarity with multimodal AI systems, prompt engineering, synthetic data generation, or human-in-the-loop evaluation workflows.
- Strong judgment in balancing policy consistency, operational practicality, scalability, and product needs across global products and markets.
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- HSA
- Life Insurance
- Fitness Subsidies
- Short-Term Disability
- Long-Term Disability
- On-Site Gym
- Mental Health Benefits
- Virtual Fitness Classes
Parental Benefits
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Snacks
- Pet-friendly Office
- Happy Hours
- Some Meals Provided
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Performance Bonus
- Company Equity
Professional Development
- Promote From Within
- Access to Online Courses
- Leadership Training Program
- Associate or Rotational Training Program
- Mentor Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
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