AI Product Manager, Insights

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 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 Who You Are (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 Have Experience in Model Evaluation, ML Engineering or Technical Research. Experience designing or curating datasets (RLHF, SFT data) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. 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: $205,600 $257,000 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, disab ... (truncated, view full listing at source)