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Salary
$284k – $540k per year (Estimated)
Location
In office (New York)
Seniority
Senior · 12+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Scale AI is an American company founded in San Francisco in 2016 that supplies the training data, evaluation and tooling behind large artificial intelligence systems. It began with human-labelled annotation for autonomous driving and computer vision, then expanded into reinforcement learning from human feedback, expert data generation, model evaluation and full-stack deployment platforms for enterprises and governments. In 2025 Meta acquired a large minority stake and hired co-founder Alexandr Wang, after which the company continued under new leadership serving defence, public sector and commercial customers.

About Scale AI

Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We work with leading enterprises to bring generative AI safely into production-powering real-world impact through rigorous evaluation, deployment, and execution.

The Role

The Sr. Director, Forward Deployed Engineering (US East) will lead Scale’s enterprise customer engagements across the Eastern United States. This role sits at the intersection of customer leadership, applied AI, and execution-owning how Scale partners with Fortune 500 executives to design, build, and deploy AI-powered systems that deliver measurable business outcomes. As a regional leader and peer to Scale’s existing Forward Deployed leadership, you will manage and grow multidisciplinary teams of applied scientists and full-stack engineers, shape how we deliver agentic AI applications in customer environments, and set the bar for executive-level customer engagement. This is a high-impact leadership role in a period of regional expansion and organizational evolution.

You will:

  • Lead all US East enterprise customer engagements, serving as the senior technical and delivery executive for Scale’s most strategic accounts.
  • Partner closely with Sales, Product, and Engineering leadership to support customer acquisition, expansion, and long-term success.
  • Build and manage forward-deployed teams composed of applied scientists and full-stack software engineers, structured into customer-specific technical pods.
  • Own end-to-end delivery execution for customer deployments, ensuring reliability, rigor, and measurable business impact.
  • Guide teams in building production-grade, agentic AI applications for Fortune 500 enterprises.
  • Establish and enforce an evals-first approach to customer deployments, ensuring performance, safety, and reliability standards are met.
  • Lead senior-level technical conversations with customer executives, demonstrating Scale’s credibility as a trusted AI partner.
  • Support technical upsell conversations by articulating architectural tradeoffs, capabilities, and future-state possibilities (with commercial ownership held by AEs).
  • Hire, develop, and mentor forward-deployed leaders and ICs, including training teams on executive-level customer interaction and professional standards.
  • Help shape Scale’s regional forward-deployed strategy as part of a broader global and US restructuring.

Ideally you’d have:

  • 12+ years of experience in software engineering, applied ML, or AI systems, with significant leadership responsibility.
  • Proven experience leading customer-facing technical teams delivering complex systems for large enterprise customers.
  • Executive presence and credibility with senior Fortune 500 stakeholders, including experience navigating high-stakes technical discussions.
  • Strong technical foundation in either applied machine learning or full-stack / distributed systems engineering (strength in one, fluency in the other).
  • Demonstrated ability to translate ambiguous customer needs into concrete technical solutions and delivery plans.
  • Experience partnering with sales and product teams in pre-sales, expansion, and delivery contexts.
  • A track record of building, scaling, and managing high-performing multidisciplinary teams.

Nice to have:

  • Experience deploying generative AI or agentic systems in production enterprise environments.
  • Background in consulting, forward-deployed engineering, or professional services for technical products.
  • Experience building evaluation frameworks for ML or AI system performance.
  • Prior responsibility for regional or multi-account technical leadership.

Leveling Note

This role is flexibly leveled (Director to Sr. Director) based on candidate experience, scope, and demonstrated leadership impact.

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:

$285,200—$356,500 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 [email protected]. 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.

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