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.
We are seeking an experienced Product Manager to lead the successful implementation, ongoing support, and continuous improvement of a Large Language Model (LLM) Chatbot solution deployed on controlled government networks. This role requires a strategic leader adept at navigating the complexities of government IT projects, ensuring the chatbot program aligns with agency objectives, and adheres to stringent security and compliance mandates. The Product Manager will be responsible for the entire lifecycle of the chatbot program, 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 the LLM Chatbot operates securely within controlled network environments, and is configured properly to support Government workflows specifically those that relate to National Defense. The ideal candidate will possess a strong understanding of AI technologies, including Natural Language Processing (NLP) and Machine Learning (ML), 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 will interface closely with the Product Managers responsible for Platform and Agentic Solutions.
Some examples of GenAI applications we build are:
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 and practices and deep experience with ML/AI application development. You will be responsible for owning large AI projects across many Government customers.
You will:
Ideally you will have: