Associate Product Manager - New Grad University San Francisco, CA

Company:  Scale AI, Inc.
Location: San Francisco
Closing Date: 23/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

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.

Compensation 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.

Please reference the job posting's subtitle for where this position will be located.

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.

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.

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