---
title: 'Software Engineer, Data at Airtable'
canonical: 'https://feeny.ai/job/software-engineer-data-airtable-san-francisco-7p10y1223pck'
type: 'job'
last_seen: '2026-09-05'
---

# Software Engineer, Data at Airtable

- **Company:** Airtable
- **Location:** San Francisco, CA / Austin, TX / New York, NY
- **Compensation:** $177k–$278k
- **Posted:** 2025-08-18
- **Last confirmed live:** 2026-09-05
- **Apply:** https://job-boards.greenhouse.io/airtable/jobs/8124953002

## Job description

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.

At Airtable, we're passionate about democratizing software creation — empowering anyone to build powerful, 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 a Software Engineer, Data at Airtable, you'll make an enormous contribution to our data engineering efforts. You'll design and own mission-critical data pipelines to enable decision-making, partner with company leaders to create scalable data solutions, and launch innovative alerting and visualization solutions.

The Team

Our team is embedded in how Airtable understands itself as a business, working closely with Data Science and Analytics. What's unusual here: the platform you're instrumenting is the same one your customers use every day. When Airtable ships a new AI agent capability, you're among the first to wire it up, measure its adoption, and influence what gets built next.

Product & AI Data Infrastructure This team builds and owns the foundational data pipelines that power product analytics across Airtable. As Airtable shifts to an AI-native platform, our work increasingly involves instrumenting and measuring AI product usage, building event pipelines for AI agents, surfacing AI-native adoption metrics in core business tables, and developing AI-powered data discovery tooling, including vector search over our catalog metadata. We partner closely with product analytics, product engineering, and data infrastructure to turn business questions into well-modeled, trustworthy data.

## What you'll do

- Work across our engineering organization and stakeholders from data science, growth, sales, marketing, and product to understand the data needs of the business and produce pipelines, data marts, and other solutions that enable better decision-making.
- Design and maintain our foundational business tables in order to simplify analysis and reporting across the entire company, including AI usage metrics surfaced to executive stakeholders.
- Use AI tools as a daily part of how you work, from LLM-assisted pipeline development and debugging to exploring our catalog through AI-powered discovery, and bring a curiosity for where this tooling is heading next.
- Build and enforce a pattern language across our data stack, ensuring pipelines and tables are consistent, accurate, and well-understood.
- Continue to improve the performance and reliability of our data warehouse.
- Partner with data scientists, analytics engineers, and business stakeholders to translate ambiguous business questions into well-scoped data solutions.

## Who you are

- You have 8+ years of professional experience designing, creating, and maintaining scalable data pipelines, preferably in Airflow.
- You've wrangled enough data to understand how often the complex systems that produce it can go wrong, and you build with that in mind.
- You are proficient in at least one programming language (preferably Python) and are willing to pick up others as the work demands.
- You are highly effective with SQL and understand how to write and tune complex queries.
- You're genuinely curious about how AI is reshaping data engineering and you're actively experimenting, not just watching from the sidelines. Whether that's using LLMs to write and debug pipelines faster, thinking through how to model agent behavior as data, or exploring what smarter data discovery could look like, you bring enthusiasm for figuring it out.
- You're passionate and thoughtful about building systems that enhance human understanding.
- You communicate with clarity and precision in written form and have experience conveying findings through graphs and visualizations.

Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience.

Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out [Life at Airtable](https://airtable.com/careers/life-at-airtable).

For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is: $196,000—$278,100 USD

For all other work locations (including remote), the base salary range for this role is: $177,000—$250,300 USD

Please see our Privacy Notice for details regarding Airtable’s collection and use of personal data relating to the application and recruitment process by clicking [here](https://www.airtable.com/company/personnel-privacy-notice).

For applicants that live in or have a link to Australia, please see this [Privacy Collection Statement](https://www.airtable.com/company/job-application-privacy-statement) for details regarding Airtable's collection and use of personal data relating to the application and recruitment process.

🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams [here](https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first).

## About Airtable

## Company Overview
- **One-liner**: Airtable is an AI-native digital operations platform that combines a relational database with custom interfaces, automations, and AI agents to help organizations build apps and streamline workflows.
- **Entity Type**: Private (currently valued at ~$4B, down from $11.7B peak)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2012
- **Founders**: Howie Liu, Andrew Ofstad, Emmett Nicholas

## Core Business
- **Primary industry**: Low-code / no-code platform, enterprise software, AI-powered workflow automation
- **Target customers**: B2B – marketing, product operations, project management, and more; used by over 500,000 organizations including Netflix, NASA, and Shopify; 80% of Fortune 100 companies
- **Mission or purpose**: “Give everyone the tools they need to organize their world” (original); more recently positioned as the system of record for companies building what’s next.

## Products & Services
- **[Airtable Platform](https://www.airtable.com/platform)**: Core product – a relational database with spreadsheet-like interface, supporting HyperDB (up to 100M records per table), automations, custom interfaces (drag-and-drop app builder), sync, and enterprise administration controls. AI features include Omni (AI builder that creates apps from natural language) and Field Agents (autonomous AI agents that execute tasks across data).
- **[Superagent](https://superagent.com)**: Standalone AI agent platform launched in January 2026. Uses multi-agent coordination to break complex requests into plans, dispatch specialized agents, and synthesize results into interactive deliverables.
- **[MCP Server](https://www.airtable.com/platform)**: Connects AI tools (Claude, ChatGPT, Cursor, etc.) to Airtable bases for natural-language queries and updates.
- **Integrations**: Seamless connections with Jira, Salesforce, Tableau, OpenAI, Gemini, Llama, Anthropic, and more.

## Market Standing
- **Valuation**: ~$4 billion (secondary market pricing as of 2026, down from $11.7B peak in 2021)
- **Key Metric**: $478M+ ARR (2024), growing 27% year-over-year; cash flow positive since late 2024
- **Notable Investors/Partners**: Not explicitly listed in recent results, but partnerships with major AI providers (OpenAI, Anthropic, Google) and enterprise tools (Salesforce, Jira, Tableau).
- **Growth Signals**:
  - Launched Superagent – first new product in 13 years – in January 2026.
  - Hired David Azose (former engineering lead for ChatGPT’s business products at OpenAI) as CTO.
  - Headcount stabilized at ~900 employees after two layoff rounds (2022/2023) that removed ~491 roles.
  - 37 open positions as of mid-2026, focused on AI/ML, platform, product, and go-to-market roles.

## Competitive Advantages
- **Relational database at scale**: HyperDB supports hundreds of millions of records, differentiating from spreadsheet-only tools.
- **AI-native platform**: Not a chatbot bolted on; agents (Field Agents, Omni, Superagent) are deeply integrated with structured data and workflows.
- **Enterprise readiness**: Scalable infrastructure for tens of thousands of users, flexible administration, SOC 2 compliance (implied by “security and compliance”).
- **Massive adoption**: Used by 500,000+ organizations, 80% of Fortune 100, creating strong network effects and ecosystem lock-in.

## Strategic Focus
- **AI-first transformation**: Pivot from a low-code tool to an AI-native platform that orchestrates human workflows and AI agents. Investment in multi-agent coordination, orchestration infrastructure, and natural-language app building.
- **Enterprise expansion**: Targeting larger customers with scalability, compliance, and professional services.
- **Sustainable growth**: Prioritizing cash flow positivity and deliberate hiring over headcount growth.

## Why Work Here
- **Culture highlights**: Engineering-driven, product impact, learning culture, diverse teams. Glassdoor rating 3.8/5.0, work-life balance 4.0/5.0, 71% recommend to a friend.
- **Flexibility**: Hybrid/remote options – roles in San Francisco, New York, Austin, Seattle, London, Sydney, and remote-US.
- **Compensation**: Highly competitive engineering pay – IC3 ~$226K total comp, IC4 $340K–$395K, IC5 $438K–$550K, IC6+ $550K–$650K+, new grad ~$170K. Median all-levels ~$445K.
- **Benefits**: Comprehensive healthcare, generous parental leave, home office stipend, L&D budget. Multiple reviews highlight benefits package as a strong retention factor.
- **Considerations**: Two layoff rounds (2022/2023) impacted morale, but culture has stabilized. Hiring is selective – each role has meaningful scope. Strong opportunity for engineers interested in building agentic AI at a company with real revenue and customers.

## Sources
1. [Airtable.com – Platform overview](https://www.airtable.com/platform)
2. [Airtable.com – Careers page](https://airtable.com/careers)
3. [Airtable Greenhouse jobs listing](http://job-boards.greenhouse.io/airtable)
4. [Jobs By Culture – Airtable 2026 profile](https://jobsbyculture.com/blog/working-at-airtable-2026)
5. [Airtable.com – Homepage](https://www.airtable.com/)

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