The engineers at Freshworks develop client-side systems and code for user interfaces. They collaborate with engineers, architects, designers and product managers to build scalable UI systems, features and components. With increasing use of AI, engineers integrate AI-driven features and workflows to ensure data-driven, future-proof digital experiences.As a Staff Engineer focused on Web Operations, you will coach, mentor and implement complex features in websites, including robust architectures and AI-powered tools. This is a position that requires deep technical expertise as well as the ability to coach and mentor by example. You will ideate new features, improve existing functionalities, drive continuous improvement initiatives, champion engineering excellence (including AI best practices) and deliver quality products.
Please note this is a hybrid role that requires an in-office presence 3 days/week (Tuesday-Thursday).The Staff Engineer - Web Operations will: Collaborate with International Teams: Create complex integrations and features for product-marketed websites, including AI-driven insights and data pipelines for machine learning outputs. Guide UI design around AI capabilities all the while communicating seamlessly with an international set of stakeholders and team members. Understanding how to hand off and asynchronously teach complex concepts.Coach and Mentor Engineers: Provide guidance on unit testing, acceptance testing, code quality, and AI integration, such as structuring frontend code for AI-driven data.Develop Lower-Order Utilities and Modules: Create reliable utilities for higher-order components, ensuring easy interface with AI services or APIs.Guide Frontend Engineers: Assist in solving UI problems, debugging complex issues (including AI integrations), and ensuring performance standards.Train Engineers: Teach advanced concepts and new technologies, including AI-based frameworks and workflows.Evaluate Architectural Models: Ensure compliance with user, legal, and regulatory requirements (GDPR, CCPA, WCAG, Web Performance) and AI-driven data pipelines.Engage in Code Reviews: Set high standards for code quality and ensure AI-related code follows best practices for maintainability, security, and ethical use.Provide Upward Feedback: Report on technical issues, team concerns, and AI adoption readiness to team leads and managers.