Senior Analytics Engineer

About Us At You.com, we are building the AI Search Infrastructure that powers modern AI systems. Our goal is to create the trusted knowledge layer that agents, applications, and enterprises rely on to retrieve real-time, accurate, and citation-backed information. Our platform combines proprietary vertical indexes with LLM-optimized retrieval systems to power AI agents, applications, and enterprise workflows. We are solving hard problems across search, large language models, and large-scale infrastructure to make AI systems more reliable, transparent, and useful. Our team includes engineers, researchers, product builders, and operators who care about solving meaningful problems and delivering real-world impact. Whether you are improving core infrastructure, shaping product experiences, or helping bring new AI capabilities to market, your work will help define how modern AI finds and uses knowledge. About the Role You.com is a search platform serving millions of queries across consumer and enterprise products. That scale generates a lot of data: search quality signals, API usage logs, click behavior, billing events, and user engagement across the product. This role is responsible for building the analytics infrastructure that makes all of it useful. You’ll own the dbt layer that transforms raw search logs, API events, and revenue data into clean, governed models. You’ll also build the dashboards that teams rely on to understand search performance, product engagement, and business health. Strong technical depth and strong visual judgment are both expected. You’ll work closely with Finance, GTM, Product, and Engineering to define metrics, agree on how success is measured, and build the self-service infrastructure that reduces the analytics backlog for everyone. Responsibilities Data Modeling & Infrastructure Design and build core data models covering product usage, revenue, GTM performance, API consumption, and cost data Own the dbt project: architecture, documentation, testing, and CI/CD Build and maintain pipelines from source systems (Salesforce, billing, product events, API logs) into clean analytics layers Define and enforce modeling standards, naming conventions, and governance practices that hold up as the company scales Partner with Data and Backend Engineering to instrument key events and maintain data quality upstream Dashboards & Reporting Build dashboards that give leadership and cross-functional teams clear, real-time visibility into business health Develop reporting across GTM, finance, product, and customer success Create self-service analytics that allow teams to answer their own questions without a backlog request Translate complex, multi-source analyses into clean outputs for executive audiences Cross-Functional Partnership Partner with Finance on revenue accounting, COGS, and margin reporting Collaborate with GTM and Sales leaders on seller productivity, pipeline health, and marketing ROI dashboards Work with Product to define and track north-star metrics, funnel performance, and user behavior Serve as a trusted partner when teams need to agree on how something is measured Data Quality & Governance Implement data quality monitoring so issues are caught before they reach stakeholders Maintain a documented data catalog that makes the warehouse accessible and understandable across the company Design reporting systems that support financial and operational audit requirements Qualifications 5+ years of experience in analytics engineering, data engineering, or senior-level data analysis at a fast-growing company Strong, production-grade SQL skills; complex queries should be second nature Hands-on experience with dbt (Core or Cloud), including project structure, testing, and documentation Experience with a modern cloud data warehouse: Snowflake, BigQuery, or Redshift Demonstrated ability to build polished dashboards and reports in Looker, Tableau, or a comparable BI tool Experience building data models across GTM, finance, or product analytics domains Comfortable with Python for data transformation, scripting, or pipeline work Strong communication skills with the ability to present clearly to senior stakeholders and simplify complex analyses Bonus: experience at an AI-native company, familiarity with LLM-assisted analytics workflows, or prior work with usage-based or API-driven billing data   Our salary bands are structured based on a combination of geographic tiers and internal leveling. Compensation is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations. Salary Band $100,000 — $200,000 USD Company Perks: Hubs in San Francisco and New York City offering regular in-person gatherings and co-working sessions Flexible PTO with U.S. holidays observed and a week shutdown in December to rest and recharge* A competitive health insurance plan cov