Member of Data Staff (AI Builder)

About the role

This role brings AI to the heart of Perplexity's data operations, aiming to transform how data science and analytics are conducted within the company.

Responsibilities

• Build AI agents that automate data science tasks, from hypothesis formation to recommendation generation, with clear evaluation and review loops.
• Develop retrieval infrastructure and evaluation loops to ensure AI systems can query the warehouse accurately and efficiently.
• Accelerate the AI-native data workflow by creating reusable systems, tools, and patterns that streamline data analysis and decision-making processes.
• Automate the data lifecycle by building self-healing pipelines, automated dbt model generation and validation, data quality agents, and diagnosis workflows to reduce manual intervention.
• Ship AI-powered experiment analysis tools that interpret A/B test results, flag statistical issues, identify likely drivers, and provide ship/no-ship recommendations.
• Turn the data team into a product team by developing internal data products that stakeholders use daily, replacing ad-hoc requests with self-service AI interfaces.
• Own the full lifecycle of AI projects, from identifying high-leverage problems to designing and deploying production-ready systems.

Requirements

• 6+ years of experience in data science, analytics engineering, data engineering, or a related field.
• Deep understanding of SQL and analytics, able to reason through complex data scenarios without relying on tools.
• Strong product sense, understanding what stakeholders truly need and how to make workflows adoptable.
• Production-oriented Python skills, capable of building and maintaining robust data processing and AI systems.
• Hands-on experience with large-scale language models (LLMs), including their limitations and potential.
• Pipeline and modeling fluency, comfortable with dbt, warehouse schemas, and data quality issues.
• Bonus experience with Snowflake, semantic layers, or metadata systems.
• Experience building internal tools, bots, CLIs, or developer productivity products that users actually rely on.
• Strong background in experimentation, including metric design and statistical interpretation.
• Experience with BI tools and the ability to distinguish between what should be automated and what should remain human-reviewed.
• Early-stage startup experience, ideally in a similar domain to Perplexity.

Qualifications

• Advanced degree in computer science, statistics, or a related field.
• Proven track record of delivering impactful AI solutions in a professional setting.
• Excellent communication and collaboration skills, able to work effectively with cross-functional teams.
• Passion for continuous learning and staying updated with the latest advancements in AI and data science.

Skills

• Python programming
• SQL and database management
• Data modeling and analysis
• Large-scale language model (LLM) development and deployment
• Database transformation (dbt)
• Warehouse schema design and optimization
• Data quality monitoring and improvement
• Experimentation and statistical analysis
• Product development and user interface design
• Automation and pipeline management
• Collaboration and teamwork

Benefits

• Competitive compensation package
• Flexible work schedule
• Professional development opportunities
• Health and wellness benefits
• Work-life balance initiatives

Pay

Competitive salary based on experience and qualifications.

Schedule

Full-time position with flexible hours to accommodate project needs.