About The Role

Scale is accelerating the development of AI across the world’s most important organizations. Our enterprise delivery teams are the tip of the spear—shipping outcomes inside complex customer environments. We’re hiring an Enterprise Operations Lead to build and run the execution machine that makes enterprise delivery predictable, scalable, and excellent.

You’ll lead a team of Delivery Operations Managers, set the operating cadence for customer engagements, and design the systems that turn ambiguity into shipped milestones. This is a senior, hands-on leadership role: you’ll coach operators, establish standards, and personally step into high-severity “red zones” to stabilize delivery and reset plans with customer and internal leadership.

You will

• Lead and develop a team of Delivery Operations Managers across multiple enterprise engagements; set the bar for operational excellence and consistent execution.
• Build and run the Execution Machine: translate customer outcomes into engagement-level OKRs; drive weekly operating reviews that turn metrics into action.
• Own integrated client delivery schedules (Gantt charts / plans): milestones, dependencies, critical path, resourcing, buffers, and change-control discipline.
• Establish milestone governance: definitions of done, entry/exit criteria, acceptance criteria, and tight scope management when requirements shift.
• Run delivery cadences that drive closure (not theater): standups, risk/dependency reviews, exec updates, and escalation paths.
• Create hard accountability loops: every deliverable has a DRI, due date, and definition of done—work progresses without reminders.
• Standardize a Single Source of Truth (SSOT) for every engagement: artifacts, decisions, risks, owners, plans, and comms history.
• Build AI-powered tooling and automation to eliminate manual overhead (trackers, update drafting, artifact organization, reminders, SLA monitoring).
• Own key enterprise operational interfaces: client IT integration playbooks (VDI/VPN, access, device procurement), plus finance/compliance operations (invoicing coordination, audit schedules, documentation flows).
• Deliver crisp, executive-ready reporting to customers and internal leadership with a ‘no surprises’ philosophy—good news early, bad news earlier.
  
  

Ideally, you’d have

• 7–12+ years in delivery operations, technical program management, enterprise operations, implementation/program leadership, or forward-deployed environments.
• 2+ years people management (or clear evidence leading multi-person delivery pods with accountability).
• Demonstrated ability to run enterprise delivery through OKRs, integrated plans/Gantt charts, milestones, and rigorous accountability.
• Strong stakeholder presence with customers and internal leadership; calm and decisive under pressure.
• Technical fluency to engage credibly with senior engineers and IT stakeholders (integrations, dependencies, delivery risk).
• Meticulous operational hygiene: documentation, metrics, artifact management, and clear written communication.
• Builder mindset: designs systems that prevent recurrence; uses AI/automation to reduce operational drag.
• Nice to have: enterprise AI/ML deployment exposure; familiarity with procurement/security workflows; invoicing/rev-rec coordination; audit readiness.
  
  

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. 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:

$215,600—$269,500 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, Cisco, DLA Piper, 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.