AI-Driven Analytics Engineer

Perplexity; San Francisco (CA); On-site; USD 175,000 - 330,000; Full time

Job summary

A cutting-edge AI company in San Francisco is seeking an experienced candidate to build AI systems that revolutionize data workflows. The role focuses on creating autonomous AI agents for comprehensive data analysis, ensuring data pipelines are self-healing, and driving innovation within a dedicated data team. Ideal candidates will have 6-8+ years in data science or analytics, profound knowledge in SQL, and a genuine enthusiasm for AI. The position offers substantial leverage and direct impact in a dynamic environment.

Qualifications

• 6-8+ years in data science, analytics engineering, or a related role.
• Strong product sense and experience with product teams.
• Deep SQL expertise, including data model building.
• Experience maintaining data pipelines and data quality.
• Ability to build tools in Python and work with APIs.
• Genuine excitement about AI and familiarity with LLMs.
• Builder mentality with a focus on automation.
• Ability to work autonomously and define roadmaps.

Responsibilities

• Accelerate AI-native data workflow with scalable systems.
• Build AI agents for end-to-end data analyses.
• Make data warehouse AI-readable for accurate querying.
• Automate data lifecycle with self-healing pipelines.
• Interpret A/B test results and provide recommendations.
• Own the full project lifecycle from problem identification to deployment.
• Transform data teams into product teams with self-serve AI.

Skills

Data science

Analytics engineering

Data engineering

SQL expertise

Pipeline experience

Python programming

AI systems

Tools

dbt

Snowflake

BI tools

Job description

A cutting-edge AI company in San Francisco is seeking an experienced candidate to build AI systems that revolutionize data workflows. The role focuses on creating autonomous AI agents for comprehensive data analysis, ensuring data pipelines are self-healing, and driving innovation within a dedicated data team. Ideal candidates will have 6-8+ years in data science or analytics, profound knowledge in SQL, and a genuine enthusiasm for AI. The position offers substantial leverage and direct impact in a dynamic environment.