# Manager, Data Engineering

**Company**: Airtable
**Location**: San Francisco, CA; New York, NY; Austin, TX
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $261,900-$339,900 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q23016614

**Apply**: https://job-boards.greenhouse.io/airtable/jobs/8565121002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_49bf0fc4-ad7

## Description

We're looking for a Manager, Data Engineering to lead our GTM & Business Data Engineering team. As a key member of our organisation, you will be responsible for delivering insights that improve user experience, measure agent impact, and understand how the business is performing at scale.

Your team will build business-critical pipelines and core tables that report AI usage metrics company-wide, maintain data models that support RevOps, Marketing, and Finance stakeholders, and increasingly use AI tools as a core part of how the team works every day.

You will set the technical bar, shape the team's AI craft, own team operations, and partner with company leaders on data strategy. One thing that makes this role unique is that the platform you're measuring and building on is the same one your customers use every day.

You will lead a team of data engineers, coach and develop your reports, maintain team health, and stay close enough to the work to set the technical bar. You will own team standards and operations, drive reliability as a system property, make data a product, shape how the team uses AI, and partner across the business and represent the team to executives.

To be successful in this role, you should have 2+ years managing a data, analytics, or platform engineering team with a track record of growing engineers and shipping outcomes. You should be a strong data engineer first, with 10+ years building scalable data pipelines and being proficient in Python and highly effective with SQL, including tuning complex queries.

## Skills

### Required
- data engineering
- AI
- Python
- SQL
- Airflow
- Claude skills
- Hyperagent

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/airtable/jobs/8565121002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)