AI Product Manager, Insights

Scale AISan Francisco, CA
1d

About The Position

We are looking for a highly analytical and strategic thinker to take ownership of our model evaluation analysis and insight generation. Our analysis has established a high standard for deep-dive analysis of model evaluation. We need someone who can not only maintain this cadence but elevate it, turning raw result data into a roadmap for model improvement.

Requirements

  • Experience: You have 5 - 10 years of experience in DS, ML, AI research and analysis
  • Structured Thinker: You organize your writing logically.
  • High Tolerance for Ambiguity: You can take a messy pile of notes and organize it into a coherent outline without needing your hand held.
  • Executive Presence: You are comfortable interviewing senior leaders and pushing back when an "insight" isn't actually insightful.
  • Cross Functionality: Be able to work cross functionally across ML researchers to clients.

Nice To Haves

  • Experience in Model Evaluation, ML Engineering or Technical Research.
  • Experience designing or curating datasets (RLHF, SFT data)

Responsibilities

  • Own the creation of model evaluation from initial hypothesis, data scraping to final publication.
  • Go beyond aggregate metrics (e.g., "Accuracy is 85%"). deeply analyze why the model failed on the other 15%. Identify semantic patterns, edge cases, and systemic hallucinations in raw model outputs.
  • Review raw data sets, meeting transcripts, and research notes to identify the "so what?" We need to turn these findings into a logical hierarchy
  • You will act as the bridge between the data and the narrative by structuring findings into a logical hierarchy where the most critical "hook" lands first, followed by the supporting evidence

Benefits

  • Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.
  • this role may be eligible for additional benefits such as a commuter stipend.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

1,001-5,000 employees

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