Senior AI Product Builder

Exiger•McLean, VA

2d•Hybrid

About The Position

Exiger is hiring a Senior AI Product Builder to help shape and deliver its next generation of AI-powered Super Intelligence products. This role bridges product, technology, and customer engagement; it is not limited to traditional product management or engineering. The successful candidate will understand complex business challenges, work directly with customers and stakeholders, identify valuable product opportunities, and help turn ideas into working AI-powered solutions. The role combines customer discovery, product ownership, and hands-on technical collaboration. The builder will lead customer conversations and workshops, translate needs into product requirements and actionable solutions, own initiatives from discovery through launch and iteration, and partner with engineers, designers, and data specialists. They will prototype and help deliver AI applications, agents, automations, and workflows using tools such as LLMs, frameworks, APIs, code, and AI-assisted development platforms. Exiger’s product lifecycle uses AI throughout research, ideation, analysis, coding, testing, documentation, and product improvement. AI Product Builders are expected to work across disciplines, engage stakeholders directly, test ideas early, and move from customer problem to useful working solution. Human judgment, customer understanding, security, privacy, and appropriate oversight remain essential. The position is hybrid, based in Richmond, Virginia, or McLean, Virginia.

Requirements

Typically 4–7 years of relevant experience in product development, technical product ownership, AI application development, product engineering, solutions engineering, forward-deployed engineering, or a related field; demonstrated capability and ownership are valued over a specific number of years.
Meaningful experience working directly with customers, business stakeholders, or senior leaders to understand needs, gather feedback, influence decisions, and drive outcomes.
Demonstrated experience owning products or significant product initiatives from discovery through delivery and iteration.
Strong product judgment, including identifying valuable problems, prioritizing competing needs, and making informed tradeoffs.
Hands-on experience building or prototyping software applications, AI-powered tools, automations, or technical workflows.
Practical understanding of LLMs and modern AI applications, including capabilities, limitations, and real-world use cases.
Familiarity with AI agents, RAG, tool calling, prompt engineering, model evaluation, or related AI development techniques.
Working knowledge of programming languages such as Python, JavaScript, or TypeScript, as well as APIs, data integration, and software development fundamentals.
Ability to collaborate effectively with engineers and participate meaningfully in technical discussions without owning every aspect of implementation.
Excellent verbal and written communication skills and confidence engaging customers and stakeholders at multiple organizational levels.
Ability to navigate ambiguity, constructively challenge assumptions, and structure complex or loosely defined business problems.
Track record of taking initiative, experimenting with new approaches, and following through to deliver measurable results.

Nice To Haves

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 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 Figma, Jira, Confluence, or Productboard.
Experience in government, defense, supply chain, procurement, risk management, compliance, or other complex enterprise environments.
Bachelor’s degree in computer science, engineering, business, product management, or a related discipline, or equivalent practical experience.

Responsibilities

Work directly with customers, business leaders, and internal stakeholders to understand challenges, workflows, and improvement opportunities.
Lead discovery conversations, workshops, product demonstrations, and feedback sessions for technical and nontechnical audiences.
Translate ambiguous problems and customer requests into product opportunities, requirements, and actionable solutions.
Build stakeholder relationships, manage expectations, establish trust, and communicate recommendations, tradeoffs, progress, and outcomes.
Challenge assumptions and help customers identify solutions to their underlying problems.
Own product initiatives from discovery and problem definition through prototyping, development, launch, and iteration.
Partner with engineers, designers, data specialists, and product builders to create useful AI-powered experiences.
Define product requirements, user journeys, workflows, success metrics, and acceptance criteria.
Prioritize opportunities by customer impact, business value, feasibility, and resources; make informed scope, speed, usability, complexity, and long-term-value tradeoffs.
Test ideas with customers, incorporate feedback, and use analytics and measurable outcomes to decide what to build, improve, or stop.
Drive cross-team alignment and keep initiatives moving as requirements or priorities change.
Design, prototype, and help deliver AI-powered applications, intelligent agents, automations, and workflows.
Use LLMs, agentic frameworks, APIs, code, and AI-assisted development tools to explore and validate ideas.
Collaborate with engineering on solution design, architecture, integrations, and feasibility; identify limitations and troubleshoot issues.
Experiment with RAG, tool calling, agent orchestration, prompt and context design, and model selection.
Assess when AI is appropriate and when traditional software or deterministic workflows are more reliable.
Partner with engineers to define evaluations, test cases, and quality measures for accuracy, reliability, safety, and usefulness.
Contribute directly to prototypes, automations, and technical workflows alongside engineers working on production implementations.
Help develop responsible AI experiences that account for security, privacy, customer data, and human oversight.
Develop knowledge of Exiger customers, platform, proprietary data, and AI capabilities; build trusted customer and internal relationships.
Present product concepts, demonstrations, recommendations, and outcomes to technical and nontechnical stakeholders, and help deliver measurable adoption, efficiency, or business value.