Scale is at the forefront of powering AI and LLMs across multiple industries. Our thesis is that to build exceptional LLMs you need exceptional human beings to train them. Humans are essential in providing the best training data for these models, and Scale operates the largest network of humans in the world to provide this training data.

As the Head of Product - Contributor Quality, you will be responsible for ensuring that the contributors on our tasking platform are as productive and high quality as possible. This is one of the most critical Product leadership functions at the company. Our contributors include both domain experts (PhDs, Master’s students, etc.) and “generalists” (high-school or college grads).

The role involves a combination of strategic thinking, roll-up-your-sleeves operations, and engagement with our Contributors and Product, Engineering and Operations teams. You will be responsible for designing and scaling the end-to-end vision for assessing and improving contributor quality on our platform; this includes how we develop onboarding content, assess contributors, set up quality infrastructure and grow our high-quality contributor community.

The ideal candidate is a scaled product and operations leader, technical and analytical, and is comfortable leading a team as well as driving performance and results under ambiguity.

Responsibilities:

Develop a deep understanding of the relationship between contributor quality and data quality
Drive standardization across content, tooling, quality infra and processes
Lead a team of Technical Product Managers to design, test, and scale an end-to-end quality journey from project onboarding to tasking
Partner with Data, EPD and Delivery teams to drive the strategic vision and roadmap related to contributor quality
Own north-star metrics on contributor quality

Requirements:

8+ years of experience in product or product operations
Strong technical background and problem solving capabilities
Excellent communication and stakeholder management skills
Experience leading and mentoring a team
A high ownership individual who is comfortable navigating ambiguity
A relentless attitude of testing and iterating

Nice-to-have:

Prior background in EdTech and/or AI/ML

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:

$212,000—$254,400 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.

Head of Product

Contributor Quality

Scale AI

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