Product Manager, Contributor Quality and Enablement

Scale AI is a leading company in the AI marketplace, seeking a Product Manager for Contributor Quality and Enablement. The role involves setting product strategy, developing a data-driven roadmap, and collaborating with cross-functional teams to enhance contributor engagement and project outcomes.

Responsibilities:

• 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

Requirements:

• 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
• Bachelor's or advanced degree in a quantitative, engineering, or related discipline, with strong comfort in engaging deeply with technical and data-driven problem spaces
• 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