Software Engineer – Data Flywheel

🕒 February 13

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Perplexity

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS

Perplexity is an AI-powered conversational search and assistant platform that lets users ask natural-language questions and explore curated topic "Spaces" such as Finance, Health, and Sports. It provides tools for comparing, troubleshooting, and analyzing information, maintains search history, and offers Pro subscription features alongside multiple sign-in options (Google, Apple, email, SSO). The product is delivered as a web-based service focused on surfacing concise, sourced answers and research assistance.

📋 Description

• Build the systems and pipelines that enable Search, Product, and other teams to independently access and utilize reliable eval verdicts without bottlenecks • Take ownership of the "evals-to-product" loop, autonomously determining the best way to turn raw signals into durable datasets that power decision-making across the company • Build a robust simulator pipeline capable of replaying user interactions with the product in formats legible to LLMs and VLMs, reflecting product changes as they are shipped • Maintain data trust by implementing monitoring, lineage, and quality checks, ensuring downstream consumers can rely on the results implicitly • Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality

🎯 Requirements

• 3+ years of software engineering experience shipping production systems • Strong proficiency in Python and SQL with the ability to write production-grade, maintainable code • Experience with big data systems including distributed compute and large-scale storage • Solid fundamentals in data modeling, system design, and debugging distributed systems • Experience with AWS and lakehouse ecosystems like Databricks or Spark • Comfortable with agentic coding workflows and using AI-assisted development tools to iterate faster • Data engineering background including pipelines, orchestration, and warehousing patterns (Preferred) • Familiarity with LLM/VLM interfaces, tokenization, structured formats, and multimodal payloads (Preferred) • Experience with evaluation platforms, experimentation systems, or machine learning infrastructure (Preferred) • Prior work supporting customer-facing products at scale (Preferred)

🏖️ Benefits

• Full-time U.S. employees enjoy a comprehensive benefits program including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts, and more. • Full-time employees outside the U.S. enjoy a comprehensive benefits program tailored to their region of residence.