Engagement Manager

Scale AI · San Francisco, CA; New York, NY · Gen AI Operations · listed April 20, 2026

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The shape of it

Seniority

Manager

Experience asked

2–3 years

Where

Not stated

Stated pay

$160,800 – $201,000 USD

Requirements listed

Length

810 words

In the posting’s own words

As an Engagement Manager on Scale's Generative AI team, you'll be the face of Scale to the world's leading AI labs and model builders — the labs training the foundational LLM and agent capabilities defining the field.

What it asks for · 5

3+ years of work experience in consulting, technical program management, or project management.
2+ years of experience in B2B client-facing roles.
Experience in a high-growth environment, working cross-functionally and wearing multiple hats.
A technical background (education or professional experience with CS, Engineering, Economics, Mathematics, or another STEM field)
Enough understanding of the ML training lifecycle to discuss use cases meaningfully with technical customers — or a clear ability to learn it quickly.

What the job covers

Own end-to-end account management for assigned frontier-lab customers, from opportunity scoping through project kickoff to completion.
Translate customer requirements into well-defined human-data programs run by Scale's internal delivery operations teams.
Manage customer communications, action items, and follow-ups across multiple concurrent projects with strong attention to detail.
Act as a consultative thought partner to Scale's customers, shaping their needs into clear, deliverable project outcomes.
Monitor delivery against customer throughput and quality standards, proactively flagging risks and escalating blockers with proposed solutions.
Partner cross-functionally with operations, engineering, and planning teams to improve delivery efficiency and drive better customer outcomes.

Tools and skills named

Models & research

Machine learning2×
LLM

Go to market

Account management
Customer success

Operations & finance

Program management
Project management

Data

Data pipelines

Ways of working

Technical writing

Words the posting leans on

customer11×
delivery6×
experience4×
project4×
cross-functionally3×
management3×
outcomes3×
partner3×
technical3×
clear2×
end2×
execute2×
field2×
follow-through2×
human-data programs2×
labs2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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