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.
As an AI Product Manager, you'll lead the strategy for a specific data use case, empowering leading AI labs to advance their models. You'll collaborate with top researchers to develop innovative data solutions and oversee the entire product lifecycle from concept to launch. You’ll work with cross-functional teams to drive product adoption & enhance customer satisfaction.
You will:
- Lead the product strategy for a specific data use case, empowering the world's leading AI labs to develop more advanced models.
- Proactively engage with top researchers to understand their needs and pitch data solutions that enhance model performance.
- Build and own end-to-end products by identifying customer pain points, defining product requirements, overseeing development and testing, and managing product launches.
- Collaborate with executive leadership to align product initiatives with the overall business strategy and objectives.
- Work closely with cross-functional teams, including engineering, machine learning, design, operations, marketing, go-to-market, and finance, to deliver high-quality products.
- Drive adoption and sales of data products by developing effective go-to-market strategies and ensuring customer satisfaction.
Ideally you'd have:
- Technical degree in computer science, engineering, or related field
- 3+ years of experience in building ML-powered products
- Experience operating in a fast-paced environment with ambiguity
- Active participation in the AI community, including attendance at major conferences and a strong network of industry contacts.
- Previous engineering experience, with strong technical skills in Python programming and SQL.
- Excellent communication and presentation skills
