Member of Technical Staff (Analytics Engineer)

About the role

This role brings Perplexity’s commitment to AI to the heart of their data operations. The team is already leveraging AI across various workflows, but there's a significant opportunity to scale and innovate further. With buy-in from leadership, the goal is to build a dedicated team focused on pushing the boundaries of AI integration in data science.

Responsibilities

• Accelerate the AI-native data workflow - existing processes will be refined and standardized for broader adoption.
• Build AI agents capable of conducting full analyses autonomously, from hypothesis formation to recommendation drafting.
• Create the semantic layer for the warehouse, enabling accurate querying by AI systems.
• Develop self-healing pipelines to detect and resolve data issues proactively.
• Construct the infrastructure that transforms a smaller team into one operating at 10x its current capacity.
• Collaborate with product and business teams to identify high-leverage problems and develop solutions.
• Prototype AI-powered workflows and iteratively improve accuracy and user experience.
• Deploy AI-driven experiment analysis tools that provide actionable insights for product teams.
• Transform the data team into a product-oriented unit, creating internal data products that stakeholders across the organization can easily use.

Requirements

• 6-8+ years of experience in data science, analytics engineering, or a related field.
• Strong product intuition and ability to work closely with product and business teams.
• Expertise in SQL, including the ability to design and maintain data models and work with warehouses.
• Experience building and maintaining data pipelines, particularly with dbt, and dealing with data quality issues.
• Basic software engineering skills to build and ship tools, comfortable with Python and able to write maintainable code.
• A genuine enthusiasm for AI, having built or experimented with AI agent frameworks, RAG systems, or similar projects.
• A builder mentality, eager to automate manual processes and iterate quickly.
• Autonomy to define the roadmap and execute initiatives without extensive oversight.

Qualifications

• Proficiency with dbt for building and maintaining production models.
• Experience with Snowflake administration and optimization.
• Experience building Slack bots, internal CLI tools, or developer productivity tools that were widely adopted.
• Experience with A/B testing and experimentation, including designing experiments and analyzing results.
• Early-stage startup experience, ideally within an AI-focused company.

Skills

• Deep understanding of SQL and data modeling.
• Experience with data pipeline management and optimization.
• Software engineering skills to build and deploy production-ready tools.
• Knowledge of AI agent frameworks and frontier models.
• Ability to work independently and set clear goals.

Benefits

• Competitive compensation range of $175K - $330K.
• Opportunity to shape the future of AI integration in data science.
• Close collaboration with product and business teams to drive innovation.
• Flexible work environment and autonomy to drive initiatives.

Pay

$175K - $330K

Schedule

Full-time