Principal Product Manager - AI/ML

About the role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Product Manager - AI/ML based in the United States. This role will lead the strategy and development of AI/ML capabilities within an enterprise platform designed to support critical operational and defense-related decisions. You will own the AI/ML product roadmap, identifying high-impact opportunities where intelligent technologies can automate workflows, improve decisions, and deliver predictive insights. Working closely with data scientists, ML engineers, product managers, designers, and customer-facing teams, you will turn complex technical capabilities into practical, scalable products. You will combine strong product judgment with a working understanding of AI/ML methodologies to prioritize initiatives that deliver measurable customer value. The position also involves shaping AI/ML market positioning, evaluating competitive opportunities, and helping differentiate intelligent capabilities in a rapidly evolving space. You will engage directly with users to understand operational challenges and bridge the gap between emerging AI research and real-world applications. This is an individual contributor opportunity for a customer-focused product leader who thrives in ambiguity and wants to build solutions with meaningful impact on global security.

Responsibilities

• Own the full product strategy for intelligent capabilities, from identifying customer problems and validating opportunities through prioritization, development, launch, and ongoing improvement.
• Work across technical and commercial teams to ensure AI/ML solutions are valuable, feasible, scalable, and integrated seamlessly into customer workflows.
• Define and communicate the AI/ML product strategy and roadmap in alignment with customer needs, organizational objectives, and market opportunities.
• Identify and prioritize high-impact use cases where AI/ML can automate manual processes, improve decision-making, or provide predictive insights.
• Spend time with users and customers to understand their pain points and identify recurring opportunities for intelligent solutions.
• Translate customer needs and technical capabilities into clear product requirements, PRDs, user stories, and feature specifications.
• Validate AI/ML concepts using frameworks such as the value proposition canvas and business model canvas, building comprehensive business cases for prioritization.
• Conduct market research and competitive analysis to inform product positioning and identify opportunities for differentiation.
• Partner with data science, AI/ML, and software engineering teams to evaluate technical feasibility, investment requirements, timelines, and delivery risks.
• Collaborate with designers and application-focused product managers to integrate AI/ML capabilities naturally into existing workflows and user experiences.
• Define success metrics and evaluate the performance and customer impact of AI/ML initiatives.
• Facilitate the market introduction of new AI/ML capabilities while balancing risk, cost, customer value, and speed.
• Work with sales and customer-facing teams to communicate the value proposition of AI/ML features and understand market demand.
• Ensure successful integration of prototypes and new capabilities into the broader platform for use across customer accounts.
• Bridge emerging AI/ML research and practical applications in defense acquisition and operational environments.

Requirements

• The ideal candidate brings substantial product management experience, hands-on exposure to AI/ML product development, and strong business judgment.
• Comfortable operating in technically complex and ambiguous environments while communicating effectively with both technical experts and non-technical stakeholders.
• U.S. citizenship is required.
• 5+ years of product management experience, including at least 3 years focused on AI/ML products or data-driven solutions.
• Experience with the ML development lifecycle, including data preparation, model training, validation, deployment, and monitoring.
• Proven track record of successfully launching AI