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.
What we're looking for: - 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.
Ideally you'd have: - 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 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:
$192,800-$241,000 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.
