{"id":"07e265a70o","title":"Product Manager, Data Engine","posted_at":"2026-05-26T23:29:01.000Z","apply_url":"https://job-boards.greenhouse.io/scaleai/jobs/4670064005","locations":["Washington, DC"],"employment_type":"full_time","workplace_type":null,"seniority_level":"manager","description_language":"en","source_name":"greenhouse","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4670064005","salary":{"min":205600,"max":257000,"currency":"USD","period":"year","display":"$205,600–$257,000"},"job_summary":"Scale AI is a leader in AI development, providing high-quality data and full-stack technologies for government and enterprise applications. This role is for a Product Manager to lead the evolution of the Public Sector Data Engine, focusing on ML Ops infrastructure for computer vision and generative AI.","job_description":{"responsibilities":["Drive the roadmap for Public Sector ML Ops tools to serve as the foundation for AI system development and evaluation.","Support diverse customer profiles ranging from large-scale satellite/video labeling to bespoke ML Ops partnerships.","Partner with Engineering to make high-stakes design decisions on infrastructure, APIs, and model evaluation frameworks.","Align Engineering, Operations, and government stakeholders using structured thinking and high EQ."],"minimum_qualifications":["Background in Software Engineering, Field Engineering, or Vision Systems.","Experience in Computer Vision or ML Ops, including the model lifecycle.","Active Secret or TS/SCI security clearance.","Ability to read code and understand system architecture."],"preferred_qualifications":["Advanced degree in CS, Engineering, or a related field.","Practical experience designing, building, or evaluating large-scale Computer Vision models."]},"visa_sponsorship":null,"experience_years_min":null,"job_address":null,"job_city":"Washington","job_state":"DC","job_country":"US","location_lat":37.770975299999996,"location_lng":-122.4036404,"keywords":["machine learning","computer vision","infrastructure","collaboration","generative AI","stakeholders","architecture","high-quality","large-scale","performance","engineering","operations","full-stack","processing","inclusive","security","business","customer","labeling","internal","external","leading","testing","privacy","develop","design","vision","deploy","teams","video","Legal","data","APIs","art","ML","AI"],"company":{"name":"Scale AI","logo_url":"https://img.logo.dev/scale.com?token=pk_fWx5G5QrQMm-0Ud8BW3mBg&size=64&format=png","description":"Scale AI develops reliable artificial intelligence systems designed to support decision-making processes for enterprise organizations.","website_url":"https://scale.com/","linkedin_url":"https://www.linkedin.com/company/scaleai","glassdoor_url":"https://www.glassdoor.com/Overview/Working-at-Scale-EI_IE1656849.11,16.htm","x_url":"https://x.com/scale_AI","instagram_url":"https://www.instagram.com/scale_ai_/","youtube_url":"https://www.youtube.com/@Scale_AI","github_url":"https://github.com/scaleapi","huggingface_url":"https://huggingface.co/ScaleAI","tiktok_url":null,"crunchbase_url":"https://www.crunchbase.com/organization/scale-2","facebook_url":null,"employee_count_range":"1001-5000","employee_count":3736,"founded_year":2016,"headquarters":{"address":"303 2nd St, Floor 5, South Tower, San Francisco, CA 94107, United States","city":"San Francisco, CA","country":"US","lat":37.7879363,"lng":-122.4075201},"industry":"other","company_type":"startup","total_funding_usd":15900000000,"locations":["Berlin, Germany","Boston, MA","Budapest, Hungary","Colorado Springs, CO","Doha, Qatar","Dubai","Dubai, UAE","Hamptons Road, VA","Honolulu, HI","London, United Kingdom","Mexico City, Mexico","New York, NY","Riyadh","Riyadh, Saudi Arabia","San Diego, CA","San Francisco, CA","Seattle, WA","St. Louis, MO","Tampa, FL","Washington, DC"]}}