Senior AI Engineer

📋 Description

• Build AI/automation-powered analytics products.
• Own ML feature pipelines and data infrastructure.
• Collaborate with analytics, data warehousing, and finance teams to solve problems.
• Create scalable workflows on Lighthouse data stack for reporting and decisions.
• Focus on financial reporting, ops visibility, and strategic decisions.
• Mentor Analytics Engineers and share best practices.

🎯 Requirements

• ML feature pipelines and data infra ownership.
• Point-in-time correctness, feature versioning, reproducibility.
• Production-grade SQL with BigQuery dialect.
• dbt or similar ELT tooling; Meltano or Stitch.
• Git, code reviews, CI/CD, automated testing in analytics/ML.
• Leading technical projects end-to-end and partnering with senior stakeholders.

🎁 Benefits

• Flexible work options: from home or offices worldwide.
• Flexible time off for work-life balance.
• Career development: workshops, training, and tools.
• Impactful work used by 85,000+ users worldwide.
• Comprehensive health insurance and pension funding.
• Mobility options: budget or company car.