Strategic Operations Lead, Trust and Safety

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

As the Strategic Operations Lead (Workflow and Governance), you will architect the global infrastructure that enables our third-party operations and AI initiatives to scale safely. Managing the high-stakes intersection of trust and safety, AI ethics, and external vendors, you will lead the transition from legacy governance models into an AI-first engine that drives measurable outcomes.

This is a role for a high-agency Strategic Lead who can navigate extreme ambiguity and design the new "Gold Standard" for operational readiness. You are the bridge between executive outlook and tactical execution, ensuring every initiative aligns with internal safety principles and global regulations while maintaining total visibility across the trust and safety ecosystem.At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Ireland: €138000 - €141000 (EUR) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

• Lead the global implementation of an automated intake process and co-architect human-in-the-loop exception safety nets and human-over-the-loop model auditing frameworks.
• Transition from manual queue audits to proactive, risk-tiered process controls, enforcing strict standards across AI-first and hybrid operational models.
• Serve as a proactive "design partner" for Director-level stakeholders, challenging foundational assumptions and guiding internal partners through complex internal approvals for new services.
• Build and maintain an operational intelligence hub that synthesizes horizontal ecosystem signals into actionable blueprints, utilizing Key Performance Indicators (KPIs) to measure the health of the launch process
• Transform broad leadership directives into actionable operational blueprints, milestones, and deliverables, while driving strategic alignment across cross-functional teams.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in solutions consulting or program management within a technical environment.
• Experience leading cross-organizational transformations, architecting the move away from legacy governance models towards automated, hybrid, or AI-driven solutions.

Preferred qualifications:

• Ability to manage conflicting priorities, driving pragmatic decisions to deliver continuous improvement.
• Ability to work independently as a strategic advisor and create operational blueprints.
• Excellent executive-level systems design skills, with the ability to co-architect human-in-the-loop exception pipelines.
• Excellent communication skills with the ability to influence across multiple levels and regions.
• Strong problem solving thinking, with the ability to work with AI-first frameworks and data provenance.
• Excellent critical thinking skills with attention to detail in a dynamic environment.