Engineering Manager, AI Tooling

What you'll do

As Engineering Manager for AI Tooling / Field Agents, you will lead a team of roughly 8-12 engineers responsible for accelerating Field Agent and AI Tooling adoption and usage. You’ll set technical and execution direction, develop and coach engineers, and partner deeply with PM, Design, Data Science, and GTM teams to turn Airtable’s AI strategy into measurable product impact.

You will:

• 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.

Who you are

We’re looking for an engineering leader who combines strong people management, product judgment, technical depth, and comfort operating in ambiguous, high-visibility areas.

You may be a fit if you have:

• 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.

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.