Enterprise AI Delivery Operations Lead at Scale Workforce LTD

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Jun, 26

Salary

105000.0

Posted On

13 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Delivery Management, Program Management, Operations, Execution Leadership, Stakeholder Management, Risk Management, Process Building, Automation, Client IT Integration, Logistics, Reporting, Compliance Operations, OKRs, Gantt Charts, Change Control, SSOT Maintenance

Industry

Software Development

Description

Role Summary Scale is accelerating the development of AI across the world's most important organizations. This role is the execution leader and operating-system builder that makes enterprise deployments succeed on the ground. You will keep engagements on track, anticipate what customers and forward-deployed teams need before they ask, and remove every obstacle standing between the team and great work. This is a combined scope role: you own delivery outcomes end-to-end (status, risk, blockers, stakeholder confidence) and you build the machine that runs deployments (SSOT, task systems, automation, client IT integration, logistics, reporting, and finance/compliance operations). What You'll Do Run the execution machine for each engagement: translate customer outcomes into OKRs, then into an integrated delivery plan (Gantt) with milestones, dependencies/critical path, DRIs, definitions of done, and change-control as scope shifts. Keep delivery on track end-to-end: maintain crisp status, track variance vs plan, surface risks early, and drive blockers to resolution so engineers stay focused on technical work. Own follow-through and accountability: run tight cadences to drive tasks to completion without reminders, ensure every open item has an owner + due date, and hold teams accountable to outcomes and deadlines. Build durable delivery systems and stakeholder trust: create playbooks and tracking systems (SSOT, action item/risk registers, reporting) that reduce friction, and maintain trusted customer relationships through clear, proactive communication. Maintain a flawless, easily accessible Single Source of Truth (SSOT) for all project artifacts so the team never has to search for information. Bring the full power of AI to daily operations: identify bottlenecks and build tools, trackers, and AI-driven workflows to automate administrative overhead. Spearhead seamless integration into client IT, data systems, and VDI/VPNs; coordinate device procurement and access in partnership with client stakeholders and Scale Corporate IT. Own scheduling, onsite travel logistics, and meeting follow-through across time zones; capture action items and proactively drive progress to completion. Own operational communications and reporting: draft regular (often daily) customer updates, monitor to unblock stalled threads, and deliver live/asynchronous reporting that provides transparent engagement health to customers and Enterprise/deployment leadership. Minimum Qualifications 3-5+ years of experience in delivery management, program/technical program management, or operations in a fast-paced, high-ambiguity environment (startup ops, consulting, or military logistics backgrounds can be strong fits). Extreme proactivity and ownership: closes loops without reminders; drives tasks to completion; holds self and others accountable. Comfort operating with senior customer stakeholders and senior engineers; confident presence in high-stakes rooms. Strong judgment and composure under pressure; ability to make good decisions quickly with incomplete information. Metrics-driven operator: owns and reviews delivery health KPIs weekly (e.g., on-time milestone rate, schedule variance, blocker aging, action item closure, risk hygiene, scope change rate, comms cadence/SLA, SSOT quality) and drives corrective actions until trends improve. Core Competencies Delivery leadership: status, risk, scope, and dependency management; stabilizing slipping engagements. Systems/process building with good taste: knows when to add structure vs. remove friction. AI/automation mindset: identifies repetitive work and builds workflows to reduce overhead. Client IT integration execution: access, procurement, VDI/VPN, tooling and permissions orchestration. Clear communication across technical and non-technical audiences; influences without authority. Preferred Qualifications Exposure to enterprise AI deployments, ML concepts, or software integration. Familiarity with enterprise IT procurement and security processes. Experience supporting invoicing, audit schedules, or revenue recognition workflows. Experience building lightweight operating systems (SSOT, cadences, templates) for forward-deployed teams. 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: $84,000—$105,000 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, 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 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.

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Responsibilities

This role involves leading the execution machine for enterprise AI engagements by translating outcomes into delivery plans, tracking progress, managing risks, and ensuring accountability across all tasks. Additionally, the lead is responsible for building durable delivery systems, automating overhead, and spearheading seamless integration into client IT infrastructure.