Partnership Trust & Safety Manager

Oversees security protocols and risk management for customer experience management, ensuring compliance with cybersecurity standards and mitigating risks across client-facing operations.

This is a trust and safety management role at Bending Spoons, a leading app developer. The role involves managing trust and safety operations for the company's apps. It is based in one of several European offices.

This Manager of Analytics at Tinder leads data-driven insights for the Trust & Safety organization, covering Safety Products, Account Integrity, Anti-Abuse, and Moderation & Ops. The role owns data integrity, improves data literacy, and drives analytics to support safety product decisions and operational efficiency.

This senior manager leads a globally distributed Identity Governance team, owning the controls, risk assessments, and compliance posture that keep Crypto.com's identity ecosystem audit-ready. The role sets direction for day-to-day work while staying hands-on with high-stakes risk assessments and stakeholder relationships.

This MLOps Engineer owns the production pipeline for all data science jobs, working closely with data science teams to build new pipelines and monitoring solutions. Responsibilities include scaling infrastructure, CI/CD ownership, and mentoring best practices. Requires 3+ years of ML model deployment experience, MLOps/data engineering skills, and familiarity with Databricks, GCP, and DevOps tools.

This newly created role owns the full brand lifecycle on impact.com's Marketplace, from onboarding and activation to engagement and re-engagement. The manager will design and execute lifecycle strategies, build scalable communications across in-app, email, and notifications, and leverage AI tools for automation. Requires 3+ years of experience in growth or lifecycle marketing, strong data analysis skills, and experience with A/B testing.

This Senior API Data Analyst role maintains a company-wide view of API usage, costs, and integration health, turning observability into actionable guardrails. The analyst automates checks across logs and data warehouses, identifies misuse and fan-out risks, and collaborates with engineering teams to set rate limits and improve integration patterns. Requires strong technical skills in data analysis and API ecosystems.