Launch Manager, Google Play Trust and Safety

Google; Austin (TX); Hybrid; USD 116,000 - 166,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid Time Off

Sick time

Maternity leave (disability + bonding)

Baby Bonding Leave

13 holidays

Job summary

Google seeks a Launch Manager within the Trust & Safety Operations Excellence team to lead the deployment of AI app review agents across Trust and Safety. You will guide projects from initial prompt creation and tuning to production deployment and post-launch monitoring.

You are a rigorous problem-solver and meticulous project manager who ensures all launch requirements are met on time while maintaining AI quality and operational readiness.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in data analytics, trust and safety, policy, cybersecurity, or related field.

Responsibilities

• Drive end-to-end program management for LLM and AI classifier launches in Google Play trust and safety, partnering with product, engineering, policy, and operations.
• Coordinate cross-functional launch readiness by unblocking dependencies, securing approvals, and ensuring policy and documentation requirements are fully met prior to production.
• Implement post-launch operational excellence and quality assurance, leading initial incident investigations for metric breaches and collaborating on policy or prompt adjustments.
• Oversee vendor resourcing requests to facilitate human evaluation, dataset app sampling, and ground-truth labeling for AI decision ratings.
• Establish ongoing maintenance and operational support pipelines, continuously refine evaluation workflows to enhance AI classifier accuracy and performance.

Skills

Data analytics

Trust and safety

Policy

Cybersecurity

Cross-functional collaboration

Communication skills

Prompt engineering awareness

Education

Bachelor's degree or equivalent

Tools

LLMs

Prompt tuning

Job description

In 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 (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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Austin, TX, USA.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in data analytics, trust and safety, policy, cybersecurity, or a related field.

Preferred qualifications

• 2 years of experience in AI/ML operations.
• Experience working with Large Language Models (LLMs) or prompt engineering.
• Experience in content policy, anti-abuse, and reviewing online content.
• Ability to work well in a cross-functional team environment with a focus on knowledge sharing and collaboration.
• Excellent communication and presentation skills (written and verbal) and the ability to influence cross-functionally at various levels.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

About The Job

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 a Launch Manager within the Operations Excellence team, you will direct the successful deployment of AI app review agents across various Trust and Safety verticals. You will serve as the central partner for cross-functional coordination, guiding projects through a multi-step launch playbook—from initial prompt creation and prompt tuning, all the way to production deployment and post-launch monitoring.

You are a resolute problem-solver and a meticulous project manager who ensures all launch requirements are met on time, while simultaneously maintaining our high standards for AI quality and operational readiness.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $116000 - $166000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Drive end-to-end program management for LLM and AI classifier launches in Google Play trust and safety, partnering with product, engineering, policy, and operations to maintain strict timelines and align with executive OKRs.
• Coordinate cross-functional launch readiness by proactively unblocking dependencies, securing steering committee approvals, and ensuring all policy and documentation requirements are fully met prior to production.
• Implement post-launch operational excellence and quality assurance, leading initial incident investigations for metric breaches and collaborating on policy or prompt adjustments.
• Oversee vendor resourcing requests to facilitate human evaluation, dataset app sampling, and ground-truth labeling for AI decision ratings.
• Establish ongoing maintenance and operational support pipelines, continuously refine evaluation workflows to enhance AI classifier accuracy and performance.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .