Software Engineer at Uservoice

UserVoice•Raleigh, NC

19h•Remote

About The Position

UserVoice is seeking a full-stack Software Engineer to work on UserVoice Discovery, our flagship product feedback platform. This is listed as a hybrid position to try and dissuade fake applicants, it is a fully remote position that is open to candidates anywhere in the United States. UserVoice Discovery sits at the intersection of qualitative research and large-scale data analysis. Our core challenge is making sense of thousands of pieces of unstructured customer feedback, and AI is central to how we're tackling it. You'll build systems that surface patterns, extract signal from noise, and help product teams make better decisions — thinking deeply about what intelligence applied to feedback data can actually unlock.

Requirements

3+ years of professional development experience.
Good mix of back-end and front-end skills.
Genuine excitement about applying AI/ML techniques to analyze large qualitative data sets.
Comfortable with ambiguity and navigating uncertainty.
Ability to make reasonable bets and iterate toward clarity.
Curiosity to explore new techniques, unfamiliar codebases, or new questions.
Adaptability and quick learning of new codebases with minimal guidance.
Proactive in voicing ideas on engineering, product development, and company operations.
Problem-solving skills, always searching for the best solutions while considering project goals.
Flexibility with broad requirements and ability to work with evolving specifications.

Nice To Haves

Experience with Go, Ruby on Rails, React, Tailwind CSS, Angular.
Knowledge of both relational and non-relational databases.
Familiarity with Docker/Kubernetes.
Experience with AI/LLM tooling, prompt engineering, or applying machine learning techniques to unstructured text.
Curiosity to go deeper into AI & Data.

Responsibilities

Build systems that surface patterns, extract signal from noise, and help product teams make better decisions.
Explore the frontier of AI in product feedback analysis.
Contribute to defining what is worth building.
Adapt quickly to new codebases with minimal guidance.
Voice ideas on engineering, product development, and company operations.
Search for the best solutions while considering project goals.
Work with evolving specifications.