Experience Engineer
Role details
Job location
Tech stack
Job description
As an Experience Engineer, you will own the full arc of product experience, from the first sketch of an interaction through to a polished, tested, shipped interface. We are an AI-first organization, and we expect you to use AI tools actively in your day-to-day work, from generating and reviewing code to exploring design ideas and writing tests faster. You will blend UX thinking, frontend engineering, and quality ownership into a single role so that the people building the product are also accountable for how it feels. We believe great products come from teams who stay close to work at every stage. In this role, you will contribute to discovery, implementation, and validation rather than handoffs between them. You will collaborate closely with product managers and backend engineers to make sure the experience we build matches the experience our users need.
What you will do:
- Design and build production-ready product experiences that are accessible, performant, and maintainable.
- Own quality end-to-end: write and maintain automated tests, validate features manually before release, and treat test suites as production assets.
- Participate in UX discovery, user flow definition, interaction design, and validation with product and design partners.
- Use agentic coding tools (Cursor, Claude Code, GitHub Copilot, or similar) to accelerate development, scaffold components, write tests, and debug efficiently.
- Collaborate in code reviews, maintain frontend architecture standards, and use design systems effectively.
- Debug test and pipeline failures and apply sound judgment about risk and test strategy.
- Translate feedback from users into refined interactions.
- Work transparently: share work early, communicate blockers clearly, and support teammates across the team.
- Pair with associate experience engineers.
Requirements
Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge., * Bachelors degree in computer science, design, or a related field. Equivalent work experience is accepted in place of a degree.
- 35 years of professional experience in a role that spans frontend engineering, UX, and/or quality assurance.
- Demonstrated ability to build production-ready interfaces using modern frontend frameworks (e.g. React, Vue, or similar).
- Demonstrated experience using agentic coding tools and AI-assisted development in a professional setting.
- Experience writing and maintaining automated tests and familiarity with CI/CD pipelines.
- Working knowledge of UX principles and ability to contribute to interaction decisions and common patterns.
- Necessary certifications: None required.
- Travel is required: No.
AI Skills/Knowledge:
- Comfortable using generative AI tools (e.g. Microsoft Copilot, GitHub Copilot, ChatGPT) to assist with code generation, test writing, and UX ideation.
- Able to evaluate AI-generated outputs critically, including reviewing AI-suggested code for correctness, accessibility, and maintainability.
- Familiarity with AI-assisted design or prototyping tools is a plus.
- Open to continuously adopting new AI capabilities as they emerge in the engineering and design workflow.
Preferred Skills (a plus but not required):
- Experience contributing across all three areas of UX, frontend engineering, and quality in a single role or project.
- Familiarity with design systems and component libraries (building or consuming them).
- Experience with visual regression testing, accessibility auditing tools, or performance profiling.
- Exposure to backend systems or APIs and integration testing.
- Exposure to observability tools (LogRocket, Heap, Datadog, Sentry, etc.).
- Experience with micro-frontend architecture or monorepo tooling (Turborepo, Nx).