Incubation Product Manager

Sorry, this job was removed at 12:02 a.m. (CST) on Thursday, Jul 17, 2025
Easy Apply
2 Locations
In-Office
160K-192K Annually
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role

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.

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.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$160,000$192,000 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 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.

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The Company
San Francisco, CA
523 Employees
Year Founded: 2016

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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