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 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. These are profiles that have worked well, we are always open to other profiles that fit our role requirements.
5-8 years in high-growth, high-ambiguity environments. A technical or quantitative background (CS, engineering, economics, statistics, STEM) helps.
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. You are curious enough to push back on engineering leads when the architecture or the accuracy story doesn't hold up.
Commercial instinct. You think in business levers. You articulate ROI without prompting and spot upsell logic the AE 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

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. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$192,800—$241,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst& Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

AI Deployment Strategist, Enterprise

Scale AI

Job Description

You will own:

Ideally, you'd have:

Nice to have:

About Us:

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