Role:
Scale is at the forefront of the AI revolution, working across the US government, partners and allies around the world to unlock the potential of generative AI (GenAI).
We are seeking a product leader to join our team and play a pivotal role in building Agentic AI platforms to support national-level decisions, including for some of the nation’s most important national security challenges. The ideal candidate will have a strong understanding of product leadership, software engineering principles practices and deep experience with ML/AI application development, coupled with proven experience in managing complex projects with multiple stakeholder or AI-related projects within a government or highly regulated setting, emphasizing ethical AI deployment and robust risk management practices.
This role requires a strategic leader adept at navigating the complexities of government GenAI projects, ensuring Scale’s public sector AI solution aligns with agency objectives and adheres to stringent security and compliance mandates. The product manager will be responsible for the entire lifecycle of the generative AI platform, including product design, cross-program execution, capability prioritization, stakeholder engagement with various government entities, defining and managing engineering scope, developing detailed project plans, and overseeing resource allocation and budget management. A key focus will be on ensuring that Scale’s public sector AI solution operates securely within controlled network environments, and is configured properly to support government workflows, specifically those that relate to national defense.
Some examples of GenAI applications we build are:
- Agentic warfare and scenario planning
- Indications and warnings integration for the protection of critical continental level assets
- Deep research capability that can help evaluate thousands of pages of classified information
- Report generation for multiple customized report templates
- Text2SQL intelligence applications to make analysts more efficient and embed a culture of data-driven decision-making
You will:
- Develop enterprise grade solutions that leverage cutting edge AI and AI agents to drive value for public sector customers
- Work with executives at Scale and our customers to determine and execute the product strategy of the business.
- Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches
- Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance.
- Develop a point of view and execute on turning the solutions we build into scalable software that we can commercialize across the industry
- Maintain a Top Secret security clearance
Ideally you'd have:
- Technical degree in computer science, engineering, or equivalent experience
- 4+ years of experience in building ML-powered and / or enterprise-facing products
- Strong understanding of generative AI technologies and their applications in public or large-scale private sector settings
- Experience operating in a fast-paced environment with high ambiguity
- Exceptional leadership, presentation, and communication skills with the ability to influence cross-functional teams
- Data literacy and experience with data analytics
- Prior military or government experience
- Coding experience (e.g. Python)
Nice to haves:
- Experience building infrastructure and tooling to develop and support agentic applications.
- Experience working in startup environments building solutions for public sector / federal customers.
- Understanding of public / federal networks, infrastructure, and deployment constraints.
- TS/SCI Security Clearance
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.
