As the Technical Program Manager for Infrastructure Security at Scale, you will be instrumental in driving the future of AI and Machine Learning across diverse industries. Reporting directly to the Head of Global Forward Deployed Infrastructure & Security, your pivotal role will ensure the effective operation of our forward deployed engineering teams, upholding the highest industry standards.
You will serve as the primary Program Manager, collaborating with all teams across the Security and Engineering departments, including Product Security, Delivery, Infrastructure Security, and Assurance. Additionally, you will support our Public Sector and International Public Sector business, ensuring that our deployments meet the unique requirements of these varied sectors.
You Will:
- Lead strategic planning initiatives for the Infra Security department, setting goals and identifying key performance indicators.
- Collaborate with stakeholders across the company to improve processes and procedures, ensuring Scale's continued success.
- Track resourcing for the Security departments, including vendor management.
- Create an effective feedback loop between all teams within the Security departments, as well as with partner teams like Legal, HR, Engineering, etc.
- Collaborate with customers to define and execute technical requirements.
- Build, maintain, and regularly communicate detailed reporting to inform strategic decisions across the company.
- Ensure that Scale's security and compliance practices align with industry standards and regulations.
Ideally You’d Have:
- Proven experience in security and compliance, with a focus on cross-departmental collaboration.
- Experience in project management, including planning, organizing, and managing resources.
- Demonstrated understanding of security practices within cloud environments (e.g., AWS, Azure, GCP).
- Experience in a high growth, fast-paced technology company.
- An action-oriented mindset, balancing creative problem-solving with a strong drive to achieve outcomes.
- Demonstrated history of fostering cross-functional collaboration with Delivery, Sales, and Engineering teams.
- Current or past Security Clearance.
Nice to Haves:
- Proven experience in contract review, including close collaboration with legal teams on contractual matters.
- Experience with microservice architecture.
- Experience applying AI or Machine Learning.
- Strong analytical skills, with experience using data analysis tools or software.
- Backlog refinement & roadmapping experience with tools like Linear and JIRA.
- Background in Software, Security, or System Engineering.
Note this role must be based within the continental United States and requires current US Citizenship to support Scale’s Public Sector business.
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 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, 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, Cisco, DLA Piper, 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 [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
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.
