Google LLC

Compensation

Full Description

Apply share • linkCopy link • emailEmail a friend info_outline XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: • 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 (statutory, where applicable); 5 days/event (discretionary) • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks • Baby Bonding Leave: 18 weeks • Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Washington D.C., DC, USA; Kirkland, WA, USA. Minimum qualifications: • Bachelor's degree in a technical field, or equivalent practical experience. • 8 years of experience in product management, technical program management, software development, or deployment. Preferred qualifications: • 8 years of experience managing cross-functional or cross-team projects. • Experience working with, and delaying, AI/Agentic technology. About the job Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs. In this role, you will oversee the safety integrity of autonomous AI agents across the Android platform. Your focus is to bridge the gap between technical agent capabilities and the real-world safety of billions of users. You will be responsible for identifying and mitigating the harms that arise when AI agents interact with the OS and third-party apps, ranging from system-level instability to the creation of harmful synthetic media. By developing robust detection nets and enforcement frameworks, you will ensure that agentic features do not become vectors for abuse. 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. The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities • Understand and execute ecosystem-positive strategies for agentic adoption and manage cross-product infrastructure to enable high-velocity journeys. • Develop safety-audited rules of engagement for autonomous agents performing multi-step plans on Android. • Implement least-privilege models to prevent unauthorized permission escalation or access to sensitive user data. • Build runtime monitoring to identify agentic drift, recursive loops, or adversarial hijacking attempts. • Create self-testing kits to ensure third-party Android agents include robust safety brakes and kill-switches.