AI Deployment Strategist, Enterprise

On-site in San Francisco, CA or New York, NY

About the role

Scale's Enterprise Applications business is growing rapidly as we develop reliable AI systems for the world's most important decisions. As an AI Deployment Strategist, you will be at the center of this mission, helping our largest 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.

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 blending customer strategy, operations, product strategy, and execution.

Responsibilities

• The customer outcome: You are the on-the-ground DRI (Directly Responsible Individual). Renewals and expansion happen because the deployment worked, and ensuring that success is your job.
• Repeatable delivery: Ensure projects are delivered 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: Identify where AI unlocks new business value inside an account before the customer does. Frame the case and bring it to life with our Account Executives and product teams.
• Unsticking what's stuck: When something is blocked, you go fix it—whether it involves Engineering, Product, Finance, Operations, or any other team.
• Feedback that shapes the product: Bring insights on what's working and what isn't back to product and leadership in an actionable way.

Requirements

• 5-8 years in high-growth, high-ambiguity environments.
• A technical or quantitative background (CS, engineering, economics, statistics, STEM) is helpful.
• Low ego, high hunger. You take direct feedback well, name your own weaknesses honestly, and run at hard problems.
• A diagnose-before-you-solve instinct. Hypothesis-driven, you ask two layers of questions before reaching for a framework.
• Zero jargon. You can turn a technical concept into business impact a CFO would act on, and a delivery plan an engineer would execute against.
• Technical credibility. No engineering degree required, but you are curious enough to push back on engineering leads when the architecture or accuracy story doesn't hold up.
• Commercial instinct. You think in business levers, articulate ROI without prompting, and spot upsell logic the Account Executive missed.
• Grit. You stick through tough periods; we are wary of project-hoppers.
• Willingness to travel 30-50 percent, which can include international trips depending on the account.

Nice to have

• Hands-on experience with enterprise AI or data infrastructure products.
• Deeper industry knowledge in healthcare, financial services, or consumer sectors.

Experience from one of these backgrounds is ideal (but not required): operators at companies that deploy enterprise AI or data products (e.g., Palantir DS or FDE-style roles), strategy consultants from BCG, McKinsey, or Bain who've moved into tech to own outcomes, or technical PMs/engineers who transitioned into business and customer-facing roles.

Pay

The base salary range for this full-time position in San Francisco, New York, or Seattle is $192,800—$241,000 USD. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The final salary will be determined during the interview process based on work location, job-related skills, experience, qualifications, interview performance, and relevant education or training.

Benefits

• Comprehensive health, dental, and vision coverage.
• Retirement benefits.
• A learning and development stipend.
• Generous PTO.
• Eligible roles may receive additional benefits such as a commuter stipend.
• Equity-based compensation, subject to Board of Director approval.