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Analytics Engineer

Cartesia*HQ - San Francisco, CAEngineering
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Salary
$180K – $250K
Job type
Full-time
Posted
18 Sept 2026
Status
Open · checked 7d ago

About this role

Cartesia is hiring a full-time Analytics Engineer to build and manage the company-wide source of truth at the San Francisco headquarters. This foundational role suits an experienced data professional with a passion for establishing reliable metrics and scalable warehouse systems.

Role Overview

As an early data hire, the Analytics Engineer will unify product, billing, CRM, marketing, and operational data into trusted models and standardized metric definitions. The primary objective is to build robust systems and standards that allow every team across the company to answer business questions consistently.

Key Responsibilities

Own the end-to-end data path from source systems to canonical datasets, key metrics, and leadership dashboards.
Identify and resolve data-quality issues across transformation pipelines, data models, and reporting layers.
Build and maintain reliable warehouse models using SQL and dbt or similar tools.
Establish comprehensive metric definitions, automated tests, data lineage, freshness monitoring, and clear documentation.
Partner directly with Product, Engineering, RevOps, Growth, and GTM teams to translate complex business concepts into durable data models.
Design trusted dashboards tracking core metrics such as user activation, feature usage, billing, customer health, and marketing performance.
Make routine data questions self-serve while ensuring reporting relies on unified canonical logic rather than duplicate definitions.
Audit existing data infrastructure and recommend pragmatic improvements to ETL processes and analytics tooling.
Educate internal teams on proper usage of the data source of truth and best practices for creating new metrics.

Requirements

Minimum of 5 years of experience working in analytics engineering, data engineering, or a technically rigorous analytics function, preferably within a B2B SaaS or developer-tools environment.
Expert-level SQL capabilities and strong foundations in data warehouse modeling, including dimensional design, historization, and identity resolution.
Practical production experience with dbt or equivalent transformation tooling, along with workflow testing, orchestration, monitoring, lineage, and documentation.
Demonstrated track record of consolidating fragmented data sources and competing definitions into unified, reusable models.
Direct experience working with product, billing, CRM, and marketing data sets.
Strong judgment regarding where data logic should live, whether in a source system, pipeline, warehouse model, semantic layer, or dashboard.
Ability to investigate data discrepancies thoroughly to prevent recurrence rather than simply patching symptoms.
Strong stakeholder management and the ability to turn ambiguous business concepts into precise data requirements.
A practical, low-ego working style focused on building durable foundational systems while solving urgent issues.

Nice to Have

Prior experience serving as an early or founding member of a dedicated data team.
Background in full-funnel growth analytics, marketing attribution, channel ROI, CRM mechanics, billing systems, or self-serve conversion.
Experience constructing self-serve data workflows or utilizing LLM-powered analytics tooling.

Skills and Tools

SQL
dbt
Warehouse Modeling
ETL and Data Pipelines
Data Warehousing
Dashboarding and Reporting Tools

Salary and Benefits

Competitive annual base salary ranging from $180,000 to $250,000 USD
Attractive equity package
Fully covered medical, dental, and vision insurance for employees and families
Parental leave offering 9 weeks of paternity leave and 12 weeks of maternity leave
401(k) retirement plan
Monthly commuter allowance stipend
Flexible paid time off policy
Daily provided lunch, dinner, and snacks

About the Company

Cartesia is pioneering novel artificial intelligence model architectures that learn from and interact with the world like humans do, originally invented by the founding team as State Space Models at the Stanford AI Lab. The company combines deep model innovation with systems engineering and product development, backed by leading investors including Index Ventures and Lightspeed Venture Partners. Cartesia operates an in-office team culture based out of San Francisco, London, and Bangalore, and participates in E-Verify.

How to Apply

Interested candidates should visit the official Cartesia careers page to submit an application for this role.

Skills and tech stack

LLMSQLMachine Learning

Questions candidates ask

What is the salary range for the Analytics Engineer role?

The annual base salary ranges from $180,000 to $250,000 USD, supplemented by an equity package and comprehensive benefits.

Where is this position located?

This role is based out of the company headquarters in San Francisco, CA, as part of Cartesia's in-office team culture.

What level of experience is required?

Candidates must have 5+ years of experience in analytics engineering, data engineering, or a technically rigorous analytics role, ideally within B2B SaaS or developer tools.

Is machine learning experience required for this job?

No, machine learning, predictive modeling, and traditional data science experience are not required, as this is an analytics engineering role focused on data systems and source-of-truth ownership.

Does Cartesia offer visa sponsorship?

Yes, visa sponsorship support is provided and assessed on a case-by-case basis depending on the role, location, and individual circumstances.

Ready to apply?

The application is on the official Cartesia careers page.

Apply on company site