Scale AI · 17 hours ago
Product Manager, Contributor Quality and Enablement
Scale AI is a 2-sided marketplace focused on providing high-quality data for AI applications. The Product Manager will build products and systems to identify and train contributors, standardize data across projects, and enhance the contributor experience.
AI InfrastructureArtificial Intelligence (AI)Data Collection and LabelingGenerative AIImage RecognitionMachine Learning
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
Qualification
Required
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
Preferred
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
Benefits
Comprehensive health, dental and vision coverage
Retirement benefits
A learning and development stipend
Generous PTO
Commuter stipend
Company
Scale AI
Scale’s mission is to develop reliable AI systems for the world’s most important decisions.
H1B Sponsorship
Scale AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (82)
2024 (54)
2023 (29)
2022 (17)
2021 (10)
2020 (10)
Funding
Current Stage
Late StageTotal Funding
$15.9BKey Investors
MetaAccelTiger Global Management
2025-06-10Corporate Round· $14.3B
2025-06-04Series Unknown
2024-05-21Series F· $1B
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2026-01-07
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