AI Deployment Strategist, Enterprise
crypto:applicationopsIC4Enterprise Operations
Compensation
Not disclosed
Scale's Enterprise Applications business is growing faster than ever in the quest to develop reliable AI systems for the world's most important decisions . As an AI Deployment Strategist you will be right at the center of it, helping our largest customers build, launch, and scale groundbreaking GenAI solutions that redefine their industries. You will take full ownership of our deployment success, turning bold ideas into real impact and ensuring every engagement delivers exceptional results.
In this role, you will work directly with data, engineering, business and AI leaders at some of the world's top Enterprises. You will guide projects from the first conversation through delivery, expansion, and measurable business outcomes. Within Scale, you will collaborate closely with Machine Learning, Engineering, Product, and Finance teams to streamline execution, improve processes, and shape our approach to enterprise delivery.
This is a fast-moving, high-impact role that blends customer strategy, operations, product strategy and execution. You will lead the team that serves as the voice of the customer and ensure their flawless execution of customer projects.
You will own:
The customer outcome: You are the on-the-ground DRI. Renewals and expansion happen because the deployment worked, and the deployment working is your job.
Repeatable delivery: On time, at quality, with deployment standards you define and enforce. When internal or external teams are not moving fast enough, you push them.
The next workstream: You see where AI unlocks new business value inside an account before the customer does. You frame the case and bring it to life with our AE and product teams.
Unsticking what's stuck : When something is blocked, you go fix it. With Engineering, Product, Finance, Ops, whoever it takes.
Feedback that shapes the product: You bring what's working and what isn't back to product and leadership in a way they can act on.
Ideally, you'd have:
Experience from one of t