Marketplace Product Manager, Generative AI

Scale is at the forefront of enabling Machine Learning across multiple industries by improving the world’s leading Generative AI and Large Language Models.

We are building the Generative AI Data Engine to push the boundaries of model development. We do this via human-powered datasets, world-class Reinforcement Learning with Human Feedback (RLHF), model evaluation and more. We build products for AI research teams training models and the world’s largest marketplace of human intelligence.

We’re looking for a Marketplace Product Manager to build the world’s best experts platform, where we use human knowledge to align advanced AI systems. These experts (creative writers, physics PhDs, coders etc) provide human feedback to models that enable them to improve.

This position reports to our General Manager, Xiaote Zhu.

You will:

• Build the world’s largest marketplace for human intelligence
• Grow the workforce (creative writers, physics PhD’s, coders etc) that will train many of the defining AI products of our time
• Materialize a new profession with high paying (often $40+/hour), flexible work for tens of thousands of people around the world
• Create a high integrity (anti-fraud) expert platform
• Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launching products
• Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market, and finance
• Work with exec leaders to determine and execute the product strategy of the business

Must be able to commute to the San Francisco Office 3x weekly.

Ideally, you’d have:

• Technical degree in computer science, engineering, or related field
• Experience scaling and growth hacking consumer bases at hyper-growth startups
• 4+ years of experience in product management or software development and extremely strong track record
• Excellent communication and presentation skills
• Excitement to work with AI technologies
• Experience with products leveraging AI is a plus