Integrity & Authenticity Product Manager - USDS

Responsibilities:

• Drive product strategy for the US with a particular focus on misinformation, deceptive behaviors and AI-generated content
• Architect and implement safety systems to keep TikTok free from misinformation and deceptive behavior, including user-facing products, scaled content moderation and machine learning moderation
• Have a deep understanding of machine learning model development and measurement to partner with our Machine Learning Engineering (ie. Algo) teams to develop proactive detection for detecting bad actors or violative content
• Lead the ideation, prioritization, and execution of initiatives within the Integrity & Authenticity domain
• Lead cross-functional initiatives around user research, product ideation, KPI design, A/B testing and go-to-market
• Contribute to defining the long-term Integrity & Authenticity roadmap and collaborate with partner teams on product, technical, and privacy decisions
• Ensure our products and strategies meet regional compliance, legal and security requirements
• Manage competing priorities in a fast-paced, ambiguous, and constantly changing environment
• Work with global teams across multiple regions, time zones, languages; open to domestic and international travel

Minimum Qualifications:

• BA/BS degree in Computer Science, Information Systems, Economics, Engineering, Business Management or equivalent.
• 3+ years in Product Management for consumer-facing mobile, social media or SaaS companies.
• 3+ years in Trust & Safety or Risk Management roles.
• Proven track record of leading successful product initiatives in a fast-paced environment.
• Strong analytical skills to drive product decisions with data.
• Excellent communication and project management skills, with the ability to work effectively across diverse teams and influence stakeholders at all levels.
• Knowledge of online digital safety and a deep understanding of abuse trends specific to US cultural norms and sensitivities.

Preferred Qualifications:

• Experience in understanding, detecting and moderating AI-generated content using Machine Learning or human moderation teams.
• Experience in project management with cross-functional teams, including both technical and non-technical audiences, across different time zones, cultures, and languages.
• Adept at collaborating with technical teams such as Data Science, Machine Learning and Software Development teams.
• Expertise in Integrity & Authenticity, Fraud Detection, Trust & Safety, or related areas.
• Understanding of safety-by-design principles and tech industry policies.
• Experience managing products related to human and/or machine-based moderation for removing harmful content is highly desirable.