Jobs at Hinge

Leads enterprise talent acquisition strategy, team development, workforce planning, recruiting operations, forecasting, executive reporting, technology direction, employer branding, and change management. Advises executives on hiring strategy, talent markets, organizational design, internal mobility, compensation governance, and recruiting performance while building scalable, compliant, and data-driven TA operations.

Partners with senior leaders to develop talent strategies, lead full-cycle recruiting for critical roles, improve hiring processes, conduct talent mapping, and build competitive sourcing pipelines. Uses recruiting analytics, structured interviewing, AI-enabled tools, and market intelligence to improve hiring outcomes. Advises on offer strategy, stakeholder alignment, inclusive hiring, employer branding, and candidate experience across Product and Business functions.

Designs, builds, and maintains data infrastructure, ETL pipelines, data models, and analytics data warehouses. Ensures accurate data flow from creation through presentation layers and supports reporting, analytics, and machine learning initiatives. Collaborates with stakeholders to deliver data products, improves engineering tooling and pipelines, participates in on-call support, and uses cloud, containerization, orchestration, streaming, and CI/CD technologies.

Lead integrated, multi-market brand campaigns from brief through launch, shaping go-to-market plans, managing agencies, upholding creative quality, and aligning cross-functional stakeholders. Own campaign performance narratives with Growth, Analytics, and Media teams, contribute to budget allocation and annual brand planning, guide cultural partnerships, and provide brand expertise across marketing initiatives. Monitor consumer, cultural, and competitive trends while independently managing complex programs.

Lead AI strategy and technical execution for dating recommendation systems, driving real-time personalized recommendations and Generative AI integration. Own cross-functional alignment, responsible AI, team scaling, budget, and external representation while ensuring scalable delivery, evaluation, and organizational development.

Develop and maintain Android applications using Kotlin and Android SDKs. Collaborate with developers, designers, and product managers to build high-quality features, debug and resolve issues, conduct code reviews, improve codebase health, and participate in agile ceremonies. The role requires 3–5 years of Android development experience, Google Play publication experience, strong software fundamentals, effective communication, and a focus on user experience and quality.

Develop and maintain Android applications using Kotlin and Android SDKs. Collaborate with developers, designers, and product managers; debug issues; conduct code reviews; improve codebase quality; participate in agile ceremonies; communicate effectively; work independently amid ambiguity; and mentor junior engineers.

Lead an Engineering Enablement team to improve developer velocity, quality, and effectiveness by owning roadmap, building tooling and platform capabilities, treating internal platforms as products, advancing AI-native agent operability and validation infrastructure, raising technical standards, and growing engineers through hiring and coaching while partnering across engineering teams to drive measurable outcomes.

The Senior iOS Engineer will lead the iOS team, design and develop app features, ensure reliability, and collaborate across functions while navigating Apple ecosystem updates.

Lead end-to-end UX research for the Interaction product, shape the research roadmap, deliver rapid, actionable insights, partner cross-functionally with product, design, and data science, mentor other researchers, and foster a culture of empathy, rigor, and innovation.

The role involves leading and mentoring a backend engineering team, managing recommendation services, collaborating across functionalities, and ensuring high standards in code quality and system performance.

Design and implement RESTful APIs, microservices, and distributed systems. Collaborate with teams to promote inclusivity and strong communication.

Lead end-to-end improvements to recommendation systems and personalization. Partner with data science and engineering to set ranking inputs, run experiments, and measure impact while ensuring fairness, safety, and clear stakeholder communication.