AI Product Manager, Insights
Scale AI
Software Engineering, Product, Data Science
San Francisco, CA, USA
USD 206,800-258,500 / year + Equity
Posted on Mar 6, 2026
The Role
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.
Responsibilities
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$206,800—$258,500 USD
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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.
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
- 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.
- Experience in Model Evaluation, ML Engineering or Technical Research.
- Experience designing or curating datasets (RLHF, SFT data)
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$206,800—$258,500 USD
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
