Cartesia

Cartesia

Analytics Engineer

*HQ - San Francisco, CA · Senior

Sponsorship not specifiedDetected 28 days ago
SQLDatabricksMachine LearningdbtData EngineeringData ScienceLLMsCRMSystems Engineering

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odds of building a lasting career here

34Risky
Cap-exempt (no lottery)0
Sponsors this role70
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • You'll bring together product, billing, CRM, marketing, and operational data into reliable models and shared metric definitions that teams can trust.
  • This is an early, foundational data hire.
  • Identify and fix data-quality issues across pipelines, models, definitions, and reporting surfaces.

Responsibilities

  • Own the path from source systems to canonical datasets, metrics, and dashboards.
  • Build and maintain reliable warehouse models using SQL and dbt or equivalent tooling.
  • Partner closely with Product, Engineering, RevOps, Growth, and GTM to translate business concepts into durable data 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.
  • 🦖 Your own personal Yoshi

Requirements

  • A track record of turning fragmented data and competing definitions into canonical, reusable models.
  • Experience working across product, billing, CRM, and marketing data
  • 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.
  • Experience as an early or founding member of a data function.
  • Experience with full-funnel growth analytics, attribution, channel ROI, CRM, billing, or self-serve conversion.
  • Expert SQL and strong warehouse modeling fundamentals, including dimensional modeling, historization, and identity resolution.
  • 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.
  • A practical, low-ego approach: willing to fix urgent issues while building toward a durable foundation.
  • Experience building self-serve data workflows or using LLM-powered analytics tooling.

Nice to have

  • 5+ years in analytics engineering, data engineering, or a technically rigorous analytics role, ideally at a B2B SaaS or developer-tools company.
  • Production experience with dbt or similar transformation tooling, plus testing, orchestration, monitoring, lineage, and documentation.

Compensation

  • 💰 Compensation Competitive base salary alongside attractive equity package.

Benefits

  • 💰 Compensation Competitive base salary alongside attractive equity package.
  • 🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
  • 🧑‍🧑‍🧒‍🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave
  • 🚆 Commuter Allowance A monthly stipend to help you get to and from the office.
  • 🏖️ Flexible PTO Take as much time as you need to recharge your batteries.
  • 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.
  • Create trusted dashboards for core company metrics such as activation, usage, billing, customer health, and marketing performance.

Company info

  • ABOUT CARTESIA Our mission is to architect AI that learns from and interacts with the world like humans do.
  • Educate the company on how to use the source of truth and how new metrics and dashboards should be created.
  • Our mission is to architect AI that learns from and interacts with the world like humans do.

Equal opportunity

  • equal opportunity employer.

Visa & Work Authorization

  • We provide visa sponsorship support and assess each circumstance on a case-by-case basis.
  • However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success.
  • Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
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This listing is sourced directly from Cartesia's careers page and normalized into a canonical job model.