Staff Product Manager (Agentic Platform)

• 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
• 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

Benefits

• Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
• Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
• Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
• Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.- 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
• Prior military or government experience
• Data literacy and experience with data analytics
• Experience operating in a fast-paced environment with high ambiguity
• Exceptional leadership, presentation, and communication skills with the ability to influence cross-functional teams
• Technical degree in computer science, engineering, or equivalent experience
• Coding experience (e.g. Python)
• Experience building infrastructure and tooling to develop and support agentic applications
• Experience working in startup environments building solutions for public sector / federal customers
• TS/SCI Security Clearance
• Understanding of public / federal networks, infrastructure, and deployment constraints