Head of Delivery (New York)

Scale AI
New York, NY

As Head of Delivery Operations at Scale, you will be responsible for driving world-class execution across our delivery organization, ensuring our most complex, high-impact AI and ML programs are executed with precision, efficiency, and customer obsession. Your mandate spans both tactical execution and strategic leadership , from rolling up your sleeves to solve project-level bottlenecks, to scaling the systems, tooling, and people that will define the next generation of delivery excellence at Scale.

Youll partner cross-functionally to deliver exceptional outcomes for our customers, while continuously pushing the boundaries of what operational excellence looks like in AI. You will help shape the direction of the delivery org and ensure we're set up to win as we scale with the most ambitious AI customers in the world. This role is ideal for someone who thrives on owning complex problems, delivering results fast, and scaling teams in a dynamic, high-growth environment.

You will:

  • Lead and manage a team of senior operations leaders, guiding the development, growth, and performance of a rapidly scaling organization.
  • Oversee and own end-to-end operation execution across multiple complex customer programs, ensuring outcomes are met with speed, quality, and reliability.
  • Partner closely with Product, Engineering, and Go-To-Market teams to build systems and workflows that are repeatable, efficient, and tailored to customer needs.
  • Dive deep into metrics and operations to identify bottlenecks and opportunities, and drive continuous improvements across processes and tools.
  • Act as a thought partner to executive leadership on how we evolve and scale our delivery capabilities in service of the companys broader strategy.
  • Define and reinforce delivery standards, SLAs, and execution excellence across all customer programs.
  • Champion a culture of ownership, innovation, and high performance across the delivery organization.

Ideally, youd have:

  • 6+ years of experience in scaling large-scale operational efforts at high-growth startups, or in founding/co-founding and operating fast-paced companies.
  • A proven ability to build and lead high-performing teams, especially in execution-heavy or customer-facing functions.
  • Deep operational fluency. You are data-driven, detail-oriented, act with urgency, and are energized by complex, cross-functional challenges.
  • Experience designing and scaling systems, processes, and teams across multiple customer segments and product lines.
  • Strong product intuition and comfort working closely with technical teams.
  • Experience working in or adjacent to AI/ML, or in tech-forward services organizations (a plus, but not required).

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 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. Youll 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:

$196,000 - $245,000 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, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. 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.

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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Posted 2025-08-10

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