You will own the design of the Courses product experience, collaborating with cross-functional teams to build engaging web and mobile interfaces. Your role involves crafting high-quality designs, developing interactive prototypes, and ensuring design-to-code alignment throughout the implementation process.
Chess.com
17 Remote Job Openings at Chess.com
Own the full lifecycle of the search and analytics data platform, including cluster architecture, performance tuning, and capacity planning. Manage incident response and reliability for massive-scale Elasticsearch and OpenSearch clusters running on bare-metal Kubernetes.
Own the end-to-end conversion copy for member onboarding, monetization flows, and lifecycle marketing to drive revenue and engagement. Partner with growth and product teams to create data-driven ad creative and maintain a consistent brand voice across all platforms.
Develop and maintain the flagship Android application for millions of global users while designing a shared codebase architecture for efficiency. Collaborate cross-functionally to translate business requirements into high-performance technical solutions and optimize application scalability.
Define and evolve the Chess.com brand identity and visual style to transition the brand toward a more playful and entertainment-focused image. Lead the design and art direction of global marketing campaigns, product launches, and performance advertising across multiple channels.
The role focuses on uncovering growth and retention drivers through exploratory analysis of player behavior and user lifecycles. It involves collaborating with cross-functional teams to design, ship, and evaluate product experiments and A/B tests.
Translate user interfaces and marketing campaigns for various Chess.com applications. Review and ensure the high quality of previously submitted translations for Tamil-speaking users.
Translate user interfaces, marketing campaigns, and game analysis for various Chess.com applications. Review and edit graphical assets and previously submitted translations to ensure high quality.
Develop and maintain AI-first technologies and service-based architectures to enhance user-to-user interactions. Responsibilities include coding, performing code reviews, and shipping applications to Kubernetes for millions of users.
Lead a lean team of data scientists to develop novel algorithms and models that enhance the chess user experience and ensure fair play. Partner with cross-functional teams to translate data insights into product features and strategic decisions.
Own the design of core Chess.com experiences, including gameplay, puzzles, and learning features across web and mobile. Partner with product and engineering teams to define problems and implement polished, intuitive interfaces using the company's design system.
Shape the core product roadmap and vision to increase engagement and retention for Chess.com players of all levels. Partner deeply with engineering to drive technical execution and use data to prioritize features and run experiments.
Manage the daily operations and content strategy for Chess.com's official Italian social media channels to drive engagement and growth. Monitor global chess trends and collaborate with internal teams to execute brand-aligned campaigns.
The Site Reliability Engineer will design and implement resilient infrastructure for a global gaming platform, ensuring high availability and performance for millions of users. They will also lead cloud migration strategies and own incident response procedures.
Shape the AI/ML roadmap and vision to enhance user learning and engagement through products like Game Review and personalized coaching. Partner deeply with engineering to define technical approaches, write specifications, and drive the execution of AI-powered features.
Lead and unify B2B revenue efforts by integrating product, content, advertising, and partnerships into a cohesive commercial strategy. Drive high-value business development and manage the commercial performance across the entire Chess.com ecosystem.
The role involves owning ML-driven product features from identification through modeling, deployment, and impact assessment, while partnering with cross-functional teams to define success metrics. Responsibilities also include designing and shipping scalable ML systems, shaping ML architecture and MLOps practices, and driving innovation in Generative AI.