Senior Delivery Consultant

The shape of it

In the posting’s own words

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What it asks for · 9

• 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.

What the job covers

• 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.

Tools and skills named

Words the posting leans on

• automations4×
• build4×
• customer4×
• systems4×
• whether4×
• delivery3×
• integrations3×
• platform3×
• automations data2×
• built2×
• business2×
• change2×
• complex2×
• data models2×
• design2×
• direct2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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