Staff Full Stack Software Engineer
Role Overview
This senior-level Staff Full Stack Engineer role involves building new products from scratch at high scale, working closely with cross-functional teams to ship experiments and features, and analyzing performance metrics to optimize user journeys. The engineer will have a significant impact by translating AI advances into engaging products and building core growth infrastructure, requiring strong ownership and data-driven decision-making.
Perks & Benefits
The role is fully remote, likely with flexible hours, and offers fluid team assignments allowing for diverse project exposure and career growth. The company culture emphasizes fast-paced innovation, collaboration with Product and Design, and a focus on AI-driven development, with opportunities to work on cutting-edge technologies in a dynamic environment.
Full Job Description
Perplexity is seeking an experienced Staff 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
8+ 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.
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