- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
4 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.
- Experience analyzing online harms, including scam typologies, adversarial AI exploitation, or threat actor behavior.
Preferred qualifications:
- Master’s degree or advanced degree in Criminology, Security Studies, Public Policy, Data Science, or Behavioral Science.
- Experience with the financial crime ecosystem, payment rails, or the adversarial AI ecosystem, including jailbreak communities and prompt injection techniques.
- Experience designing and using risk frameworks and harm classification taxonomies to structure ambiguous problem spaces.
- Experience building or operating with agent skills, LLM-based analytical workflows, or other AI-assisted tooling.
- Experience using SQL to conduct data-oriented analysis and influence business decision-making by presenting insights and market trends.
Responsibilities
- Produce all-source intelligence on system abuse and fraud and scam threats targeting Google users to identify and prioritize emerging threat actor Tools, Tactics, and Procedures (TTPs).
- Partner with the Investigations team to translate ground-level findings from active casework into strategic trend analysis for leadership.
- Serve as the central analytical node to aggregate domain-specific insights into a holistic risk picture spanning both threat domains.
- Deliver analytical products, ranging from situational updates to in-depth strategic assessments, for Trust and Safety leadership and product teams.
- Build and maintain agent skills and AI-assisted tooling to scale analytical capacity and automate recurring research and signal triage.