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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:
- 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.
- Proactively engage with top researchers to understand their needs and pitch data solutions that enhance model performance.
- Build and own end-to-end the data use case by identifying customer pain points, defining requirements and overseeing delivery of the data
- Develop labeling interfaces and quality measurement platforms to drive product quality
- Collaborate with executive leadership to align product initiatives with the overall business strategy and objectives.
- Lead 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, preferably with coursework or side projects training neural networks
- 3+ years of experience in building technical 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
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
The base salary range for this full-time position in the location of San Francisco is:
$210,000—$250,000 USD
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
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.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Top Skills
What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
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