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Scale AI

Engagement Manager

Scale AI · San Francisco, CA; New York, NY

Posted about 2 months ago

or apply directly on Scale AI's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Scale AI's roles stay open a median of 66 days
Reposted
No
Salary listed
No
2% of Scale AI's roles list one
Ghost-job risk at Scale AI
high
192 stale, 5 reposted of 217 open
Hiring momentum
270 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Scale AI's own greenhouse board since 2026-08-03. Full hiring picture for Scale AI.

About this role

As a Frontier Data Strategist at Scale, you will collaborate with leading AI researchers to identify and design data programs that support the evolution of AI models. Your role involves building relationships with researchers, understanding their data needs, and translating research goals into actionable projects. You will work cross-functionally with internal teams to align customer needs with Scale's product roadmap and ensure successful program delivery.

Our read on this posting2.6out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Scale AI as an employer.

What you need

  • 3+ years in a technical AI/ML role, such as ML engineering, research, applied science, technical product management, or post-training data work at a lab or data provider
  • Working fluency in the LLM training lifecycle, especially post-training: SFT, preference data, reward modeling, RL environments, evaluations, etc.
  • The ability to read a research paper and form a view on what data would improve a given capability
  • Experience earning credibility with technical stakeholders through substance, and enjoying the relationship side of the work
  • Comfort turning ambiguous requests into structured plans with clear scope, timelines, and resource estimates
  • A degree in CS, engineering, math, physics, or another quantitative field.

Nice to have

  • Hands-on experience designing training data, evals, or RL environments
  • Experience at a frontier lab, model developer, or AI data company
  • Some customer-facing experience in pre-sales, solutions engineering, or technical consulting
  • Experience founding a company or early-stage startup leadership experience.

What you get

  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Potential commuter stipend
  • Equity-based compensation subject to Board of Director approval.

Worth weighing

  • No specific salary listed, but a range is provided for similar roles
  • Role involves significant cross-functional collaboration, which may require strong interpersonal skills
  • The position may require navigating ambiguous situations and translating them into structured plans.

Summarised from Scale AI's posting. Read the full original.

Listed by Scale AI on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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