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About the Role
Cartesia is seeking an Analytics Engineer to establish and manage the company's central data repository. This role involves integrating data from product, billing, CRM, marketing, and operational sources into reliable models and standardized metrics for trusted use across teams. As an early and foundational hire in data, you will address data quality issues, enhance the data warehouse and transformation layers, and develop initial dashboards for key departments.
Responsibilities
- Own the path from source systems to canonical datasets, metrics, and dashboards.
- Identify and fix data-quality issues across pipelines, models, definitions, and reporting surfaces.
- Build and maintain reliable warehouse models using SQL and dbt or equivalent tooling.
- Establish clear metric definitions, tests, lineage, freshness monitoring, documentation, and ownership.
- Partner closely with Product, Engineering, RevOps, Growth, and GTM to translate business concepts into durable data models.
- Create trusted dashboards for core company metrics such as activation, usage, billing, customer health, and marketing performance.
- Make common data questions self-serve while ensuring dashboards reuse canonical logic rather than duplicating it.
- Audit the existing data stack and recommend pragmatic improvements or overhauls to ETL and analytics tooling where needed.
- Educate the company on how to use the source of truth and how new metrics and dashboards should be created.
Requirements
- 5+ years in analytics engineering, data engineering, or a technically rigorous analytics role, ideally at a B2B SaaS or developer-tools company.
- Expert SQL and strong warehouse modeling fundamentals, including dimensional modeling, historization, and identity resolution.
- Production experience with dbt or similar transformation tooling, plus testing, orchestration, monitoring, lineage, and documentation.
- A track record of turning fragmented data and competing definitions into canonical, reusable models.
- Experience working across product, billing, CRM, and marketing data; self-serve funnel experience is especially valuable.
- Strong judgment about when a problem belongs in a source system, pipeline, warehouse model, semantic layer, or dashboard.
- The ability to investigate discrepancies end-to-end and prevent them from recurring—not just patch the final report.
- Strong stakeholder instincts and the ability to make ambiguous business concepts precise.
- A practical, low-ego approach: willing to fix urgent issues while building toward a durable foundation.
Skills
- SQL
- dbt
- Dimensional modeling
- Historization
- Identity resolution
- ETL
- Analytics tooling
Location
- San Francisco, US
- London, UK
- Bangalore, India
Work Type
- In-office
- Full-time
Experience Level
- 5+ years
Salary/Compensations
- Competitive base salary
- Attractive equity package
Benefits
- Fully covered medical insurance along with dental and vision for you and your family
- 9 weeks paternity leave
- 12 weeks maternity leave
- 401(k)
- Commuter Allowance
- Flexible PTO
- Meals & Snacks provided daily
About the Company
- Our mission is to architect AI that learns from and interacts with the world like humans do.
- We're pioneering the model architectures that will make this possible.
- Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models.
- Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
- We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others.
- We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
- We ship fast. All of our work is novel and cutting edge, and execution speed is paramount.
- We have a high bar, and we don’t sacrifice quality or design along the way.
- We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.
Equal Opportunity
- Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.