engineering
Posted 5 days agoEngineering Manager, AI Tooling
at Airtable
San Francisco, United StatesHybrid
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.
- Drive a rigorous experimentation and rollout culture, including experiment architecture, ramp plans, exposure quality, launch readiness, metric instrumentation, and pre/post analysis.
- 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.
- 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
- A track record of leading teams through ambiguity, changing priorities, and high-visibility goals.
Requirements
- 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.
- The AI Tooling / Field Agents team is responsible for driving growth, adoption, and durable usage of Airtable-native AI through Field Agents and related product experiences.
- The team’s primary goal is maximizing first-party AI token usage by helping more customers discover, understand, trust, and successfully use Field Agents and other such tools in real workflows.
- This role will focus on Field Agents and AI Tools, with some light connective tissue to accessibility and platform-quality work supporting AI products in general.
- The team’s work ladders up to driving first-party AI usage as a broader metric.
- The team partners closely with Product, Design, Data Science, AI engineering, Billing, Services, Sales/CS, and other product teams to identify high-impact adoption opportunities, run experiments, and remove blockers that prevent customers from getting value from Field Agents and AI Tools.
- 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:
- Provide technical guidance across full-stack product work, AI product surfaces, billing/credits integrations, experimentation systems, and high-quality end-user experiences.
- Experience managing and developing high-performing product engineering teams.
- Experience building AI, ML, automation, developer tooling, workflow, or product-led-growth experiences. •
- Experience partnering closely with PM, Design, Data Science, and GTM teams.
- Strong technical judgment across full-stack product development; AI product
- Excellent communication skills, including the ability to create clarity for engineers, cross-functional partners, and leadership.
- 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
- If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you.
Benefits
- 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 .
- For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is: $281,000 — $365,700 USD
Contact
- All official Airtable communication will come from an @airtable.com email address.
- If in doubt, contact us at hr@airtable.com .
Additional details
- 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.
- This team sits within the Product Engineering organization.
- Adjacent teams are responsible for products like Omni and the Airtable MCP .
- Please note: while we employ a hybrid working model at Airtable (flexible in working from the office or elsewhere), we are looking to hire candidates at this level who are based in San Francisco and open to coming into the office ~2-3 times/week for team collaboration. What you'll do
- 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.
- 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.
- We’re looking for an engineering leader who combines strong people management, product judgment, technical depth, and comfort operating in ambiguous, high-visibility areas.
- experience shipping user-facing product experiences with measurable business or usage impact. •
- Comfort using metrics, experimentation, and customer feedback to guide roadmap and execution decisions.