Senior Strategist, Scams and Verification Trust and Safety

Google Google · Big Tech · Seattle, WA +1

Senior Strategist role focused on protecting users from offline scams by using data, applied AI, and machine learning to optimize human review, identify enforcement gaps, and develop automation opportunities. The role involves collaborating with engineers to develop algorithms and solve quality issues end-to-end, with a focus on driving projects that increase user safety and provide a better online experience through Google Ads.

What you'd actually do

  1. Collaborate with cross-functional groups such as PM, Engineering, Sales, and Legal to drive projects that increases users' safety and provide better online experience through Google Ads.
  2. Apply advanced statistical methods and technical analysis to uncover sophisticated abuse vectors.
  3. Lead investigations into complex tactics, techniques, and procedures (TTPs) to perform actor tracking and disrupt organized fraud rings targeting Google Ads.
  4. Identify automation and efficiency opportunities and drive solutions through analysis or cross-functional partnerships.
  5. Provide periodic on-call coverage and drive the rapid response for high-severity adversarial incidents, plus conduct thorough root cause analyses (RCAs) to implement long-term structural preventions.

Skills

Required

  • SQL
  • data analytics
  • trust and safety
  • policy
  • risk analysis

Nice to have

  • Python
  • Java
  • fraud or policy investigations
  • fraud risk management
  • Internet advertising
  • e-commerce
  • business analysis
  • statistical analysis
  • machine learning

What the JD emphasized

  • protecting users from offline scams
  • use data to provide recommendations to products and devise solutions
  • optimize human review cost and efficiency
  • identifying enforcement gaps and automation opportunities
  • collaborate closely with engineers to develop algorithms and solve quality issues end-to-end

Other signals

  • Applied AI
  • machine learning
  • optimize human review cost and efficiency
  • enforcement gaps
  • automation opportunities
  • develop algorithms