Generative AI Product Manager, Public Sector
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 an experienced product manager to join our team and play a pivotal role in building AI solutions with and for our customers. The ideal candidate will have a strong understanding of 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 solution, including stakeholder engagement with various government entities, defining and managing project 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. The product manager will be responsible for owning large AI projects across many government customers and will interface closely with the product managers responsible for platform and agentic solutions.
Some examples of GenAI applications we build are:
- 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 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 enterprise 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
- Some coding experience (e.g. Python)
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.
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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.
