Description
Scale's Enterprise Applications business is growing rapidly as it develops reliable AI systems for the world's most important decisions. As an AI Deployment Strategist, you will be at the centre of this growth, helping large customers build, launch, and scale groundbreaking GenAI solutions that redefine their industries.
You will take full ownership of deployment success, turning bold ideas into real impact and ensuring every engagement delivers exceptional results. You will work directly with data, engineering, business, and AI leaders at top Enterprises, guiding 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.
Key responsibilities include:
- Ensuring customer outcomes: You are the on-the-ground DRI, responsible for renewals and expansion happening because the deployment worked.
- Delivering repeatable results: On time, at quality, with deployment standards you define and enforce.
- Identifying new business value: You see where AI unlocks new business value inside an account before the customer does, framing the case and bringing it to life with our AE and product teams.
- Unsticking blockers: When something is blocked, you go fix it, working with Engineering, Product, Finance, Ops, and whoever else is needed.
- Providing feedback: 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 three places we've hired strong Deployment Strategists out of: operators at companies that deploy enterprise AI or data products, Strategy consultants from BCG, McKinsey, or Bain who've moved into tech because they want to own outcomes, or technical PMs or engineers who got pulled into the business and customer side and never looked back.
We're looking for someone with 5-8 years in high-growth, high-ambiguity environments, a technical or quantitative background (CS, engineering, economics, statistics, STEM), low ego, high hunger, a diagnose-before-you-solve instinct, zero jargon, technical credibility, commercial instinct, grit, and willingness to travel 30-50 percent, which can include international trips depending on the account.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.