Product Manager

Product Management & Delivery

• Own the product vision, strategy, and roadmap for your area of the platform.
• Solicit, refine, and prioritize requirements from current and prospective customers, the Expression executive team, and other internal stakeholders
• Define, prioritize, and deliver end-to-end product features supporting the Agentic AI platform
• Define requirements for LLM-based services, agent workflows, and orchestration layers
• Take full ownership of features from concept through production, including testing, deployment, and monitoring
• Track and drive improvements to product performance and reliability through metrics and partnership with engineering

Product Collaboration & Execution

• Translate customer and business needs into clear product requirements with documented trade-offs
• Collaborate with engineering, design, and stakeholders to refine features and ensure alignment with business goals
• Contribute to backlog refinement, sprint planning, and agile ceremonies
• Provide input on feasibility, scope, and technical design decisions

Customer Engagement & Implementation

• Collaborate directly with clients to support implementation and adoption of the platform
• Participate in product demonstrations and technical discussions with current and potential customers
• Translate client needs into actionable technical solutions and enhancements
• Support deployment and customization efforts in mission environments

Platform Evolution & Innovation

• Contribute to the design and influence the evolution of core platform architecture and components
• Influence system scalability, reliability, and performance improvements
• Lead or contribute to research, prototyping, and evaluation of emerging technologies
• Track emerging AI tools, techniques, and research, and surface promising candidates for evaluation and potential platform integration

Data, AI, and System Design

• Define product strategy and requirements for retrieval and context engineering systems
• Drive product direction for vector search systems and vector database integration
• Shape product strategy for LLM-based applications targeted at enterprise use
• Ensure efficient data flows and integration across platform components

AI Safety, Evaluation & Trust

• Define and prioritize requirements for evaluation frameworks, agent behavior monitoring, and red-teaming.
• Partner with engineering and security to ensure agentic systems behave safely, predictably, and within mission constraints.
• Champion practices that make agentic AI verifiable to customers — explainability, auditability, and traceability of agent actions.

Cross-Functional Collaboration

• Work closely with engineering, design, marketing, business development, infrastructure, and security teams
• Communicate technical concepts clearly to both technical and non-technical audiences
• Produce technical documentation, architecture diagrams, and design proposals

Continuous Improvement & Product Thinking

• Use metrics, user feedback, and experimentation to improve product capabilities
• Balance speed, quality, and long-term maintainability in engineering decisions
• Advocate for the end user through thoughtful feature design and implementation

• Bachelor’s degree in Business, Engineering, Computer Science, Information Systems, or related field.
• 8 years of progressive product management experience, ideally in federal IT or enterprise software environments.
• Working knowledge of agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI, Strands, or similar)
• Technical fluency sufficient to engage credibly with engineers on AI/ML services and APIs
• Familiarity with retrieval and context engineering approaches and how they’re built and deployed
• Familiarity with vector search systems and vector databases
• Experience shaping product strategy for LLM-based applications
• Familiarity with Docker and cloud-native environments (AWS and/or Azure)
• Excellent written and verbal communication skills
• Active Secret clearance or above ideal but not required
• Eligible to obtain clearance (U.S. Citizenship required)

• SAFe POPM (Product Owner/Product Manager), CSPO, or Pragmatic Institute certification.
• Cloud certifications (AWS, Azure, Google Cloud).
• Technical familiarity with modern data platforms (SQL, NoSQL, data lakes).
• Direct experience working with or within public sector organizations (Federal civilian, DoD, intelligence community).
• Hands-on software development experience.
• Background in machine learning research or engineering.
• Experience prototyping new product concepts.

In your first 6 months, you’ll build deep working relationships across engineering, design, and customers; take ownership of the roadmap for your product area; and establish a regular discovery cadence grounded in real mission needs.

By the end of your first year, you’ll have shipped meaningful improvements to platform adoption and reliability backed by clear metrics, surfaced emerging customer needs that influence the broader platform roadmap, and delivered at least one major new capability that materially expands what customers can accomplish.