Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500000 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.

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 teams 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 team sits within the Product Engineering organization. Adjacent teams are responsible for products like Omni and the Airtable MCP. 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 teams 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.

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 youll 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. Youll set technical and execution direction develop and coach engineers and partner deeply with PM Design Data Science and GTM teams to turn Airtables 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

Were 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.

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. Learn more about your EEO rights as an applicant.

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