About the job
SummaryBy Outscal
Scale is seeking a New Grad Associate Product Manager to build intuitive ML-assisted tooling for generating human data, data quality measurement platforms, and AI researcher-facing products. You will lead product initiatives, own end-to-end development, and have direct revenue impact. Must have PM/SWE/ML internship experience, strong ownership, leadership, problem-solving, SQL, Python, and excellent communication skills.
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 Associate Product Manager - New Grad to build intuitive ML-assisted tooling for generating human data, data quality measurement platforms, and delightful AI researcher-facing products.
As an APM, you will:
- Lead product initiatives across engineering, design, marketing, and go-to-market that will allow the world’s leading AI labs to build their training datasets
- Own end-to-end product development by understanding customer pain points, defining product requirements, managing development and testing, and launches
- Have direct impact over $XX millions in revenue
Requirements:
- A graduation date in Fall 2024 or Spring 2025 with a Bachelor’s degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics)
- Prior PM/SWE/ML internship experience where you have demonstrated strong ownership, a knack for leadership, and strategic problem-solving
- Experience operating in a fast-paced environment with ambiguity
- Working knowledge of SQL and some coding skills (Python)
- Excellent communication and presentation skills
- Must be able to commute to the San Francisco Office 3x weekly.