Product Manager

Expression•Washington, DC

1d•Hybrid

About The Position

Expression is seeking a Product Manager to join our Product Team. This role is critical for the intersection of product, engineering, and client engagement, supporting the development and evolution of Expression’s Agentic AI platform. This platform enables enterprise customers—particularly within National Security and Federal Civilian sectors—to move from generative AI that “chats” to trusted and verifiable systems that “act.” This role is responsible for building, delivering, and continuously improving product capabilities while working closely with stakeholders, customers, and cross-functional teams. You’ll be embedded in a cross-functional product pod alongside frontend and backend engineers, AI engineering, QA/test, DevSecOps, design, and technical writing. The ideal candidate combines strong technical fluency with product thinking, thrives in a fast-paced environment, and demonstrates a strong bias for action and ownership.

Requirements

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

Nice To Haves

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.

Responsibilities

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
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
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
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
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
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.
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
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