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Scale AI

Engagement Management Lead

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 Senior Frontier Data Strategist on Scale's Generative AI team, you will collaborate with leading AI labs to shape data strategies for next-generation models. Your role involves owning relationships with senior stakeholders, directing cross-functional teams to design complex human-data programs, and influencing product roadmaps based on customer insights. You'll also mentor team members and be responsible for scoping and delivering new opportunities.

Our read on this posting2.8out of 5
benefits
3/5
freshness
1/5
career value
5/5
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

  • 5+ years in a technical AI/ML role such as ML engineering, research, applied science, technical product management, or post-training data work
  • Deep fluency in the LLM training lifecycle, especially post-training
  • Track record of owning relationships with senior technical stakeholders
  • Evidence of shipping ambiguous, high-stakes technical programs from idea to delivery
  • Experience influencing a product or research roadmap without direct authority
  • Ability to read a research paper and form an opinion on data improvements

Nice to have

  • Hands-on experience designing training data, evals, or RL environments
  • Graduate degree (PhD, MS) or published research in ML or a related field
  • Experience at a frontier lab, model developer, or AI data company
  • Experience mentoring or leading technical teammates
  • Background in founding or leading at an early-stage startup, or in pre-sales, solutions engineering, or technical consulting

What you get

  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Potential commuter stipend
  • Equity-based compensation

Worth weighing

  • No specific mention of the tech stack used
  • Role involves significant cross-functional collaboration, which may vary in complexity
  • Compensation details are broad and determined during the interview process

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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