RCS Business Messaging Analyst, Trust and Safety
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Job Description
RCS Business Messaging Analyst, Trust and Safety at Google
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 (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: Kirkland, WA, USA; Austin, TX, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 7 years of experience in data analytics, Trust and Safety, policy, anti-abuse messaging solutions, fraud/abuse investigations, risk management or a related field.
Preferred qualifications:
- Experience with building anti-abuse messaging solutions either in a technical or product capacity.
- Experience performing fraud/abuse investigations, risk management, security and threat analysis in the context of internet, telephony or communication related products.
- Experience in Operations and Trust and Safety.
- Experience in data analysis, tools and processes for building ML reputation models.
- Ability to influence cross-functional stakeholders and executive leadership with excellent communication and presentation skills.
- Excellent problem-solving and critical thinking skills with attention to ever changing abuse landscape.
About The Job
The Rich Communication Services (RCS) for Business Messaging (RBM) Spam and Abuse team works on preventing abuse with-in the RBM ecosystem (business-to-user, and user-to-business) think millions of businesses (SMB and Enterprises) interacting with billions of users.
We are responsible for keeping our partners safe from malicious content (phishing, malware, scams) and unwanted interactions (spam). Over the next few years, we intend to double down and scale up the protections across the ecosystem, in strong partnership with product and engineering teams, with a focused goal of derisking RCS value to the business ecosystem overall.
In this role, you will understand the user's point of view and be passionate about using your technical, investigative, and strategic acumen to protect our users. You will work globally and cross-functionally with Google Engineers and Product Managers to navigate challenging online safety situations and manage abuse and fraud at Google scale.
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.
Responsibilities
- Identify business-to-users and users-to-business threats, working cross-functionally to design and build anti-abuse protections, influence safer-by-design product features, and advise on counter-abuse strategies and emerging trends.
- Analyze data and emerging trends to identify new signals for scaled enforcement, leading projects to increase the adoption of AI/ML to improve operational efficiency and effectiveness.
- Design and operate the full Trust and Safety funnel of review, enforcement, and appeals workflows; this includes ensuring effective policy implementation by drafting guidelines for reviewers and overseeing review and enforcement quality.
- Provide abuse and policy expertise to Product, Engineering, and other cross-functional teams to support the development of automated enforcement solutions.
- Monitor ecosystem performance against key metrics, investigate anomalies in spam trends to identify root causes, manage industry partner-experience trends, and manage executive escalations by providing timely, data- and content-driven insights.
Compensation
The US base salary range for this full-time position is $132,000-$194,000 + 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.
Equal Opportunity Employer
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.
Key skills/competency
- Trust and Safety
- Anti-abuse Messaging
- Fraud/Abuse Investigations
- Risk Management
- Data Analytics
- Policy Implementation
- AI/ML Models
- Cross-functional Collaboration
- Threat Analysis
- Ecosystem Monitoring
How to Get Hired at Google
- Research Google's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight experience in Trust & Safety, anti-abuse messaging, and data analytics relevant to Google's RBM ecosystem.
- Showcase problem-solving: Prepare examples demonstrating your critical thinking, investigative skills, and ability to handle challenging online safety situations.
- Demonstrate technical acumen: Be ready to discuss your experience with ML reputation models, data analysis tools, and building anti-abuse solutions.
- Network strategically: Connect with current Google employees in Trust & Safety or related product/engineering roles on LinkedIn for insights and potential referrals.
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