Product Manager

Expression•Washington, DC

3d•Hybrid

About The Position

Expression is seeking a Product Manager to join their Product Team. This role is crucial at the intersection of product, engineering, and client engagement, supporting the development and evolution of Expression’s Agentic AI platform. This platform allows enterprise customers, particularly in the National Security and Federal Civilian sectors, to transition from generative AI that "chats" to trusted and verifiable systems that "act." The role involves building, delivering, and continuously improving product capabilities while collaborating with stakeholders, customers, and cross-functional teams. The Product Manager will be part of a cross-functional product pod with engineers, AI engineers, QA/test, DevSecOps, design, and technical writing. The ideal candidate possesses strong technical fluency, 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.
U.S. Citizenship required (for clearance eligibility).

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.
Active Secret clearance or above.
Eligible to obtain clearance.

Responsibilities

Own the product vision, strategy, and roadmap for their area of the platform.
Solicit, refine, and prioritize requirements from customers, the Expression executive team, and internal stakeholders.
Define, prioritize, and deliver end-to-end product features for 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 in product performance and reliability using metrics and in 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 platform implementation and adoption.
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.