Delivery Consultant

AirtableNew York, NY
$153,000 - $221,500Remote

About The Position

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. Work isn't being replaced. It's being redesigned. Airtable is built for that moment: the same platform humans run their most critical workflows on is where agents now operate alongside them. Professional Services is where that redesign happens. The Delivery Consultant turns a solution vision into systems that achieve outcomes. You build the systems: interfaces, automations, data models, integrations, and you run the customer sessions that close the gap between how the work was designed and how it actually gets done. The two are inseparable: what you learn in the room changes what you build, and what you build is how you earn the room's trust. You work directly with the operators and builders whose jobs are changing. Your judgment about when to evolve the design and when to hold the vision is what determines whether a system achieves what it was designed to do. Getting there requires more than technical skill. You help customers see past what's familiar to what will actually work, present trade-offs with enough clarity and conviction that they can make real decisions, and keep them focused on what matters when everything around them is in motion. Depending on the engagement, you may contribute to solution design, own delivery coordination, or build within a larger team.

Requirements

  • AI is embedded in how you build, not something you reach for on select tasks. You use it across every phase of delivery: designing, building, testing, documenting. You can name exactly which tasks you've offloaded to AI, how much time it frees, and where your judgment is what AI can't replace.
  • 3–5 years in a client-facing delivery or implementation role, with direct accountability for whether systems work in practice, not just whether they shipped.
  • Hands-on technical depth: you have built complex systems with forms, automations, integrations, and data models, and you understand the tradeoffs at each layer.
  • You communicate across the room, equally fluent with C-level sponsors, technical stakeholders, and the business SMEs whose daily work is changing. You know what each audience needs to hear and how to earn their trust.
  • You read the question behind the question. Customer requests often reflect what's comfortable, not what's needed. You surface the real constraint, present trade-offs persuasively, and are direct enough to redirect a customer toward what will work when they're defaulting to what they know.
  • You can read whether "this won't work" is a design problem or a change management problem, and you handle both.
  • You hold yourself to outcomes, not delivery.
  • You have mastered a complex platform quickly before and can do it again within 90 days.
  • Proven ability to work collaboratively with Product, Engineering, and Sales to drive outcomes and ensure cross-functional alignment.

Responsibilities

  • Run recurring customer sessions with the operators and builders who will live in the system, surfacing the ground-level realities that change what gets built and how.
  • Build the interfaces, field agents, automations, data models, and integrations that translate a solution vision into working systems.
  • Make the calls that close the gap between designed and real: when user feedback signals a design issue, bring the solution, not just the flag.
  • Build efficiently with AI and reinvest the saved time in customer engagement; customer-facing time is actively measured and valued on this team.
  • QA your own work against how users will actually behave, not just whether automations fire correctly.
  • Create reusable build patterns that extend impact beyond individual engagements.
  • Achieve full Airtable platform proficiency within 90 days; advanced work across interfaces, automations, data modeling, and integrations is the baseline expectation.

Benefits

  • restricted stock units
  • incentive compensation
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