The shift from traditional software to AI is one of the most important transitions of our time, and the frontier AI labs driving it depend on Scale to do it. As an Engagement Management Lead on Scale's Generative AI team, you'll operate at the center of our most strategic frontier-lab relationships — serving as a trusted, operationally grounded thought partner to the world's leading AI research teams. You will also directly oversee account management and growth strategy for the customers to which you’re assigned.
You'll build deep relationships with GenAI researchers and other key customer contacts, navigate challenging conversations with confidence rooted in operational knowledge, and earn new work by driving exceptional customer success. The strongest EM Leads are naturally empathetic and excel at building long-term relationships through diligent problem solving and thoughtful, strategic discussion.
You won't run data pipelines yourself — you own the customer relationship end to end, translate research needs into complex human-data programs, partner closely with the operations, engineering, and ML teams who execute them, and think strategically about how to sustainably grow Scale’s GenAI business. The ideal candidate pairs a technical foundation with proven judgment in high-stakes, client-facing settings.
What you’ll do:- Own a portfolio of complex, strategic Gen AI accounts with full accountability for customer success and commercial development.
- Build and maintain deep, trust-based relationships with frontier AI lab researchers and operations leads, serving as a thought partner across the project lifecycle from ideation to execution.
- Translate ambiguous customer requirements into well-defined human-data programs run by Scale's internal delivery teams.
- Navigate sometimes challenging customer conversations about quality, throughput, and delivery expectations with confidence and clarity grounded in deep operational knowledge.
- Identify and develop expansion opportunities through close, consultative customer engagement.
- Partner cross-functionally with operations, engineering, and planning teams to improve delivery and drive better customer outcomes.
- 5+ years in consulting or in a technical product or program management role.
- A proven track record in B2B, client-facing experience — including building and expanding relationships and navigating complex customer dynamics.
- A technical foundation (academic or professional exposure to CS, Engineering, Economics, Statistics, or another STEM field).
- Enough understanding of the ML training lifecycle to discuss use cases meaningfully with technical customers.
- A graduate degree (PhD, MS) or research experience in a STEM field.
- Experience at a frontier lab or a company developing foundational models, or a technical role at a high-growth AI company.
- Hands-on experience working with data or AI/ML models — through engineering, research, or a technical product role.
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 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 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.
Skills Required
- 5+ years of work experience
- Experience in consulting or as a technical product or program management
- Proven track record in B2B client-facing roles
- Understanding of the ML training lifecycle
- Technical background in CS, Engineering, Economics, Statistics, or another STEM field
Scale AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.
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Healthcare Strength — Healthcare coverage is described as comprehensive across medical, dental, and vision, with flexibility to choose plans that fit individual or family needs. A monthly wellness stipend further supports physical and mental wellbeing expenses.
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Equity Value & Accessibility — Equity-based compensation is included in eligible packages, positioning ownership as a meaningful component of total rewards for many full-time roles. An employee stock purchase plan also provides an additional pathway to participate in potential upside.
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Leave & Time Off Breadth — Paid time off is positioned as generous with a flexible policy intended to support recharging and burnout prevention. Paid holidays and paid sick days are also part of the time-off offering.
Scale AI Insights
What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
