Full Stack Software Engineer
Perplexity • San Francisco, California, United StatesPerplexity is seeking an experienced Full Stack Engineer to help revolutionize the way people search and interact online. In this role, you'll translate cutting-edge AI advances into products that are both useful and engaging.
Our tech stack includes Python, Go, Rust, TypeScript, React FastAPI, PostgreSQL, Redis, Docker, vLLM, and AWS.
Roles and teams at Perplexity are fluid. By applying to this position, you will be eligible to join teams across Perplexity Engineering. During the interview process, we look forward to learning more about your unique talents and figuring out where in our organization you’ll grow and thrive the most.
Responsibilities
Building new 0-1 products at high scale
Working closely with Product, Design, and Data to ship experiments and learn
Launching new features, experiments, campaigns, and partnerships in a fast-moving environment
Building core growth infrastructure such as notification platforms, ad attribution, and more
Analyzing performance metrics and user feedback to identify opportunities for improvement and optimization
Building delightful and data-proven user journeys
Qualifications
Strong programming skills with the ability to work across the full stack
Self-motivated with a willingness to take ownership of tasks
Good quantitative understanding of data and experimentation
Experience making data-driven decisions and measuring impact of those decisions (experimentation, feature flags, adhoc analysis)
A passion for shipping quality products
4+ years of industry experience
How we work with AI
AI is at the heart of what we build, and using it effectively is an expectation for every role here. During interviews, we will be excited to see how you think and understand how you make decisions—qualities that would directly influence our AI development—there may be an opportunity for you to showcase your AI skills; however, we ask that you kindly avoid using AI tools throughout the process unless we explicitly indicate otherwise.