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 covers 100% of the policyholder and 75% for dependents*
• 12 weeks of paid parental leave in the US*
• 401k program, 3% match - vested immediately!*
• $500 work-from-home stipend to be used up to a year of your start date*
• $600 technology stipend to support a portion of our hybrid/remote team's cell phone and internet expenses*
• $1,200 per year Health & Wellness Allowance to support your personal goals*
• The chance to collaborate with a team at the forefront of AI research

*Certain perks and benefits are limited to full-time employees only

You.com participates in E-Verify. We will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's Form I-9 to confirm work authorization. (English/Spanish: E-Verify Participation/Right to Work) We are also an inclusive, equitable, and accessible workplace. Please let us know if you require accommodation for any portion of the recruitment and hiring process.

Beware of recruiting scams: You.com will only contact you through official @You.com email addresses and will never ask for payment or sensitive personal information during the hiring process.