Staff AI Product Manager, Generative AI EPD San Francisco, CA

Scale AI, Inc.; San Francisco (CA); On-site; USD 210,000 - 250,000; Full time

Job summary

Join a forward-thinking company at the forefront of the AI industry as a Staff AI Product Manager. In this dynamic role, you will lead the strategy for innovative data use cases, collaborating with top researchers and cross-functional teams to enhance model performance. Your expertise will drive the entire product lifecycle, ensuring that customer needs are met while pushing the boundaries of AI technology. This exciting opportunity offers a chance to make a significant impact in a rapidly evolving field, where your contributions will help shape the future of AI applications. If you are passionate about technology and eager to drive change, this position is perfect for you.

Qualifications

• 3+ years of experience in building technical products.
• Strong technical skills in Python programming and SQL.

Responsibilities

• Lead product strategy for data use cases to empower AI labs.
• Collaborate with cross-functional teams to deliver high-quality products.

Skills

Python programming

SQL

Product management

Communication skills

Technical product building

Education

Technical degree in computer science

Job description

Scale is at the frontier of the AI industry 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 a Staff 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 adoption & enhance customer satisfaction. In this paradigm, you will own “data as the product”.

You will:

1. Lead the product strategy for a specific data use case (ex. Agents, Audio, Reasoning), empowering the world's leading AI labs to develop more advanced models.
2. Proactively engage with top researchers to understand their needs and pitch data solutions that enhance model performance.
3. Build and own end-to-end the data use case by identifying customer pain points, defining requirements and overseeing delivery of the data.
4. Develop labeling interfaces and quality measurement platforms to drive product quality.
5. Collaborate with executive leadership to align product initiatives with the overall business strategy and objectives.
6. Lead cross-functional teams, including engineering, machine learning, design, operations, marketing, go-to-market, and finance, to deliver high-quality products.
7. Drive adoption and sales of data products by developing effective go-to-market strategies and ensuring customer satisfaction.

Ideally you'd have:

1. Technical degree in computer science, preferably with coursework or side projects training neural networks.
2. 3+ years of experience in building technical products.
3. Experience operating in a fast-paced environment with ambiguity.
4. Active participation in the AI community, including attendance at major conferences and a strong network of industry contacts.
5. Previous engineering experience, with strong technical skills in Python programming and SQL.
6. Excellent communication and presentation skills.

The base salary range for this full-time position in the location of San Francisco is:

$210,000 — $250,000 USD

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.