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Voyager Technologies is a defense, national security, and space technology company building transformative, mission-critical solutions. The Senior Product Manager, Agentic AI Platform is a senior individual contributor role responsible for defining and executing the product vision, strategy, and roadmap for an AI-native software platform. This role translates the needs of demanding, highly technical customers into scalable platform capabilities, working directly with engineering and technical leadership to deliver innovative agentic AI solutions from conception through commercialization.
The position is part of the Advanced Technology Group within Voyager's Strategic Growth and Technology Organization, which focuses on high-impact, high-ROI technology and product research and development, developing leap-ahead capabilities in existing technology areas while establishing foundational technologies in new and emerging markets.
Key responsibilities include:
- Define and own the product vision, strategy, and multi-horizon roadmap for an AI-native software platform, establishing clear perspective on agentic AI evolution and competitive differentiation
- Lead customer discovery and co-development efforts with complex, high-value design partners, translating customer workflows and technical requirements into actionable product priorities
- Partner closely with technical leads and engineering teams to define product scope, sequencing, architectural trade-offs, and execution priorities
- Develop clear product requirements, user journeys, acceptance criteria, and technical specifications supporting efficient engineering execution
- Define the platform's extensibility architecture and developer experience, including APIs, SDKs, integrations, and connectors enabling internal teams, customers, and partners to build on the platform
- Establish product success metrics and evaluation strategies for AI agent quality, reliability, safety, latency, performance, and cost
- Define product requirements for human-in-the-loop controls, governance, auditability, security, and operational guardrails for trusted autonomous systems in high-consequence environments
- Maintain comprehensive understanding of the agentic AI technology landscape, translating competitive intelligence into product positioning and build/partner/buy recommendations
- Collaborate with Growth, Business Development, and executive leadership on product packaging, pricing, pilot structures, commercialization strategies, and go-to-market approaches
- Establish product instrumentation, adoption metrics, and customer-value measurements to drive rapid, data-informed iteration
- Communicate product strategy, technical capabilities, roadmap decisions, and customer value propositions to executives, customers, engineering teams, and partners
- Demonstrate hands-on use of AI tools for research, analysis, requirements development, and rapid prototyping
- Operate with high autonomy in a small, fast-moving team, making informed product and technical trade-offs while maintaining accountability for adoption and customer outcomes
Travel up to approximately 25% of the time to customer sites and Voyager locations is required.
REQUIREMENTS:
- Ten (10) or more years of product management experience, including at least five (5) years of direct ownership of software platform products such as developer platforms, cloud services, APIs, SDKs, or enterprise infrastructure from conception through launch and scale
- Demonstrated experience delivering AI/ML software products into production, including direct product ownership of generative AI, large language model (LLM), or AI agent capabilities
- Deep technical understanding of modern agentic AI architectures, including LLM orchestration, multi-agent systems, tool and function calling, Model Context Protocol (MCP), retrieval and context engineering, memory, evaluation frameworks, and agent observability
- Familiarity with agentic AI frameworks and platforms such as LangGraph, OpenAI Agents SDK, Claude Agent SDK, Google ADK, AWS Bedrock AgentCore, Azure AI Foundry, or equivalent technologies
- Ability to evaluate technical architecture and product design trade-offs in collaboration with software engineers and technical leadership
- Strong understanding of the agentic AI market, including key technology providers, business models, adoption challenges, competitive dynamics, and opportunities across model, platform, and application layers
- Proven experience managing complex enterprise, government, or highly technical customers and incorporating customer insights into product roadmap development and prioritization
- Demonstrated ability to own product strategy and execution in a zero-to-one (0-to-1) environment, navigating ambiguity, exercising independent judgment, and delivering measurable results
- Experience leveraging AI tools to accelerate product research, analysis, documentation, and rapid prototyping
- Exceptional written, verbal, and presentation skills, including ability to develop clear product requirements and communicate complex technical concepts to executive and customer audiences
- Bachelor's degree in Computer Science, Engineering, or a related technical discipline; equivalent practical experience may be considered in lieu of a degree
- U.S. Citizenship and ability to obtain and maintain a U.S. Security Clearance at the appropriate level
PREFERRED QUALIFICATIONS:
- Prior hands-on experience as a software engineer, machine learning engineer, or solutions architect before transitioning into product management
- Product management experience at a leading artificial intelligence, cloud computing, or developer-platform company
- Experience developing and delivering AI products in regulated, security-sensitive, or mission-critical environments, including aerospace and defense, government, healthcare, or financial services
- Familiarity with on-premises, air-gapped, or accredited cloud deployments, including FedRAMP and Department of Defense Impact Levels
- Experience developing products for technical professionals and domain experts where accuracy, reliability, and verifiability of AI-generated outputs are critical
- Experience defining pricing, packaging, and go-to-market strategies for software platforms, APIs, or usage-based products
- Master's degree in a related technical discipline or Master of Business Administration (MBA)
- Active U.S. Security Clearance
