Jobs at Hinge

The Senior Recruiter leads full-cycle recruitment, sourcing candidates, managing offers, and enhancing diversity initiatives. They leverage AI tools and develop metrics-driven strategies, partnering with hiring managers to align on candidate profiles and improve recruitment processes.

Lead strategy and execution for Core Services shared-platforms, coach engineering managers, improve backend platform libraries and contracts, identify cross-team reusable capabilities, drive platform adoption and measurable outcomes, partner with product and platform leaders, and raise backend engineering quality through practical systems and technical leadership.

The Senior Data Platform Engineer will design, maintain, and enhance Hinge's data platform, including data pipelines, monitoring systems, and user feedback incorporation while ensuring data quality and system reliability.

Develop and maintain machine learning models for user safety, design scalable systems, and collaborate on AI solutions while ensuring fairness. Requires strong programming and domain expertise in ML technologies.

Lead the Platform team in defining the roadmap, focusing on cloud infrastructure, automation, and improving developer experience while mentoring and fostering technical excellence.

Manage privacy requests, ensure compliance with regulations, collaborate with cross-functional teams, improve operations, and provide operational insights.

The Financial Analyst will process invoices, assist in monthly accounting close, manage capitalized labor, and analyze financial data, ensuring accuracy and compliance with vendor contracts.

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.

The role involves designing RESTful APIs, building microservices on Kubernetes, leading technical projects, and mentoring team members. Requires extensive backend experience in cloud environments.

The Head of Product & Tech Operations will oversee the product development lifecycle, drive execution and planning, lead technical program management, and operationalize innovation with a focus on AI tooling enablement.

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

Provide high-touch support to senior executives by managing complex calendars, coordinating cross-functional initiatives, preparing meeting briefs, organizing travel and leadership events, tracking action items and workback plans, liaising with external agencies, and handling confidential information with discretion.

Lead full-cycle technical recruiting for engineering, data science, and product roles. Source and build pipelines using multi-channel and AI-enabled tools, refine interview frameworks and assessments, present recruiting metrics, manage offers, and partner with stakeholders to drive inclusive hiring and strong candidate experience.

The Lead Product Manager will enhance platform experiences through design and accessibility standards, manage cross-functional collaborations, and communicate effectively across teams.

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.

The Mobile Engineering Manager will lead iOS and Android teams, oversee performance, contribute code, and develop Trust & Safety roadmaps.

The iOS Engineer will develop mobile applications using Swift, resolve software issues, engage in team collaboration, and ensure high-quality user experiences.

Develop and enhance mobile applications using Kotlin and Android SDK, collaborate across teams, and maintain code quality through reviews and issue resolution.

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.

The role involves designing and improving AI/ML platforms and operational infrastructure, collaborating with engineers and product managers, and mentoring teams on MLOps best practices.