Product Manager, Contributor Pay & Incentives
Scale AI
Job Overview
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Job Description
About the Role
Scale operates a global marketplace for talent, working with Contributors in over 100 countries. This Product Manager, Contributor Pay & Incentives role focuses on understanding cost efficiency and quality across different payment structures (e.g., pay by hour, pay by task) to ensure pay transparency, fairness, and predictability. It is a highly cross-functional position, collaborating with dedicated engineering, design, and data science staff, as well as PMs across the organization, Growth, Payment Operations, Delivery Operations for new projects, and Support teams.
Key Responsibilities
- Understand Scale AI's business, customer experience, and ecosystem position.
- Set the product strategy for the Pay team.
- 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 a deep understanding of users.
- Guide and interface closely with data analysts 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.
Ideal Qualifications
- 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.
- 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 Qualifications
- Strong understanding of the AI market and willingness to stay at the cutting edge.
- Deep understanding of modeling 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.
- Experienced in building scalable decision systems, partnering cross-functionally with policy.
- 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.
Compensation & Benefits
Compensation packages at Scale AI for eligible roles include base salary, equity, and benefits. The base salary range for this full-time position in San Francisco, New York, and Seattle is $164,800—$197,760 USD. Eligible employees are also granted equity based compensation and receive comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additional benefits like a commuter stipend may also be available.
About Scale AI
At Scale AI, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide high-quality data and full-stack technologies that power leading models and help enterprises and governments build, deploy, and oversee AI applications. We collaborate with industry leaders like Meta, Cisco, Mayo Clinic, and U.S. government agencies, expanding our team to accelerate AI application development.
Key Skills/Competency
- Product Management
- Payment Systems
- Marketplace Dynamics
- Data Analysis
- Stakeholder Management
- Cross-functional Collaboration
- Product Strategy
- Roadmap Development
- Business Acumen
- AI Market Knowledge
How to Get Hired at Scale AI
- Research Scale AI's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight product management experience, especially with payment systems, marketplaces, or AI platforms.
- Showcase analytical prowess: Quantify your impact in previous roles using data-driven decision-making and business acumen.
- Prepare for cross-functional collaboration questions: Emphasize your ability to lead and influence diverse technical and non-technical teams.
- Demonstrate AI market understanding: Articulate how your experience aligns with Scale AI's mission in the AI ecosystem.
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