Moloco

Moloco

Senior Director, Business Integrity Lead

Menlo Park, California, United States · Director

Sponsorship not specified$276k-$345kDetected 2 days ago
Machine LearningA/B TestingDetection EngineeringPerformance MarketingCadenceFDA RegulatoryLeadershipCommunicationMentoring

About the role

  • In this role, you will have a role operating at the center of business decisions, influencing how Moloco scales responsibly across new markets and products.
  • As the leader of the Business Integrity function, you will be responsible for:
  • Behavioral pattern analysis and bad actor identification-detecting fraud rings, account takeovers, and re-entry attempts

Responsibilities

  • Moloco is looking for an exceptional leader to build and lead our Business Integrity function from the ground up.
  • You will own the strategic, operational and enforcement layer that protects our platform from fraud, abuse, and policy violations.
  • You will drive proactive detection, prevention, and enforcement of policies and processes to protect Moloco's platform and its users while navigating a complex regulatory landscape.
  • You will build a world-class team, establish policies from first principles, and create the systems and processes that define how Moloco maintains platform integrity at scale.
  • Account suspension, termination, and partner enforcement decisions with clear appeals and remediation processes
  • We take care of you and create the conditions for you to do the best work of your career.
  • Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
  • Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.

Requirements

  • Product or technical background and credibility with engineering and product teams-you can translate business problems into technical solutions and make informed tooling decisions
  • Experience in AdTech, performance marketing, or platforms with two-sided networks (advertisers + publishers)
  • Experience with AI/ML-driven processes, including detection and automation
  • Deep experience partnering with Product, Engineering, and Security teams in fast-moving environments
  • Experience leading through regulatory inquiries, audits, or enforcement actions
  • Proactive and detail-oriented mindset with a track record of managing global initiatives and driving cultural change

Skills

  • 15+ years in Trust & Safety, Fraud Prevention, Compliance Ops, Law Enforcement, or equivalent discipline
  • Deep understanding of bad actor tactics, evasion techniques, and how to identify and prevent abuse patterns
  • Experience designing policies, proactive detection systems, workflows, monitoring cadence, and enforcement processes at scale

Compensation

  • For base pay range purposes, location-based compensation is grouped into the following regions.
  • Salary Ranges:
  • $276,000 - $345,000 USD
  • $262,400 - $328,000 USD
  • $248,400 - $310,500 USD

Benefits

  • U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, basic life insurance, and well-being benefits and perks.
  • Additionally, all employees have Flexible Time Off (FTO).
  • The successful candidate may be eligible for a bonus and equity awards.
  • Moloco Thrive: Benefits and Well-Being:
  • Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Company info

  • This is a unique opportunity to shape the trust & safety infrastructure for an AI-native performance advertising platform serving millions of advertisers and publishers globally.

This listing is sourced directly from Moloco's careers page and normalized into a canonical job model.