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About the Role

Airtable is seeking an Engineering Manager for the AI Tooling / Field Agents team. This role is responsible for driving growth, adoption, and usage of Airtable-native AI through Field Agents and related product experiences. The primary goal is to maximize first-party AI token usage by helping customers discover, understand, trust, and successfully use Field Agents and other AI tools in their workflows. This position is within the Product Engineering organization and focuses on Field Agents and AI Tools, with some support for AI products in general.

Responsibilities

Lead, manage, and grow a team of engineers working on Field Agent Growth, AI tooling, and related adoption surfaces.
Own engineering execution for initiatives that increase Field Agent usage, first-party AI token consumption, and Agent WAU.
Partner with Product and Design to identify high-leverage growth opportunities, quickly validate hypotheses, and ship product experiences that help customers discover and successfully use Field Agents.
Drive a rigorous experimentation and rollout culture, including experiment architecture, ramp plans, exposure quality, launch readiness, metric instrumentation, and pre/post analysis.
Help the team balance growth-oriented product bets with defensive trust-building work such as credit transparency, spend visibility, warnings, and guardrails.
Work with Data Science and Product to understand usage patterns, token consumption, adoption funnels, and customer segments where Field Agents can create the most value.
Collaborate with Services, Sales, and Customer Success to identify real customer workflows and unblock enterprise adoption, especially where customers have conceptual, permissions, billing, performance, or AI-readiness barriers.
Provide technical guidance across full-stack product work, AI product surfaces, billing/credits integrations, experimentation systems, and high-quality end-user experiences.
Build a strong team operating model: clear DRIs, crisp PDC/status updates, effective sprint planning, high-quality execution reviews, and healthy collaboration across engineering, product, and design.
Develop engineers through feedback, coaching, career development, technical mentorship, and creating opportunities for ownership.

Requirements

Experience managing and developing high-performing product engineering teams.
Strong product sense and experience shipping user-facing product experiences with measurable business or usage impact.
Experience building AI, ML, automation, developer tooling, workflow, or product-led-growth experiences.
Experience partnering closely with PM, Design, Data Science, and GTM teams.
Comfort using metrics, experimentation, and customer feedback to guide roadmap and execution decisions.
Strong technical judgment across full-stack product development; AI product experience is strongly preferred but not strictly required.
A track record of leading teams through ambiguity, changing priorities, and high-visibility goals.
Excellent communication skills, including the ability to create clarity for engineers, cross-functional partners, and leadership.
Strong execution instincts: you know when to run a lightweight experiment, when to invest in platform quality, and when to cut scope to learn faster.
Experience hiring, coaching, and developing senior engineers and technical leads.
Experience with experimentation platforms, growth loops, activation/adoption funnels, or usage-based business models.
Experience with billing, credits, metering, quota systems, or customer-facing usage transparency.
Experience working with enterprise customers, Sales/CS/Services partners, or complex customer adoption motions.
Accessibility experience or a strong appreciation for inclusive product quality.

Skills

AI
ML
Automation
Developer Tooling
Workflow
Product-Led-Growth
Full-Stack Development
Experimentation Platforms
Growth Loops
Activation/Adoption Funnels
Usage-Based Business Models
Billing Systems
Credits Systems
Metering Systems
Quota Systems
Customer-Facing Usage Transparency
Enterprise Customer Engagement
Accessibility

Location

San Francisco

Work Type

Hybrid

Experience Level

Engineering Manager
Senior Engineers
Technical Leads

Salary/Compensations

$281,000—$365,700 USD

Benefits

Benefits
Restricted stock units
Incentive compensation

About the Company

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.
Airtable is building the future of app creation: a platform where anyone can create powerful, flexible workflows and applications without needing to start from scratch.
As AI becomes a core part of how customers build, automate, and scale their work in Airtable, we are investing deeply in first-party AI experiences that make Airtable more powerful, approachable, and useful for every team.

Equal Opportunity

Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. 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
Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.