Director, Trust & Safety Detection and Intelligence

Fetch•Remote,

8d•$176,323 - $207,439

About The Position

Fetch is building the world’s most rewarding shopping experience, helping millions of consumers turn everyday purchases into value. As our platform grows, protecting the integrity of our ecosystem is critical to maintaining trust with users, partners, and the business. The Trust & Safety Detection & Intelligence team is responsible for identifying, investigating, and disrupting fraud, abuse, and other threats across Fetch’s platform. This team combines investigative rigor, data-driven analysis, detection development, automation, and cross-functional strategy to understand emerging risks and drive scalable anti-abuse solutions. As the Director, Trust & Safety Detection & Intelligence, you will lead the strategy, operating model, and execution systems for Fetch’s core fraud detection and threat intelligence function. You will be accountable for how Fetch detects emerging abuse, investigates complex threat activity, prioritizes risk, develops durable controls, and translates intelligence into product, policy, operational, and enforcement improvements. You will partner with senior leaders across Product, Engineering, Data Science, Operations, Legal, Policy, GTM, Revenue, and other Trust & Safety functions to ensure Fetch can identify and respond to sophisticated abuse patterns with speed, accuracy, and strategic clarity. This role is ideal for a leader who can scale high-performing teams, build durable detection and intelligence systems, and influence company-level decisions that protect Fetch’s users, partners, and platform trust.

Requirements

10+ years of experience in fraud detection, investigations, threat intelligence, trust & safety, risk operations, cybersecurity, data analysis, or a related field, including leadership of complex programs with measurable business impact.
5+ years of people leadership experience managing senior analysts, investigators, technical ICs, or operational teams and developing high-performing leaders.
Proven experience building or scaling detection and intelligence operating models, workflows, quality standards, reporting systems, and performance metrics.
Strong analytical and technical fluency with large datasets, dashboards, SQL or SQL-like querying, case management and detection systems, and analytical tooling, including designing, writing, testing, tuning, and evaluating fraud rules or other detection logic.
Track record of partnering across Product, Engineering, Data Science, Operations, Legal, Policy, and business teams to deliver scalable anti-abuse or risk mitigation solutions.
Strong executive communication and judgment, with the ability to define ambiguous problems, align stakeholders, explain risk tradeoffs, and recommend clear action.

Nice To Haves

Leadership experience in fraud detection, threat intelligence, marketplace integrity, payments risk, loyalty or rewards abuse, cybersecurity, or a related risk domain.
Experience building detection systems, investigative workflows, escalation frameworks, automation, or operational playbooks in a scaled environment.
Familiarity with rules-based detection, Python, graph analysis, anomaly detection, machine learning-assisted workflows, or similar analytical methods.
Track record of identifying emerging abuse patterns early and translating intelligence into product, policy, operational, partner, or enforcement improvements.
Experience influencing senior leaders and balancing investigative depth, operational speed, enforcement quality, user trust, partner impact, and business objectives.
Experience with capacity planning, roadmap prioritization, tooling investment, or budget ownership for a growing function.

Responsibilities

Lead the Trust & Safety Detection & Intelligence function, setting strategy, priorities, operating rhythms, success metrics, resource plans, and quality standards.
Build scalable systems to identify, assess, and respond to fraud, abuse, coordinated activity, policy evasion, incentive manipulation, account abuse, and emerging threats.
Own the detection rules layer and the binding fraud determination, setting and prioritizing detection and ML requirements and deciding whether observed behavior constitutes fraud or abuse.
Connect detection and intelligence priorities to business outcomes, including rewards economics, revenue integrity, partner trust, user trust, enforcement quality, and the safe scalability of Fetch's platform.
Drive the development and continuous improvement of detection logic, dashboards, analytical methods, automation, and analyst workflows to improve coverage, precision, and speed, applying machine learning and automation to signal discovery, triage, detection quality, and analyst productivity where it measurably improves outcomes and validating accuracy before any enforcement is automated.
Oversee complex investigations and intelligence programs that produce actionable findings and executive-ready risk assessments, and partner across Product, Engineering, Data Science, Operations, Legal, Policy, Product Risk, and Partner Integrity to translate them into durable product, policy, operational, and enforcement improvements.
Establish performance measures for detection quality, investigation outcomes, enforcement impact, detection lag, operational health, and residual risk, and develop senior analysts, investigators, and future leaders against high standards for rigor, documentation, decision-making, and escalation.
Partner across Product, Engineering, Data Science, Operations, Legal, Policy, Product Risk, and Partner Integrity to translate intelligence into durable product, policy, operational, and enforcement improvements.
Develop senior analysts, investigators, and future leaders while establishing high standards for investigative rigor, documentation, decision-making, escalation, and stakeholder communication.