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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.
Job Responsibility:
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
Requirements:
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 have:
Familiarity with model and AI training workflows
Work experience in a high-growth company environment, including working cross-functionally and wearing multiple hats