Head of Product - Contributor Quality

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 qualityDrive standardization across content, tooling, quality infra and processesLead a team of Technical Product Managers to design, test, and scale an end-to-end quality journey from project onboarding to taskingPartner with Data, EPD and Delivery teams to drive the strategic vision and roadmap related to contributor qualityOwn north-star metrics on contributor qualityRequirements:8+ years of experience in product or product operationsStrong technical background and problem solving capabilitiesExcellent communication and stakeholder management skillsExperience leading and mentoring a teamA high ownership individual who is comfortable navigating ambiguityA relentless attitude of testing and iteratingNice-to-have:Prior background in EdTech and/or AI/MLAbout 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 :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.Apply for this job* indicates a required fieldFirst Name *Last Name *Email *PhoneResume/CVLinkedIn ProfileWebsite#J-18808-Ljbffr

Created: 2025-02-25