Overview
Scale\'s Enterprise Applications business is growing fast as we develop reliable AI systems for the world\'s most important decisions. As an AI Deployment Strategist you will help our largest customers build, launch, and scale groundbreaking GenAI solutions that redefine their industries. You will take 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 leading enterprises. You will guide projects from the first conversation through delivery, expansion, and measurable business outcomes. Within Scale, you will collaborate with Machine Learning, Engineering, 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 flawless execution of customer projects. You will own:
Client Leadership & Growth:
Own relationships with key enterprise customers and ensure every engagement runs smoothly, delivers value, and grows over time. Flawless Delivery & Execution:
Manage delivery across multiple workstreams, ensuring timelines, quality standards, and SLAs are met. Strategic Account Expansion:
Identify and pursue new opportunities within existing accounts that drive measurable business impact. Cross-Functional Problem Solving:
Collaborate with EPD, Finance, and Operations to remove blockers, drive efficiency, and continuously improve how we deliver. Strategic Feedback Loop:
Synthesize and communicate insights from customer engagements to inform the long-term product roadmap and strategic direction. Mastering Complexity & Ambiguity:
Bring structure, clarity, and momentum to complex projects in dynamic environments. Ideally, you\'d have:
5+ years of work experience in high-growth, high-ambiguity environments. Successful candidates have had experience in MBB consulting, banking or private equity or as a technical product or program management role in the tech industry, but we are open to alternative profiles. A technical background (education or professional experience within CS, Economics, Statistics, Engineering or STEM field) Exposure to GenAI solutions via your current role or personal projects A proven track record in building and expanding client relationships Ability to understand ML concepts and build strong relationships with technical customers Great cross-functional experience and collaborative ability Excellent verbal and written communications A track record of structured, analytics-driven problem solving A history of diligence and organization across multiple work streams An action-oriented mindset that balances creative problem solving with the scrappiness to deliver results Willingness to travel up to 50% depending on customer and deployment needs Nice to have:
Exposure to enterprise AI or data infrastructure products Deeper industry knowledge in healthcare, consumer, financial services Compensation & Benefits
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, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Directors 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. Location details: See the job posting subtitle for where this position will be located. For pay transparency, the base salary range for this full-time position in San Francisco, New York, and Seattle is:
$189,200 — $236,500 USD Important notes
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 high-quality data and full-stack technologies that power leading models, helping enterprises and governments build, deploy, and oversee AI applications that deliver impact. We work with industry leaders and government partners to accelerate AI development. We are an inclusive, equal opportunity workplace and do not discriminate based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or veteran status. We provide reasonable accommodations to applicants with disabilities. If you need assistance, contact accommodations@scale.com. We comply with the U.S. Department of Labor\'s Know Your Rights poster and Pay Transparency provisions. We collect, retain and use personal data consistent with our privacy policy.
#J-18808-Ljbffr
Scale\'s Enterprise Applications business is growing fast as we develop reliable AI systems for the world\'s most important decisions. As an AI Deployment Strategist you will help our largest customers build, launch, and scale groundbreaking GenAI solutions that redefine their industries. You will take 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 leading enterprises. You will guide projects from the first conversation through delivery, expansion, and measurable business outcomes. Within Scale, you will collaborate with Machine Learning, Engineering, 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 flawless execution of customer projects. You will own:
Client Leadership & Growth:
Own relationships with key enterprise customers and ensure every engagement runs smoothly, delivers value, and grows over time. Flawless Delivery & Execution:
Manage delivery across multiple workstreams, ensuring timelines, quality standards, and SLAs are met. Strategic Account Expansion:
Identify and pursue new opportunities within existing accounts that drive measurable business impact. Cross-Functional Problem Solving:
Collaborate with EPD, Finance, and Operations to remove blockers, drive efficiency, and continuously improve how we deliver. Strategic Feedback Loop:
Synthesize and communicate insights from customer engagements to inform the long-term product roadmap and strategic direction. Mastering Complexity & Ambiguity:
Bring structure, clarity, and momentum to complex projects in dynamic environments. Ideally, you\'d have:
5+ years of work experience in high-growth, high-ambiguity environments. Successful candidates have had experience in MBB consulting, banking or private equity or as a technical product or program management role in the tech industry, but we are open to alternative profiles. A technical background (education or professional experience within CS, Economics, Statistics, Engineering or STEM field) Exposure to GenAI solutions via your current role or personal projects A proven track record in building and expanding client relationships Ability to understand ML concepts and build strong relationships with technical customers Great cross-functional experience and collaborative ability Excellent verbal and written communications A track record of structured, analytics-driven problem solving A history of diligence and organization across multiple work streams An action-oriented mindset that balances creative problem solving with the scrappiness to deliver results Willingness to travel up to 50% depending on customer and deployment needs Nice to have:
Exposure to enterprise AI or data infrastructure products Deeper industry knowledge in healthcare, consumer, financial services Compensation & Benefits
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, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Directors 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. Location details: See the job posting subtitle for where this position will be located. For pay transparency, the base salary range for this full-time position in San Francisco, New York, and Seattle is:
$189,200 — $236,500 USD Important notes
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 high-quality data and full-stack technologies that power leading models, helping enterprises and governments build, deploy, and oversee AI applications that deliver impact. We work with industry leaders and government partners to accelerate AI development. We are an inclusive, equal opportunity workplace and do not discriminate based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or veteran status. We provide reasonable accommodations to applicants with disabilities. If you need assistance, contact accommodations@scale.com. We comply with the U.S. Department of Labor\'s Know Your Rights poster and Pay Transparency provisions. We collect, retain and use personal data consistent with our privacy policy.
#J-18808-Ljbffr