Staff AI Product Manager, Generative AI at Scale AI
San Francisco, CA
About the Job
Scale is at the forefront of enabling Machine Learning across multiple industries by improving the world’s leading Generative AI and Large Language Models. We are building the Generative AI Data Engine to push the boundaries of model development
We do this via human-powered datasets, world-class Reinforcement Learning with Human Feedback (RLHF), model evaluation and more
We build products for AI research teams training models and the world’s largest marketplace of human intelligence.We’re looking for an AI Product Manager to build intuitive ML-assisted tooling for generating human data, data quality measurement platforms, and delightful AI researcher-facing product.This position reports to our Director of Product, Kate Park.You will:Build the products that will allow the world’s leading AI labs to build their training datasetsWork with top researchers across the industry to help them improve the performance of their modelsWork with exec leaders to determine and execute the product strategy of the businessOwn end-to-end product development by understanding customer painpoints, defining product requirements, managing development and testing, and launchesLead cross-functional teams including engineering, product design, operations, marketing, go-to-market and financeMust be able to commute to the San Francisco Office 3x weekly. Ideally, you’d have:Technical degree in computer science, engineering, or related field6+ years of experience in building ML-powered productsExperience operating in a fast-paced environment with ambiguityWorking knowledge of SQL and some coding skills (Python)Excellent communication and presentation skillsCompensation 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.The base salary range for this full-time position in the location of San Francisco is:$212,000—$254,400 USDPLEASE 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, we believe that the transition from traditional software to AI is one of the most important shifts of our time
Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI
Our products power the world's most advanced LLMs, generative models, and computer vision models
We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S
Army and U.S
Air Force, and enterprises including GM and Accenture
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 affirmative action employer and 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
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 do this via human-powered datasets, world-class Reinforcement Learning with Human Feedback (RLHF), model evaluation and more
We build products for AI research teams training models and the world’s largest marketplace of human intelligence.We’re looking for an AI Product Manager to build intuitive ML-assisted tooling for generating human data, data quality measurement platforms, and delightful AI researcher-facing product.This position reports to our Director of Product, Kate Park.You will:Build the products that will allow the world’s leading AI labs to build their training datasetsWork with top researchers across the industry to help them improve the performance of their modelsWork with exec leaders to determine and execute the product strategy of the businessOwn end-to-end product development by understanding customer painpoints, defining product requirements, managing development and testing, and launchesLead cross-functional teams including engineering, product design, operations, marketing, go-to-market and financeMust be able to commute to the San Francisco Office 3x weekly. Ideally, you’d have:Technical degree in computer science, engineering, or related field6+ years of experience in building ML-powered productsExperience operating in a fast-paced environment with ambiguityWorking knowledge of SQL and some coding skills (Python)Excellent communication and presentation skillsCompensation 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.The base salary range for this full-time position in the location of San Francisco is:$212,000—$254,400 USDPLEASE 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, we believe that the transition from traditional software to AI is one of the most important shifts of our time
Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI
Our products power the world's most advanced LLMs, generative models, and computer vision models
We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S
Army and U.S
Air Force, and enterprises including GM and Accenture
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 affirmative action employer and 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
accommodations@scale.com
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.
