# Engagement Management Lead

**Company:** [Scale AI](https://hotfix.jobs/companies/scale-ai)
**Location:** San Francisco, CA, New York, NY
**Role:** Account Management
**Salary:** $164k – $205k/yr
**Experience:** 5+ years
**Skills:** Machine Learning, Generative AI, Ml Training Lifecycle, Program Management, Client Relationship Management, Technical Product Management, Ai Models, Data Management, Stem, Consulting
**Posted:** 2026-04-20

> Leads engagement for strategic Generative AI customers, owning project delivery, building deep relationships with researchers, navigating complex discussions, and driving expansion. Requires 5+ years in consulting, technical PM, or program management with ML understanding and STEM background.

## Job Description

## 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

## 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

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