Manager, Analytics (Integrity)

In this role, you will:

• Lead and Develop a Team of Data Scientists

  • Manage, coach, and grow a team of data scientists supporting the Integrity organization, owning hiring, career development, and performance.
  • Set clear ownership across the four pillars and balance your team's capacity against competing roadmap and escalation demands.
  • Raise analytical quality through hands-on technical mentorship — reviewing methodology, pairing on complex analyses, and unblocking your team on ambiguous problems.

• Serve as the Analytics Partner to Integrity Product Leadership

  • Act as the primary data science partner to the Product Team Leads for Safety Products, Account Integrity, Anti-Abuse, and Moderation & Ops.
  • Shape roadmaps by sizing opportunities, pressure-testing hypotheses, and defining what success looks like before work starts.
  • Translate ambiguous safety and abuse problems into tractable analytical questions with clear decision criteria.

• Stay Hands-On with the Data

  • Personally lead high-stakes or highly ambiguous investigations — abuse pattern shifts, enforcement anomalies, unexpected regressions in member experience.
  • Build and maintain the analytical frameworks the team relies on: prevalence measurement, enforcement precision and recall, appeal and reversal rates, moderation queue throughput and quality.
  • Retain deep fluency in the underlying data so that your reviews, estimates, and escalations are grounded in the data itself.

• Own Measurement and Experimentation for Integrity

  • Define the metrics that govern Integrity's trade-off between protection and member experience, and hold the organization to them.
  • Guide experimental design and interpretation for interventions where classic A/B testing is hard — low-prevalence outcomes, adversarial populations, and changes that cannot be ethically withheld.
  • Establish causal measurement approaches for enforcement actions, verification challenges, and moderation policy changes.

• Translate Insights into Executive-Level Narratives

  • Synthesize complex analyses into clear recommendations for Product, Engineering, Legal, Policy, and executive leadership.
  • Support regulatory, transparency, and external reporting obligations with defensible numbers and clearly documented methodology.
  • Influence decisions through structured communication, framing insights in terms of member impact, risk, and trade-offs.