Incubation Product Manager

At Scale AI, our Moonshots Team serves as an incubator for transformative, 10x opportunities that help to shape the future of AI. Our mission is to identify, validate, and execute bold ideas that redefine how we improve generative AI models through data. By combining breakthrough thinking with rapid experimentation, we push the boundaries of what’s possible and deliver solutions that create significant business impact.

We’re looking for a candidate with a proven ability to rapidly craft innovative, practical cross-functional solutions to complex business challenges. As an Incubation Product Manager at Scale, you’ll start by leading a project to deliver high-quality data for a client’s model improvement, then drive high-impact moonshots across product, engineering, and operations to advance our business. If you thrive in fast-paced environments that demand creative thinking and rapid execution, we’d love to hear from you.

You will:

• Identify and validate moonshots that could deliver 10x impact by uncovering transformative operational, technical, and product opportunities
• Prototype and experiment with new solutions by running analyses, conducting experiments, and building early-stage prototypes to test ideas
• Grow to take ownership of scaling a successful initiative and lead the charge on new moonshot projects
• Deliver measurable business outcomes that enhance Scale’s ability to improve generative AI models through high-quality data

Ideally you'd have:

• 2-3 years of industry experience in a technical field (i.e. Software Engineering, Machine Learning, and ML Research) 
• Advanced technical problem solving skills (e.g. SQL, Python) and hands-on experience building end-to-end systems or prototypes in production.
• Creative and visionary thinking with the ability to identify bold, transformative opportunities and craft innovative, practical solutions into measurable outcomes 
• High adaptability and resilience to navigate ambiguity, solve complex problems, and thrive in fast-paced, undefined environments
• Intensity and pragmatism to quickly drive business outcomes quickly, especially while operating independently with minimal resources

Nice to haves: 

• Research-oriented mindset with a track record of publishing original work in top-tier ML or AI conferences (e.g.,NeurIPS, ICML, CVPR) or journals. Experience conducting novel research or contributing to open-source AI projects is a plus.
• Proven 0-1 execution experience, whether as a founder, early-stage team member or solo contributor driving greenfield projects from concept to impact.