Product Management

Product Management

Senior Product Manager — Fraud Risk Platforms — Remote (Worldwide)

Develop risk-resolution platforms that improve decision speed, reduce operational work and preserve clear, auditable outcomes.

Vacancy details

This is a private vacancy. Company details stay confidential until InVault confirms a serious candidate fit.

Status
Active
Date posted
2026-10-12
Open until
2027-01-10
Employment type
Full-time
Source-listed languages
Not specified
Language requirement
No mandatory language inferred
Work arrangement
Remote
Physical workplaces
Not specified
Applicant eligibility
Worldwide
Arrangement scope 1
Vacancy-wide (no geographic assertion): Remote

Location and working arrangements

Applicant eligibility: Worldwide

  • Vacancy-wide (no geographic assertion): Remote

Overview

The role supports an online-gaming technology operation. The product remit covers how risk cases move from intake to resolution. Different cases may be suitable for automation, AI assistance, customer self-service or human review, and the roadmap needs to reflect those differences. The manager studies operational work with risk teams and turns findings into requirements, acceptance criteria and measurable initiatives. Case states, routing, priorities and evidence all form part of the product experience. Engineering, data science and compliance partners help ensure that changes improve efficiency while preserving decision quality and the ability to explain outcomes.

Requirements

  • Relevant degree or equivalent background and at least seven years in product management.
  • Fraud, risk, trust-and-safety or operational automation experience.
  • Track record delivering complex product initiatives.
  • Strong analysis, prioritisation and senior stakeholder influence.
  • Experience translating cross-functional needs into scalable solutions.

Responsibilities

  • Own the roadmap for risk-case decisioning and resolution.
  • Define case lifecycles, queues, routing and resolution paths.
  • Prioritise automation using operational data.
  • Lead discovery and delivery across technical and control teams.
  • Measure decision quality, workload and cost outcomes.

Conditions

  • Full-time fully remote employment.