Product Manager, Gen AI
Remote • New York, NY; San Francisco, CA
Posted 2mo ago
Job Location
New York, NY; San Francisco, CA
Tech Stack
Remote Work Policy
Fully remote
Categories
Applied AI Engineer
About the job
Scale AI is seeking Product Managers to join its GenAI organization, focusing on building the data infrastructure that powers advanced AI. These roles involve shaping systems, tooling, and experiences for a two-sided marketplace connecting AI labs and enterprises with a global network of contributors. You will work on high-impact, technically complex problems at the frontier of AI, owning product areas end-to-end from strategy to execution. The positions require deep cross-functional collaboration with engineering, design, data science, operations, and other stakeholders in a fast-paced, growth-stage environment.
Responsibilities
- Set product strategy and roadmap grounded in customer needs, data analysis, and business impact.
- Develop and execute a data-driven product roadmap through close collaboration with senior leadership and cross-functional teams.
- Translate customer and internal-user needs into clear, well-defined functional and technical requirements.
- Guide and interface closely with engineering and data teams to define scope, review technical capabilities, and prioritize projects.
- Build long-term instrumentation, monitoring, and evaluation capabilities for product performance tracking.
- Establish business cases and projected return on investment to identify and prioritize opportunities.
- Partner with finance and business leaders to manage impact on profitability and growth.
- Communicate product vision, strategy, and progress to executive stakeholders and cross-functional partners.
Requirements
- 4-10 years of experience in Product Management in the tech industry.
- Strong business acumen and analytical rigor, with demonstrated success driving products in ambiguous, high-growth environments.
- Experience translating complex technical systems into clear product strategies.
- Comfort engaging deeply with engineering and data science teams.
- Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences.
- Experience building products from the ground up and iterating through the scaling journey of a business.
- Bachelor's or advanced degree in a quantitative, engineering, or related discipline.