Senior Frontend Engineer

Job Description

Who we’re looking for:
 

The ‘Zendesk Analytics Prototyping’ (ZAP) team is chartered to evolve Zendesk’s business intelligence framework with a focus on AI data, measurement, and ROI insights. We build fine-grained, highly curated, contextually rich datasets capturing every facet of Zendesk’s support operations—both human- and AI-driven—and develop measurements and insights that reflect the true value delivered by AI applications to our customers and their end users. Once prototyped and validated, these metrics and insights are operationalized internally and delivered externally through customer-facing reports.

We’re seeking a Senior Front End Engineer with a passion for building intuitive, data-driven reporting experiences that deliver actionable Product metrics and insights. In this role, you’ll develop embedded AI reports and standalone dashboards used by both internal teams and external customers. Working hand-in-hand with product managers, data engineers, and UX designers, you’ll translate requirements into high-quality front end solutions. By delivering robust, future-proof reporting interfaces, you’ll contribute to Zendesk’s position as a market leader in AI-driven customer support.

What you’ll be doing:

• Build and refine intuitive, AI-centric Looker dashboards and embedded reports that translate complex data into actionable insights. You’ll focus on layout, performance, and user experience to ensure a smooth, best-in-class interface.

• Work hand-in-hand with product managers, data engineers, and designers to understand the strategic vision, validate business requirements, and bring analytics-ready data to life in a compelling and scalable front end.

• Transform detailed UX and data specifications into high-quality, maintainable code. You’ll ensure adherence to front-end best practices, optimize for performance, and craft reusable components that can evolve with the product.

• Continuously test, refine, and iterate on reporting interfaces to guarantee fast load times, robust data handling, and a seamless user journey. 

• Keep a keen eye on emerging technologies and front-end frameworks to future-proof Zendesk’s reporting ecosystem. Your work will ensure that as AI products evolve, the reporting layer remains relevant, robust, and scalable.

What you bring to the role:

Basic Qualifications:

• 4+ years of front-end development experience building and maintaining high-traffic, production-grade web applications

• Deep proficiency in JavaScript, HTML and CSS, with strong knowledge of at least one modern framework (e.g. Vue.js, React)

• 2+ years experience building and customizing embedded Looker reports and dashboards

• Experience with CI/CD and delivery systems (Github Actions, Spinnaker, Jenkins)

• Proven track record of creating responsive, cross-browser compatible interfaces and troubleshooting compatibility issues

• Strong UI/UX focus with an understanding of how to optimize for performance and accessibility

• Experience building dashboards or reporting interfaces with data visualization libraries (e.g. Chart.js, D3), transforming complex datasets into clear and actionable visuals.

• Experience collaborating with back-end teams to integrate front-end solutions with APIs and microservices

• Excellent problem-solving and debugging skills, with a results-oriented mindset and attention to detail

• Understanding of the nuances of delivering a seamless user experience across browsers and devices

• Experience working closely with product managers, designers, and other cross-functional partners

• A team-first collaborative attitude that thrives in a fast-moving agile development environment

• Excellent written and verbal communication skills

• A passion for learning, keeping up to date with industry trends, and implementing best practices.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science/Information Systems or related field

• Familiarity with design systems and the ability to contribute to component libraries

• Exposure to Lean/6 Sigma principles and an understanding of CRM analytics

Our Data Stack:

ELT (Snowflake, dbt, Airflow, Kafka)

FE (Reac