This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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.
Job Responsibility
The customer outcome: You are the on-the-ground DRI
Repeatable delivery: On time, at quality, with deployment standards you define and enforce
The next workstream: You see where AI unlocks new business value inside an account before the customer does
Unsticking what's stuck: When something is blocked, you go fix it
Feedback that shapes the product: You bring what's working and what isn't back to product and leadership
Requirements
Experience from one of three places we've hired strong Deployment Strategists out of: (1) operators at companies that deploy enterprise AI or data products (Palantir DS or FDE-style roles, and the equivalents elsewhere), (2) Strategy consultants from BCG, McKinsey, or Bain who've moved into tech because they want to own outcomes, or (3) technical PMs or engineers who got pulled into the business and customer side and never looked back
5-8 years in high-growth, high-ambiguity environments
A technical or quantitative background (CS, engineering, economics, statistics, STEM) helps
Low ego, high hunger
A diagnose-before-you-solve instinct
Zero jargon
Technical credibility
Commercial instinct
Grit
Willingness to travel 30-50 percent
Nice to have
Hands-on experience with enterprise AI or data infrastructure products
Deeper industry knowledge in healthcare, financial services, or consumer