Director of Product Management, Generative AI
MozillaFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Compensation packages include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries, determined by work location and additional factors like skills, experience, and interview performance.
This information is not specified in the job description.
Ideal candidates have a technical degree in computer science or engineering, 4+ years building platform/SDK/enterprise products, strong understanding of modern AI technologies, experience with products for engineering users, and some coding experience like Python. Excellent communication, leadership skills, and ability to work in fast-paced, ambiguous environments are also key.
The role involves working in a fast-paced, ambiguous environment at the intersection of customer delivery and platform development, leading cross-functional teams on complex projects.
Strong candidates have 4+ years building platform or enterprise products, deep AI knowledge, experience creating successful developer experiences, technical background with coding skills, and proven ability to lead cross-functional teams in ambiguous settings.
AI platform for data and models
Scale AI provides a platform that helps businesses develop AI applications by utilizing their enterprise data to customize generative models. The platform includes tools for collecting, curating, and annotating data, as well as features for evaluating and optimizing models. Scale works with a variety of clients, including major tech companies like Microsoft and Meta, government agencies such as the U.S. Army and Airforce, and startups like Brex and OpenSea. What sets Scale apart from its competitors is its comprehensive suite of tools and services that focus on safely unlocking the value of AI. The company's goal is to enhance the performance of advanced language models and generative models, making AI more accessible and effective for its clients.