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 datasets
- Work with top researchers across the industry to help them improve the performance of their models
- Work with exec leaders to determine and execute the product strategy of the business
- Own end-to-end product development by understanding customer painpoints, defining product requirements, managing development and testing, and launches
- Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance
Must be able to commute to the San Francisco Office 2x weekly.
Ideally, you’d have:
- Technical degree in computer science, engineering, or related field
- 4+ years of experience in building ML-powered products
- Experience operating in a fast-paced environment with ambiguity
- Working knowledge of SQL and some coding skills (Python)
- Excellent communication and presentation skills
The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $164,800- $197,760. Compensation packages at Scale 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Scale employees are also granted Stock Options that are awarded upon board of director approval. 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.
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.
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