Integrity & Authenticity Product Manager - USDS

TikTok
Los Angeles, California, US
Full-time
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Responsibilities :

Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.

  • 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.

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9 days ago
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