Software Engineering Manager – Generative AI & Enterprise Platforms

Hewlett Packard Enterprise • San Juan, PR

3d • Hybrid

About The Position

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Requirements

• Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline
• 15+ years of relevant industry experience
• 5+ years’ people management
• Multidisciplinary engineering leadership: Experience managing and scaling teams across AI, frontend, cloud, networking, and quality engineering.
• Distributed leadership and credentials: Experience leading geographically distributed teams and partnering across organizations, supported by relevant agile, cloud, security, AI/ML, or leadership training or certification.
• GenAI & Frontend: experience in building products with LLMs, RAG, agents & React JS
• Cloud & Networking: sound understanding of AWS AI services, Kubernetes, infrastructure automation, observability, distributed systems Architecture, advanced networking protocols EVPN, VXLAN, BGP, IP Clos fabrics, Netconf, Restconf, gRPC, SNMP, LLDP, observability, CI/CD, infrastructure automation
• Quality Engineering: experience managing the product quality aspects including Test automation, AI evaluation, performance, scale, network validation, release readiness
• Product Delivery: Requirements clarity, roadmaps, prioritization, dependencies, risk management, POC-to-production
• Stakeholder Leadership: Executive, product, engineering, offshore, cross-functional collaboration
• Responsible AI and quality: Knowledge of LLM and RAG evaluation, adversarial testing, prompt-injection risks, responsible AI, and production monitoring

Responsibilities

• Build, coach, retain, and grow an inclusive, accountable multidisciplinary engineering team with clear ownership and succession planning.
• Translate customer and product needs into clear outcomes, roadmaps, staffing plans, milestones, dependencies, acceptance criteria, and incremental releases.
• Enable rapid feedback, disciplined prioritization, risk management, transparent reporting, and effective re-planning as requirements and priorities evolve.
• Support fast experimentation and proofs of concept, then transition validated ideas into secure, maintainable, production-ready products.
• Partner with senior technical leaders to guide architecture and establish expectations for quality, security, accessibility, responsible AI, testing, observability, CI/CD, documentation, and technical debt.
• Ensure strong AI and software validation, governance, privacy, service reliability, incident management, resilience, capacity planning, and continuous improvement.
• Coordinate product, engineering, security, business, onshore, and offshore leaders through clear decisions, handoffs, communication rhythms, shared metrics, and end-to-end accountability.
• Align engineering investment and costs with customer value, drive reusable platform capabilities, manage dependencies, and influence broader engineering strategy.

Benefits

• Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
• Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
• Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager