Engagement Manager

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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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-q