Sr. Analyst, Monetization Operations

SpaceXSI•Austin, TX
•Onsite

About The Position

SpaceXSI’s Safety team protects free expression while enabling users to engage safely with the platform through policy enforcement. The team uses AI-based automation and works at a fast pace with a growth mindset. The Senior Analyst, Monetization Operations is part of the Monetization Integrity team in Safety Operations. The role owns complex ads and monetization cases and escalations on X from initial triage through root-cause analysis and resolution. It applies ads and monetization policies, makes and defends decisions on ad halts and rejections, and turns escalation findings into improvements to policies, products, and automation. The role helps protect the integrity of X’s ads business and the trust of advertisers and users. This position is on-site at the Austin, Texas office and requires coverage on either a Tuesday-to-Saturday or Sunday-to-Thursday schedule. The work may involve exposure to sensitive or graphic content, including vulgar language, violent threats, pornography, and other graphic images.

Requirements

  • At least 4 years of experience in ads operations, ads policy enforcement, Monetization Integrity, or Trust & Safety, including ownership of complex escalations end to end.
  • Experience mentoring, training, or calibrating analysts or specialists.

Nice To Haves

  • In-depth knowledge of ads and monetization products, including ad formats, premium placements, promoted content, and paid partnerships, and experience balancing platform safety with a sustainable monetization economy.
  • Ability to interpret and consistently apply policy across monetization products, surfaces, and regulated ad categories, and make defensible decisions under pressure in ambiguous, high-impact situations.
  • Strong investigative skills, including gathering account, ad, and payment history and working with resources and frameworks when guidance is incomplete or conflicting.
  • Hands-on root-cause and data analysis using SQL, dashboards, and ticketing tools such as Jira, with rigor in validating data and producing actionable recommendations.
  • Strong written and interpersonal communication skills, including clear escalation summaries and insights and relationship-building with stakeholders and leadership.
  • Commitment to continuous process improvement focused on safety and risk mitigation.
  • Active X (including Grok) user with a deep understanding of the platform’s role as a global public square.
  • Experience in Trust & Safety or ads operations at a social media or ad-tech company, using AI or other automation tools, with direct experience in ads or monetization workflows.
  • Expertise in red-teaming and adversarial testing of large language models, identifying novel ads abuse vectors, and translating findings into enforcement-system and platform improvements.
  • Experience building or running proactive detection, such as sweeps, account monitoring, or pattern-based investigations, to detect scams and policy evasion.
  • Experience with advertiser payments, billing, chargeback operations, or legal and regulatory escalations.
  • Experience designing or improving escalation workflows, SOPs, quality programs, or tooling at scale.
  • Experience providing human oversight and insights for scaled agentic AI operations, including prompting and evaluating LLM agents.

Responsibilities

  • Own complex advertiser and monetization cases, quality matters, and escalations end to end as the team’s senior escalation point; triage, investigate, decide, document, and resolve leadership, high-priority, time-sensitive, and Sales or account-team escalations.
  • Apply Monetization Integrity policy precisely across sensitive and regulated categories, balancing advertiser experience and a healthy ads business with user safety and platform integrity; provide recommendations on gray-area cases and adapt to changing policies and workflows.
  • Conduct evaluations, labeling, and quality assessments of monetization-related cases and content, and provide feedback to improve detection, model performance, enforcement, and workflow quality.
  • Analyze operational data using query languages such as SQL, Jira, and dashboards to monitor queue health and KPIs, investigate anomalies, identify trends, abuse patterns, and advertiser pain points, and provide validated insights and recurring reports.
  • Perform root-cause analysis to identify policy gaps, enforcement or automation errors, communication breakdowns, and tooling or product bugs; report reproducible issues and drive improvements with stakeholders.
  • Partner with supervisors on data-backed process and workflow improvements, including SOPs, templates, routing, intake, and handoffs; maintain process documentation and automate repetitive work using batch actions and AI-assisted workflows.
  • Mentor and calibrate specialists, run case and quality reviews, share best practices, maintain effective shift handovers, and provide constructive feedback.
  • Perform other duties and responsibilities as required by business need.
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