2 дня назад
Staff Analytics Engineer (AI)
195 000 - 273 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Analytics Engineer (AI): Building trusted, reusable dbt models and analytics engineering foundations for product, business, and AI-assisted decision-making with an accent on dimensional modeling, data governance, semantic layers, and warehouse reliability. Focus on setting technical architecture, improving BigQuery performance and cost efficiency, and enabling consistent self-service analytics across multiple business domains.
Location: San Francisco or remote within the US or Canada
Salary: $195,000–$273,000 per year, plus equity
Company
is building a developer-first cloud platform for AI-native, full-stack, multi-service applications, with persistent compute, autoscaling, orchestration, and observability.
What you will do
- Own the long-term architecture and technical direction of the Analytics Engineering platform.
- Design, build, and maintain governed dbt models for authoritative business metrics across Product, Engineering, Growth, Go-to-Market, and Finance.
- Define standards for data modeling, testing, documentation, version control, CI/CD, code review, lineage, and governance.
- Build semantic and context layers that support reliable self-service analytics for people and AI tools.
- Partner with analysts, scientists, Data Engineering, and business stakeholders to turn domain logic into scalable warehouse models.
- Improve source data quality, BigQuery performance, cost efficiency, and team adoption of analytics engineering practices.
Requirements
- 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, including 3+ years running dbt in production.
- Expert SQL skills and experience designing scalable Kimball dimensional models.
- Deep knowledge of Git, testing, CI/CD, documentation, data contracts, lineage, and governance.
- Experience with semantic layers, trusted metrics, cloud data warehouses, and self-service analytics for humans and AI agents.
- Experience with BigQuery, Databricks, or Snowflake, including performance optimization and cost efficiency.
- Strong communication, technical leadership, mentoring, and cross-functional collaboration skills.
Nice to have
- Hands-on experience with ’s analytics stack, including BigQuery, Segment, dbt, Metabase, or Mixpanel.
- Experience with developer-focused, product-led, sales-led, or usage-based businesses.
- Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products.
- Experience using Codex, Cursor, Claude Code, or similar AI-assisted coding and analytics tools.
Culture & Benefits
- Four weeks of paid vacation and 14 weeks of fully paid parental leave for all parents.
- Employer-paid medical, dental, and vision coverage, with FSA and HSA options.
- Long-term disability, life insurance, and 401(k) plans.
- Wellness, mental health, therapy, hobby, phone, internet, commuter, and home-office support.
- Continuous learning benefits and a culture based on integrity, humility, feedback, trust, and thoughtful debate.
- This position is generally not eligible for new visa sponsorship; existing visa transfers may be sponsored at ’s discretion with business authorization.
Hiring process
- The interview process is tailored to the role and designed to provide a thoughtful, respectful candidate experience.
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