Engagement Manager

As an Engagement Manager on Scale's Generative AI team, you'll be the face of Scale to the world's leading AI labs and model builders — the labs training the foundational LLM and agent capabilities defining the field. You'll own these customer relationships end to end: translating what researchers need into the complex human-data programs our delivery teams execute, advocating for customer success internally, and earning Scale more work through precise, trustworthy follow-through. You'll work cross-functionally with Operations, ML, Engineering, and Finance to ensure the seamless delivery of Scale's GenAI products and services. You won't run data pipelines yourself — you own the customer relationship, shape requirements into delivery outcomes, and partner closely with the teams who execute them. The ideal candidate is organized, execution-focused, and thrives on managing complexity. Precision across tracking, documentation, and customer follow-through is what builds trust and wins repeat work. What you’ll do: - Own end-to-end account management for assigned frontier-lab customers, from opportunity scoping through project kickoff to completion. - Translate customer requirements into well-defined human-data programs run by Scale's internal delivery operations teams. - Manage customer communications, action items, and follow-ups across multiple concurrent projects with strong attention to detail. - Act as a consultative thought partner to Scale's customers, shaping their needs into clear, deliverable project outcomes. - Monitor delivery against customer throughput and quality standards, proactively flagging risks and escalating blockers with proposed solutions. - Partner cross-functionally with operations, engineering, and planning teams to improve delivery efficiency and drive better customer outcomes. What we’re looking for: - 3+ years of work experience in consulting, technical program management, or project management. - 2+ years of experience in B2B client-facing roles. - Experience in a high-growth environment, working cross-functionally and wearing multiple hats. - A technical background (education or professional experience with CS, Engineering, Economics, Mathematics, or another STEM field) - Enough understanding of the ML training lifecycle to discuss use cases meaningfully with technical customers — or a clear ability to learn it quickly. 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-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, Ernst & Young, 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 di

3+ years of work experience in consulting, technical program management, or project management. 2+ years of experience in B2B client-facing roles. Experience in a high-growth environment, working cross-functionally and wearing multiple hats. A technical background (education or professional experience with CS, Engineering, Economics, Mathematics, or another STEM field). Enough understanding of the ML training lifecycle to discuss use cases meaningfully with technical customers — or a clear ability to learn it quickly.