Product Manager, Contributor Quality and Enablement

Scale AI is a 2-sided marketplace. On the demand side we have customers that need labeled data to train their AI models or AI applications. On the supply side we have millions of contributors distributed worldwide.

The biggest business problem we currently face is: identifying the right contributors from across the globe to complete tasks on a specific project. Identifying the right users enables us to deliver higher quality data to our customers sooner with less waste.

You will build products and systems to:

• Identify the right contributors to staff on each project
• Identify the right contributors to review tasks completed by other users
• Train contributors to understand what a good vs. bad task deliverable looks like

About the Role:

• Scale operates a global marketplace for talent working with Contributors in over 100 countries.
  
  
• Today each project we have with a customer operates in a very bespoke style. We need to standardize data across all projects and centrally predict which contributors will succeed sooner.
• This will affect the experience all new and existing contributors will have

• This is a highly cross functional role that will involve working with:
• Dedicated Eng design and data science staffing PMs across the org
• ML researchers to build models to predict which CBs will succeed
• Operators who run our projects and have hands on experience on whats worked for them
• Other enablement functions as we create course content

You will:

• Understand our business customer experience and ecosystem position
• Set the product strategy for the contributor quality & enablement team including running several experiments in parallel
• Develop and execute a data-driven contributor-focused product roadmap through close collaboration with senior leadership Operations Data Science Analytics Design and Engineering while balancing business needs.
• Translate customer and internal-user needs into clear well-defined functional and technical requirements backed by data analysis and deep understanding of our users
• Guide and interface closely with data analysis and engineering teams to define scope review and refine technical capabilities prioritize projects for release and define new opportunities.
• Build long-term instrumentation monitoring and evaluation capabilities for product performance tracking and to create product insights.
• Establish business cases and projected return on investment to identify and prioritize opportunities
• Partner with Finance and Business Leaders to manage the impact on the profitability of the overall business.

Ideally youd have:

• 5-8 years of experience in Product Management in the tech industry
• Excellent communication and stakeholder management skills capable of influencing across technical and non-technical audiences to drive strategic outcomes.
• Treat contributors as valued customers especially as the % experts increases and datasets get more specialized and complex
• Strong business acumen and analytical experience with demonstrated success in defining emerging or ambiguous user behaviors and driving continuous iteration in high-uncertainty environments.
• Nice-to-have:
• Experienced in building scalable decision systems partnering cross-functionally with policy data science and operations to enhance user protection and model reliability
• Experience working on EdTech or roles that require working closely with Ops (generally with several internal tools)
• Strong understanding of the AI market and willingness to stay at the cutting edge. Deep understanding of modelling workflows including data labeling model training inference and deployment with the ability to translate technical concepts into actionable product strategies.
• Experience building products from the ground up seeing them through the scaling journey of a business and dogfooding to understand the users perspective
• Bachelors or advanced degree in a quantitative engineering or related discipline with strong comfort in engaging deeply with technical and data-driven problem spaces.

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale our mission is to develop reliable AI systems for the worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds leading models and help enterprises and governments build deploy and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta Cisco DLA Piper Mayo Clinic Time Inc. the Government of Qatar and U.S. government agencies including the Army and Air Force. 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 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 Labors Know Your Rights poster for additional information.

We comply with the United States Department of Labors Pay Transparency provision.

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