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AI Product Manager, Generative AI
San Francisco, CA


Generative AI has taken the world by storm – from its potential to provide personalized tutors to every student to increasing productivity in the workplace to upending the way people search for information. We are building a product team excited to impact the industry. 

At Scale, we are building the Generative AI Data Engine to power the most advanced large language model research teams. We do this by building infrastructure around human-powered datasets, world-class Reinforcement Learning with Human Feedback (RLHF), model evaluation and more. 

Our product surface area spans multiple customer bases including ML researchers who train and evaluate models on our datasets, our network of experts (creative writers, physics PhD’s, coders etc) that provide human feedback on models and our internal operations teams that manage the quality of human-powered datasets.

Scale is looking for product managers who are excited about advancing Generative AI. This position is based in San Francisco and reports to our Director of Product, Kate Park.

Product Areas you might own:

  • Building the most advanced ML researcher-facing product that showcases the impact of Scale’s Data Engine on customer models
  • Building the world’s highest quality and largest expert network (creative writers, physics PhD’s, coders etc)
  • Developing incentives and experiences to drive engagement, retention and quality 
  • Defining quality metrics of human-powered datasets as well as the ML-powered systems that enable improvement to those metrics

You will:

  • Own products areas crucial to our business and be responsible for end-to-end product development by understanding customer painpoints, defining product requirements, managing development and testing, and launches
  • Be the voice of the user and create a tight feedback loop between users and Scale
  • Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance
  • Set the product vision and strategy, communicating to leadership and defining success metrics

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 product management or software development
  • Experience operating in a fast-paced environment with ambiguity
  • Working knowledge of SQL and some coding skills (Python)
  • Excellent communication and presentation skills
  • Experience with products leveraging AI. Coursework or experience in training neural networks is a plus

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is [$164,800 - $230,400]. 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 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.

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