Beranda Job Details
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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Senior Product Manager, Agentic Safety (AI & Security)

Google
Bali, Indonesia (Remote - Canggu, Ubud, Denpasar, Jimbaran, Nusa Dua, Kuta, Badung)
Salary Estimate
Rp 700.000.000 – Rp 1.200.000.000
Newest
Live Update
14 Juli 2026
Deadline
14 Jul 2027

job description

Join Google as a Senior Product Manager for Agentic Safety and shape the future of AI security in the world's largest app ecosystem. In this high-impact role, you'll lead a multi-year strategy to protect billions of users while enabling cutting-edge AI innovation across Google's platforms. Based in Bali (with remote flexibility across Canggu, Ubud, Denpasar, and other key locations), you'll collaborate with global security experts, AI researchers, and product teams to develop next-generation safety frameworks for autonomous AI agents.

This is a rare opportunity to work at the intersection of AI, cybersecurity, and product innovation, where your decisions will directly influence how Google balances rapid AI advancement with robust safety protocols. You'll drive initiatives that prevent misuse, ensure compliance with global regulations, and maintain user trust in an evolving threat landscape. With access to Google's unparalleled resources and a culture that values bold thinking, you'll have the chance to make a tangible difference in how the world interacts with AI.

Ideal candidates will have a proven track record in AI product management, security engineering, or risk mitigation, with experience navigating complex technical and ethical challenges. If you're passionate about building secure, scalable AI systems and want to work in one of the world's most dynamic tech environments while enjoying Bali's vibrant culture, we'd love to hear from you.

Note: This role offers hybrid/remote flexibility with occasional travel to Singapore or other Google APAC hubs.

Responsibility

  • Define and execute a multi-year roadmap for Agentic Safety across Google's app ecosystem, balancing innovation with security imperatives
  • Lead cross-functional teams (AI researchers, security engineers, legal/compliance) to develop and implement safety frameworks for autonomous AI agents
  • Design and operationalize risk assessment models to identify and mitigate potential AI misuse scenarios before deployment
  • Collaborate with Google's Trust & Safety teams to establish global safety standards for AI-powered products and services
  • Drive product requirements for safety-critical AI features, ensuring alignment with Google's AI Principles and emerging regulations
  • Develop metrics and KPIs to measure the effectiveness of safety protocols and communicate progress to executive leadership
  • Represent Google in industry forums, working groups, and with regulators to shape the future of AI safety standards
  • Mentor junior product managers and engineers on best practices for secure AI product development

Qualifications

  • 8+ years of product management experience, with at least 3 years focused on AI, security, or risk mitigation products
  • Proven track record of shipping complex technical products at scale, preferably in AI/ML or cybersecurity domains
  • Strong technical foundation with understanding of AI/ML systems, security protocols, and risk assessment methodologies
  • Experience navigating regulatory landscapes (e.g., GDPR, AI Act) and translating compliance requirements into product features
  • Exceptional stakeholder management skills, with ability to influence executives and technical teams alike
  • Familiarity with Google's AI Principles or similar ethical AI frameworks
  • Excellent communication skills, with ability to distill complex technical concepts for non-technical audiences
  • Bachelor's degree in Computer Science, Engineering, or related field (Master's or PhD preferred)

Required Skills

AI product management security engineering risk assessment cross-functional leadership technical product development regulatory compliance stakeholder management AI ethics machine learning fundamentals cybersecurity principles data privacy strategic roadmapping Agile methodologies Jira Confluence Python (basic) SQL

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