Technical Program Manager, Gen AI

Posted Yesterday
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San Francisco, CA
140K-170K Annually
Mid level
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
The Technical Program Manager will drive initiatives to build tools and workflows for Generative AI operations, ensuring high-quality dataset delivery and integration across teams. They will lead new projects, address customer pain points, and shape strategic processes within the organization.
Summary Generated by Built In

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.

We’re looking for a Technical Program Manager on the Generative AI team to own critical processes that enable our customers to achieve breakthroughs in model performance and scalability. 

You will:

  • Accelerate building the tools, workflows, and infrastructure needed to support our Gen AI operations team.
  • Lead initiatives across teams including engineering, operations, go-to-market, and finance to help our customers improve the performance of their models.
  • Establish and operationalize key processes and help shape the vision and strategy of a new team.
  • Oversee end-to-end delivery of high-quality datasets by ensuring seamless integration across systems and internal stakeholders.
  • Incubate 10x bets with engineering and transform them into scalable products.
  • Lead with a “whatever-it-takes” mentality, proactively identifying customer and operator pain points to ensure customer success.

Must be able to commute to the San Francisco Office 3x weekly. 

Ideally, you’d have:

  • Technical degree in computer science, engineering, or related field.
  • 3+ years of experience in program management, operations, strategy.
  • Experience operating in a fast-paced environment with ambiguity.
  • Excellent communication and presentation skills.
  • Proficiency in SQL and data analysis.
  • Passion for solving complex challenges and building efficient systems in AI.

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:

$140,000$170,000 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

SQL
The Company
San Francisco, CA
523 Employees
On-site Workplace
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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