Engagement Management Lead

Scale AISan Francisco, CA

About The Position

Scale's Generative AI business is experiencing significant growth. Engagement Managers (EMs) in this role are both externally customer-facing and internally operationally driven, operating at the core of Scale's most strategic customer relationships. They serve as trusted operators and thought partners to leading AI research teams, acting as the primary contact for Gen AI customers and advocating for customer data leaders and engineering/operations teams. The role requires a strong interest in how high-quality data influences Gen AI models and a bias towards developing repeatable, scalable solutions for consistent delivery. The ideal candidate builds deep relationships with researchers and customer leads, confidently navigates difficult conversations, and has a proven track record of securing new work through excellent execution and strong relationships. They are empathetic and skilled at fostering long-term relationships through diligent problem-solving and strategic discussions.

Requirements

  • 5+ years of work experience, with experience in consulting or as a technical product or program management role
  • A proven track record in B2B client-facing roles, including building and expanding relationships and navigating complex customer dynamics
  • Ability to understand the ML training lifecycle and discuss use cases meaningfully with technical customers
  • A technical background (education or professional experience with CS, Engineering, Economics, Statistics, or another STEM field)

Nice To Haves

  • Graduate degree (PhD, MS) or research experience in a STEM field
  • Experience at a frontier lab or company developing foundational models, or in a technical role at a high-growth AI company
  • Hands-on technical experience working with data or AI/ML models, whether through engineering, research, or a technical product role

Responsibilities

  • Own a portfolio of complex, strategic projects with full accountability for delivery, quality, customer sentiment, and commercial outcomes
  • Build and maintain deep, trust-based relationships with customer researchers and leads, serving as a thought partner throughout the project lifecycle
  • Navigate difficult customer conversations around pricing, quality, and delivery expectations with confidence and clarity
  • Identify and develop expansion opportunities through close customer engagement and a strong track record of execution

Benefits

  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • A learning and development stipend
  • Generous PTO
  • Equity based compensation, subject to Board of Director approval
  • Commuter stipend (may be eligible)
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