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SpaceXSI (part of X/SpaceX) is seeking a Supervisor for Child Safety Operations to lead the Austin-based Child Safety analyst team. This role sits at the intersection of platform safety, legal compliance, and AI innovation, protecting users while maintaining free expression principles.
You will lead a team of analysts (including senior analysts) covering X and Grok products across morning and night shifts, ensuring consistent standards and strict SLA adherence. As the escalation layer for Child Safety, you will be hands-on with complex, urgent, and high-profile cases involving child sexual exploitation (CSE) and child sexual abuse material (CSAM), including AI-generated content. You will own NCMEC (National Center for Missing & Exploited Children) reporting decisions, ensuring every report, suspension, and action is accurate, well-documented, and legally defensible.
Key responsibilities include: leading the team's operational shift from scaled manual review toward "Automation First" appeals, model evaluations, audits, investigations, and escalations; coordinating with Safety leadership, Legal, Engineering, and Policy on high-profile cases; running the team's response to viral incidents and emerging abuse trends; partnering with Program Leads to calibrate classifiers and Grok enforcement; leading operational model evaluations and labeling work to improve Grok's detection capabilities; using SQL, Python, or LLM-powered agents to analyze operational data and drive improvements; owning dashboards and KPIs to track backlog and escalation queues; maintaining shift handovers and process documentation; and providing coaching, mentorship, and professional development to build a team of child safety subject matter experts with a defensibility mindset.
You will also partner with internal stakeholders (HR, workforce management, Legal, Policy, other Safety teams) to align on Child Safety objectives and coverage, and manage team performance end-to-end, including setting expectations, measuring results, rewarding strong performers, and addressing underperformance.
This is a fully onsite role in Austin, TX, requiring coverage across shifts (either Tuesday–Saturday or Sunday–Thursday). The role involves exposure to sensitive or graphic content, including vulgar language, violent threats, pornography, and other graphic images.
REQUIREMENTS:
- 5+ years of experience in online child safety, Trust & Safety operations, criminal investigations, or a closely related field, including 2+ years leading or supervising a team
- Proven expertise in identifying, investigating, and preventing CSAM and CSE, including grooming behaviors and risks in AI-generated content, with strong knowledge of legal obligations (such as NCMEC reporting) and industry standards for protecting minors
- Skilled in crisis and escalation management, with the ability to make sound, defensible decisions under pressure and navigate ambiguity in time-sensitive, high-impact situations
- Able to apply SpaceXSI safety policies with judgment, weighing the protection of minors against free expression in the global public square
- Proficient in data analysis with hands-on experience using LLMs, SQL, or Python to extract insights, identify emerging abuse vectors, and optimize operational performance
- Passionate about AI and automation, with an interest in leveraging technology to improve Child Safety enforcement and reduce manual workloads
- Strong communicator who can articulate business needs, write clear escalation summaries, and build relationships with Legal, Policy, Engineering, and leadership
- Active X and Grok user with a deep understanding of the platform's role as a global public square and its Safety challenges
- Lifelong learner who reflects on gaps, strives to fill them, and is curious about continuous improvement
- Team player who places the interests of the team first and balances mission accomplishment with compassion for their people
- Able to work onsite in Austin, TX, support coverage across shifts as needed, and travel occasionally to collaborate with global teams
PREFERRED SKILLS:
- Experience managing Child Safety or Trust & Safety teams at a social media or generative AI company, leveraging AI or other automation tools
- Experience collaborating with child safety organizations (such as NCMEC) and law enforcement, and using specialized detection tools or developing classifiers for CSAM/CSE
- Expertise in leading red-teaming and adversarial testing of Large Language Models to proactively identify novel abuse vectors, jailbreaks, and safety failure modes, with proven ability to translate findings into concrete improvements for enforcement systems, team processes, and platform robustness
- Experience providing human oversight and insights for scaled agentic AI operations, with abilities in prompting and evaluating LLM agents
