The bar
What you'll bring
- Experience at an AI-native company or building AI-first products.
- Experience with enterprise B2B SaaS platforms or customer-facing enterprise software.
- Experience with AI agent frameworks, vector databases, embedding models, evaluation tools, or multi-agent systems.
- Familiarity with tools such as LangChain, LlamaIndex, Claude Code, Cursor, Codex, or similar AI development platforms.
- Experience building and deploying applications using Python, JavaScript, TypeScript, SQL, or cloud services.
- Experience in a customer-facing technical role, such as Forward Deployed Engineer, Solutions Engineer, Product Engineer, or Technical Product Lead.
- Familiarity with product collaboration tools such as Figma, Jira, Confluence, or Productboard.
- Experience in government, defense, supply chain, procurement, risk management, compliance, or other complex enterprise environments.
- A bachelor's degree in computer science, engineering, business, product management, or a related discipline, or equivalent practical experience.
The company
About Exiger
Exiger is the AI partner for supply chain and procurement automation. Its centralized 1EXIGER.AI platform allows organizations to manage their entire operating network, from parts to suppliers, regulators, and customers, through an autonomous agentic workforce that learns, adapts, and augments with every decision. The AI-native platform, combined with the largest supply chain knowledge asset, empowers 550+ global customers, including 150 Fortune 500 and 80+ government and defense industrial organizations, to act first. Exiger is FedRAMP® authorized and a 2x Leader in Gartner® Magic Quadrant™ for Supplier Risk Management. Exiger is the AI partner for supply chain and procurement automation. Its centralized 1EXIGER.AI platform allows organizations to manage their entire operating network, from parts to suppliers, regulators, and customers, through an autonomous agentic workforce that learns, adapts, and augments with every decision. The AI-native platform, combined with the largest supply chain knowledge asset, empowers 550+ global customers, including 150 Fortune 500 and 80+ government and defense industrial organizations, to act first. Exiger is FedRAMP® authorized and a 2x Leader in the Gartner® Magic Quadrant™ for Supplier Risk Management.
Additional notes
Other
Who We Are:
Senior AI Product Builder
Location: Richmond, VA or McLean, VA Work Environment: Hybrid
Build the Next Generation of Super Intelligence Products
At Exiger, we're reimagining how AI-powered products are conceived, built, and delivered. Our vision for Super Intelligence brings together advanced AI, intelligent agents, proprietary data, and human expertise to help organizations solve complex problems and make better decisions.
We're looking for an experienced Senior AI Product Builder who thrives at the intersection of product, technology, and the customer.
This is not a traditional Product Manager role focused solely on roadmaps and requirements, nor is it a purely engineering role focused only on implementation. We're looking for someone who can understand complex business challenges, work directly with customers and stakeholders, identify what should be built, and help turn those ideas into working AI-powered products.
You should be equally comfortable leading a conversation with business executives, collaborating with engineers on technical approaches, and rapidly prototyping solutions using AI tools, APIs, code, and automation platforms.
The ideal candidate brings strong product instincts, hands-on technical experience, and the ability to navigate ambiguity. You've worked directly with customers, understand how to uncover their underlying needs, and know how to translate those insights into products that deliver measurable value.
You'll play an important role in shaping Exiger's next generation of Super Intelligence experiences while helping define a faster, more collaborative, AI-enabled approach to product development.
Customer Discovery & Stakeholder Engagement
Work directly with customers, business leaders, and internal stakeholders to understand their challenges, workflows, and opportunities for improvement.
Lead discovery conversations, workshops, product demonstrations, and feedback sessions with both technical and nontechnical audiences.
Translate ambiguous business problems and customer requests into clear product opportunities, requirements, and actionable solutions.
Build strong relationships with stakeholders, manage expectations, and establish trust through clear communication and consistent follow-through.
Challenge assumptions, ask thoughtful questions, and help customers distinguish between what they initially request and what will actually solve their problem.
Communicate product recommendations, technical tradeoffs, progress, and outcomes effectively to senior business leaders and cross-functional teams.
Product Ownership & Execution
Take ownership of product initiatives from initial discovery and problem definition through prototyping, development, launch, and iteration.
Partner with engineers, designers, data specialists, and other product builders to translate customer needs into useful AI-powered experiences.
Define product requirements, user journeys, workflows, success metrics, and acceptance criteria.
Prioritize opportunities based on customer impact, business value, feasibility, and available resources.
Make thoughtful tradeoffs around scope, speed, usability, technical complexity, and long-term value.
Rapidly test ideas with customers, incorporate feedback, and refine solutions before investing heavily in development.
Use product analytics, customer feedback, and measurable outcomes to determine what to build, improve, or stop.
Drive alignment across teams and keep initiatives moving forward, even when requirements or priorities change.
AI Product Building & Technical Collaboration
Design, prototype, and help deliver AI-powered applications, intelligent agents, automations, and workflows that solve real customer problems.
Use large language models, agentic frameworks, APIs, code, and AI-assisted development tools to rapidly explore and validate product ideas.
Collaborate with engineering teams on solution design, architecture, integrations, and technical feasibility.