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Scale AI

Engagement Manager

Posted 22 Days Ago
In-Office
New York, NY, USA
161K-201K Annually
Mid level
In-Office
New York, NY, USA
161K-201K Annually
Mid level
Engagement Managers will be responsible for managing customer relationships, overseeing project execution, and ensuring timely delivery of Scale's products and services while monitoring performance and improving operational efficiencies.
The summary above was generated by AI

Scale's Generative AI business is continuing to see tremendous growth and expansion. Engagement Managers (EMs) are the combination of externally customer-facing and internally operationally driven. In this role, you will be the primary owner of the customer relationship, managing ongoing projects and driving end-to-end engagements from new projects and pilots, owning the account execution, working cross-functionally to ensure Scale products and services are delivered consistently and on-time. Within Scale you represent the customer, aligning their objectives to how Scale's operations and product teams execute and deliver.

The ideal candidate is organized, execution-focused, and thrives on managing complexity. Precision across tracking, documentation, quality alignment, and customer follow-through is what makes customers successful and builds the trust that earns Scale more work. You will be on the front lines of ensuring that these customers become passionate, lifelong Scale partners.

You will:
  • Own end-to-end execution and delivery for assigned customer projects, from kickoff through completion and quality feedback
  • Manage customer communication, action items, and follow-ups across multiple concurrent projects
  • Monitor delivery against SLAs, budget, and quality standards, proactively identifying risks and escalating blockers with proposed solutions
  • Review, track and improve operational performances and be obsessed with continuous improvement
  • Partner cross-functionally with operations and planning teams to improve delivery efficiency and drive better outcomes for customers
Ideally you'd have:
  • 3 to 5 years of work experience, with experience in consulting, technical program management, or project coordination
  • A track record of managing multiple concurrent workstreams with strong attention to detail and follow-through
  • Experience in B2B client-facing roles where execution and delivery were core responsibilities
  • An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results
  • A technical background (education or professional experience with CS, Engineering, Economics, Mathematics, or another STEM field)
Nice to haves:
  • Familiarity with model and AI training workflows
  • Work experience in a high-growth company environment, including working cross-functionally and wearing multiple hats

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:
$160,800$201,000 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 [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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