Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. At Airtable, we're passionate about democratizing software creation, empowering anyone to build powerful and flexible tools without writing code. With our shift to an AI-native platform, customers can now generate full apps and deploy AI agents directly into their workflows.

Data engineering plays a critical role in this evolution by delivering the insights our teams rely on to improve user experience, measure agent impact, and understand how the business is performing at scale. As the Data Engineering Manager at Airtable, you'll lead the GTM & Business Data Engineering team, the team that owns the datasets powering go-to-market and business operations across the company. Your team builds the business-critical pipelines and core tables that report AI usage metrics company-wide, maintains the data models that support RevOps, Marketing, and Finance stakeholders, and increasingly uses AI tools (Claude skills, AI context guidance, and emerging tooling) as a core part of how the team works every day.

You'll 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: the platform you're measuring and building on is the same one your customers use every day. When Airtable ships a new AI agent capability, your team is among the first to instrument it, understand its adoption, and help shape what comes next.

Please note: while we employ a hybrid working model at Airtable (flexible in working from the office or elsewhere), we are looking to hire candidates at this level that are based in San Francisco or New York City who are open to coming into the office at least ~2-3 times/week for team collaboration. Lead a team of data engineers. Own team standards and operations.

Set and enforce the pattern language that keeps pipelines, tables, and naming consistent at scale. Lead on call, incident response, monitoring, and the code review standards that keep the team shipping. Make data a product.

Sharpen our data models for AI billings and usage so executive stakeholders can clearly see how our AI features are landing in the business. Treat the team's outputs as products with quality, observability, and trust built in from the start. Shape how the team uses AI.

Establish the patterns that make AI a high-trust collaborator on data work, with a team-level goal of roughly 30% time savings on pipeline development, debugging, and on call toil. Work with leaders across data science, growth, sales, marketing, product, and finance to turn ambiguous business questions into well-scoped solutions. Translate engineering work into business outcomes and make the case for investment.

An engineering manager who multiplies the team. You bring 2+ years managing a data, analytics, or platform engineering team with a track record of growing engineers and shipping outcomes, not just running standups. A strong data engineer first.

You have 10+ years building scalable data pipelines (preferably Airflow) and can still pair on the hardest problems on the team. You're proficient in Python and highly effective with SQL, including tuning complex queries.' You've wrangled enough data systems to know how often things go wrong. A data-as-product thinker.

You treat data as a product and can act as its owner, designing for quality, trust, and the stakeholders who depend on it downstream. An AI-native builder, not a spectator. You don't just use AI tools.

You treat AI as a high-trust collaborator core to how you solve problems, and you've established the patterns that raised the bar for a whole team. You can point to concrete AI tooling you've shipped on a data team: Claude skills, LLM-assisted pipeline work, automated PR fixes, AI-powered discovery. You write with clarity and precision, can translate technical context for executives, and tell stories with data.

We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you.

Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. For all other work locations (including remote), the