We are looking for a senior UI & SDK Web engineer to join our Web Observability team, responsible for both our dashboard UI (React + TypeScript) and our Web RUM SDK built on OpenTelemetry. This is a hybrid role that bridges product development and observability infrastructure - ideal for someone who’s as comfortable designing frontend components as they are contributing to open-source SDKs.
You’ll work on internal tools, developer-facing dashboards, and high-performance instrumentation libraries—all aimed at helping the world’s best engineering teams understand and improve web performance. You’ll also have the opportunity to collaborate with the OpenTelemetry community and influence the future of web observability standards.
What You’ll Do- Contribute to both the dashboard UI and Embrace Web SDKs used by our customers and internal teams
- Build performance monitoring and diagnostics tools for modern web applications
- Help shape our SDK design and upstream contributions to OpenTelemetry
- Collaborate with Product, Design, and Engineering teams to deliver user-friendly, data-rich experiences
- Partner with Customer Success to incorporate feedback from developers using our SDKs and dashboards
- Establish best practices for code quality, modularity, testing, and observability
- Deep proficiency in TypeScript, including advanced type system features
- Strong experience with React and modern frontend architectures
- Familiarity with browser internals (e.g., performance APIs, Web Vitals, event loop behavior)
- Experience building or maintaining client-side SDKs or instrumentation tools
- Strong advocate for testing, with experience using tools like Jest and Playwright/Cypress
- Comfort debugging and optimizing both applications and libraries
- Excellent verbal and written communication skills
- Experience using Git and modern CI/CD workflows
- Experience with OpenTelemetry or other observability frameworks
- Contributions to open-source projects in the JavaScript/TypeScript ecosystem
- Familiarity with browser privacy, data collection consent, and sampling strategies
- Experience designing developer APIs or libraries for long-term stability
- Experience with data visualization libraries like Recharts and D3
- Interest in performance profiling, memory leak detection, and low-level browser behavior
- A love of Star Wars (or maybe Star Trek)
We are a remote-first company. This role is open to candidates located anywhere in the U.S. or Canada. We believe in regular in-person connection and expect travel for team offsites and collaboration to be approximately once per quarter.
The cash compensation for this role is in the $135k-165k range. In addition to base comp for this role, we offer equity in the form of options, a variety of benefits, and the opportunity to grow in an exciting and collaborative environment. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.
Skills Required
- Deep proficiency in TypeScript
- Strong experience with React
- Familiarity with browser internals
- Experience building client-side SDKs
- Strong advocate for testing
- Excellent verbal and written communication skills
- Experience using Git and CI/CD workflows
What We Do
Embrace is the only observability and data platform built for mobile. Companies, including GOAT, Hilton, P&G, Owlet, and Home Depot, partner with Embrace to observe, proactively analyze, and access the unique datasets of phones, tablets, point-of-sale systems, IoT, cars, and other devices. Their entire teams, whether engineering, marketing, or business intelligence, use Embrace to create and optimize the experiences of their end-consumers and workforces. Mobile is a unique challenge for mobile teams, who must now think in terms of millions of autonomous devices with an infinite variation of user and environmental variables. Embrace unlocks the value by consuming 100% of the user-behavioral and technical time-based session data. Teams now have real-time observability for product and engineering and automated analysis of now usable and transformed datasets for marketing and BI.
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