San Francisco, CA
No-code platform for custom apps and databases
Airtable builds a next-generation app platform that enables teams to design and deploy flexible apps for critical workflows using shared data. It serves over 500,000 organizations, including 80% of the Fortune 100. This allows organizations to accelerate work, automate processes, and turn AI into business impact.
Own full-funnel paid acquisition campaigns and build new performance marketing programs from scratch for Airtable's self-serve and enterprise motions. Requires 7+ years in performance marketing or growth, hands-on experience scaling paid channels (Google, Meta, LinkedIn), and using AI/automation to drive efficiency.
Builds security frameworks, automated guardrails, and threat modeling for Airtable's platform, focusing on AI/LLM safety and application security. Partners with engineering teams; requires 4+ years product security experience and proficiency in JS/TS/Node.js.
Lead and grow an engineering team building Airtable's Admin & Governance control plane, including the new AI Governance framework, enterprise trust infrastructure (Admin Panel, SSO, audit systems), and controls that enable secure AI adoption for large enterprise customers.
Lead an 8-12 person engineering team building AI Tooling and Field Agents at Airtable to drive adoption, usage, and first-party AI token consumption. Requires strong people management, product sense, experimentation rigor, and cross-functional partnership with PM, Design, Data Science, and GTM teams.
Lead the Performance & Architecture team responsible for the core backend worker process powering every Airtable base. Manage senior engineers on a Rust rewrite for 100x scale, engage directly with enterprise customers on performance issues, and drive technical architecture decisions.
Own end-to-end AI-native product experiences at Airtable, focusing on how humans and AI agents collaborate on structured data and workflows. Requires 5+ years PM experience, deep AI fluency, high agency, and strong product taste for building trustworthy AI interactions.
Forward Deployed Engineer embedding with strategic enterprise customers to understand business needs, rapidly prototype and deploy Airtable solutions, provide technical advisory to executives, influence product roadmap, and drive AI adoption and account growth.
Manage hiring, training, and performance of a BDR team at Airtable. Develop scalable outbound prospecting strategies, experiment with growth tactics, and partner cross-functionally with Marketing, Data Science, and Ops to drive predictable revenue. Requires 5+ years SaaS revenue experience and 1+ years leading BDRs.
Manager on Airtable's Sales Strategy & Planning team, serving as the analytical backbone for the sales organization. Own reporting infrastructure, generate insights from revenue data, support planning/forecasting processes, apply AI tools, and partner cross-functionally to drive revenue scaling.
Lead and mature Airtable's procurement function by owning complex software/SaaS/cloud negotiations, managing the vendor portfolio, partnering with Engineering/IT/Finance/Legal, and coaching a small team of specialists. Requires 8+ years procurement experience with deep expertise in high-stakes tech deal structuring.
Lead Airtable's global High Touch Customer Success organization, guiding enterprise customers through AI adoption and workflow transformation while driving retention and expansion.
Owns day-to-day procurement operations and leads AI-driven re-architecture of the function. Requires 6+ years in procurement, finance ops, or business ops plus strong cross-functional execution and tooling fluency.
Senior marketing operations leader who builds and manages AI agents and automation systems to scale marketing execution, pipeline intelligence, and campaign operations at a B2B SaaS company.
Senior Product Designer (8+ YOE) to craft AI-native experiences, build working prototypes in code, and shape the strategic vision for Airtable's evolving platform.
Lead enterprise solution design and delivery for Airtable's Professional Services, translating complex workflows into agentic architectures while driving organizational change at VP/C-suite level.
Full-stack, frontend-leaning engineer building onboarding and activation features using React, Node.js, and AWS. Requires 8+ years of full-stack web development experience and a background in computer science.
Own and grow a high-volume portfolio of education and SLED accounts, driving net-new and renewal revenue through disciplined pipeline management and strong customer relationships.
Own full sales cycle for AI-native companies, driving net new logo acquisition and 6-figure+ ACV deals. Requires 5-7+ years closing complex SaaS sales with fluency in AI and enterprise buying processes.
Technical delivery lead for enterprise Professional Services engagements. Owns end-to-end project plans, manages multi-stakeholder delivery across internal teams and external partners, and guides customers through AI workflow transformation.
Delivery Consultant who builds Airtable interfaces, automations, data models, and integrations while running customer sessions to translate solution vision into working systems. Requires 3-5 years client-facing implementation experience and rapid platform mastery.
Lead enterprise solution design and delivery for Airtable's Professional Services, translating complex workflows into architectures where humans and agents operate together. Requires 7+ years client-facing consulting or transformation experience and deep expertise in agentic systems.
As a Demo Engineer, you will build AI-powered demo infrastructure for the Solutions Consulting team, designing and maintaining scalable Airtable apps and AI-forward experiences. You will partner with Solutions Consultants and Account Executives to translate prospect requirements into polished, story-driven demos.
Senior backend/infrastructure engineer building and scaling Airtable’s Kubernetes platform and developer tooling. Own reliability, performance, and abstractions used across all engineering teams.
Drive full-cycle enterprise sales to AI-native companies, owning prospecting through close for 6-figure+ ACV deals while building executive relationships and forecasting performance.
Owns the full user funnel from signup to sustained engagement at Airtable, reimagining AI-powered personalized onboarding and setup experiences. Requires 4-8 years in product management focused on activation, onboarding, or retention, with strong experimentation and customer obsession.
Leads end-to-end global payroll operations across US, Australia, Canada, and UK, ensuring compliance, accuracy, and timely processing. Requires 7+ years US payroll experience in tech, Workday/ADP expertise, equity handling, and advanced Excel skills.
Build scalable backend systems for Airtable's enterprise product features on teams like Enterprise Growth, Monetization, and Platform Interoperability. Requires 8+ years experience, expertise in TypeScript/Rust, and large-scale architecture; hybrid in SF Bay Area, Seattle, NYC, or LA.
Builds and evolves design system components in Figma and production code. Champions AI-assisted UI development tooling and workflows. Requires 8+ years design-engineering experience, strong craft in design tokens, components, and accessibility.
Strategic Account Executive sells Airtable's no-code platform to Fortune 500 enterprises, managing full sales cycles, building executive relationships, and driving expansion across departments. Requires 8+ years SaaS sales experience with proven quota overachievement.
Lead the evolution of Airtable's Kubernetes-based compute platform, scaling infrastructure across 70+ clusters, modernizing deployment services in Golang, and driving platform maturity with security and developer experience improvements. Requires 8+ years experience with deep Kubernetes expertise.
Backend engineers build and scale Airtable's infrastructure across teams like Base, Compute, Data, Storage, and Traffic. Requires 2-8 years experience in distributed systems, databases; CS degree; hybrid work in SF, NYC, Seattle, or LA areas.
Designs and owns mission-critical data pipelines to enable decision-making across data science, growth, sales, marketing, and product teams. Requires 5+ years experience with scalable pipelines (preferably Airflow), Python, and advanced SQL.