Manager, Ads and Shopping, Trust and Safety, Content
Technology, Data & Digital · Data, AI & Analytics · Data Science · Cybersecurity · Product Management
In short
Lead a team focused on protecting Google's users and products from abuse and fraud, specifically in Ads and Shopping content. This role involves architecting the roadmap for global ads defense, leading strategic cross-functional initiatives, and fostering a culture of continuous learning and psychological safety within the team.
Responsibilities
- Architect the roadmap for global ads defense.
- Oversee the deployment of analytical frameworks and fraud-detection methodologies to proactively identify and mitigate content that violates Google Ads policies.
- Stay one step ahead of evolving adversarial tactics.
- Lead strategic cross-functional initiatives by partnering with executive stakeholders across product, engineering, legal, Public Relation (PR), and public policy.
- Influence long-term technical roadmaps, roll out policy updates, and ensure safer-by-design product features.
- Forge and scale a team of subject matter experts.
- Advocate a culture of continuous learning and psychological safety.
- Ensure your team remains resilient and high-performing while navigating the rapid pace and sensitive nature of global ads content and policies.
Requirements
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in data analytics, Trust and Safety, policy, cybersecurity, business strategy, or related fields.
- 8 years of experience in business strategy, technology research, anti-abuse, policy, data analytics, cyber-security, program management or related fields.
- 2 years of experience in people management, leading teams.
- English proficiency is a requirement.
Desired Qualifications
- Master's degree or PhD in a relevant field.
- Education in, or experience with, machine learning.
- Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g. Python).
- Experience working with engineering and product teams to create tools, solutions, or automation to improve user safety.
- Experience working closely with policy teams.
- Ability to translate complex data analyses and emerging abuse trends into actionable business strategies for non-technical stakeholders and leadership.
Benefits
- Equity is granted exclusively and discretionarily by Alphabet Inc.
#ads#shopping#trust and safety#content#data analytics#cybersecurity#business strategy#policy#machine learning#SQL#Python#fraud detection#public policy
Company
Job Posted
1 week ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Senior
Locations
Hyderabad, India
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant