Engineering Manager, AI Tooling

Airtable Airtable · Enterprise · Austin, TX +2 · Remote · Engineering

Engineering Manager for AI Tooling / Field Agents team responsible for driving adoption and usage of Airtable's AI features, specifically Field Agents. The role involves leading a team of engineers, owning execution for growth initiatives, partnering with cross-functional teams (Product, Design, Data Science, GTM), driving experimentation, and ensuring a balance between growth and trust-building work. Requires strong people management, product judgment, and technical depth in full-stack development, with AI product experience being strongly preferred.

What you'd actually do

  1. Lead, manage, and grow a team of engineers working on Field Agent Growth, AI tooling, and related adoption surfaces.
  2. Own engineering execution for initiatives that increase Field Agent usage, first-party AI token consumption, and Agent WAU.
  3. 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.
  4. Drive a rigorous experimentation and rollout culture, including experiment architecture, ramp plans, exposure quality, launch readiness, metric instrumentation, and pre/post analysis.
  5. Help the team balance growth-oriented product bets with defensive trust-building work such as credit transparency, spend visibility, warnings, and guardrails.

Skills

Required

  • 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
  • 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

Nice to have

  • 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

What the JD emphasized

  • AI product experience is strongly preferred but not strictly required

Other signals

  • driving growth, adoption, and durable usage of Airtable-native AI
  • maximizing first-party AI token usage
  • accelerating Field Agent and AI Tooling adoption and usage
  • increase Field Agent usage, first-party AI token consumption, and Agent WAU