Scale AI

Technical Program Manager, Engineering

San Francisco, CA; New York, NY · Director · Full-time

Sponsorship not specified$181k-$226kDetected 6 days ago

Full-Stack DevelopmentSQLAWSPlatform EngineeringMachine LearningData AnalysisLLMsCybersecurityCommunicationProblem SolvingPublic Speaking

About the role

Software is eating the world, but AI is eating software.
We live in unprecedented times - AI has the potential to exponentially augment human intelligence.
Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life.

Responsibilities

As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products.
In this role, you will lead critical programs across the design and development of core data storage systems and across the Security organization.
Lead strategic planning initiatives for the Platform Engineering and Security teams, setting goals and identifying key performance indicators.
Drive Company/Business Unitwide programs and initiatives for the Platform Engineering and Security teams
Collaborate with stakeholders across the company to improve processes and procedures, ensuring Scale's continued success.
Build, maintain, and regularly communicate detailed reporting to inform strategic decisions across the company.

Nice to have

8+ years experience as a Technical Program Manager
Significant experience in platform infrastructure, security or compliance in a role that required cross-departmental collaboration.
Experience in program management, including planning, organizing, and managing resources.
Experience leading day-to-day activities and improving processes.
Strong analytical skills, with experience using data analysis tools or software.
Strong communication skills with experience presenting to and influencing senior and executive leadership.

Compensation

packages at Scale for eligible roles include base salary, equity, and benefits.
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.
$180,800 - $226,000 USD

Benefits

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.
To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations.

Company info

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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 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.
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.
At Scale, our mission is to develop reliable AI systems for the world's most important decisions.
Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.
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 accommodations@scale.com.

Visa & Work Authorization

al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status

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This listing is sourced directly from Scale AI's careers page and normalized into a canonical job model.