Manager, Data Engineering

📋 Description

• Lead a team of data engineers; coach, develop reports, and set the tech bar.
• Own team standards and ops; enforce patterns; lead on-call, incident response, and reviews.
• Drive reliability with measurable goals including SLAs for latency and accuracy.
• Make data a product; improve AI-related models and stakeholder-facing outputs.
• Shape how the team uses AI; set patterns for Claude/LLM tools with ~30% time savings.
• Partner with executives; translate engineering work into business outcomes.

🎯 Requirements

• 2+ years managing data/analytics/platform eng teams and delivering outcomes.
• 10+ years building scalable data pipelines; Airflow preferred.
• Proficient in Python and SQL; able to tune complex queries.
• Focus on stability: SLAs, observability, and incident reduction.
• Data-as-product thinker; own data quality and stakeholder trust.
• AI-native builder; shipped Claude/LLM tooling on data teams.

🎁 Benefits

• Hybrid work model; flexible in-office or remote.
• Competitive benefits plus restricted stock units.
• Possible incentive compensation.
• Life at Airtable and inclusive culture.