management
Posted 5 days agoHead of Engagement Management
at scaleai
San Francisco, United StatesOn-site
Responsibilities
- Lead and develop a team of Engagement Managers covering Scale's most strategic GenAI lab accounts — hiring, coaching, setting goals, managing performance, and resource planning and allocation across accounts as priorities shift.
- Own account growth strategy for your customer(s), with full accountability for retention, expansion, and commercial development against revenue and growth targets.
- 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.
- Identify and develop new demand generation opportunities in partnership with GTM, and coordinate and track GTM activities across teams at Scale.
- Set the standard for how your team translates sometimes ambiguous research needs into well-defined human-data programs.
- Build the processes and best practices that evolve the Engagement Management function as Scale's GenAI business and customer set grow. What we’re looking for:
Requirements
- As Head of Engagement Management, you will own account management and growth strategy for one or several of Scale’s most strategic GenAI customers, working across GTM, ML, finance, and Delivery Operations teams to develop sustainably successful growth plans.
- You'll operate at the center of the relationship — serving as the senior, operationally grounded thought partner to some of the world's leading AI research teams and the internal owner of how Scale grows with them.
- You'll build deep relationships with our most important customer contacts, including ML researchers, navigate challenging conversations with confidence rooted in operational knowledge, and earn new work by driving exceptional customer outcomes.
- Your team won't run data pipelines directly — instead you will own the customer relationship end to end, translate complex research needs into human data programs, partner closely with the operations, engineering, and ML teams who execute them, and think strategically about how to sustainably grow the account.
- Partner across GTM, ML, Finance, and Delivery Operations to build sustainable, well-resourced account coverage plans and resolve cross-functional tradeoffs.
- A technical foundation (academic or professional exposure to CS, Engineering, Economics, Statistics, or another STEM field) and a deep understanding of the ML training lifecycle. Hands-on
- experience working with data or AI/ML models through engineering, research, a technical product role, or engagement management itself8.
- 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 leadership role at a high-growth AI company. •
- 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 are expanding our team to accelerate the development of AI applications.
Experience
- 6+ years in a technical product/program management, customer success, and/or consulting role, including significant customer ownership in B2B environments.
- 2+ years managing a team, with a track record of hiring, developing, and retaining strong performers.
Benefits
- 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.
- benefits such as a commuter stipend.
- For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $224,800 — $281,000 USD
- We comply with the United States Department of Labor's Pay Transparency provision .
Contact
- If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.
Additional details
- You will manage a team of Engagement Managers aligned to the account, overseeing their work across project oversight, tracking, escalation, and customer relationship management.
- You’ll also be responsible for identifying and developing new demand generation opportunities in partnership with other teams at Scale.
- The ideal candidate pairs a technical foundation with proven judgment in high-stakes, client-facing settings, and brings a track record of building and leading strong teams. What you’ll do:
- Hold internal teams accountable to customer quality and throughput expectations.
- Demonstrated ownership of account growth — building new relationships and expanding existing accounts against commercial targets.
- An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results. Ideally you’d have:
- Experience scaling a customer-facing or delivery function (process, tooling, or team build-out).
- Additionally, this role may be eligible for additional
- Please reference the job posting's subtitle for where this position will be located.
- 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: