Director of Engineering (Trust & Safety)

Requirements

• Experience: 10+ years in software engineering (distributed systems at scale) and 2+ years managing managers with a track record of scaling healthy teams,
• Technical Judgment: Strong grasp of architecture, reliability, data/ML-adjacent systems, and mobile + backend collaboration,
• Domain Expertise: Intuition for Trust & Safety domains such as abuse prevention, fraud, moderation workflows, identity, or user reporting,
• Operational Agility: Comfort operating in high-urgency environments, managing incident response without sacrificing long-term quality,
• Strategic Thinking: Relentless focus on driving user value whilst navigating regulatory requirements,
• Communication: Exceptional ability to influence across executive leadership, Legal/Policy partners, and external stakeholders,
• (Desirable) Experience partnering with AI/ML teams on detection, classification, or GenAI-related risk mitigation,
• (Desirable) Background in regulated or safety-sensitive domains (marketplaces, fintech, social platforms),
• (Desirable) Familiarity with T&S operations workflows, case management, and policy-to-product translation

What the job involves

• Trust & Safety is foundational to Hinge’s mission of helping people find meaningful connections,
• We are looking for a Director of Engineering to lead the organization responsible for protecting our community and enabling safe, authentic experiences,
• You will oversee engineers (including managers) across four product teams, partnering closely with Product, AI/ML, and Data to set strategy and ensure organizational health,
• A key component of this role is outward-facing leadership: building partnerships across Match Group and the broader industry to anticipate trends and invest in future-proof capabilities,
• Strategy & Organizational Health: Lead the Trust & Safety engineering org, defining multi-quarter roadmaps in partnership with cross-functional leadership. Hire and coach engineering managers, creating clear growth paths and fostering a culture of high standards, psychological safety, and accountability,
• Execution Excellence: Drive predictable delivery, balancing urgent risk response with long-term platform investments. Establish scalable operating rhythms for planning, technical reviews, and incident learnings,
• Technical Leadership: Provide oversight for T&S platforms (detection, enforcement, appeals, identity) and ensure strong system design for privacy-conscious workflows. Drive excellence in observability, data quality, and safety-critical development standards,
• Partnerships: Build relationships with Match Group leaders to share patterns and align on capabilities. Translate industry trends (e.g., AI threats, regulatory changes) into actionable strategy and rigorous build-vs-buy decisions,
• AI Change Management: In close partnership with Product and AI leaders, modernize enforcement and user experiences with AI-enabled workflows that are measurable, accountable, and trusted by users