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Scale's Federal customer base is growing rapidly, and you will be on the front lines of machine learning (ML) operations to accelerate the development of artificial intelligence (AI) applications for the Department of Defense and other national security customers. As a Federal Operations Manager, you have complete project-level ownership of the operations of our data labeling system and are responsible for delivering data on time and at a high level of quality. You will build a team of high-quality data quality specialists, leverage structured problem-solving to drive operational efficiencies and work cross-functionally with other Scale teams.
You will also be a front-line touch point for Scale’s customers. All of this serves an ultimate goal of delivering outsize value in supporting our customer’s AI / ML objectives.
You will:
- Own and execute data annotation workflows across diverse data types (geospatial imagery, text, etc)
- Drive operational efficiencies on data annotation workflows and improve data quality to achieve machine learning outcomes
- Lead cross-functional initiatives with engineering, product, analytics, and delivery teams (as well as relevant experts) to achieve project outcomes
- Communicate with and shape outcomes for Scale’s strategic customers across the Department of Defense and national security customers
You have:
- An active TS-SCI security clearance
- 3+ years of experience in a general manager/program manager position or a similar leadership role in operations
- Experience working in a fast-paced environment
- Great cross-functional experience and collaborative ability
- Excellent verbal and written communication
- An analytical, problem-solving, and grit mindset to deliver results
- Intellectual interest in machine learning and a strong desire to do impactful work in support of the U.S. government
- A willingness to work onsite in a secure facility in the D.C, Maryland, and Virginia areas
Nice to haves:
- A technical background (education or professional experience with computer science, economics, statistics, or engineering)
- SQL knowledge
- Experience with lean process improvement, Six Sigma, Toyota Production System, etc.
- Experience working in and / or with the U.S. government
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 Washington DC is:
$111,780—$163,944 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
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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