Technical Program Manager, Training

Job Description:

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 Technical Program Manager of the Training team, you will work closely with both engineers and operators to scope, build, and iterate on product and operational systems dedicated to helping our contributors succeed. Training is one of the most critical functions at the company. Contributors to the platform are the engine that drives Scale’s success. Our contributors come from a variety of backgrounds and skillsets, and they include domain experts (PhDs, professors, etc.), professional writers and journalists, college students, and more.

The role requires a dynamic, diligent, and organized person. It involves data analysis, roll-up-your-sleeves operations, training material development, user research with our contributors, product scoping and building, and more. You will be responsible for collaborating with our engineering team to create a product roadmap and overseeing the product rollout, and you will be responsible for working with our project teams to ensure we have robust and holistic training processes in place.

The ideal candidate has a strong operational mindset and possesses a blend of technical and soft skills. You must be high-ownership and comfortable working in ambiguity, exceptionally personable, and passionate about helping people learn.

You will:

  • Help investigate the most pressing challenges with delivering high-quality data + the most common errors our contributors make and why
  • Ideate a system for creating scalable training materials including videos, slide decks, quizzes, and more to teach our contributors how to produce great training data
  • Consistently interact with operators and contributors to understand pain points and manual processes that can be systematized and/or productized
  • Analyze data on the effectiveness of our training materials and quickly iterate / test out new ideas 
  • Collaborate with engineering to scope out a product roadmap for training across the company
  • Own product rollout and adoption

Ideally you'd have:

  • 4+ years of experience in program / product management
    • Ideally 2+ years at a top-tier consulting firm and 2+ years in product / program management
  • Operational experience and a demonstrated track record of achieving outcomes when there are multiple cross-functional stakeholders
  • A relentless attitude of testing and iterating
  • Ability to own your outcomes

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:
$140,000$175,000 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. 

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 accommodations@scale.com. 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.

Scale AI

Scale AI

  • 📍 US (San Francisco, CA; New York, NY)
  • 📝 Full Time
  • 💰 USD $140,000 - $175,000
  • 📅 1 day ago