Scale operates a global marketplace for talent and needs to understand the cost efficiency and quality for different payment structures to ensure pay transparency, fairness, and predictability. They are looking to accelerate the development of AI applications and need to build reliable AI systems for the world's most important decisions.
Requirements
- 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
- Experienced in building scalable decision systems, partnering cross-functionally with policy,
- strong comfort in engaging deeply with technical and data-driven problem spaces.
Responsibilities
- 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 deep understanding of our 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.
Other
- 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.
- Bachelor’s or advanced degree in a quantitative, engineering, or related discipline
- Compensation packages at Scale for eligible roles include base salary, equity, and benefits.
