Principal Product Manager, AI Strategy and Governance

BMA Group Global; San Juan (PR); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

BMA Group Global is seeking an experienced Principal Product Manager to own strategic technology domains, drive roadmaps, and establish governance across AI-related and emerging tech initiatives.

The role focuses on defining enterprise technology strategy, aligning investments with business priorities, and driving cross-functional execution across AI, networking, security, cloud, and infrastructure areas.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Business or related field.
• 10+ years of experience in Product Management, Product Line Management, or Product Strategy.
• Experience managing portfolios in networking, security, infrastructure software, cloud platforms, AI, or adjacent tech.

Responsabilités

• Own product strategy, roadmap alignment, and lifecycle management for AI, PQC, networking, and security initiatives.
• Drive AI strategy and governance, establishing portfolio visibility, ROI metrics, and exec reporting.
• Lead cross-functional planning across Product Management, Engineering, Security, Finance, and GTM teams.
• Develop business cases, requirements, market positioning, and lifecycle strategies for capabilities.

Connaissances

Product lifecycle management

Technology strategy

Cross-functional leadership

Roadmap development

Executive communication

Formation

Bachelor's degree in Computer Science, Engineering, or Business

Description du poste

We are seeking an experienced Principal Product Manager to own strategic technology domains, drive roadmap and lifecycle decisions, and establish governance and investment discipline across AI-related and emerging technology initiatives.

This role will play a key part in defining enterprise technology strategy, aligning investments with business priorities, and driving cross-functional execution across AI, networking, security, cloud, and infrastructure technologies.

Responsibilities

• Own product strategy, roadmap alignment, and lifecycle management for strategic technology initiatives, including AI, Post-Quantum Cryptography (PQC), network operating system/platform evolution, networking, and security innovations.
• Drive enterprise-wide AI strategy and governance, establishing portfolio visibility, investment prioritization, performance metrics, ROI frameworks, and executive-level reporting across AI initiatives and customer-facing AI offerings.
• Lead cross-functional planning and execution across Product Management, Engineering, Security, Finance, and Go-to-Market teams.
• Develop business cases, product requirements, market positioning, and lifecycle strategies for new and existing capabilities.
• Drive successful product introduction, adoption, monetization, evolution, and retirement.
• Identify technology gaps, dependencies, risks, and strategic opportunities across networking, security, AI, and cloud initiatives.
• Develop recommendations supporting long-term technology and portfolio evolution.

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, Business, or a related field.
• 10+ years of experience in Product Management, Product Line Management, Product Strategy, or a related discipline.
• Experience managing networking, security, infrastructure software, cloud platforms, AI, or adjacent technology portfolios.
• Proven track record leading complex cross-functional initiatives from strategy through execution and commercial delivery.
• Experience presenting roadmaps, business cases, strategies, and investment proposals to senior leadership and executive stakeholders.

Required Skills

• Product Line Management and Lifecycle Management for Networking, Security, or Infrastructure Software products.
• Technology Strategy and Business Planning.
• Cross-functional leadership.
• Product roadmap development and portfolio management.
• Executive-level communication and stakeholder management.

Preferred Qualifications

• Experience with AI, Generative AI, Agentic AI, or AIOps technologies.
• Knowledge of Cybersecurity, Cryptography, Post-Quantum Cryptography (PQC), Secure Development Lifecycle (SDL), or Compliance frameworks.
• Experience with network operating systems, networking protocols, cloud infrastructure, or observability platforms.