Principal Experience Engineer

Precisely US Jobs

1d•Remote

About The Position

Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. 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. This position is 100% remote anywhere in the US. This is a role for engineers who want to shape how software gets built. As a Principal Experience Engineer, you will help define, drive, and own the Agentic SDLC system that powers Experience Engineering — the workflows, tools, and guardrails our engineers use every day to ship with AI. You will stay at the leading edge of agentic SDLC, bring the best practices back in, and evolve our system so engineers move faster without trading away quality or craft. You will also partner closely with UX, UI, and QA Principal Architects to turn their direction into real outcomes — working hands-on with teams to unblock delivery, guide implementation, and make sure standards show up in the product, not just the doc. We are an AI-first organization, and this role is at the center of how we get there.

Requirements

Bachelor’s degree in Computer Science, Design, or a related field; equivalent work experience is accepted in place of a degree
8+ years of professional experience across frontend engineering, experience design, and quality, including work across multiple teams
Demonstrated ability to build and guide development of production-ready interfaces using modern frontend frameworks (e.g. React, Vue, Angular, or similar)
Strong experience with automated testing approaches and maintaining quality within CI/CD pipelines
Strong understanding of user experience and the ability to guide teams toward consistent, usable outcomes
Demonstrated experience using AI-assisted development tools in a professional setting and guiding others in their use
Comfortable using generative AI tools (e.g. Microsoft Copilot, GitHub Copilot, ChatGPT) to assist with code generation, test writing, and experience design
Able to evaluate AI-generated outputs critically, including reviewing code, tests, and interactions for correctness, accessibility, and maintainability
Open to continuously adopting new AI capabilities as they emerge in the engineering and design workflow.

Nice To Haves

Experience working across multiple teams or product areas
Familiarity with shared patterns, design systems, or component libraries
Experience mentoring engineers beyond a single team
Exposure to observability tools (LogRocket, Heap, Datadog, Sentry, etc.)
Exposure to backend systems or APIs to support collaboration on integration and testing

Responsibilities

Define, build, and own the AI SDLC system for Experience Engineering — the agentic workflows, tooling, and guardrails our engineers rely on to ship
Stay ahead of the industry on agentic SDLC best practices and bring them into our system, continuously raising the bar for how we build
Maintain and evolve the system so it keeps working as models, tools, and team needs change — this is a living platform, not a one-time rollout
Enable engineers across teams to get real leverage from AI — through patterns, examples, and hands-on support, not just documentation
Partner with UX, UI, and QA Principal Architects to translate their direction into clear patterns and practices teams can follow
Work shoulder-to-shoulder with teams to guide implementation, support hard decisions, and unblock complex work
Reinforce quality ownership inside teams so testing and validation are part of everyday delivery, not a final gate
Spot gaps between standards and reality, and close them with the teams doing the work
Mentor engineers across the org and raise the overall standard of craft and delivery
Use delivery metrics, quality signals, and direct feedback to drive continuous improvement