Member of Technical Staff (Software Engineer, Data Flywheel)

Responsibilities

• 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

Qualifications

• 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

Preferred Qualifications

• Data engineering background including pipelines, orchestration, and warehousing patterns
• Familiarity with LLM/VLM interfaces, tokenization, structured formats, and multimodal payloads…