# Product Manager, Trust & Safety

**Company**: Scale
**Location**: New York, NY; San Francisco, CA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $240,000-$300,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/scaleai/jobs/4692308005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_172ac1f1-f11

## Description

We're looking for a senior Product Manager to lead Trust & Safety at Scale. This is a high-autonomy, high-impact role. You will own the product strategy for fraud detection, prevention, and remediation across our contributor ecosystem , building the systems that protect our platform from abuse while preserving a fair, transparent experience for legitimate contributors.

T&S at Scale intersects every part of the contributor lifecycle: onboarding, task assignment, quality assessment, and payments. The scope is global, the adversaries are sophisticated, and the stakes are real. This role requires deep domain expertise in fraud and trust & safety.

You will set the vision for moving T&S from a reactive, fire-fighting posture to a proactive, intelligence-driven function with scalable detection and prevention infrastructure.

Key Responsibilities:

- Set the product vision and strategy for Trust & Safety at Scale, shifting the function from reactive incident response to proactive, intelligence-driven fraud prevention

- Own the product roadmap for fraud detection, prevention, and remediation systems , including the Risk Engine, data signals intelligence, anomaly detection, and contributor investigation tooling

- Build a balanced approach to fraud mitigation and growth protection , ensuring T&S interventions don’t unnecessarily throttle the contributor funnel or create friction for legitimate users

- Investigate and deeply understand contributor behavior patterns to identify emerging fraud vectors before they become material

- Drive cross-functional alignment across Ops, EPD, Finance, and executive leadership , independently handling escalations, stakeholder conflicts, and weekly fire drills without requiring constant HM involvement

- Translate complex fraud patterns into clear product requirements for engineering, and partner with data science to build and improve detection models

- Build long-term instrumentation, monitoring, and evaluation capabilities to measure fraud rates, false positive rates, contributor impact, and financial exposure

- Establish business cases quantifying fraud losses and ROI of prevention investments to secure resources and prioritize effectively

- Partner with Finance and Delivery Ops leadership to manage the financial impact of fraud on business profitability

Requirements:

- 8–12 years of experience in Product Management in the tech industry, with at least 3–4 years leading Trust & Safety, Fraud, or Risk product teams

- Deep domain expertise in fraud (not security) , specifically consumer product fraud, marketplace fraud, or contributor/gig-economy fraud. FinTech/payments fraud alone is not sufficient; we need someone who understands platform-level abuse and adversarial user behavior

- Track record of building T&S systems at consumer-facing marketplace companies (e.g., Uber, DoorDash, Airbnb, eBay, Instacart) or similar high-growth platforms with global contributor/user bases

- Proven ability to balance fraud mitigation with growth protection , you’ve made hard tradeoff decisions between blocking bad actors and preserving good UX

- Exceptional stakeholder management skills , you’ve navigated complex orgs with Ops, Engineering, and leadership stakeholders who have competing priorities and strong opinions. You handle escalations, build trust, and drive alignment independently

- Strong analytical capabilities , you can investigate contributor behavior data, define fraud metrics, and build detection logic. High proficiency in SQL

- Experience setting ambitious product vision and executing against it , you’ve moved a function from reactive to proactive

- Bachelor’s or advanced degree in a quantitative, engineering, or related discipline

Nice to Have:

- Experience building T&S systems with global/international coverage across diverse contributor populations

- Understanding of AI-enabled fraud vectors and how adversarial behavior evolves as AI capabilities improve

- Experience with contributor/gig-economy platforms specifically (not just consumer marketplaces)

- Experience working at early-to-growth-stage companies where T&S was being built or rebuilt from scratch

## Skills

### Required
- fraud detection
- trust and safety
- product management
- data analysis
- SQL
- fraud prevention
- risk engine
- data signals intelligence
- anomaly detection
- contributor investigation tooling

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/scaleai/jobs/4692308005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)